拿下 Uber 作为客户的疯狂故事 | Jonathan Becker(Thrive Digital)
The crazy story of landing Uber as a client | Jonathan Becker (Thrive Digital)
AI’s Impact on Performance Marketing Teams
Jonathan Becker: There’s a lot of different ways that we are beginning to use AI to do more with less, basically. The effect ultimately that we’ve seen from a human capital point of view is displacement. We have more people now than we’ve ever had, but the nature of the work that they do is more strategic. It’s more about modeling, validation, asking the right questions, being focused around creative levers. And less so the like trench work of implementation and bid modifiers at the keyword level on Google search, and some of the really hardcore manual analysis we had to do.
On our creative group, we can come up with mockups, in literally, 1% of the time that it took. And so you still have to understand what questions to ask of the AI and be capable of iterating, but these rough drafts that you might show the artwork of to a client to say, “Do we like this more or do we like this more?” That’s AI generated. It’s really interesting.
Inside Performance Marketing
Lenny: Welcome to Lenny’s Podcast, where I interview world-class product leaders and growth experts to learn from their hard won experiences building and growing today’s most successful products. Today my guest is Jonathan Becker. Jonathan is a legend and an OG in the world of performance marketing. On this podcast, we’ve done deep dives into the many aspects of growth, including SEO, sales, conversion optimization, retention, product led growth, product led sales. But this is the first episode where we get super deep on paid growth. For the past decade plus, Jonathan and his team have planned, built, and executed more than $3.5 billion in paid acquisition budgets for companies like Uber, Asana, Square, Masterclass, Tempur-Pedic, and many more. And they’ve built their agency, Thrive Digital, into one of the preeminent independent digital marketing agencies. In our conversation, we get real deep into all things paid growth, including what’s changed with recent privacy shifts, why focusing on creatives is the new biggest opportunity within paid growth. How to think about attribution, and what’s changed there. What to look for in people you hire to run paid growth for you, how AI is already changing how paid growth teams operate, and so much more. Enjoy this episode with Jonathan Becker after a short word from our sponsors.
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Jonathan, welcome to the podcast.
From Web Dev to Performance Marketing
Jonathan Becker: Thank you. It’s a pleasure to be here.
Lenny: It’s my pleasure. What we’re going to be doing with this episode, is we’re going to be digging real deep into all things paid growth, which we’ve never done on this podcast yet. And normally I actually skip this part, but I thought it’d be actually helpful for you to spend a little bit of time to give us a little bit of background on your experience in the space of performance marketing, AKA paid growth, AKA paid ads. You tell us what the right term is for this genre. But yeah, just tell us what you’ve been up to in this area over the past decade and a half, I think.
Meeting Uber’s Founder in a Taxi
Jonathan Becker: Sure. No, that’s a great way to kick things off. And again, thank you for having me here. If I think about it, my experience goes back about 15 years into this space. I started off as a web developer. And as I built and structured websites for people, I became pretty obsessed and fascinated with the fact that you could build landing pages or homepages, or whatever it was. Basically the content on a website, and structure it in a manner where you had the chance to surface in organic, so SEO results more prominently. And as I became a practitioner of SEO, SEO really being my first love of marketing, I started attracting attention and people wanted to hire me on as a freelancer. And what I noticed is that as people started asking me questions like, what was the ROI of our SEO campaign? Or, how do I scale this, or whatnot? The answers to their questions ended up being a lot more aligned with what then was the biggest driver in the paid acquisition world, which was paid search.
And so I started experimenting with paid search. And what I found was that it was a tangible format and lever through which we could basically give people the types of results they were expecting from SEO, but that were obfuscated in terms of Google’s analysis algorithm from an organic point of view being somewhat intangible. And Google slowly removing a lot of the data early on that allowed you to guess and test more easily. 10 plus years later, what started off as this freelancer consultancy that I started running in a walk-in closet in my old apartment, became 130 people. And we manage about $500 million a year in ad spend for small and large companies, including Uber, Asana, Tempur-Pedic. We’ve worked with Lululemon. Very exciting companies, mostly from the United States, even though we randomly happen to be based in Vancouver, Canada.
Lenny: There’s a number of threads I’m going to pull on there over the course of our chat. But you mentioned Uber and you told me that you had a crazy story about how you actually landed Uber as a customer. Could you share that?
Creating Your Own Luck
Jonathan Becker: I had been running Thrive for a couple years, and it was a very excellent regional agency in Canada with really cool local clients. In 2013, I got invited to go down to the TED conference, which was in Long Beach, California. And my friend Andrew Wilkinson asked me to join him at a dinner that night. I didn’t know anybody from the TED community at the time. So we have dinner, and then afterwards as it goes at conferences, there’s an after party. And so essentially I hop into a taxi, everybody else sped off in their cars, or however which way they were getting there. And as we’re talking to the driver saying, “Hey, we’re going to this place, can you take us?” There’s a knock on the window and the person outside says, “Hey, I think I’m heading to the same destination. Do you mind if I hop in this car with you?”
And so we’re like, of course. And I turn to him and I’m like, “I’m Jonathan. I run a 10 person agency out of Vancouver.” And he says, “Hey, I’m Garrett Camp. I started a company called Uber.” And so ironically, I meet the founder of Uber, the company that is in the process of disrupting the entire taxi industry worldwide in the back of a taxi cab. And what happened next basically changed my career forever. We end up at this party. At the time I was spamming Uber’s referral program. Kind of a long story, but essentially I was using paid search to camp out on their branded keywords. And as people would sign up with my confusingly similar snippet to Uber’s organic snippet, I was essentially siphoning off referral credits. So I would get $20 every single time someone signed up.
And I ended up making tens of thousands of dollars doing this. And so fast-forward, I’m getting a drink at the bar next to Garrett, and in my head I’m like, should I tell him about this? Maybe I can land them as a client. This would be really interesting. And essentially I tell him, I’m like, “Hey, I’m doing this. I’m adding zero value, but this is a loophole in your marketing system, and someone should close it.” He essentially is like, “I need to report this to the board, but here’s my card, write me what you’re doing and we’ll contact you.” And so I get contacted by a bunch of his lieutenants. If you’ve read the book, Super Pumped. All the people that we dealt with at the time are in the book, and [inaudible 00:09:58]-
Performance Marketing Terms and Definitions
Lenny: I watched the show.
Performance Marketing: A Drug? Portfolio Thinking
Jonathan Becker: Yeah, exactly. And they were like, “Hey, this is bad, you have to stop doing this. But can we hire you to solve the problem?” And so what started off as me running projects for local bars in Vancouver, or clothing stores, or whatever it was. Turned into me landing early stage Uber as a client, and really graduating us from competent professionals to leaders in our sector. And so it was a fascinating project, and we worked with Uber for 10 years.
Companies Suited for Performance Marketing
Lenny: That is an incredible story. I love the arbitrage game you’re running there. It’s basically siphoning VC money out of Uber. And I guess the lesson there a little bit is just sometimes it’s this interesting combination of hustle in terms of just make some money, and also taking advantage of this opportunity you were plopped into.
Jonathan Becker: Yeah. I think people often talk about entrepreneurs who have been successful and they comment that they’re lucky. Whereas, I actually look at that situation and I think that you have to make your own luck. I could have been like, oh, cool, I met this guy in the back of a taxi and that was it. But I decided to take a risk, being that I could get embarrassed or nothing could happen, or they could shut down this referral gimmicky thing that I was doing. I had very little to lose, I guess, ultimately. But a lot of people just don’t make these moves in life because they’re nervous, or they’re worried too much about what the downside might be. And so I very much was like, I’m going to shoot my shot here. And you put yourself in situations where everybody has luck, but you have to capitalize on it basically. And so that was an example of being willing to take a risk, and it paying off pretty big time I think.
Diversifying Your Channel Mix
Lenny: Also, being at Ted, that seems like a good move. Networking, paying off. Love that he was in a taxi, that’s hilarious. I was going to ask you about that. And clearly, he’s doing some research [inaudible 00:11:55].
Jonathan Becker: Yeah.
Payback Periods and Modeling
Lenny: Let’s start diving into the world of paid growth. And if you think about just paid growth.. And again, actually, what do you refer to this area as? Paid growth, performance marketing, paid ads?
Product-Market Fit is a Prerequisite
Jonathan Becker: There’s a lot of interchangeable terms. Performance marketing is a common term. Paid acquisition is a common term. Some people think of those two things as growth marketing, whereas I see growth marketing as a bigger practice area within which paid acquisition sits. And then of course there’s subsets, there’s social ads, there’s paid search, there’s programmatic. And so there’s a lot of different ways of saying the same thing.
Paid Growth for Startups Still Viable?
Lenny: I’m going to use performance marketing. I like that term because it really describes what it is. It’s like marketing with you can measure performance. Let’s see how that goes. As a channel, it’s such an interesting mix of, on the one hand it’s this incredible growth lever that allows basically any company to spend money and understand the ROI and acquiring the users. This thing that never existed before. Essentially Facebook and Google created these platforms. On the other hand, there’s this sense that it’s this drug that you start and then you get hooked on and you can never leave. And there’s a lot of advice of just, avoid paid growth. That’s just not a good healthy way of growing, especially as a startup. And so my question to you is just, how do you think about that element of it? And then even more specifically, what products do you find paid growth as a channel is right for and not right for?
Jonathan Becker: Yeah, it’s a really great question. And so, I think there’s a couple different things that need to be unpacked here. Paid acquisition or performance marketing-
Who Succeeds in Performance Marketing Now
Lenny: Performance marketing. [inaudible 00:13:35]-
Jonathan Becker: … you can call it, can be seen as a drug, I suppose, when you are entirely reliant on it to fuel the revenue of your business. The analogy that I try and use here is that it would be very dangerous if I was advising you with your life savings and I told you to put it all in a single stock in the stock market. Stocks can be volatile. And as a result of that, your net worth would fluctuate quite a bit in the short-term and the long-term based on a lot of things that you don’t control, like the external markets, or things that are happening within the performance of that particular company that you invested in. When I think about all of the marketing mix, so email, direct mail, linear television, performance, marketing, whatever it is, I think about it as investing capital with the expectation of a return. And in the same manner that I would not take all of your life savings and dump it into a single stock, I don’t recommend putting all of your money into a single performance marketing channel, and then somewhat exposing you to the volatility of fluctuating CPCs or changing market conditions. I would agree with you that it is a drug, in a sense, if you have all of your eggs in one basket, and that basket takes you on a very intense rollercoaster in terms of performance. But when I think about the fact that Thrive manages $500 million a year, I think of myself to a extent as a fund manager, we are managing people’s money with the expectation of a return. And part of the strategy is to diversify across channels. And so we decrease the reliance of any individual project on a singular channel and its performance.
And similarly, I always say to people that the first rule of performance marketing is not to forget about offline marketing and the classic marketing that works for organizations. In other words, direct mail can really work, email marketing works beautifully, SEO can really work. There’s all of these wonderful things at your disposal. The real crash and burn scenarios that I’ve seen are these, not fly by night brands, but brands that figured out… Just like with Uber, I figured out this weird tie-in where I could make free money from their referral system. Sometimes people find shortcuts, hacks if you will, to scale rapidly because of one specific nuance of the Facebook ad platform, or something like that. And what they fail to see is that those loopholes come and go.
And so if they scale massively and their entire business is predicated on the performance of this one loophole that they found, or investing everything in a single channel, and then the conditions change, they’re not going to be very happy and the business will suffer dramatically. And so when I think about this, it’s a responsible channel mix, diversity, and understanding that you can’t be overly reliant on performance marketing for the success or failure of your business.
SEO vs Paid Growth Trade-Offs
Lenny: What about the second part of that question of when you think about when companies come to you. What do you look for to help you understand this is going to be a really good fit for performance marketing and this is going to give them a lot of opportunity to growth, versus maybe not, maybe it’ll be a small sliver but it’s not going to be a massive success for them?
Jonathan Becker: Yeah. I would say that the answer to that question is different at different stages of a company’s life cycle. Early stage, look at what the company is doing, look at your own company. Have you established product market fit? Is this an idea that has yet to be tested, and are they entirely looking to performance marketing to scale everything? Are they at risk of it becoming an over-reliance on performance marketing? At a later stage we look at certain criteria that they might or might not possess. Typically, that will come down to resourcing.
The question at a later stage is not, does it work? But, to what scale can it work? And so we are looking at things like, do they have adequate creative resources and buy-in? Does creative resourcing tie into performance, and can we create a feedback loop there around testing? I’ll talk to you about that in a bit. Do they have professional marketers on staff? Are there people who have experience doing what we do, that speak our language so to speak? Or is part of this an organizational educational, and creating buy-in through stakeholders process that needs to take place? Do they have technical resources? If we say, “Hey, tracking and attribution is broken, here’s how to solve that.” Can you implement it? And so on and so forth.
There’s no one magic formula for what works or what type of company will be successful on performance marketing channels. Just as evidence of this, Google, which I think had a down quarter reported sales this week, and it was 32 billion. That’s $100 billion on just Google and Facebook in three months, and the majority of that revenue is from ads. This works really well for lots of different companies, it’s just a question of at what scale.
Why Ad Creative is the Biggest Lever
Lenny: Just to pull an thread a little bit more. Something I’ve heard from other guests is that paid ads are best for products where you get basically payback really quickly, basically to feed the flywheel of spend so that you’re not sitting around waiting for someone to buy something in the future, or it’s a small trickle of pay. How important is that, I guess? Do you find that you could just do paid growth for any company, it doesn’t matter their business model? Or is there something you’re like, okay, this needs to exist for you to invest serious resources? And even hire that team that you just talked about.
How to Test Ad Creatives
Jonathan Becker: It’s always nice when there’s a quick turnaround on investment and return. And that’s wonderful for like D2C or e-commerce style businesses where they’re essentially taking the revenue to fuel additional inventory and operating costs. However, not all businesses work that way. And so, in a B2C or B2B lead generation scenario, we have to undertake pretty sophisticated modeling around these abstract concepts, like lifetime value. Which is difficult, because most businesses are relatively new that we work with, and so the idea of lifetime value is a misnomer. They don’t know what that is yet.
But we have to model things like LTV to CAC, so cost per acquisition costs versus lifetime value and the period within which the payback occurs. You end up getting to a pretty sophisticated place where you can build out things like a lead scoring model, which predictively can determine in a statistically significant way the likelihood that one lead will convert to revenue over another. And so there are ways around the slower payback period that still end up being pretty accurate based on what you’re bidding on today versus the latent revenue that will be accrued to those campaigns through attribution.
The Power of User-Generated Content
Lenny: Do you have any just rules of thumb for someone listening and trying to decide, is paid a real model for us, either on LTV or CAC, or payback period? Or something just like, here’s what you probably should have, especially early stage for you to feel like paid growth is going to be a great lever for you to use, and maybe a primary lever.
Jonathan Becker: Product market fit. If you know that your business sells into audiences. Let’s say you are a social media influencer or you had a really strong email marketing game, or organically your content surfaces within Google search results. Or, you did a lot of direct mail and linear television and billboard advertising and that worked. If other things work, it is highly likely that paid acquisition will work. The issue for most companies is in this incorrect assumption that the data that is provided through paid channels allows you to have full end-to-end understanding of attribution. Which is wrong, it’s never been that way. And the other aspect of this is the patience to understand that every business is unique, and these metrics that we know are important are different for every business. Lifetime value, like propensity to repurchase, ROAS, which is return on amount spent, CPA, CAC, all of these different things are different for every business.
Even if I worked with two hotels in the same city, they would have different results based on the nuances of their budget, their brand, the market that they sit within, the services that they offer, and so on and so forth. I think that everything else, the main problem here is that nobody should expect an overnight turnaround with performance marketing. It is a very difficult channel to manage, and that’s why people hire experts like us to help them with it because it’s a never ending problem with constantly changing issues. It’s always been like that, that’s not a new thing since pandemic, or whatever. And it will take some time to work out what works.
Testing Tools and Processes
Lenny: I have this framework of there’s these four growth channels, basically growth engines is what I call them. There’s paid/performance marketing. There’s SEO, there’s virality in their sales. And essentially there’s some companies whose growth is almost primarily paid. A few that come to mind are booking.com, which we know well at Airbnb, which is almost all paid growth driven. Credit Karma comes to mind as a classic paid performance marketing. I keep coming to paid growth as my term, so I’m just going to stick with that. TikTok initially was very performance marketing, paid growth oriented. Wish was another one I think about.
And I want to talk about how much things are changing within this realm. But before we get there, do you think there’s still an opportunity for startups to emerge where they get to scale almost exclusively through performance marketing? And this question actually came from Twitter, someone tweeted this randomly the other day. And I was like, oh, that’s a great question for Jonathan. And by the way, her name is Liz.
And I was like, oh, that’s a great question for Jonathan, and by the way, her name is Liz Georgie asked this question, so there you go.
Jonathan Becker: I’ll put it this way. Every unicorn from the 2010s era that scale did performance marketing, but not everyone during that time who did performance marketing scaled. So I want to remove the bias here that just because all the successful organizations did this didn’t mean that it was a magical channel for everyone. We had plenty of projects that we worked on that flatlined during that period. And so the sense that there was a period of time where this was easy or it worked on any project is not correct in my opinion. With that said, we see companies that are spending millions of dollars a month on performance marketing channels like Google and Meta still, despite all the ups and downs that they have faced and they do so profitably.
And I think there’s some really great examples of companies that have scaled in relatively recent times, almost exclusively through paid. Grammarly is a really good example of this. They have been good at solving for this problem that exists around understanding the cost per acquisition versus lifetime value, how sticky customers are, predicting how much revenue can come from a customer and backing out into therefore how much we can pay per click and per lead and so on and so forth. Athletic Greens is another good example. So Athletic Greens is actually a pretty old company. I think they’ve been around for 10 years. I think they have retail distribution. I think they have done a lot of the more classic marketing things that are important in terms of developing that channel mix. But I think the amplification of that brand really, really gained traction quite recently where now everybody knows what Athletic Greens is, and that’s because they’re buying loads of ads on TikTok. They’re buying loads of ads on other social channels like Facebook. They’re investing in podcasting partnerships. But this is all digital paid acquisition.
And so it had a wonderful effect on this really interesting business that they had already built. So yes, it’s still doable. We still see people doing it, and I think that there’s been a bit of a reckoning in the performance marketing industry pertaining to things like privacy and the changes that Apple made and people being very creeped out at how their data is being used rightfully so. And then obviously the economy in 2022, we had a terrible macroeconomic shift where interest rates rise and inflation’s out of control. And so of course the first thing that people cut are typically marketing budgets and we see Facebook and Google and other ad channels directly suffering from that. So all of that said, these storms pass. And so when the economy improves, generally speaking, I imagine people will go back to trying to find as much inventory from a pay per click point of view that they can purchase as possible and figuring out the economics of how to do that.
Other Channels: TikTok, YouTube, Snap
Lenny: I was definitely going to ask about that, and I love that you touched on it, just clearly a lot is changing in paid growth/performance marketing recently. You talked about the privacy stuff, you talked about COVID kind of shifted the way people spend and kind of dropped and then came back. So my question is who are you finding has the most success these days in performance marketing? And I will plant one seed, which from the examples you just shared, it feels like it’s mostly companies that are very efficient. I think Grammarly, they’re just super efficient as a business. And then I think Analytic Greens, they’re a sponsor and their negotiations for sponsoring is just like, okay, here’s the number that makes sense for them financially, and they’re not going to go anywhere above that.
Jonathan Becker: Yeah. Because they know, they understand how many impressions they’ll get and on average what the quality of impression is and how many dollars they can put behind that before it has a cliff in terms of ROI.
Is TikTok Overrated or Underrated?
Lenny: Exactly. So broadly, who do you think is having the most success now with the changes and then generally, what should people know about what has changed in the past say year in the space of performance marketing?
Jonathan Becker: I’m not going to really be able to point to this company is really getting it right and I think that you can do that, but it’s like saying, a friend of mine who recently on Twitter tweeted this funny thing where he was like, this is the number that I used to win the lottery said every successful founder ever trying to give advice to other founders. And so in other words, just because they won the lottery doesn’t mean you’re going to be successful picking the same number.
To that extent, there is a bit of a playbook around modern day performance marketing, and that includes everything from really stringent and rigorous creative testing and thinking about that correctly to understanding the subjectivity of attribution and its strengths and weaknesses, doing a lot of work around validity of these campaigns. So really just the measurement and whatnot. Companies that can do those things and then understand their own marketing economics, in other words, quite basically how much can we afford to spend in acquiring a customer on any channel before that acquisition is no longer profitable. So really focusing on the profitability of the bottom line and not just break net growth, for instance. Companies that have those capabilities and see the world that way tend to be successful in performance marketing.
B2B SaaS Customer Acquisition Channels
Lenny: When you were giving your intro, you talked about how you initially started doing SEO, that’s where you started, and then you moved to paid growth. Well, how do you think about those two investments as a founder trying to decide which direction to go? What would your advice be of spend your time here versus there if X, Y, Z?
Jonathan Becker: When I’m asked a question of should we put money into organic search or paid search? My response is often that they’re actually not mutually exclusive to one another. So it’s a great idea to do both, and that backs into my strategy of diversification of channels. So don’t build up exclusively in one area and create volatility within your marketing mix essentially. SEO is a wonderful marketing capability when it’s built out correctly. I think the issues that you run into are cause and effect related. So one of the things that people really like about performance marketing theoretically is that we can spend a certain amount and then if we’re modeling things correctly, we can essentially determine how much revenue is generated from the actions that we took. Finance teams love that, C-suite teams love that, they can build projections, they can budget around it. There’s some degree of predictability around it if it’s done properly.
Search engine optimization is different in that the attribution can be tough. It’s difficult to determine whether ultimately the actions that you took contributed to a rise in organic traffic. You have to essentially correlate that. And the reason is because when you build clusters of content and it’s grouped thematically and you’re targeting buckets of keywords, whether they’re long tail or head keywords, whatever it may be, you can publish all of that on your website. Google still has to crawl it. They run it through their analysis algorithm, which is comprised of 200 different signals, of which maybe 20 to 30 have been publicly disclosed. So it’s a bit of a black box.
We don’t really know ultimately what ROI comes off of that unless you’re very sophisticated, like probably one of your other guests, Ethan, in terms of measurement. Whereas paid, the ROI is still a difficult problem to solve, but there was a lot more of a linear relationship as it relates to attribution. And so paid being tangible was the reason why I leaned heavily into paid and ultimately away from SEO. But I do think that if you do SEO properly, the payoffs are indisputable and it is certainly an important part of a modern media mix.
Basic Concepts of Attribution
Lenny: You mentioned this earlier, I’ve heard this more and more recently that one of the biggest levers these days in paid growth is around creatives. It’s not tooling or smarter data, or you tell me if I’m wrong, but it’s just getting better creatives. And so I’ll let you actually explain, what are creatives? There’s a term creatives that people outside the industry don’t really necessarily get. And then broadly, what should people be doing to optimize the way they approach creatives?
Attribution Model Types and Challenges
Jonathan Becker: Certainly. So when we say creative, we’re referring to the assets that power typically visual programmatic or pay per click campaigns on social channels or display networks. And so literally the motion graphics ad that you see on Facebook, the user generated content that you see on TikTok or a static ad that you might see that has a pretty picture in it or whatever. And so I think that when we talk about creative as a big lever around efficiency and optimization, the underlying conversation there is that over time our industry has been heavily automated. So a lot of the levers so to speak around performance have been automated by Google and Facebook over the last seven to 10 years. That’s because originally when you ran these campaigns, you needed to have a rocket scientist in front of them. It was so complicated and there were so many different things that you could get wrong, and their solution, the channels like the big tech company solution to this is figuring it out for you. So eventually Google wants you to say, hey, I’m Google, give me your credit card and I’ll take care of everything else. Facebook-
Lenny: And the URL to point people to, and then we’ll do the rest.
IDFA and Apple’s Privacy Changes
Jonathan Becker: Yeah. I don’t know if that’s a great idea for consumers, by the way. But in the meantime, there’s certain things that have just been fully automated. In the context of creative, it’s still one of these things that for now is not auto-generated in the world of AI and all the changes that we’re seeing. Maybe that’s something that will change. But for now, essentially creative directors and their teams are concepting and producing different types of assets. And so there’s a bunch of problems that we typically see when people come to us. So number one, performance marketing and brand marketing in a lot of organizations are two different things. And the designers that occupy brand teams bandwidth and whatnot often don’t have a sense of how paid acquisition works.
And so one of the pitfalls of working with certain companies or the mistake that they make is the design team will hand off a file full of random assets for paid acquisition without any sense of how the channel works. And what I mean by that is these days we’re using the analogy, the classic analogy of the funnel to organize our thinking around creative assets. So you can think about this as generating intent at the top of funnel and capturing intent at the bottom of the funnel. When I think about an experience that I want a consumer to have on Facebook, audience targeting and creative, I think about us beginning a conversation at the top of funnel creatively with an audience, having that conversation change as we say different things, and the audience that we’re targeting ultimately graduates through different behaviors on our website from one to another, and then ultimately it resulting in an end to the conversation where they take an action hopefully that the brand that we’re working with is looking for.
And so there’s a clear beginning, middle and end to that. And one of the major pitfalls that we see is that certain brands just dump one homogenous message into all of their targeting. You see the same ad over and over again. It creates banner blindness and it’s a total lack of efficiency. The antidote to that is to have resources dedicated to paid and essentially iterate upon the creative assets themselves based on the data that we see coming from ad sets and campaigns in various channels. And so what that means is that you have to experiment. You have to take a bit of a scientific approach, although it’s a bit of an art and a bit of a science. You have to try and isolate variables, maintain similar conditions across targeting, and then determine which style and feature of an ad performs best at which stage of the funnel versus which audience. And the results that we see are dramatically different from brand to brand. But if you are not undertaking rigorous testing in conjunction with how you are driving the iteration and design of your ads, then you will not make progress essentially.
Core Advice on Attribution
Lenny: Is there a specific example that comes to mind here as something we did that just dramatically changed the impact of a change to a creative? Or if you can’t think of one, are there just specific tactics that you can suggest for people to improve the way they approach creatives?
How AI Impacts Performance Marketing
Jonathan Becker: Yeah. So I think from a testing point of view, let’s say I was running ads on Meta, beneath the campaign level when I create a campaign, the structure that my testing might take would be that I would have an audience, a single audience at the ad set level, and then I would have two nearly identical creatives within that ad set. The only thing being different across those two creative assets is a single variable. So it might be the copy, it might be an image or whatnot. That allows us to isolate a lot of variables and really test into one singular change across two creative assets. There’s a lot of nuance to this. So sometimes the ad-serving algorithms, even when we set up a test structurally in that way, we’ll serve one ad a different number of impressions than the other ad, in which case we then have to say, what is a leveling factor that allows us to look at these two ads equally, even though one received dramatically more impressions than the other?
This becomes where it becomes subjective in terms of how you want to determine success. But a good example is looking at the click-through rate, which is essentially a ratio or a metric like impressions until conversion, which is a leveling metric that allows us to determine, even though in a scenario where two ads facing the same audience within the same campaign received different numbers of impressions, we can still measure the efficiency or effectiveness of one ad over the other using metrics like that. And so from a testing point of view, I think that this is one way that we might look at trying to assess ad performance so that we can gather learnings, send that back to a creative team and say, hey, it turns out that when this copy is used at this stage of the funnel, it converts 50% more frequently than this other copy.
So let’s now take that copy, use it as our base copy and challenge it with a different type of copy and see if we can continually iterate and refine. So that’s a very practical example of how ad creative testing might work on a channel like Meta. You asked for specific examples where we’ve seen an unlock. There’s two that come to mind. Several years ago we realized that highly produced ads from brand teams, and there’s nothing wrong with brand teams, we work with them all the time. They do amazing work. I think we’re just trying to work as a singular unit as opposed to being fragmented. But a lot of the brand guidelines of different companies would end up yielding these highly polished assets. And when you launch those on Instagram back in the day or something like that, what we found is that they would always underperform next to user generated assets.
So a brand that essentially has an influencer in front of it that says, I tried this product, I love it, I’m filming this ad from my iPhone. Look, check it out. Here’s the product, here’s me, I’m better off for it. Whatever it is that they’re talking about. The unpolished iPhone, mobile phone creative, suddenly we realized massively outperformed these other channels because there was an authenticity to it. And rather than the brands themselves saying, hey, trust us, our product is great, here’s a third party essentially validating what is so great about these brands, basically. So I can’t speak to specific clients because I’m not allowed to talk about the work that we’ve done in large part, but that would be one example. And another example is we worked with a furniture company several years ago, which scaled dramatically, but they were having difficulty early on thinking through how to scale social ads.
And so paid search worked really well for them. Social ads, again, they had these highly produced styled rooms and one of the owners had their dog in the office all the time, and so they have these models sitting on furniture or whatever it was, and they would take these beautiful styled shots of their furniture in a room and one of the art directors was like, put the dog on the couch and let’s take some photos of dogs on furniture, which made it more playful and approachable. That one change resulted in a total unlock of their performance on paid social channels. It would double or triple the ROAS that we were seeing type thing. So it’s these minute differences that you can test into that ultimately can drive performance.
Lenny: That reminds me of Airbnb. The photography team found, and actually the photography team was initially including people in the photos of listings, and that was the [inaudible 00:42:16] images of listing photos. And it turns out when there’s no people in the listing photo, much higher conversion. And the theory basically people don’t want to see other random strangers in a place they’re going to sleep, and that was not expected.
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Jonathan Becker: That’s a really great example. And so the question becomes, as a company and as a brand, do you arrive at those learnings anecdotally by accident? Is it the brilliance of one person on the team that the whole brand is predicated upon in terms of performance? Or do you put a very rigorous structure around testing and the iteration of assets and how to determine whether something works over another thing that is a process that yields the outcomes that you’re looking for? And so a lot of times with agencies, people talk to us about the obvious hard skills that we have, but the soft skills are around process that can be deployed, that can actually be the difference between being highly sophisticated or unsophisticated. Internal teams do this too, but that Airbnb example is a great illustration of how if you put the right testing in place, you can yield an outcome that becomes an unlock for performance.
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Lenny: Getting even more tactical with that idea of testing a bunch of creatives makes me think about a story from chatting with a guy from Wish who’s had a growth at Wish about how they uploaded hundreds of variations. And I think Wish is the epitome of the opposite of brand highly polished ads or it’s just the most ridiculous looking product with just banners and numbers and prices and crossouts and all kinds of stuff, just anything that would take to get people to click. Is there a tool or process that you can point people to to help them do this testing on creatives or is it mostly built into the existing tools now and there’s nothing really fancy about it?
Jonathan Becker: We get asked this a lot and I think there are tools for different types of functions that we undertake in the process of running paid acquisition for different brands, but these days most of the testing that we do is within the channels themselves. So Meta ads, Google Ads, I keep touching on those two specifically because they’re the most advanced in my opinion. They’re really powerful. The good news here is that you don’t necessarily need some exotic tool to do sophisticated creative testing. You can do it in platform and you can use the structure that I just kind of outlined as a starting point.
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Lenny: You mentioned Google and Facebook. What is your take on TikTok and YouTube and maybe Snap? Do you recommend people go there and there’s a big opportunity? Do you think it’s overblown? Do you think people should just take Google and Facebook basically at this point? What’s your general advice?
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Jonathan Becker: So when I say Google and I say Facebook, I’m talking about the Google ecosystem of channels inclusive of YouTube. And when I talk about Facebook, I’m talking about Facebook, Instagram, and probably eventually WhatsApp, which I think will probably launch ads later this year. With all that said, some interesting opportunities these days really exist on channels like Amazon and TikTok as well as a number of other challenger channels I think. Snap I’ll talk a little bit less about because I think really there’s just fewer and fewer people potentially using Snap. There’s no knock on Snap. I use Snap, I like it a lot, but at the same time, most individuals or organizations tend to want to place ads where there’s a lot of views and engagement and the king of this right now is definitely TikTok. And so TikTok faces its own set of challenges and arguably there is as much an opportunity there as a barrier at the moment.
I love TikTok. I’m a consumer of content on TikTok, not a producer of content on TikTok. Their ads platform kind of reminds me of where Facebook ads was like six, seven years ago. It’s not super sophisticated and attribution is not great yet, but you can get cheap CPCs because there’s just fewer organizations advertising there. Fewer companies have figured out how to make that work. And same thing with Amazon. Amazon is a bit of a bespoke channel. It doesn’t work for a B2B SaaS company. It’s more specific to D2C I would say. But essentially those channels are wonderful. They’re not at the point yet where they’re kind of ubiquitous. Every single advertiser that has ever worked with us I think in the last 10 years is for sure on Google. Everybody does that. And then the question is, what else can I invest money in with the expectation of profitability?
And so TikTok and Amazon, and even if I want to break out YouTube, they tend to be a little bit more specific and they definitely work, but not for everybody yet. And so the question becomes, will TikTok become as prominent as a social ads platform like Meta Ads? And we just don’t know yet. What we see working very nicely on TikTok, by the way, are these founder led brands where the founder is the ambassador and they’re doing those handheld videos with their iPhone. They’re talking about the merits of the products that they make. They’re talking about the problems that they solve. They are great at cultivating a following. Their content is highly engaging. Those types of organizations crush it. Also, companies that got really good at partnering with influencers. So we haven’t talked about partner marketing that much, but affiliate marketing companies got into this early, and then influencer marketing networks are all over this. But essentially having these third parties be an ambassador for your brand in an authentic way, partnering with them, having them generate the content. And that’s the nature of the partnership. Stuff like that seems…
… And that’s the nature of the partnership. Stuff like that seems to work quite well.
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Lenny: Awesome, I love those bullet points of just what is likely to work on TikTok.
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Jonathan Becker: Yeah.
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Lenny: Just broadly, would you say TikTok advertising today is underrated, overrated, or just right?
Jonathan Becker: If you are e-comm based, if you’re wholesale, retail based, anything direct to consumer, you have to investigate TikTok and try and figure out whether there’s a way of promoting your products there, basically. It’s a massive, highly engaged audience with somewhat specific demographics. It’s a very exciting opportunity. Other brands need to pay attention to this and figure out what their entry point is going to be. And just because the innovation hasn’t happened for B2B SaaS yet on TikTok doesn’t mean it won’t. TikTok wants that to happen, and so the question becomes how. And so someone will unlock that, and they’ll make a billion dollars because of it.
But I wouldn’t recommend that channel to everybody yet, and at Thrive for instance, we don’t have a huge amount of people coming to us yet saying, “Hey, I’m spending $750,000 a month on TikTok, can you help me?” Type thing. The other problem with TikTok is that it’s extraordinarily creative, asset dependent, and heavy. And so you are launching net new assets several times per week, it is hard for creative teams and brands to produce that much content. It takes a machine, and that’s expensive, and so that all factors into the cost of not only just the ad dollars, but the creative resourcing and investment that’s required to power that. So it can be done in a more nimble manner if you’re spending less, but you can’t really get to a million dollars a month on TikTok without having a huge amount of creative being pushed to that channel.
Lightning Q&A Round
Lenny: Awesome, that’s really good advice. I want to chat out about AI soon, just because I imagine that could help with some of these things. But you mentioned B2B SaaS, and I wanted to ask, I imagine Google is the primary channel for B2B SaaS, and if not, or if it is, where else do you find there’s value in spending money to drive growth through B2B SaaS, which channels and ad networks?
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Jonathan Becker: So I’m agnostic here in terms of where people should be spending money. I see this world in terms of impressions and clicks, and does that conform to the marketing economics of a project that needs to be achieved in order for it to grow. It’s less about where to place your money and how to think about the placement of those funds. And so the common mistake that we see as people build out a funnel, so to speak, for B2B lead gen projects, or B2C lead gen projects, is they’ll be overly reliant on the first of a sequence of metrics that ultimately yields a sale.
So typically it’s something like cost per lead, marketing qualified lead, sales accepted lead, there might be a couple more metrics there, and then eventually a sale occurs. And so that the thinking is that, okay, for sales to occur, I need more leads at the top of the funnel. The more leads I have, the more marketing qualified leads I’ll get, the more sales accepted leads get, and ultimately the more opportunities there will be and the more revenue will generate.
And so if I think about this world of lead generation on performance marketing platforms as a function of cost per lead in that sense that I just described, then the tendency is always to want to drive down the cost per lead, thinking that that’s the efficiency, I can get more cheaper leads and that will yield more revenue. When in fact it turns out that if you flip that conversation on its head and say, not all opportunities and sales are equal, and instead of focusing upfront on a cost per lead, I now want to focus on what is a high value customer, so the cost per lead is actually higher, but the ROI of targeting those people is also higher. And so to get the higher quality leads, it’s not a function of CPL.
And so that is a very common pitfall that we see when people come to us. The antidote to this, it’s interesting, so Thrive developed an ETL tool, an extract transfer load tool called Thrive Stack. It’s not commercially available, but if you wanted a commercially available version of this, you can use something called Supermetrics. Basically Supermetrics is a data connector. There’s a world of different data connectors out there, but it allows you to pipe, via an API, revenue data from your CRM into a third party database that can then be joined with data from the channel itself. You can build tables within a database and normalize them together in a manner where you can start to determine the relationship between, again, the audience that a particular cohort of opportunities came from and whether a sufficient degree of revenue is derived from those opportunities.
And then you can build upon that what is known as a lead scoring model, which allows you to bid in real time on the audiences that have a higher likelihood to convert to high revenue generating customers. And so the magic there, we talked a little bit about rates of return and instant gratification in the performance marketing world, lead generation inherently is a slow gratification process. And so the problem is that if my pipeline is full of opportunities that yield revenue in two months, six months, sometimes 12 months, how do I determine how heavily to bid on different leads today in order to predictively have an outcome where I’m maximizing revenue? And a lead scoring model basically solves for that.
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Lenny:
And while you’re on the Miro board, I encourage you to play around with the tool. It’s a great shared space to capture ideas, get feedback, and collaborate with your colleagues on anything that you’re working on. For example, with Miro, you can plan out next quarter’s entire product strategy. You can start by brainstorming using sticky notes, reactions, a voting tool, even an estimation app to scope out your team’s sprints. Then your whole distributed team can come together around wire frames, dry ideas with a pen tool, and then put full mocks right into the Miro board. And with one of Miro’s ready-made templates, you can go from discovery and research, to product roadmaps, to customer journey flows, to final mocks, all in Miro. Head on over to miro. com/lenny to leave your suggestions. That’s M-I-R-O.com/lenny.
You talked about attribution, and I thought this would be a great time to get into that. So the way I think about this is oftentimes the biggest challenge in driving growth isn’t the actual work you do to drive growth, it’s measuring what impact your work is having and understanding where dollars are spent effectively. And things are changing heavily in attribution land with privacy shifts and ATT and iOS 14.5.1, or maybe whatever the version was that came out that changed everything. And so my question is, what changed, is one, in terms of being able to do attribution. Maybe even explain what attribution means for folks that are just like, what the hell are you even talking about? And then finally, just what do you recommend people do now to do attribution well in this new environment?
Jonathan Becker: Yeah, it’s a really, really great and pertinent question in the industry, and it has a lot of focus on it now, but attribution has always been a conversation that’s been very important. So just to kick things off, attribution essentially is how we determine the relationship between what we did and what happened. In the context of performance marketing this means what ads did we serve, what campaigns did we launch, and generally what was the revenue ultimately that was derived from these campaigns? And so there’s a funny quote that I love, someone named John Wanamaker in 1919 said, “I know-”
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Lenny: I bet I’m going to guess what it is.
Jonathan Becker: Do you want to guess?
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Lenny: It’s, “Half my marketing dollars are wasted, I just don’t know which half.”
Jonathan Becker: Exactly, I love that you knew that. He said this in 1919. The world was a very different place there, but oddly enough we still have these types of problems today and it’s because the world of what I did and what happened because of what I did is very complicated. There’s so many variables, some of which we know, and then some of which we don’t know that we don’t know, type thing. And so attribution, as it stands in our industry, is still an incredibly subjective art and somewhat of a science. It doesn’t mean that it’s impossible, and it doesn’t mean that there aren’t varying degrees of sophistication as it relates to attribution, but we’re still in a place where we have to understand the business and its goals, and then start to work on an attribution model.
An attribution model is probably something that is never solved, but I’ll give you a couple of examples. So number one around attribution, it’s important to determine whether an organization, a company, a client, is focused on profitability or growth. Whether I use one attribution lens or another will drive those outcomes. And so these days, for a number of different reasons, you mentioned iOS 14.5, in addition to third party cookie deprecation, and whatnot.
There’s no one way necessarily of approaching attribution. The most classic and commonly held version of attribution used to be a cookie-based form of attribution called last click attribution, meaning that the last click in the sequence of clicks that yielded a conversion would be attributed with all the revenue from that conversion. Other models in a cookie-based world involved first touch attribution, so it’s actually the first click. So I launch an ad, it’s in an audience that doesn’t know about my service or my brand, and so the first click that I get should be given all the credit for that sale. And then there’s multi-touch attribution, which can take several different forms, but essentially is saying it’s not one way or the other of the two first versus last click options, it’s somewhere in between. So I’m going to create a weighted attribution model where the first touch gets so much of the credit and the last touch gets so much of the credit.
This is very subjective, as you can see. I am essentially looking at my business model, determining what my goals are, and then I’m backing out into an attribution methodology that I think adheres to both the economics of my business and the capabilities of these platforms. And again, we live in a world where a single brand might do television advertising, they might buy media in magazines, they might buy billboards, they might get impressions from Facebook, they might do paid search, so there’s a big argument over how to ultimately model this.
So there was something called an IDFA that Apple allowed advertisers to use, and essentially what that was, it literally means ID for advertisers, and it allowed Facebook, Google, and other advertisers, Snap, TikTok, whoever was essentially selling ads that were predicated on being displayed on a Apple mobile device or a desktop device, it allowed the advertiser to provide attribution metrics and certain types of customer match metric metrics in their own platforms. And so when Apple ultimately launches its privacy changes, I believe in mid-2021, overnight it allows users to say, “Well, I don’t want to share that information, I’m not going to share my IDFA anymore.” Or, “Yes, I do want to share my IDFA.” And so what you see as a result of that is less of the core data that Facebook in particular would’ve required to make attribution more airtight and ultimately validate its advertising.
So because we can no longer validate attribution on Facebook as seamlessly, we are in a situation where we’re not sure any longer which audiences to target, and we’re not sure how to run all of our creative testing, and ultimately we can’t even determine the degree of revenue that’s coming from particular campaigns that we’ve launched, and whatnot. And so it created quite a stir in the world of attribution, which is obviously this core discussion to is it working or not? People want to answer John Wanamaker’s question, but the modern methodology now is through a number of different approaches to validation.
So the cookie based attribution, which had been probably the most popular version of attribution in the 2010s, really up to this point, is now one of the ways that we would look at this, but we would also include things like various forms of statistical modeling, customer surveys, population surveys, there’s a number of different ways to the same place here. Statistical modeling, by the way, one thing that’s very popular these days, which I think was originally created in the 1950s, is a form of statistical modeling called media mix modeling. It’s essentially regression analysis, and it is trying to determine the causal relationship between, again, what you did and what the effect was on revenue. That’s very topical in the industry these days. If you’re looking for a tool off the shelf that can help with this, Recast is something that I see people using. But a lot of organizations build these highly customized bespoke models that ultimately feed the algorithm inside of an MMM model in a customized manner.
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Lenny: What is it, or is there a recommendation of just like, hey, if you’re trying to do attribution today, here’s what you should do. Is there a clear, do this, piece of advice, or is it super personalized depending on what you’re trying to do?
Jonathan Becker: The advice is that there’s no single source of truth. Anyone who claims that they are a single source of truth, whether it’s an individual, a model that they’ve created, or a tool that they’ve created, is not being accurate. I believe that the approach that works to attribution is that it’s an ongoing investigation and it never stops, and essentially what you’re doing is looking for evidence that validates the outcome of your performance marketing campaigns one way or the other.
There have been plenty of incredibly sophisticated attribution models that we’ve helped build and invalidated with MMM or other types of tools that have indicated that the campaigns do not work. So I will repeat that, we, a very sophisticated organization, have stood up campaigns that we measure and ultimately determine do not work, and that is an important finding in terms of an organization’s determination of whether they want to continually invest, take budget out of these channels, or invest into other areas.
Lenny: Awesome. You mentioned a company called Recast. I don’t think you knew this, but I’m actually an investor, and so obviously a big fan, so check it out. I don’t know what the site is, recast.com maybe. I think if you Google Recast attribution, we’ll also have a link in the show notes.
Jonathan Becker: Cool. Yeah, they’re working with a couple of our clients right now and it’s interesting, I like their approach.
Lenny: Yeah, they’re basically, they’re building the model as a SaaS tool to do attribution in a really clever way. Amazing. Okay, just a couple more questions, one is around AI, one is around agencies, and just how to start down this road. How has AI in any way impacted the work you’re doing today, or the work of paid growth, performance marketing, and then where do you think this will go in the next few years?
Jonathan Becker: Interestingly, and I think I alluded to this earlier, but our industry has been influenced by AI for over a decade. So Google, Facebook, even Microsoft, these are some of the organizations that historically have been at the bleeding edge of artificial intelligence, and their goal was always to automate as much as possible within these platforms. And so the effect ultimately that we’ve seen from a human capital point of view is displacement. So we’re actually, we have more people now than we’ve ever had, but the nature of the work that they do is more strategic, it’s more about modeling, validation, asking the right questions, being focused around creative levers, like some of the things that we’ve talked about, and less so the trench work of implementation and bid modifiers at the keyword level on Google search, and some of the really hardcore manual analysis we had to do.
So I think if we are the canary in the coal mine for other industries, what will be interesting is I assume that if you work in an architecture office that you’ll be doing less of the drafting, and it’s already been a change that’s occurred in those offices, but you’ll be doing less of the drafting and more of this strategic problem solving around what kind of building is necessary for the client in this scenario, type thing.
And so on a practical level, though, some of these conversational AI models are very interesting for us in that when I think about creative testing, for instance, we can have ChatGPT come up with all kinds of variants of copy that we would not have necessarily thought of. It can do a lot of drafting of things like RFP responses, so we can feed ChatGPT 100 previous RFP responses that we’ve done and have it spit out net new responses to net new questions in a net new RFP, and it’s like 80% good and still requires 10 hours of work to massage to the point where we can send it off to a client, but that replaces a week of work with five or six people that it would’ve previously taken.
Lenny: And that’s already happening today, you’re saying?
Jonathan Becker: That’s happening now, literally right now, type thing, all of what I just said. And there’s a lot of different ways that we are beginning to use AI to do more with less, basically. So that’s how I see it influencing not just our industry, but other people’s businesses as well.
Lenny: That’s amazing. So just to repeat what you said, your team now, because of ChatGPT is able to spend more time higher level, and leverage specifically ChatGPT to do this kind of, and RFPs are basically proposals, people are asking you to pitch to work with them, is that?
Jonathan Becker: Yeah.
Lenny: Okay, yeah.
Jonathan Becker: Some of these AI-driven organizations that allow you to type in a prompt and it spits out an image, on our creative group we can come up with mockups in literally 1% of the time that it took. So you no longer have to draw the initial mockups for art. Suddenly what might have taken one person a week of work on a campaign takes an afternoon, type thing. You still have to understand what questions to ask of the AI and be capable of iterating, but these rough drafts that you might show the artwork of to a client to say, “Do we like this more or do we like this more?” That’s AI generated. It’s really interesting.
Lenny: What’s the tool your team uses for that, is it MidJourney or Dall-E or something else?
Jonathan Becker: It’s Dall-E and it’s MidJourney, so you got it.
Lenny: Got it. And so what you use it for is you’re thinking about a concept and you just come up with a mock, coming up with a prompt to pitch what this could be.
Jonathan Becker: Yeah, the interesting thing there is that these concepts often live inside of someone’s head, and we do this thing as humans where we verbally discuss it, and I try and put the image in my mind’s eye, in your mind’s eye, which is an inherently inefficient process and actually hurts our ability to be creative leaders. Someone might just see it slightly differently than you do. Now that person theoretically can use Dall-E to output what is inside their head, and they can refine that easily through subsequent prompts in Dall-E or MidJourney, or whatever it may be, and then just say, “Do you like this? This is my idea.” And so in a way it’s helped humans connect more easily in that context than we were capable of doing before, and then in the context of pitching a client on ideas, we are capable of generating more ideas faster and iterating upon them live. So I can have a Zoom call with you, I can present my screen, and if you don’t like the output of Dall-E that I just prompted, I can re-prompt based on your feedback in real time.
Lenny: There’s this sentiment that AIs going to take away the fun stuff of jobs, like maybe being creative and coming up with a new concept and photography, setting up a whole photo shoot, whatever.
Jonathan Becker: Yeah.
Lenny: Do you find that your team is excited about uploading this to Dall-E, or are they just like, goddammit, this is what I loved, and now I’m just sitting around in docs writing prompts.
Jonathan Becker: I am not an incredible artist, but now I can take those thoughts in my mind and output them just as well as someone who’s pretty skilled in artwork. So in a sense, I’m excited because this technology democratizes the ability to do this across everyone. Anyone who can think a thought can generate an image on an AI image generator. How many scribes do you know?
Lenny: Zero, I believe zero.
Jonathan Becker: Because we invented something called the printing press, and the printing press took over what was a cottage industry for very specific individuals that allowed them to control the flow of information. Yet today it’s not like we have fewer writers or creative thinkers, they’re just using different tools to arrive at the same place. You could say the same thing of the loom. There used to be people who would stitch your T-shirt together, or your sweater together, and none of those people have work anymore. There’s still people who knit, I suppose. But your clothes are made in factories with machines, and the quality of the clothing is arguably a lot better than it was, maybe I’m wrong about that point, but you can make more of it and more sophisticated clothing.
There’s no question that AI is going to displace and replace certain industries of people, certain roles. I’m not going to pretend like I know whether that’s a good or bad thing, and I’m also not a poster child for AI, I am really just using the technology that’s available to us to run our business the best way we can. We haven’t let anybody go yet because of these efficiencies. The people who used to do the artwork are the ones using these tools, and I think they’re excited that they’re more productive. Is there going to be nuance around that? Of course. Are some people going to be sad about the changes? Yes. I think human nature is that people generally don’t like change, but I think over time we’ve seen change has been a productive and positive thing for society, not a negative thing.
Lenny: Awesome. Yeah, so it sounds like the team is excited, generally, and that’s a good sign, and that’s what I find generally. I think some people will be really upset, but most people will be like, amazing, and they never wanted to do this part.
Jonathan Becker: This generation of people will be upset, and then there will be a subsequent generation that never knew anything different. So the way that I think about this is the people growing up these days have always had the internet, whereas you and I probably remember a time before the internet existed. AI-
You and I probably remember a time before the internet existed. AI is a platform like the internet and just as when the internet was launched, you couldn’t conceive of amazon.com or all of these wonderful or social networks or whatever it was. The permutations of what AI will become, even in the current GPT 4 context or Dolly context or whatever it may be. We don’t know what people are going to create with this and so it’s difficult for the generation that knew what life was like beforehand, before iPhone, before internet, before AI, but there will be people who know nothing but this eventually, and to them it’ll just be normal.
Lenny: Until we’re all just replaced by AI and then it’s AI writing ads to get other AI tools to buy products from each other.
Jonathan Becker: Yeah.
Lenny: And then we’re just sitting around watching Netflix and that’ll be great. There’s always this question when you’re starting to invest in paid growth, performance marketing of should we work at an agency? Should we work? Should we hire someone junior to figure it out? Should we hire someone senior?
Jonathan Becker: Yeah.
Lenny: What’s your general advice for, say, an early stage startup when it makes sense to work with an agency versus bringing someone in-house?
Jonathan Becker: Mm-hmm. We need people in-house to do our jobs properly. Agencies are not mutually exclusive to personnel in-house. If we don’t have a point of contact, for instance, at an earlier stage company and we’re supposed to report to the CEO, CEOs tend to be very busy people and we often just can’t get the information and approvals that we need to be successful. If you think that growth marketing is an opportunity and that performance marketing is a subset of growth marketing that you want some focus on, the reality is you’re going to need expertise and you probably should start in-house and then hire an agency.
Again, there’s different stages of companies and different examples of what makes sense at different stages and the nature of the work that we do at different stages changes. Very, very late stage, we’re kind of doing a lot of this sophisticated production work. We’re implementing sophisticated testing, we’re working on attribution, we’re building beautiful reporting, but in a sense, we’re maintaining this machine that already exists. Earlier stage, we’re doing a lot more of net new experimentation, trying to discover what is working and what sequence of audience targeting versus creative asset display will work, what channel mix works, and all of that. A lot of times the body of work that’s required to nail that and the inputs to literally out front what questions to be asking isn’t something that a small in-house team possesses and so they will work with an agency to scale faster, to get where they’re going quicker, to bring in more resources quickly, basically. Then later stage, sometimes it’s a permutation of the same thing or we’re really just managing a whole bunch of different capabilities that they have because it’s very complicated and difficult to staff.
Lenny: That is really interesting. So it’s not like agency versus in-house full-time person. It’s you need both is what you’re finding.
Jonathan Becker: I don’t think we have any projects that we’re working on where there’s not a professional marketing person as our POC and generally the people that we report to have a background in what we do, whether they ended up doing something different and now they’re a VP or a director level and not directly managing channels themselves is one thing or another. But yeah, we work with people that have in-house expertise all day long.
Lenny: I see. Sometimes it could just be a generalist marketing person that becomes your point of contact.
Jonathan Becker: Yeah.
Lenny: They don’t have to be experienced in paper.
Jonathan Becker: There’s one more thing. As agencies, we’re constantly solving people’s problems in the market and as a result of that, I have a fairly large team of 130 people that think about performance marketing all day long. It’s the first thing we think about when we have our morning coffee and it’s the last thing we think about as we’re leaving the office kind of thing. We have very sophisticated and built out capabilities as well as all kinds of software and processes and capabilities, I guess, that we’ve created that most in-house teams just don’t have because they’re smaller or newer or someone might be really sophisticated but they don’t have the resources to implement it and stuff. In the same way that a really sophisticated organization might go to Boston Consulting Group or McKenzie to say, “Hey, we did this, but you do more of this all day long and we need advice on how to be more efficient,” people come to Thrive saying, “Hey, we’re top of our game. We have really strong people. They absolutely know what they’re doing,” which is always the case by the way, “But we’re looking for extra sophistication and additional capabilities that are very difficult to create in an in-house organization.” It’s why we worked with Uber for 10 years. It was tough to replace us.
Lenny: Yeah, that’s quite the retention. 10 years, 10 years going, I imagine our net dollar retention has gone up too.
Jonathan Becker: Yeah.
Lenny: When you’re looking to hire someone full-time to drive the paid growth channel and/or work with an agency, what do you recommend people look for specifically, especially things maybe they’re not likely to think about when they’re hiring someone that people often miss?
Jonathan Becker: There’s a couple of competencies that I think are very important. I found that, so I was a nerd as a child, if you can’t tell, I don’t know.
Lenny: Nope.
Jonathan Becker: Super nerdy, geeky kid. I would take apart-
Lenny: [inaudible 01:17:38].
Jonathan Becker: I would take apart my parents’ computers, I’d try and rebuild them. I was fooling around with bulletin boards before websites existed, stuff like that. Then I became a web developer and as I transitioned into a performance marketing role, I realized that being technical and having technical aptitudes was extraordinarily helpful in terms of being on the front line of what we were doing and solving problems. If you’re making your first hire, you probably want them to have the ingenuity and capability to solve a lot of the problems that you’re going to run into within the context of tracking, attribution, data visualization, and then campaign management. Number one, do they have a technical background? That can be multidisciplinary.
At Thrive, we have someone who is a nuclear physicist that left discipline and became a performance marketer. We have people who have left mathematics and become performance marketers, people who left finance, full stack engineering, all kinds of stuff. Those are technical fields where people tend to be good at math and good at problem solving, and so that’s a strong piece of evidence that they might have a strong aptitude for performance marketing and managing this.
Another thing is just literally do they have experience in this discipline? Have they managed on any level Meta ads, Google ads, TikTok, Amazon, some of the things we talked about? Do they have an appreciation for some of the inputs that we just discussed today that ultimately create the conditions for success within a performance marketing environment? Do they understand the role of creative? Do they understand the role of proper attribution and are they capable of understanding the mechanics of your business and so on and so forth?
I would say just fundamentally, those are some of the areas that when we are interviewing we’re looking for. As an agency too, we are looking for the ability to work with people and be excellent at client services. One of the questions we might ask, I actually borrowed a Jeff Bezos question from early stage Amazon where I asked people without much warning in an interview, I’ll ask them whether it’s okay to do a bit of a thought experiment together and whether they are comfortable responding to a logic question. I’ll ask the question of, “How many windows are there in New York City?” There’s two things that I look for in this scenario. One is can they think on their feet? I’m not actually looking for the correct answer. It’s a pretty difficult question to solve. But number one, do you realize that windows are not just building windows and windows are also in cars and trucks and stuff like that, so there’s more than one type of window. Then can you just do the arithmetic of saying there’s so many buildings per hectare or square mile or whatever it is and it’s division multiplication type stuff.
But also from a client services point of view, I’m trying to see whether in a scenario where I’ve asked them something that they obviously probably weren’t prepared for, that is a strange thing to ask and probably makes them feel a little bit uncomfortable, how they react in that situation. Do they remain composed or do they lose their composure and get frustrated or even angry that I asked them something that’s pretty weird to ask? Their reaction there is often a good leading indicator of whether or not in a client scenario working with our clients, they can compose themselves in a difficult situation.
Lenny: Very tactically, what level of experience do you recommend people look for in their first performance marketing hire year or two, four or five years, longer?
Jonathan Becker: I’ve seen people who have 10 years of experience in the industry not be that great and then I’ve seen people who have one year of experience be absolutely phenomenal. I would say that again, the years of service under their belt is one clue or piece of evidence to their potential aptitude. But really, you want someone who can clearly demonstrate to you that they can competently run the channels I suppose. If what you’re asking is literally at the level where someone is managing pay per click and programmatic media buying, then you want to make sure that they can just do that and I would say it’s less about the years of experience. A lot of times people only want to do those types of jobs for a couple years before they’re like, “Hey, what’s your plan for me? I’m tired of running ads and building campaigns. I want to manage the people who do that now.” The people who tend to really do that are often somewhat earlier on in their careers. That’s just a reality that we see.
Lenny: One more very technical question. What do you recommend the title for this role be? Growth marketer, something else?
Jonathan Becker: I’ve seen so many different names for this. I think again, if the intention is to grow out a growth marketing capability, which again is not exclusive to performance marketing, then you’re looking for a manager role of growth marketing manager. I’ve seen paid acquisition specialist for people who just manage channels. I’ve seen paid acquisition manager, performance marketing manager, media planner and buyer. I’ve seen all kinds of different roles. But when we are launching a new role these days, there’s such wonderful tools like everything from Glassdoor to LinkedIn to PayScale where you can essentially just look at what other people are calling it and borrow from their role descriptions and then create your own role description and then determine what role is meaningful in the context of your own organization.
Lenny: Awesome. Last question. We started with the story of how you landed Uber, and I know you also have an interesting story which I haven’t heard of how you landed Snap/Snapchat as a client, so maybe tell that story.
Jonathan Becker: It’s a fun story and I think it’s about ultimately confidence and knowing your craft. I believe it was like 2015 or 2016, we were essentially contacted to participate in an RFP down in Los Angeles. RFPs are difficult processes and essentially a department of a company is saying, “We want performance marketing and here are all the questions that we’re going to ask you and exercises you need to complete in order to vet you as to whether you are the right partner or not.” Sometimes RFPs are incredibly thoughtful and they’re run by people who have either done a lot of RFPs in the context of what we do or they know specifically what the outcome is. Then in other cases, they’re very experienced marketing departments with senior people and an approach that they may take is every stakeholder within that department gets to submit one or two questions to a long list of questions and the respondents have to respond to all of this.
The RFP process for Snap was somewhat complex and they asked a range of different questions and we find ourselves in LA at a hotel the night before, it’s 2:00 in the morning, my business partner and another team member that we had brought down are sweating and we’re like, “How are we going to build a presentation out of this? They’re asking so many well-meaning but difficult questions that are zigging and zagging.” In a pitch situation you want to tell a story, it’s important, and that story has to have a beginning, middle, and end. It was just difficult and yet here we were and we had worked with all these really cool organizations and I was very confident that we knew precisely what we were doing. I kind of had this eureka moment where I was like, “Here’s what we’re going to do.” It was Brent MacArthur, my business partner and I kind of arrived at this together, but we’re kind of like, “Here’s what we’re going to do. We’re going to have a completely unique take on how to respond to this and we’re going to build a deck that’s bespoke around X, Y, and Z.”
We work till 6:00 in the morning, I think we get a couple hours of sleep and then by 10:00, we’re sitting in their offices. Essentially the pitch is something like this. I stand there in front of about 20 different executives from their organization and I say, “You have thoughtfully curated an RFP for us to respond to today, and you have asked us to respond to about 20 to 30 different questions. With the utmost respect, I am not going to answer any of your questions today. I’m standing here because you are looking for a marketing partner and you need expertise in this area and instead of telling you the answers to the questions that you asked, I’m going to tell you what I think you need to do to get where you want to go and if you agree with me and my logic and what I talk to you about here today, then you should hire us. If you do not agree with my logic and you think that we’re out to lunch, then you should not hire us.”
You could hear a pin drop in the room. My own team I think was a little bit surprised. We had a whole bunch of technical difficulties that day. Someone who was supposed to Zoom in couldn’t make it and so I have to ad lib part of the pitch that I wasn’t prepared for, lots of zig and zags. They thank us for RFP response, lots of handshakes and smiling faces, but we don’t know whether we’re going to land the client or not.
Then about two hours later, I was driving to San Francisco with a friend, immediately leave LA for SF because I had a bunch of follow on meetings, and I get a phone call and they were like, “We loved your approach. Congratulations. You’re hired.”
These days I think Snap is still a really interesting organization, but at the time they were kind of bringing the future of a social platform or what a social platform could be in the same way that we think about TikTok right now. TikTok wasn’t on the scene yet and Facebook was very worried about Snap and there was tons of engagement on Snap, so this was the it client of the day and it felt amazing.
Essentially the lesson was that you have to trust yourself and understand your strengths and weaknesses. In situations where someone is well-meaning but may not understand what they need, be brave and tell them what they need rather than just conforming to what they’re asking for because sometimes inadvertently that leads you down the wrong path. We took a big risk and it had a wonderful payoff and we have, in addition to this story, we had a wonderful relationship with them for a couple years.
Lenny: I love that story. I love how dramatic all your new customers, your way of acquiring customers and I imagine not all of them are this dramatic.
Jonathan Becker: Not all of them are this dramatic, but there have been some pretty dramatic ones. I think part of running a business and running an agency has been the curation and experience around all these fun, crazy stories that have accumulated as we run this really interesting services business.
Lenny: Awesome. Well, with that, we’ve reached our very exciting lightning round. I’ve got six questions for you. Are you ready for the lightning round?
Jonathan Becker: I’m ready. Let’s do it.
Lenny: Okay, great Looking, very excited. Okay, first question, what are two or three books that you’ve recommended most to other people?
Jonathan Becker: As a marketer, Storyworthy by Matthew Dicks is a wonderful book. He is a world world-class storyteller. I don’t know if you know him. He wrote this book about how to structure and think about the art of storytelling and every marketer should read Storyworthy. It was a huge contributor to how I think about what we do at Thrive. As an entrepreneur, I love startup stories, so Shoe Dog, which is the startup story of Nike. It’s basically Phil Knight talking about all the ups and downs, and it’s crazy. Nike shouldn’t be a company based on all the turmoil and challenges that they overcame. Fascinating read about taking risk and doing what you think is right and ultimately succeeding and building Nike. Then a book by Nick Bilton called American Kingpin, which is the story of the startup of the Silk Road, which was like this dark web marketplace for some pretty bad stuff. But it is half tech story, startup story and half gangster kind of kingpin story. It honestly should be a Hollywood movie. It reads like a Hollywood thriller. So awesome, great book.
Lenny: Favorite recent movie or a TV show.
Jonathan Becker: I don’t know how recent it is, but I love The Big Short, just love it.
Lenny: Not recent at all, but it’s still great.
Jonathan Becker: It’s still great. The reason why I like it is because someone found truth in the data they were analyzing and then capitalized on it, which is really an analog for what we do in performance marketing. Then recently I have fallen in love with White Lotus for no particular reason. It’s just raw entertainment.
Lenny: What’s something you’ve changed in the way that you all operate that’s been relatively minor in terms of how hard it was to change, but that had a tremendous impact on your ability to execute as a team or a company?
Jonathan Becker: The tools that we use in performance marketing change constantly. The channels themselves change and therefore what problems exist and what SaaS companies or different types of platforms offer as solutions to problems change. I don’t think it’s one thing necessarily, this might be a bit of a roundabout answer here, but I mentioned that change itself earlier is something that humans seem to not love, whereas in our industry, and I don’t think we’re alone here, but there’s a culture of change. A welcoming of change, aptitude around change, having a playful mindset with new technology and tools rather than being upset about the fact that AI exists or third party cookies are being deprecated or iOS 14 removed IDFA and trying to be creative around those types of solutions has been like a constant for us. I’m kind of sidestepping the question a little bit, but it is the cultural willingness to adapt that I think has been a strong suit for us as a company.
Lenny: Speaking of tools, final question. What is your favorite most underrated tool for performance marketing work?
Jonathan Becker: It’s Thrive Stack. It’s a tool that we built in-house that allows us to pipe third party data and anonymized customer level data into a database and then ultimately visualize it in a format like Data Studio, Google Data Studio, which I think now is called Looker Studio. That has been a profoundly powerful platform from which we’re capable of delivering insights that are built upon the data as opposed to just regurgitated data, if that makes sense. We have not released this technology yet. It’s basically a tool we use in-house with our clients. But to a certain extent, I mentioned Supermetrics, which is another ETL and has some of the same capabilities but isn’t quite as powerful.
Lenny: Amazing. Jonathan, this is by far the deepest I’ve ever gone into the world of paid growth. I really appreciate you making time and sharing all of your wisdom with us. Two final questions. Where can folks find you online if they want to learn more, reach out, ask some questions maybe, and how can listeners be useful to you?
Jonathan Becker: Thank you for having me again, by the way. This was a lot of fun. I’m available through Thrive, so thrivedigital.com. You can contact us through our site by accessing the contact form. Personally, I’m on LinkedIn under my name Jonathan Becker or Twitter, JZBecker. Then things that would be interesting from the audience, always looking for feedback in terms of whether people agree or disagree with thoughts and feelings that we have about what we do. Obviously always looking for amazing people ultimately to join our team at Thrive. If you’re a practitioner of growth marketing or performance marketing and you’re looking for a top place to spend some time, would love to talk to you. Also, I suppose if you need some help making this stuff work within the context of your own organization, we’d love to be at your service.
Lenny: Awesome. What is the URL again?
Jonathan Becker: Thrivedigital.com.
Lenny: Sweet. You asked for feedback, be careful what you wish for. We get some hilarious C2 comments. We’ll see. We’ll see what comes in on this one.
Jonathan Becker: Sounds good.
Lenny: Jonathan, thank you so much for being here.
Jonathan Becker: Pleasure. Thanks, Lenny. Thanks for having me.
Lenny: Bye, everyone. Thank you so much for listening. If you found this valuable, you can subscribe to the show on Apple Podcasts, Spotify, or your favorite podcast app. Also, please consider giving us a rating or leaving a review as that really helps other listeners find the podcast. You can find all past episodes or learn more about the show at lennyspodcast.com. See you in the next episode.
Glossary
| English | 中文 |
|---|---|
| ad sets | 广告组 |
| affiliate marketing | 联盟营销 |
| American Kingpin | American Kingpin(书名保留原文) |
| Athletic Greens | Athletic Greens(品牌名保留原文) |
| ATT | ATT(应用追踪透明度) |
| attribution | 归因 |
| banner blindness | 广告疲劳(banner blindness) |
| bid modifiers | 出价修饰符 |
| booking.com | booking.com(品牌名保留原文) |
| Boston Consulting Group | Boston Consulting Group(公司名保留原文) |
| Brent MacArthur | Brent MacArthur(人名保留原文) |
| CAC | CAC(客户获取成本) |
| canary in the coal mine | 煤矿里的金丝雀(早期预警信号) |
| click-through rate | 点击率 |
| cookie-based attribution | 基于 Cookie 的归因 |
| cost per acquisition (CPA) | 获客成本(CPA) |
| CPL | CPL(每条线索成本) |
| creatives | 创意(广告素材) |
| Credit Karma | Credit Karma(品牌名保留原文) |
| D2C | D2C(直接面向消费者) |
| Data Studio | Data Studio(产品名保留原文) |
| Ethan | Ethan(人名保留原文) |
| ETL (extract transfer load) | ETL(抽取-转换-加载) |
| first touch attribution | 首次触达归因 |
| Glassdoor | Glassdoor(平台名保留原文) |
| Grammarly | Grammarly(品牌名保留原文) |
| IDFA (ID for Advertisers) | IDFA(广告主标识符) |
| impressions until conversion | 转化前所需曝光量 |
| Jeff Bezos | Jeff Bezos(人名保留原文) |
| John Wanamaker | John Wanamaker(人名保留原文) |
| landing pages | 着陆页 |
| last click attribution | 末次点击归因 |
| lead generation | 线索获取 |
| lead scoring model | 线索评分模型 |
| lifetime value (LTV) | 客户终身价值(LTV) |
| Liz Georgie | Liz Georgie(人名保留原文) |
| long tail keywords / head keywords | 长尾词 / 头部词 |
| Looker Studio | Looker Studio(产品名保留原文) |
| marketing qualified lead | 营销合格线索 |
| Matthew Dicks | Matthew Dicks(人名保留原文) |
| McKenzie | 麦肯锡 |
| media mix modeling (MMM) | 媒体组合建模(MMM) |
| multi-touch attribution | 多触点归因 |
| net dollar retention | 净收入留存率 |
| Nick Bilton | Nick Bilton(人名保留原文) |
| paid growth | 付费增长 |
| paid search | 付费搜索 |
| paid social | 付费社交 |
| PayScale | PayScale(平台名保留原文) |
| performance marketing | 绩效营销 |
| Phil Knight | Phil Knight(人名保留原文) |
| pitch | 提案 |
| playbook | 方法论/打法手册 |
| POC (point of contact) | 对接人(POC) |
| product market fit | 产品市场契合度 |
| programmatic | 程序化广告 |
| Recast | Recast(产品名保留原文) |
| RFP (Request for Proposal) | RFP(提案请求) |
| ROAS | ROAS(广告支出回报率) |
| sales accepted lead | 销售认可线索 |
| Shoe Dog | Shoe Dog(书名保留原文) |
| Silk Road | Silk Road(平台名保留原文) |
| single source of truth | 单一真实来源 |
| Supermetrics | Supermetrics(产品名保留原文) |
| The Big Short | 大空头(The Big Short) |
| third party cookie deprecation | 第三方 Cookie 淘汰 |
| Thrive Digital | Thrive Digital(公司名保留原文) |
| Thrive Stack | Thrive Stack(产品名保留原文) |
| top of funnel / bottom of funnel | 漏斗顶部 / 漏斗底部 |
| user generated assets / UGC | 用户生成素材 |
| White Lotus | White Lotus(剧名保留原文) |
Reformatted by reformat_english.py
拿下 Uber 作为客户的疯狂故事 | Jonathan Becker(Thrive Digital)
文字记录
AI 对绩效营销团队的影响
Jonathan Becker: 我们正在通过各种不同方式开始利用 AI,基本上就是以更少的资源做更多的事情。从人力资本的角度来看,最终看到的效果是岗位的替代。我们现在的人比以往任何时候都多,但他们所做工作的性质更加偏向战略层面——更多是关于建模、验证、提出正确的问题、聚焦创意杠杆。而像在 Google 搜索的关键词层级上调整出价修饰符(bid modifiers)这种实施层面的苦活,以及我们过去不得不做的那种真正硬核的手动分析,则越来越少了。
在我们的创意团队中,我们现在可以在原本所需时间的 1% 内就出方案草稿。你仍然需要理解该向 AI 提出什么问题,并具备迭代能力,但那些你可能会展示给客户看的效果图——“我们更喜欢这个还是那个?“——这些已经是 AI 生成的了。非常有意思。
Lenny: 欢迎来到 Lenny’s Podcast,在这里我采访世界级的产品负责人和增长专家,从他们来之不易的经验中学习如何打造和增长当今最成功的产品。今天的嘉宾是 Jonathan Becker。Jonathan 是绩效营销(performance marketing)领域的传奇人物和元老级人物。在这个播客中,我们深入探讨过增长的诸多方面,包括 SEO、销售、转化优化、留存、产品驱动增长、产品驱动销售。但这期是我们第一次在付费增长(paid growth)这个话题上做深度挖掘。过去十多年里,Jonathan 和他的团队已经为 Uber、Asana、Square、Masterclass、Tempur-Pedic 等众多公司规划、搭建并执行了超过 35 亿美元的付费获客预算。他们将自己的代理公司 Thrive Digital 打造成了最杰出的独立数字营销代理公司之一。在这次对话中,我们深入探讨了付费增长的方方面面,包括近期隐私政策变化带来了什么改变,为什么聚焦创意是付费增长中新的最大机会,如何思考归因(attribution)以及归因领域的变化,在招聘负责付费增长的人时应看重什么,AI 已经在如何改变付费增长团队的运作方式,以及更多内容。敬请欣赏这期与 Jonathan Becker 的对话。
走进绩效营销
Lenny: Jonathan,欢迎来到播客。
Jonathan Becker: 谢谢,很高兴来到这里。
Lenny: 这是我的荣幸。这期节目我们要做的,就是深入挖掘付费增长的方方面面,这在我们播客上还是第一次。通常我会跳过这部分,但我觉得让你花一点时间介绍一下你在绩效营销——也叫付费增长、付费广告——领域的背景,其实会很有帮助。你来告诉我们这个领域最准确的叫法是什么。不过,就聊聊过去大约十五年里你在这个领域都做了些什么吧。
从网页开发者到绩效营销
Jonathan Becker: 当然,这是一个很好的开场。再次感谢你邀请我来。回想起来,我在这个领域的经验大约可以追溯到十五年前。我最开始是一名网页开发者。在我为人们搭建和构建网站的过程中,我变得相当痴迷于一件事:你可以搭建着陆页或主页,或者任何什么页面——基本上就是网站上的内容——并以一种有机会在自然搜索结果中更突出地展示的方式来构建它们。随着我成为一名 SEO 的实践者——SEO 真的是我在营销领域的初恋——我开始受到关注,人们想雇我做自由职业者。而我注意到的是,当人们开始问我诸如”我们 SEO 活动的 ROI 是多少?“或者”我该怎么扩大规模?“之类的问题时,这些问题的答案与当时付费获客领域最大的驱动力——付费搜索(paid search)——更加契合。
于是我开始了付费搜索的尝试。我发现它是一种切实可行的形式和杠杆,基本上能够给人们带来他们原本期望从 SEO 中获得的那种结果,但由于 Google 的分析算法从自然搜索的角度来说有些难以捉摸,这些结果在 SEO 中被模糊化了。而且 Google 也在逐步移除早期让你更容易猜测和测试的许多数据。十多年后,这个最初在旧公寓的步入式衣橱里运营的自由职业咨询项目,发展成了 130 人的团队。我们每年管理约 5 亿美元的广告支出,服务从小型到大型各种公司,包括 Uber、Asana、Tempur-Pedic。我们还合作过 Lululemon。都是非常令人兴奋的公司,主要来自美国,尽管我们碰巧位于加拿大温哥华。
Lenny: 你提到的这些线索里,有不少我会在接下来的对话中逐一展开。不过你提到了 Uber,你跟我说过拿下 Uber 作为客户有一个非常疯狂的故事,能分享一下吗?
在出租车上偶遇 Uber 创始人
Jonathan Becker: 我经营 Thrive 已经几年了,当时它是加拿大一家非常出色的区域性代理商,服务的都是很棒的本地客户。2013 年,我受邀去参加在加州长滩举办的 TED 大会。我的朋友 Andrew Wilkinson 邀请我当晚一起参加一个晚宴。那时我在 TED 社区里一个人都不认识。我们吃完晚饭,按照会议的惯例,接下来还有 after party。于是我跳上一辆出租车,其他人各自开车或以其他方式赶过去。我们正跟司机说”我们要去这个地方,能载我们过去吗?“的时候,有人敲了敲车窗,外面的人说:“嘿,我好像也是去同一个地方,介意我和你们拼个车吗?”
我们当然说没问题。我转向他,说:“我是 Jonathan,我在温哥华经营一家十人的代理商。“他说:“嘿,我是 Garrett Camp,我创办了一家公司叫 Uber。“讽刺的是,我居然是在一辆出租车里遇到了 Uber 的创始人——而这家公司当时正在颠覆全球整个出租车行业。接下来发生的事情基本上永远改变了我的职业轨迹。我们到了那个派对现场。当时我正在薅 Uber 的推荐计划的羊毛。说来话长,但基本上我是利用付费搜索去占他们的品牌关键词。当人们用我那个与 Uber 自然搜索结果高度相似的文案片段注册时,我本质上是在截流推荐奖励。每次有人注册,我就能拿到 20 美元。
我靠这个赚了几万美元。快进到派对上,我在吧台旁边打酒,Garrett 就在旁边。我心里在想,要不要跟他说这件事?也许我能把他们发展成客户。这会很有意思。于是我就跟他说了:“嘿,我在做这件事。我基本上没创造任何价值,但你营销系统里存在一个漏洞,应该有人把它堵上。“他的反应基本是:“我需要向董事会汇报这件事,但这是我的名片,把你做的事写下来发给我,我们会联系你的。“后来他手下的一批人来联系了我。如果你读过《Super Pumped》这本书的话,当时跟我们打交道的所有人都在书里出现了。
Lenny: 我看过那个剧。
Jonathan Becker: 对,没错。他们说:“嘿,这很不好,你必须停止这样做。但我们能不能雇你来解决这个问题?“于是,我原本只是在为温哥华的本地酒吧、服装店或其他什么店铺做项目,结果变成了拿下早期阶段的 Uber 作为客户,真正让我们从合格的专业人士跃升为我们这个领域的领军者。这是一个非常精彩的项目,我们与 Uber 合作了十年。
Lenny (00:10:32): 这个故事太不可思议了。我很喜欢你当时玩的那个套利游戏,本质上就是把风投的钱从 Uber 身上抽出来。我想这里的一个教训就是,有时候就是这种有趣的组合——一方面是靠拼劲去赚点钱,另一方面是抓住你恰好被推到的那个机会。
创造自己的运气
Jonathan Becker: 是的。我觉得人们经常谈论成功的创业者,评论说他们运气好。但回顾那种情况,我实际上认为你必须自己创造运气。我当时完全可以想,哦,挺酷的,我在出租车后座遇到了这个人,然后就没了下文。但我决定冒一次险——可能会尴尬,可能什么都不会发生,也可能他们会关掉我正在玩的那个推荐漏洞。我基本上没什么可失去的。但很多人在生活中就是不去做这些举动,因为他们紧张,或者太担心可能的负面后果。所以我当时的想法就是,我要放手一试。你会把自己置于各种情境之中,每个人都会遇到运气,但你必须抓住它。这就是一个愿意冒险并且最终获得巨大回报的例子。
Lenny: 而且,能去 TED 大会本身看起来就是个不错的举动。人脉经营得到了回报。他当时在出租车里这个事实太搞笑了,我本来就想问你这件事。显然他事先做了一些研究。
Jonathan Becker: 是的。
绩效营销的术语与定义
Lenny: 让我们开始深入聊聊付费增长的世界。说到付费增长……其实我想先问你一下,你怎么称呼这个领域?付费增长、绩效营销、付费广告?
Jonathan Becker: 有很多可以互换使用的术语。绩效营销(performance marketing)是一个常见的说法。付费获客(paid acquisition)也是一个常见说法。有些人把这两者等同于增长营销(growth marketing),但在我看来增长营销是一个更大的实践领域,付费获客只是其中的一个子集。当然还有更细的分支,比如社交广告(social ads)、付费搜索(paid search)、程序化广告(programmatic)。所以有很多不同的方式在说同一件事。
Lenny: 我打算用绩效营销这个说法。我喜欢这个术语,因为它确切地描述了这件事的本质——就是一种你可以衡量效果的营销方式。看看我们聊下去的效果如何。作为一个渠道,它是一个非常有趣的混合体。一方面,它是一个令人难以置信的增长杠杆,基本上让任何公司都能花钱、理解 ROI 并获取用户。这在以前是从未有过的。本质上是 Facebook 和 Google 创造了这些平台。另一方面,人们又有一种感觉,觉得它像是一种毒品——你一旦开始就上瘾了,再也停不下来。有很多建议说,远离付费增长,这不是一种健康的增长方式,尤其是对初创公司而言。所以我的问题是,你怎么看待它的这一面?更具体地说,你觉得哪些产品适合把绩效营销作为渠道,哪些不适合?
绩效营销是”毒品”吗?投资组合思维
Jonathan Becker: 这是一个非常好的问题。我觉得有几件不同的事情需要拆开来讲。付费获客或者说绩效营销——
Lenny: 绩效营销。
Jonathan Becker: ——可以被视为一种毒品,我想,当你的企业完全依赖它来驱动收入的时候。我在这里尝试使用的类比是:如果我替你打理你的全部积蓄,然后我告诉你把所有钱都投入股市中的某一只股票,那将是非常危险的。股票可能会有波动。你的净资产会在短期和长期内出现相当大幅度的波动,而且这种波动取决于很多你无法控制的因素——比如外部市场环境,或者你所投资的那家公司自身的经营表现。当我审视整个营销组合——邮件、直邮、传统电视广告、绩效营销等等——我把这看作是投入资本并期望获得回报。就像我不会把你全部的积蓄拿去押在单一一只股票上一样,我也不建议把你所有的钱投入单一的绩效营销渠道,然后让你在一定程度上暴露在 CPC 波动或市场环境变化的风险之下。我同意你说的,如果你的鸡蛋全放在一个篮子里,而这个篮子在表现上带你坐了一趟极其剧烈的过山车,那它确实是一种毒品。但当我想到 Thrive 每年管理着 5 亿美元的广告支出时,我在某种程度上把自己看作一个基金经理——我们在管理客户的资金,期望获得回报。策略的一部分就是跨渠道多元化。这样我们就能降低任何一个项目对单一渠道及其表现的依赖。
Jonathan Becker: 类似地,我常常跟人说,绩效营销的第一条规则就是不要忘记线下营销以及那些对组织行之有效的经典营销手段。换句话说,直邮真的有效,邮件营销效果很好,SEO 也确实管用。你手边有所有这些出色的工具可以调配。我见过的真正一败涂地的案例是这样的——不是那些昙花一现的品牌,而是那些发现了某种捷径的品牌……就像我当年找到了 Uber 推荐系统里一个奇怪的关联,可以从里面白赚钱一样。有时候人们会找到捷径,或者说是”黑客手法”,借助 Facebook 广告平台的某个特定细节之类的东西来实现快速起量。而他们没有看到的是,这些漏洞是来来去去的。
如果他们大规模扩张,而整个业务都建立在他们发现的这一个漏洞的表现之上,或者把所有东西都押在单一渠道上,然后环境条件一变,他们就不会好过,业务会遭受重创。所以当我思考这个问题时,答案是一个负责任的渠道组合、多元化,以及理解你不能过度依赖绩效营销来决定企业的成败。
什么样的公司适合绩效营销
Lenny: 那这个问题的后半部分呢——当公司来找你们的时候,你会看什么来判断这是一家非常适合绩效营销的、有很大增长空间的公司,还是说可能只占一小部分,不会取得巨大成功的公司?
Jonathan Becker: 我会说,这个问题的答案在公司生命周期的不同阶段是不同的。早期阶段,看这家公司在做什么,看你自己的公司。你是否已经确立了产品市场契合度?这还是一个未经检验的想法,而他们是否完全指望绩效营销来推动一切?是否存在过度依赖绩效营销的风险?到了后期阶段,我们会看他们可能具备或不具备的一些标准。通常来说,这会归结到资源配置上。
后期阶段的问题不是”它管不管用”,而是”它能在多大规模上管用”。所以我们会看这样一些事情:他们是否有充足的创意资源和内部认同?创意资源是否与绩效挂钩,我们能否围绕测试建立一个反馈循环?这个我稍后再跟你聊。他们是否有专业的营销人员?是否有人具备做我们所做之事的经验,能说我们的”语言”?还是说这其中有一部分是组织教育工作,需要通过利益相关者来建立认同的过程?他们是否有技术资源?如果我们说,“嘿,追踪和归因有问题,这是解决方案”,你们能实施吗?诸如此类。
渠道组合的多元化
对于什么有效、什么类型的公司能在绩效营销渠道上取得成功,并没有一个万能公式。仅作为一个佐证,Google——我想它本周公布的销售业绩是一个下滑的季度——三个月内是 700 亿美元。Facebook 昨晚也刚公布业绩,是 320 亿美元。仅 Google 和 Facebook 两家,三个月就是 1000 亿美元,而这其中大部分收入来自广告。这对很多不同类型的公司都非常有效,问题只在于在什么规模上有效。
Lenny: 让我再顺着这条线多拉一下。我从其他嘉宾那里听到的是,付费广告最适合那些基本上能很快获得回报的产品,基本上就是来驱动支出的飞轮,这样你就不用干等着某人在未来购买什么东西,或者只是一点一点地回收成本。这个因素有多重要?你觉得是不是任何公司都可以做付费增长,不管他们的商业模式是什么?还是说有什么条件是你觉得必须存在,你才会投入大量资源?甚至去组建刚才说到的那种团队。
Jonathan Becker: 当投资和回报能快速周转时,当然是很理想的。这对 D2C 或电商类企业来说非常好,因为它们基本上是拿收入来支撑额外的库存和运营成本。然而,并非所有企业都是这样的运作方式。所以在 B2C 或 B2B 的线索获取场景中,我们必须围绕这些抽象概念进行相当复杂的建模,比如客户终身价值。这很困难,因为我们合作的大多数企业都相对年轻,所以终身价值这个概念其实是用词不当的——他们还不知道那是什么。
回本周期与建模
但我们必须对 LTV 与 CAC 之类的东西进行建模,也就是获客成本与终身价值之间的对比,以及回本发生在哪个时间段内。你最终会达到一个相当复杂的水平,可以构建出像线索评分模型这样的东西,它能以统计上显著的方式,预测性地判断一条线索比另一条更有可能转化为收入。所以,对于较慢的回本周期,也有办法可以应对,这些方法最终仍然相当准确,依据的是你今天在竞价什么,以及那些营销活动通过归因将要产生的滞后收入。
Lenny: 你有没有什么经验法则,可以给正在收节目、试图判断”付费对我们来说是不是一个真正的模式”的人参考?无论是看 LTV 还是 CAC,还是回本周期?或者就是类似”你大概应该具备这样的条件”之类的东西,尤其是早期阶段,让你觉得付费增长会是你手中一个很好的杠杆,甚至可能是主要杠杆。
产品市场契合度是前提
Jonathan Becker: 产品市场契合度。如果你知道你的企业能把东西卖给受众——假设你是一个社交媒体网红,或者你有很强的邮件营销能力,或者你的内容能自然地出现在 Google 搜索结果中;或者你做了大量直邮、线性电视和广告牌投放,而且这些奏效了。如果其他渠道是有效的,那么付费获客也很可能是有效的。大多数公司的问题在于一个错误的假设:通过付费渠道提供的数据,你就能获得对归因的完整端到端理解。这是错的,从来都不是这样的。另一个方面是耐心——要理解每家企业都是独特的,我们所知道的这些重要指标对每家企业来说都是不同的。终身价值,比如复购倾向,ROAS(广告支出回报率),CPA,CAC,所有这些不同的指标对每家企业都不一样。
即使我合作的是同一个城市的两家酒店,它们也会有不同的结果,因为它们的预算、品牌、所处的市场、提供的服务等等都存在差异。我认为除此以外的核心问题是,没有人应该期望绩效营销能一夜之间见效。这是一个非常难管理的渠道,这就是为什么人们会请像我们这样的专家来帮忙,因为它是一个不断变化、问题层出不穷的永无止境的难题。一直都是这样,这不是疫情之后才出现的新情况。要找出什么有效,需要花一些时间。
付费增长是否仍是初创企业的扩张路径
Lenny: 我有一个框架,基本上把增长渠道分为四种——我称之为增长引擎。付费/绩效营销,SEO,病毒式传播,以及销售。基本上,有些公司的增长几乎完全依赖付费渠道。我想到的有 booking.com——我们在 Airbnb 时对它很熟悉——它的增长几乎完全由付费增长驱动。Credit Karma 也算是一个经典的付费绩效营销案例。我一直习惯用”付费增长”这个说法,所以就继续用下去了。TikTok 早期也是非常绩效营销、付费增长导向的。Wish 也是我想到的另一个例子。
我想谈谈这个领域正在发生多大的变化。但在聊这个之前,你觉得现在是否还有机会让初创企业几乎完全通过绩效营销实现规模化?这个问题其实来自 Twitter,有人前几天随机发了这么一条推文。我当时就觉得,这个问题问 Jonathan 太合适了。顺便说一下,她叫 Liz Georgie,是她提的这个问题。
Jonathan Becker: 这么说吧,2010 年代那个时期的每一家独角兽公司,做大规模的时候都做了绩效营销,但那个时期做了绩效营销的并非每一家都做大了。所以我希望消除一种偏差——不能因为所有成功的公司都做了这件事,就认为它对所有人来说都是一个神奇的渠道。我们在那段时间也经手过不少项目,效果完全持平。所以,认为曾经存在一段”这事很容易、对任何项目都有效”的时期的看法,我认为是不正确的。话虽如此,我们仍然看到有公司每月在 Google 和 Meta 等绩效营销渠道上投入数百万美元,尽管这些平台经历了种种起起落落,但它们仍在盈利地运营着。
我觉得有一些非常好的、几乎完全通过付费渠道做大规模的、相对近期的公司案例。Grammarly 就是一个很好的例子。他们擅长解决一个围绕获客成本(CPA)与客户终身价值(LTV)之间关系的问题——客户有多粘性、能从一个客户身上预期多少收入,然后再反推算出我们每点击和每线索能承受多少花费,诸如此类。Athletic Greens 是另一个好例子。Athletic Greens 其实是一家相当老的公司,我觉得他们已经存在十年了。他们有零售分销渠道,也做了很多经典的营销工作来发展渠道组合。但我认为这个品牌的放大效应确实是最近才真正获得动力的——现在人人都知道 Athletic Greens 是什么,这是因为他们在 TikTok 上大量投放广告,在 Facebook 等其他社交渠道上也大量买量,还投资了播客合作。但这些全部都是数字化的付费获客。
所以这对他们已经建立的这个非常有趣的业务产生了极好的效果。答案是肯定的,这仍然可行。我们仍然看到有公司在这样做。我认为绩效营销行业经历了一些清算——涉及隐私问题、Apple 做出的改动、人们对自己数据如何被使用感到不安——这种不安是完全合理的。然后显然还有 2022 年的经济状况,我们经历了一次糟糕的宏观经济转变——利率上升、通胀失控。当然,人们最先削减的通常就是营销预算,我们看到 Facebook、Google 和其他广告渠道直接受到了冲击。但话说回来,这些风暴终会过去。所以当经济好转时,一般来说,我认为人们会重新回到尽可能多地从按点击付费的角度去寻找可购买的广告位,并想办法算清楚这样做的经济账。
谁在当前的绩效营销中最成功
Lenny: 我本来就要问这个,很高兴你提到了这一点——付费增长/绩效营销领域最近确实发生了很多变化。你提到了隐私问题,提到了 COVID 如何改变了人们的消费方式——先是下降然后又回升。所以我的问题是:你认为现在谁在绩效营销中最成功?我先抛一个线索——从你刚才分享的例子来看,似乎主要是那些运营效率非常高的公司。Grammarly 作为一个企业就是非常高效的。而 Athletic Greens,他们是赞助商,他们在赞助谈判中的态度就是——好,这是对我们财务上合理的数字,超过这个数他们就不接受了。
Jonathan Becker: 对。因为他们知道、理解自己会获得多少曝光,平均每次曝光的质量如何,以及在 ROI 出现断崖式下降之前,他们能在背后投入多少资金。
Lenny: 没错。所以总的来说,你认为在当前的变化环境下,谁在绩效营销中最成功?另外就绩效营销领域过去大约一年发生的变化,人们应该了解些什么?
Jonathan Becker: 我不太能具体指出某家公司说”这家公司做得特别好”——你可以那样做,但这就像我一位朋友最近在 Twitter 上发的一条有趣的推文,他说”这就是我用来中彩票的那个号码”——每个成功的创始人在给其他创始人提建议时都会这么说。换句话说,仅仅因为他们中了彩票,并不意味着你选同样的号码也能成功。
在某种程度上,围绕当代的绩效营销确实有一套方法论,它涵盖了从非常严格和严谨的创意测试及正确思考这一问题,到理解归因的主观性及其优缺点,再到围绕这些活动的有效性做大量工作——基本上就是测量和诸如此类的事情。能够做到这些事情,然后理解自身营销经济学——换句话说,最基本地说:在任何渠道上我们最多能承受花多少钱来获取一个客户,超过这个数字就不再盈利。真正关注最终利润率,而不是仅仅关注净增长。具备这些能力、用这种方式看待世界的公司,往往能在绩效营销中取得成功。
SEO 与付费增长的取舍
Lenny: 你在做自我介绍的时候提到,你最初是做 SEO 起家的,然后才转向付费增长。那么作为创始人,如果要决定往哪个方向投入,你怎么看这两种投资?你的建议会是——在什么条件下应该把时间花在这里而不是那里?
Jonathan Becker: 当有人问我应该把钱投到自然搜索还是付费搜索时,我的回答往往是:这两者其实并不互斥。同时做两者是个很好的策略,这也回归到我关于渠道多元化的方法论。所以不要把资源集中在一个领域,避免在营销组合中制造波动性。SEO 如果做得正确,是一种非常出色的营销能力。我认为问题在于因果关系方面。绩效营销之所以在理论上很受青睐,其中一个原因是我们可以投入一定的预算,如果建模正确的话,基本上可以确定我们采取的行动带来了多少收入。财务团队喜欢这一点,管理层喜欢这一点,他们可以据此做预测、做预算。如果操作得当,它具备一定程度的可预测性。
SEO 则不同,归因会比较困难。很难确定你采取的行动最终是否促成了自然流量的增长。你基本上只能做相关性分析。原因在于,当你构建内容集群,按主题分组,针对各类关键词——无论是长尾词还是头部词——你可以把所有这些内容发布到网站上。但 Google 还是需要去抓取它,然后通过他们的分析算法进行处理,这个算法由 200 个不同的信号组成,其中大概只有 20 到 30 个被公开披露过。所以它在某种程度上是一个黑盒。
除非你在测量方面非常精通,比如可能像你的另一位嘉宾 Ethan 那样,否则我们很难真正确定这带来了多少 ROI。而付费方面,ROI 仍然是一个难题,但在归因上有更多的线性关系。正因为付费的成效是可触达的、可衡量的,所以我更倾向于付费,并最终从 SEO 转向了付费。但我确实认为,如果 SEO 做得到位,其回报是不可否认的,它无疑是现代媒体组合中的重要组成部分。
广告创意为何成为付费增长的最大杠杆
Lenny: 你之前提到过这一点,我最近也越来越多地听到一种说法:如今付费增长最大的杠杆之一是创意(creatives)。不是工具,也不是更智能的数据——或者你说我理解错了——关键就是做出更好的创意。那我就让你来解释一下,什么是创意?行业外的人不一定理解”创意”这个词。然后更广泛地说,人们应该在创意方面做些什么来优化自己的方法?
Jonathan Becker: 当然。当我们说创意时,指的是那些驱动程序化广告或按点击付费广告活动的素材,通常是在社交渠道或展示广告网络上投放的视觉内容。所以就是你在 Facebook 上看到的动态图形广告,在 TikTok 上看到的用户生成内容,或者你可能会看到的带有精美图片的静态广告。我认为当我们讨论创意作为提升效率和优化的重大杠杆时,背后的核心话题是:我们的行业随着时间的推移已经被高度自动化了。过去七到十年间,很多围绕效果优化的所谓杠杆,都已经被 Google 和 Facebook 自动化了。原因是,最初你投放这些广告时,需要有顶尖高手来操作。它极其复杂,有很多地方可能出错。而这些渠道——也就是那些大型科技公司的解决方案——是替你搞定一切。所以 Google 最终希望你做的就是:嘿,我是 Google,把你的信用卡给我,剩下的我来搞定。Facebook——
Lenny: 再加上一个链接指向你的页面,然后剩下的我们来处理。
Jonathan Becker: 对。顺便说一句,我不知道这对消费者来说是不是好事。但与此同时,有些东西确实已经被完全自动化了。在创意方面,它仍然是少数几个——至少目前如此——还没有被自动生成的环节之一,尤其是在 AI 的各种变革之下。也许未来这会发生变化。但就目前而言,创意总监及其团队仍然在构思和制作不同类型的素材。我们发现当客户找到我们时,通常存在一些常见问题。第一个问题是,在很多组织中,绩效营销和品牌营销是两码事。品牌团队中的设计师们的工作负荷和安排,往往让他们对付费获客的运作方式缺乏理解。
所以我们经常看到的一个陷阱,或者说某些公司犯的错误是:设计团队会把一堆随机素材直接丢给付费获客团队,却不了解渠道的运作机制。我的意思是,如今我们用漏斗这个经典比喻来组织对创意素材的思考。你可以把它理解为在漏斗顶部激发意图,在漏斗底部捕捉意图。当我在思考消费者在 Facebook 上应该获得的体验时——包括受众定向和创意——我会把它想象成在漏斗顶部用创意与受众展开一场对话,随着我们传递不同的信息,这场对话也在不断变化,我们所定向的受众最终通过在我们网站上的不同行为从一个阶段过渡到下一个阶段,最终以他们做出品牌方期望的行动作为对话的结束。
所以这里有一个清晰的起承转合。而我们看到的一个主要问题是,有些品牌只是把一个同质化的信息灌入所有定向中。你看到的都是同一个广告反复出现。这会引发广告疲劳(banner blindness),完全丧失效率。解决之道是为付费渠道配备专门的资源,并根据我们从各渠道广告组和广告系列中获取的数据,对创意素材本身进行迭代。这意味着你必须做实验。你需要采取一定的科学方法——尽管这既是艺术也是科学。你需要尝试隔离变量,在不同定向中保持相似的条件,然后判断哪种风格和特征的广告在漏斗的哪个阶段、针对哪个受众表现最佳。不同品牌之间的结果差异巨大。但如果你不进行严谨的测试,并以此驱动广告的迭代和设计,那你基本上就不会取得进展。
Lenny: 你有没有一个具体的例子?就是某个创意上的改动产生了戏剧性的效果变化?如果没有具体例子的话,有没有一些具体的策略建议,可以帮助人们改善他们在创意方面的做法?
广告创意测试的具体方法
Jonathan Becker: 好的。从测试的角度来说,假设我在 Meta 上投放广告,在广告系列层级之下,我的测试结构通常是这样的:在广告组层级设定一个单一受众,然后在该广告组内放置两个几乎完全相同的创意,唯一的区别在于单一变量。可能是文案,可能是图片之类的。这样我们可以隔离大量变量,真正测试两个创意素材之间的一个单一变化。这里面有很多细节。有时候即使我们按照这种方式搭建了测试结构,广告投放算法仍然会给两个广告分配不同的曝光量,这种情况下我们就需要找到一个”均衡因子”,让我们能够在两个广告获得截然不同曝光量的情况下,依然公平地比较它们。
这时候如何判定效果就带有一定的主观性了。但一个很好的方法是看点击率,它本质上是一个比率;或者看”转化前所需曝光量”这类指标——这是一个均衡指标,即使两个面向同一受众、在同一广告系列中的广告获得了不同的曝光量,我们仍然可以用这类指标来衡量一个广告相对于另一个广告的效率或效果。所以从测试的角度来看,这是一种评估广告表现的方式,我们可以据此收集洞察,反馈给创意团队,告诉他们:嘿,事实证明当这条文案用在漏斗的这个阶段时,转化率比另一条文案高出 50%。
那我们就把这条文案作为基准文案,用一种不同类型的文案去挑战它,看看能否持续迭代和优化。这就是在 Meta 这样的渠道上进行广告创意测试的一个非常实操性的例子。你问到有没有看到过”突破性解锁”的具体案例,我想到两个。几年前我们发现,品牌团队制作的高度精良的广告——我并不是说品牌团队有什么问题,我们一直和他们合作,他们做得非常出色,我想强调的是我们希望作为一个统一的整体运作,而不是各自为战——但很多公司的品牌指导方针最终产出的都是那些高度打磨的素材。当年在 Instagram 上投放时,我们发现它们的表现在用户生成素材面前总是逊色不少。
用户生成内容的力量
比如一个品牌让一位网红站在镜头前说:我试了这个产品,特别喜欢,我是用 iPhone 拍的这条广告。看,这是产品,这是我,用了之后效果很好。诸如此类。那种未经打磨的 iPhone 手机创意素材,我们突然发现其表现远超其他渠道的素材,因为它具有一种真实感。不再是品牌自己说”相信我们,我们的产品很棒”,而是由第三方来验证这些品牌到底好在哪里。受保密协议限制,我没法透露具体客户,但这是其中一个例子。另一个例子是我们几年前合作的一家家具公司,他们的增长非常迅猛,但早期在社交媒体广告的扩展上遇到了瓶颈。
当时付费搜索对他们来说效果很好。但社交媒体广告方面,他们用的又是那种高度精修的样板间照片,其中一个合伙人总是把狗带到办公室,他们会请模特坐在家具上拍照,或者拍那种精美的家居场景照片。后来一位美术指导说:把狗放到沙发上,我们来拍一些狗狗在家具上的照片。这让整个画面变得更加有趣、更有亲和力。仅仅这一个改动,就彻底释放了他们在付费社交渠道上的表现。ROAS 直接翻倍甚至翻了三倍。所以正是这些你可以通过测试发现的细微差异,最终驱动了业绩的提升。
Lenny: 这让我想起了 Airbnb。他们的摄影团队最初在房源照片中会包含人物,当时觉得这就是房源图片的正确做法。结果发现,当房源照片中没有人物时,转化率要高得多。理论基本上是,人们不想在自己即将睡觉的地方看到其他陌生人,而这个发现是出乎意料的。
Jonathan Becker: 这是一个非常好的例子。那么问题就变成了:作为一个公司、一个品牌,你是靠偶然的轶事经验来获得这些认知的吗?是靠团队中某一个人的天才直觉,而整个品牌的表现都依赖于这个人?还是说你围绕测试和素材迭代建立了一套非常严谨的流程,用一套系统的方法来判断一个东西是否比另一个更有效,从而持续产出你想要的结果?所以我们跟很多客户合作时,人们经常谈论我们那些显而易见的专业硬技能,但真正拉开差距的软技能其实是可落地的流程——正是这些流程决定了你是高度专业还是不够成熟。内部团队也可以做到这一点,但 Airbnb 的例子很好地说明了,如果你搭建了正确的测试体系,就能产出带来性能突破的成果。
测试工具与流程
Lenny: 顺着测试大量创意这个思路,再往下聊得更实操一些——这让我想起之前和一位在 Wish 负责增长的人聊天时听到的一个故事,他们上传了数百个变体。我觉得 Wish 就是那种完全反其道而行之的典型——完全不是品牌精修广告的路线,就是看起来最荒谬的产品配上各种横幅、数字、价格、划线价之类的东西,反正就是一切能让人点击的手段都上。你有没有推荐的工具或流程,可以帮助人们进行创意测试?还是说现在已经内置于现有工具中了,没什么特别的了?
Jonathan Becker: 我们经常被问到这个问题。我觉得在我们为不同品牌运行付费获客的过程中,不同环节确实有不同的工具可以使用,但如今我们的大部分测试都是在渠道内部完成的。Meta 广告、Google 广告,我一直特别提到这两个,因为我认为它们是最先进的,功能非常强大。好消息是,你并不一定需要什么稀奇古怪的工具来做精细的创意测试。你可以在平台内完成,而且可以用我刚才概述的那套结构作为起点。
其他渠道:TikTok、YouTube 与 Snap
Lenny: 你提到了 Google 和 Facebook。那你怎么看 TikTok、YouTube,可能还有 Snap?你会建议人们去这些平台尝试吗,那里有很大的机会吗?你觉得是被夸大了?还是说人们现阶段基本上就只用 Google 和 Facebook 就够了?你的总体建议是什么?
Jonathan Becker: 当我说 Google 和 Facebook 的时候,我指的是 Google 的渠道生态系统,包括 YouTube 在内。而说到 Facebook,我指的是 Facebook、Instagram,以及可能迟早还有 WhatsApp——我认为 WhatsApp 今年晚些时候可能会推出广告。尽管如此,如今真正有意思的机会实际上存在于 Amazon 和 TikTok 这样的渠道上,以及其他一些挑战者渠道。Snap 我会少谈一些,因为我觉得使用 Snap 的人确实越来越少了。这不是说 Snap 不好,我自己也用 Snap,非常喜欢,但与此同时,大多数个人或组织倾向于把广告投放在有大量观看和互动的地方,而目前这个领域的王者无疑是 TikTok。TikTok 面临着自身的一系列挑战,可以说目前那里的机会和壁垒一样大。
我喜欢 TikTok。我是 TikTok 上的内容消费者,不是内容生产者。TikTok 的广告平台让我有点想起六七年前 Facebook 广告的样子。它还不是很成熟,归因也还不够好,但你可以拿到很低的点击成本(CPC),因为在那里投放广告的组织本来就少。能把这个渠道跑通的公司也不多。Amazon 也一样。Amazon 算是一个比较独特的渠道,它不适合 B2B SaaS 公司,我认为它更适用于 D2C。但基本上这些渠道都很不错,只是还没到无处不在的程度。过去十年里跟我们合作过的每一个广告主肯定都在 Google 上投过广告,人人都在做。那问题就变成了:还有什么地方是我可以投入资金并有望盈利的?
所以 TikTok 和 Amazon,甚至如果我把 YouTube 单独拎出来的话,它们都相对更具体一些,确实有效,但还不适用于所有人。于是问题就变成了:TikTok 会不会成为一个像 Meta Ads 那样的主流社交广告平台?我们还不知道。顺便说一下,我们在 TikTok 上看到效果非常好的是那些创始人驱动的品牌——创始人本人就是品牌大使,拿着 iPhone 拍那种手持视频,讲述自己产品的优势,讲述他们解决的问题。他们非常擅长积累粉丝,内容互动性很强。这类公司做得非常出色。还有那些在网红合作方面做得很好的公司。我们之前没怎么聊过合作伙伴营销,但联盟营销(affiliate marketing)公司很早就进入了这个领域,网红营销网络也遍布其中。本质上就是让这些第三方以真实的方式成为你品牌的代言人,与他们合作,让他们来生产内容。这就是合作的本质,这种模式似乎……
Jonathan Becker: ……这就是合作的本质。这种模式似乎效果很好。
Lenny: 太棒了,我很喜欢你总结的这些要点——什么在 TikTok 上更可能奏效。
Jonathan Becker: 对。
TikTok 被高估还是低估了
Lenny: 总体来说,你认为 TikTok 广告目前是被低估了、被高估了,还是恰如其分?
Jonathan Becker: 如果你是电商模式,如果你做批发、零售,任何直接面向消费者的业务,你必须去研究 TikTok,想办法在那里推广你的产品。这是一个体量庞大、互动性极高的受众群体,人口结构也有一些独特的特征。这是一个非常令人兴奋的机会。其他品牌也需要关注这一点,找到自己的切入点。而且仅仅因为 B2B SaaS 在 TikTok 上还没有实现创新,不代表以后不会。TikTok 希望这件事发生,所以问题只是如何实现。总会有人解锁这个玩法,并因此赚到十亿美元。
但我目前还不会向所有人推荐这个渠道。比如在 Thrive,还没有很多人来找我们说:“嘿,我每月在 TikTok 上投 75 万美元,你能帮我吗?“之类的。TikTok 的另一个问题是它对创意素材的依赖极重,需求量极大。你需要每周推出好几次全新的素材,这对创意团队和品牌来说很难生产那么多内容。这需要一套内容生产机器,而这很贵。所有这些因素都会影响成本——不仅仅是广告费,还包括支撑该渠道所需的创意资源和投入。如果预算较少,可以用更灵活的方式来做,但如果你想在 TikTok 上做到每月一百万美元的投放规模,没有海量的创意素材推送到这个渠道是不可能的。
B2B SaaS 的获客渠道
Lenny: 太好了,非常有价值的建议。我待会儿想聊聊 AI,因为我猜 AI 可能会在这方面帮上忙。但你提到了 B2B SaaS,我想问一下,我猜 Google 是 B2B SaaS 的主要渠道,如果是的话,或者如果不是的话,你觉得 B2B SaaS 在哪些其他渠道和广告网络上投入资金推动增长是有价值的?
Jonathan Becker: 在这个问题上我不偏袒任何渠道,对于人们应该在哪里花钱我持不可知论的态度。我看到的这个世界是以曝光和点击来衡量的,以及这是否符合一个项目为了增长所需达到的营销经济模型。关键不在于把钱放在哪里,而在于如何思考这些资金的投放方式。我们看到的一个常见错误是,当人们为 B2B 线索获取项目或 B2C 线索获取项目构建所谓的漏斗时,他们会过度依赖一系列最终导向销售的指标中的第一个。
通常来说就是类似每条线索成本(cost per lead)、营销合格线索(marketing qualified lead)、销售认可线索(sales accepted lead),中间可能还有几个指标,最终才产生一次销售。所以思路是:要让销售发生,我需要在漏斗顶部获取更多线索。线索越多,营销合格线索就越多,销售认可线索就越多,最终机会就越多,产生的收入也就越多。
所以如果我把绩效营销平台上的线索获取看成是刚才所说的每条线索成本的函数,那么人们往往会倾向于不断压低每条线索成本,认为这就是效率——我能拿到更便宜的线索,然后就能带来更多收入。然而事实是,如果你把这个思路反过来想:并非所有的机会和销售都是等价的,与其在前端关注每条线索成本,不如去关注什么是高价值客户。这样一来,每条线索成本确实更高了,但针对这些人投放的 ROI 也更高了。所以要获取更高质量的线索,并不是一个压低 CPL 的问题。
线索评分模型的构建
这就是我们接触到的新客户中最常见的一个误区。而对应的解决方案很有意思——Thrive 开发了一款 ETL(抽取-转换-加载)工具,叫作 Thrive Stack。它目前不对外商用,但如果你想要一个商业化的替代品,可以用一款叫 Supermetrics 的工具。简单来说,Supermetrics 是一个数据连接器。市面上有各种各样类似的数据连接器,但它的核心作用是通过 API 将你 CRM 中的收入数据导入第三方数据库,然后与渠道本身的数据进行关联。你可以在数据库中建表,将数据标准化合并,从而开始判断特定机会群体所来自的受众,与这些机会所带来的收入水平之间是否存在足够强的关系。
在此基础上,你就可以构建所谓的线索评分模型,从而能够在实时竞价中对那些更有可能转化为高收入客户的受众群体进行出价。这其中的关键在于——我们之前谈到过绩效营销领域中回报率和即时满足感的话题,而线索获取本质上是一个延迟满足的过程。问题在于:如果我的销售管道中充满了两到六个月、甚至十二个月才能产生收入的机会,我今天该如何决定对不同线索的出价力度,才能在预测范围内实现收入最大化?线索评分模型基本上就是解决这个问题的。
(广告段落已跳过)
归因的基本概念
Lenny: 你刚才提到了归因(attribution),我觉得这是个很好的切入点来深入聊聊。我的理解是,推动增长过程中最大的挑战,往往不是增长工作本身,而是如何衡量你工作的实际影响,以及理解钱花在了哪里、花得是否有效。而归因领域正在发生巨大变化——隐私政策的转变、ATT(应用追踪透明度)以及 iOS 14.5(或者那个改变一切的版本号)。所以我的问题是:在归因能力方面到底发生了什么变化?也许可以先为那些完全不了解的人解释一下归因到底是什么意思?最后,在这个新环境下,你建议人们现在应该怎么做归因?
Jonathan Becker: 这是一个非常好的问题,在业内也非常切题,目前受到了大量关注。不过归因一直以来都是一个非常重要的议题。先说基本概念——归因本质上就是确定”我们做了什么”和”发生了什么”之间的关系。在绩效营销的语境下,这意味着我们投放了哪些广告、启动了哪些广告系列,以及这些广告系列最终带来了多少收入。有一句我很喜欢的经典名言,1919 年一位名叫 John Wanamaker 的人说过——
Lenny: 我猜我能猜到是什么。
Jonathan Becker: 你猜猜看?
Lenny: “我的一半营销预算都浪费了,我只是不知道是哪一半。”
Jonathan Becker: 没错,很高兴你知道这句。他在 1919 年说了这句话。当时的世界与现在截然不同,但奇怪的是,我们今天依然面临类似的问题。原因在于,“我做了什么”和”因为我做的这些事而导致了什么结果”之间的关系非常复杂。变量太多了——有些是我们知道的,还有些是我们甚至不知道自己不知道的。所以归因在我们这个行业里,至今仍然是一门高度主观的艺术,同时也有一定的科学成分。这不意味着归因不可能做到,也不意味着归因没有不同程度的精细化手段,但我们仍然需要先理解业务及其目标,然后才能开始构建归因模型。
归因模型的类型与挑战
归因模型可能是一个永远无法彻底”解决”的问题,但我可以举几个例子。首先,在归因方面,很重要的一点是确定一个组织、一家公司或一个客户关注的是盈利还是增长。我使用哪种归因视角,会直接影响最终的结论。而现在,由于多种原因——你提到了 iOS 14.5,此外还有第三方 Cookie 的逐步淘汰等等——归因已经没有唯一的标准化方法了。
最经典、也最普遍使用的归因方式曾经是基于 Cookie 的归因,叫作”末次点击归因”(last click attribution),意思是说在产生一次转化的点击序列中,最后一次点击将获得该转化带来的所有收入归因。在 Cookie 的世界里,其他模型还包括”首次触达归因”(first touch attribution),即把所有功劳归于第一次点击。也就是说,我投放了一条广告,触达了一个对我的服务或品牌完全不了解的受众群体,那么我获得的第一次点击就应该获得这次销售的全部功劳。然后还有”多触点归因”(multi-touch attribution),它可以有多种形式,但本质上就是说既不是首次也不是末次,而是介于两者之间——我会创建一个加权归因模型,第一次触达获得一定比例的功劳,最后一次触达获得一定比例的功劳。
如你所见,这是非常主观的。我本质上是在审视自己的商业模式,确定目标,然后逆推出一个我认为既符合业务经济逻辑、又符合平台能力的归因方法论。而且,我们生活在一个单一品牌可能同时投放电视广告、在杂志上购买媒体资源、购买广告牌、从 Facebook 获取曝光、做付费搜索的世界里——所以如何最终建模归因,是一个充满争议的大问题。
IDFA 与苹果隐私变革
Apple 此前允许广告主使用一种叫做 IDFA 的标识符,它的全称就是”广告主标识符”(ID for Advertisers),它允许 Facebook、Google 以及其他广告平台——Snap、TikTok 等所有在 Apple 移动设备或桌面设备上投放广告的平台——让广告主在其自有平台上提供归因指标以及某些类型的客户匹配指标。而当 Apple 最终在 2021 年中推出其隐私变更时,用户一夜之间可以选择说,“好吧,我不想分享那些信息了,我不再分享我的 IDFA。” 或者说,“是的,我愿意分享我的 IDFA。” 其结果是,你看到的尤其是 Facebook 所需的核心数据变少了——这些数据本来是让归因更加严密、最终验证其广告效果所必需的。
Jonathan Becker: 由于我们不再能像以前那样顺畅地在 Facebook 上验证归因,我们面临的局面是:不再确定应该定向哪些受众,不再确定如何开展所有的创意测试,最终甚至无法确定来自特定已投放活动的收入到底有多少,诸如此类。这在归因领域引起了相当大的震动,而归因显然正是回答”广告到底有没有用”这个核心问题的基础。人们想回答 John Wanamaker 的那个老问题,而现代的方法论现在是通过多种不同的验证路径来实现的。
基于 Cookie 的归因大概曾是 2010 年代最受欢迎的归因方式,一直到目前为止都是。现在它仍然是我们看待归因的方式之一,但我们还会纳入其他手段,比如各种形式的统计建模、客户调查、人群调查——通往同一个目的地的路径有很多种。统计建模方面,顺便说一下,现在非常流行的一种——我认为最初是在 1950 年代创立的——是一种叫作媒体组合建模(media mix modeling)的统计建模方法。它本质上就是回归分析,试图确定你所做的事情与收入效果之间的因果关系。这在当今行业内是非常热门的话题。如果你在找一个开箱即用的工具来辅助这件事,我看到很多人在使用的是 Recast。不过也有很多组织会构建高度定制化的模型,最终以定制方式将数据喂入 MMM 模型的算法中。
归因的核心建议
Lenny: 有没有一个明确的建议,比如说”嘿,如果你现在想做归因,就应该这样做”?有没有一个清晰的”照这样做”的建议,还是说完全因人而异、取决于你具体在做什么?
Jonathan Becker: 我的建议是:不存在单一的真实来源。任何声称自己是唯一真实来源的——无论是一个人、一个他们创建的模型,还是一个他们开发的工具——都是不准确的。我认为行之有效的归因方法是:把它当作一个持续进行的调查,而且永远不会停止。本质上你要做的,就是寻找证据来验证你的绩效营销活动到底有效还是无效。
我们帮助搭建过许多极其精密的归因模型,之后又用 MMM 或其他类型的工具将其证伪——这些工具表明那些活动实际上并不起作用。我再重复一遍:作为一个非常精密的组织,我们启动过活动、进行了测量,最终判定它们不起作用——而这是一个非常重要的发现,它决定了组织是否要继续投入、从这些渠道中撤出预算,还是转向其他领域投资。
Lenny: 太好了。你提到了一家叫 Recast 的公司。你可能不知道,我其实是他们的投资人,所以自然是非常看好的,大家可以关注一下。我不确定他们的网站是什么,可能是 recast.com。我觉得如果你 Google “Recast attribution” 就能找到,我们也会在节目说明里放上链接。
Jonathan Becker: 很好。对,他们现在正在和我们几个客户合作,很有意思,我喜欢他们的方法。
Lenny: 对,他们基本上是把建模作为 SaaS 工具来做归因,方式非常巧妙。好了,还有最后几个问题——一个关于 AI,一个关于代理机构,以及如何起步走上这条路。AI 目前在哪些方面影响了你正在做的工作,或者说影响了付费增长、绩效营销的工作?你觉得未来几年这个方向会怎么发展?
AI 对绩效营销的影响
Jonathan Becker: 有意思的是——我想我之前也暗示过——我们这个行业受 AI 影响已经超过十年了。Google、Facebook,甚至 Microsoft,这些组织历来都走在人工智能的最前沿,而他们的目标始终是尽可能多地实现平台内的自动化。因此,从人力资本的角度来看,我们最终看到的效果是”替代”。实际上,我们现在的人比以往任何时候都多,但他们所做的工作性质更加偏战略层面——更多是关于建模、验证、提出正确的问题、聚焦创意杠杆,就像我们之前讨论过的那些,而更少的是那种在 Google 搜索的关键词级别进行实施和调整出价修饰符的苦力活,以及我们过去必须做的那种硬核的手动分析。
所以我觉得,如果我们是其他行业的”煤矿里的金丝雀”的话,那么有趣的地方在于:我假设如果你在一家建筑事务所工作,你会越来越少地做制图工作——实际上这种变化在那些事务所里已经发生了——你会越来越少地做制图,而更多地做这类战略性的问题解决,比如”在这种场景下,客户需要什么样的建筑”,诸如此类的事情。
而在实际操作层面,一些对话式 AI 模型对我们来说非常有意思。比如在创意测试方面,我们可以让 ChatGPT 生成各种我们未必能想到的文案变体。它还可以做很多像 RFP 回复这样的起草工作——我们可以把以前做过的 100 份 RFP 回复喂给 ChatGPT,让它针对全新的 RFP 中全新的问题生成全新的回复,大概能到 80% 的完成度,仍然需要花 10 个小时去打磨到可以发给客户的状态,但这替代了以前需要五六个花一周时间才能完成的工作量。
Lenny: 而且你说的这些都是现在正在发生的?
Jonathan Becker: 现在就在发生,就是此时此刻,我刚才说的所有内容都是。而且我们还在很多不同的方向上开始用 AI 来以更少的资源做更多的事情。基本上,这就是我看到它不仅影响我们行业、也影响其他企业业务的方式。
Lenny: 这太厉害了。所以重复一下你说的——你的团队现在因为 ChatGPT 的存在,能够把更多时间花在更高层面的工作上,并且具体利用 ChatGPT 来做这类事情。而 RFP 基本上就是提案书——别人邀请你去竞标跟他们合作,是这样吗?
Jonathan Becker: 对。
Lenny: 好的,了解。
AI 生成创意的效率提升
Jonathan Becker: 现在有些 AI 驱动的工具,你输入一段提示词,它就能生成一张图片。我们的创意团队现在制作概念稿的时间,几乎是原来的百分之一。你不再需要手工绘制初始的设计稿。以前一个人可能要花一周才能完成一个广告活动的创意,现在一个下午就能搞定。你仍然需要知道该向 AI 提出什么问题,并且能够迭代优化,但那些用来给客户展示的粗稿——“你喜欢这个方向还是那个方向?“——已经是 AI 生成的了。这真的很有意思。
Lenny: 你们团队用的是哪个工具?是 MidJourney 还是 Dall-E,还是别的什么?
Jonathan Becker: Dall-E 和 MidJourney 都在用,你说对了。
Lenny: 明白了。所以你们的用法是——有了一个概念想法后,快速生成一个概念稿,写一个提示词来展示这个想法可能的样子。
Jonathan Becker: 对,有趣的地方在于,这些概念往往存在于某个人的脑子里。我们人类习惯用语言来讨论它,我试图把脑海中的画面传递到你脑海里——这个过程本身就效率很低,实际上还削弱了我们作为创意领导者的能力。对方看到的可能跟你想象的完全不一样。现在,这个人理论上可以用 Dall-E 把脑子里的画面直接输出,然后通过后续的提示词在 Dall-E 或 MidJourney 里不断微调,最后直接问:“你喜欢这个吗?这就是我的想法。“所以在某种程度上,AI 帮助人类在这种场景下比以前更容易实现理解对齐。而在向客户推销创意的时候,我们能够更快地生成更多方案并实时迭代。比如我可以跟你开一个 Zoom 会议,共享屏幕,如果你不喜欢我刚才提示 Dall-E 生成的结果,我可以根据你的反馈当场重新生成。
AI 会夺走工作中的乐趣吗?
Lenny: 有一种观点认为,AI 会夺走工作中有趣的部分,比如创意构思、提出新概念、摄影、搭建整个拍摄场景等等。
Jonathan Becker: 嗯。
Lenny: 你觉得你的团队对上传提示词到 Dall-E 这件事是兴奋的,还是觉得——该死,这是我本来最喜欢做的事情,现在我却只能坐在那里对着文档写提示词?
Jonathan Becker: 我不是一个特别出色的艺术家,但现在我可以把脑海中的想法输出成图像,效果跟一个相当熟练的设计师差不多。所以在某种意义上,我是兴奋的,因为这项技术让这种能力变得人人可及。任何能思考的人都能用 AI 图像生成器创造图像。你知道现在还有多少抄写员吗?
Lenny: 零个,我觉得是零个。
Jonathan Becker: 因为我们发明了一种叫印刷术的东西。印刷术取代了原来由极少数特定从业者把持的手工行业,他们曾借此控制信息流通。但今天我们并没有更少的写作者或创意思考者,他们只是用不同的工具到达了同样的目的地。织布机也是一样。以前有人手工把你的 T 恤或毛衣缝在一起,这些人现在都没有工作了。当然,现在还有人手工编织。但你的衣服都是在工厂里由机器制造的,衣服的质量可以说比以前好得多——也许我这个观点有误——但你可以生产更多、更精细的服装。
毫无疑问,AI 会取代某些行业的人、某些岗位。我不会假装自己知道这是好事还是坏事,我也不是 AI 的代言人,我们只是在用可用的技术以最好的方式经营业务。到目前为止,我们还没有因为这些效率提升而裁掉任何人。以前做设计的人,现在正是使用这些工具的人,而且我觉得他们对更高产这件事是兴奋的。这里面会不会有微妙的问题?当然。会不会有人对变化感到失落?会的。我认为人的天性就是不太喜欢变化,但从长远来看,变化对社会来说是生产性的、积极的力量,而不是消极的。
Lenny: 好的,听起来团队总体上是兴奋的,这是个好迹象。我的观察也大致如此——有些人会很难接受,但大多数人会觉得——太好了,他们本来就不想做这部分工作。
Jonathan Becker: 这一代人会感到不满,但下一代人从来不知道有什么不同。我这么想:现在成长起来的这批人从小就有互联网,而你和我可能还记得互联网出现之前的时光。AI 是一个和互联网类似的平台。就像互联网刚推出时,你根本无法想象 amazon.com 或者各种社交网络之类的东西。AI 的各种可能性——即使在当前的 GPT-4 或 Dall-E 的框架下——我们不知道人们会用它创造出什么。所以对于经历过那个”之前”的时代的人——在 iPhone 之前、互联网之前、AI 之前——这确实很难适应。但最终会有一批人只知道这些,对他们来说,这一切就是正常的。
Lenny: 直到最后我们都被 AI 取代,然后就是 AI 写广告,让其他 AI 工具购买产品,互相交易。
Jonathan Becker: 对。
Lenny: 然后我们就在旁边看 Netflix,那也挺好的。
创业公司应该找代理还是自建团队?
Lenny: 在开始投入付费增长、绩效营销的时候,总会遇到这个问题:应该找代理机构?还是自己招人?是招一个初级的人来摸索?还是招一个资深的人?
Jonathan Becker: 嗯。
Lenny: 对于早期创业公司,在什么阶段适合跟代理合作,什么阶段应该把人招进内部,你有什么通用建议?
Jonathan Becker: 我们需要客户有内部人员才能把工作做好。代理机构和内部人员并不是互斥的。如果我们没有一个对接人——比如在早期公司,如果我们要直接向 CEO 汇报——CEO 通常非常忙,我们经常拿不到成功所需的信息和审批。如果你认为增长营销是一个机会,而绩效营销是增长营销的一个子集、值得投入精力,那现实是你需要专业能力,你应该先在内部招人,然后再考虑请代理机构。
不同阶段的合作模式
Jonathan Becker: 同样,不同阶段的公司有不同的适用方案,我们在不同阶段所做工作的性质也会变化。非常后期的公司,我们主要做大量复杂的生产性工作——实施复杂的测试,做归因,搭建精美的报告系统——但从某种意义上说,我们是在维护一台已经运转的机器。而更早期的公司,我们会做大量全新的实验探索,试图发现什么有效,什么样的受众定向与创意素材展示的组合能奏效,什么渠道配比行得通,诸如此类。很多时候,要攻克这些所需的工作量,以及需要前瞻性地判断该问哪些问题的能力,并不是一个小型内部团队所具备的,所以他们就会跟代理机构合作以更快地扩展、更快到达目标、更快地获取更多资源。到了后期阶段,有时候是同样的变体,或者我们就是在管理他们一大堆不同的职能,因为人员配备确实非常复杂和困难。
Lenny: 这确实很有意思。所以并不是代理机构与内部全职人员的二选一。你发现的是两者都需要。
Jonathan Becker: 我想我们没有哪个项目是没有专业营销人员作为我们的对接人的(POC)。通常向我们汇报的人都有我们所做领域的背景——不管他们最终做了别的事情,现在做到 VP 或总监级别,不再直接管理渠道,这是另一回事。但总的来说,我们一直都是跟有内部专业能力的人合作。
Lenny: 我明白了。有时候可能就是一个通才型的营销人员成为你的对接人。他们不一定要有付费增长方面的经验。
Jonathan Becker: 嗯。还有一点。作为代理机构,我们不断在解决市场上的各种问题,正因如此,我有一个130人的团队,整天都在思考绩效营销。这是我们早上喝咖啡时想的第一件事,也是离开办公室前想的最后一件事。我们有非常成熟且完善的职能体系,以及各种软件、流程和能力——这些是大多数内部团队所不具备的,因为他们更小、更新,或者有些人可能很资深但没有资源去落地实施。就像一个非常成熟的组织可能会去找 Boston Consulting Group 或麦肯锡说:“嘿,我们做了这些,但你们整天都在做这类事,我们需要关于如何提高效率的建议”,人们也会来找 Thrive 说:“嘿,我们已经做到行业顶尖了。我们有非常强的人,他们绝对知道自己在做什么”——这一点一直是事实——“但我们在寻找额外的专业性和更多的能力,这些在内部组织里非常难建立。” 这就是我们跟 Uber 合作了10年的原因。要替换掉我们很难。
Lenny: 是啊,这个留存率相当惊人。十年,十年了,我想你们的净收入留存率(net dollar retention)也在涨。
Jonathan Becker: 嗯。
招聘绩效营销人才的关键要素
Lenny: 当你要招一个全职的人来驱动付费增长渠道,和/或跟代理机构合作时,你建议人们具体看什么?尤其是那些大家不太容易想到、招聘时经常遗漏的方面?
Jonathan Becker: 有几个能力维度我认为非常重要。我发现——我自己小时候是个极客,如果你看不出来的话,我也不知道。
Lenny: 看不出来。
Jonathan Becker: 超级书呆子、极客小孩。我会把我父母的电脑拆开,然后试着重新组装。在网站出现之前,我就在玩电子公告板(bulletin boards),诸如此类。后来我成了 Web 开发者,当我转型做绩效营销的时候,我意识到,拥有技术背景和技术能力在我们的一线工作和解决问题方面非常有帮助。如果你在做第一次招聘,你大概希望对方有足够的聪明才智和能力来解决你在追踪、归因、数据可视化以及广告系列管理方面会遇到的许多问题。第一,他们是否有技术背景?这可以是跨学科的。
在 Thrive,我们有核物理学家转行来做绩效营销的,有数学背景转过来的,有金融背景的,全栈工程师,各种各样。这些都是技术领域,从业者通常擅长数学和解决问题,所以这是一个有力的证据,表明他们可能在绩效营销和管理方面有很强的资质。
另一个方面就是,他们是否确实有这个领域的经验?他们是否在任何层面上管理过 Meta 广告、Google 广告、TikTok、Amazon,或者我们今天讨论过的一些平台?他们是否理解我们今天讨论的那些最终决定绩效营销环境成败的关键要素?他们是否理解创意的作用?他们是否理解正确归因的重要性?他们是否有能力理解你业务的运作机制,等等?
我想从根本上说,这些就是我们在面试时重点考察的方面。作为代理机构,我们也在考察与人合作的能力和客户服务方面的卓越表现。我们会问的一个问题——实际上我借用了 Jeff Bezos 在亚马逊早期的一个面试问题——我会在面试中没有太多预警的情况下问候选人,是否可以一起做一个思维实验,是否愿意回答一个逻辑问题。我会问:“纽约市有多少扇窗户?” 在这种情境下我看重两件事。一是他们能否临场应变?我其实不是在找正确答案,这是一个相当难的问题。但我看重的是:第一,你是否意识到窗户不仅仅是建筑物的窗户,汽车和卡车里也有窗户,所以窗户不止一种类型。然后你能否做这样的算术推理——每公顷或每平方英里有多少栋建筑,然后用除法、乘法之类的去估算。
但从客户服务的角度来看,我也在观察:在我问了一个他们显然没有准备过的、奇怪的、可能让他们感到一点不舒服的问题时,他们会如何反应。他们是否能保持镇定,还是会失去冷静、变得沮丧,甚至因为我问了一个很奇怪的问题而生气?他们在这种情境下的反应,往往是他们在客户场景中面对困难局面时能否保持从容的一个很好的先行指标。
Lenny: 非常具体地说,你建议人们在第一次招聘绩效营销人员时看重多少年经验?一到两年、四到五年,还是更长?
经验年限 vs 实际能力
Jonathan Becker: 我见过在行业里有十年经验但表现平平的人,也见过只有一年经验却极为出色的人。我想再说一次,他们积累的从业年限是判断其潜在能力的一个线索或依据,但归根结底,你需要的是能清楚向你证明自己可以胜任地运营相关渠道的人。如果你的需求确实是管理按点击付费和程序化广告购买这个层面,那你只要确保他们能做好这件事就行,而经验年限反而不那么重要。很多时候,人们做这类工作几年之后就会问:“你对我有什么规划?我已经厌倦了投放广告和搭建广告系列了,我想管理做这些事的人。“真正愿意扎扎实实做这件事的人,往往处于职业生涯的早期阶段。这就是我们看到的一个现实。
Lenny: 再问一个非常技术性的问题。你建议这个岗位的职称叫什么?增长营销经理,还是别的?
Jonathan Becker: 我见过各种各样的叫法。我觉得,如果出发点是要搭建一个增长营销能力——再说一次,这不局限于绩效营销——那你需要的是一个增长营销经理(Growth Marketing Manager)这样的管理岗。对于只管渠道的人,我见过叫付费获客专员(Paid Acquisition Specialist)的。还有付费获客经理(Paid Acquisition Manager)、绩效营销经理(Performance Marketing Manager)、媒介策划与购买(Media Planner and Buyer),各种各样都有。不过现在我们新设岗位的时候,有太多好用的工具了,从 Glassdoor 到 LinkedIn 再到 PayScale,你基本可以看看别人怎么叫的,借用他们的岗位描述,然后创建自己的岗位描述,再决定在你的组织语境下什么样的职衔是有意义的。
如何赢得 Snap 的提案
Lenny: 太好了。最后一个问题。我们一开始聊了你如何拿下 Uber 的故事,我知道你拿下 Snap/Snapchat 作为客户的过程也很有趣,这个故事我还从没听过,不如讲讲吧。
Jonathan Becker: 这是一个很有趣的故事,我觉得它归根结底是关于自信和对自己手艺的把握。我记得大概是2015或2016年,我们收到邀请去洛杉矶参加一个 RFP(提案请求)。RFP 是一个很艰难的过程,本质上是公司的一个部门在说:“我们需要绩效营销,以下是我们要问你所有的问题以及你需要完成的演练,以此来评估你们是否是合适的合作伙伴。“有时候 RFP 设计得非常周到,主持的人要么在我们这个领域做过大量 RFP,要么非常清楚自己想要的结果。但也有其他情况——那些经验丰富的营销部门里有资深的从业者,他们的一种做法是让部门内每个利益相关方提交一到两个问题,汇总成一份长长的清单,然后所有应标方都要逐一回答。
Snap 的 RFP 过程相当复杂,他们问了各种各样的问题。我们到达洛杉矶,前一天晚上住在酒店,凌晨两点,我的合伙人和我们带去的一位团队成员都在冒汗,我们想:“这怎么做出一份演示文稿来?他们问了太多出发点很好但很难回答的问题,东一个西一个的。“在提案场景中你想讲一个故事,这很重要,而故事要有开头、中间和结尾。但当时实在太难了。可我们就在那里,我们跟这些非常棒的组织合作过,我非常自信我们清楚地知道自己在做什么。我有点顿悟的感觉,心想:“我们这样做。“其实是我和我的合伙人 Brent MacArthur 一起想到的,我们当时说:“我们这样做——我们要用一种完全独特的角度来回应这个 RFP,围绕 X、Y、Z 来量身定制一整套幻灯片。”
我们一直工作到早上六点,大概睡了两三个小时,十点钟我们就坐在他们的办公室里了。提案大致是这样的:我站在大约二十位来自他们组织的高管面前,说:“你们精心准备了一份 RFP 让我们今天来回应,你们要求我们回答大约二十到三十个不同的问题。出于最大的尊重,我今天不会回答你们的任何一个问题。我站在这里是因为你们在寻找一个营销合作伙伴,你们需要这个领域的专业能力。与其回答你们提出的问题,不如告诉你们我认为你们需要做什么才能达到你们想去的地方。如果你们同意我的逻辑和今天我讲的内容,那你们应该雇佣我们。如果你们不同意我的逻辑,觉得我们在胡说八道,那你们不应该雇佣我们。”
当时房间里安静得能听到针掉地上的声音。我自己的团队可能也有点吃惊。那天我们还遇到了一大堆技术问题——本该通过 Zoom 接入的人连不上,我不得不即兴发挥来处理我原本没准备的那部分提案,各种状况百出。他们对我们的 RFP 回应表示感谢,很多握手和微笑,但我们不知道能不能拿下这个客户。
大约两个小时后,我正开车和朋友去旧金山,因为我紧接着还有一系列后续会议,立刻从洛杉矶出发前往旧金山。这时候我接到了一个电话,对方说:“我们非常喜欢你们的方案。恭喜你们,你们中标了。”
现在我觉得 Snap 仍然是一个很有意思的组织,但在当时,他们正在开创社交平台的未来,或者说社交平台可以是什么样子——就像我们现在看待 TikTok 一样。那时候 TikTok 还没出现,Facebook 对 Snap 非常紧张,Snap 上的用户参与度极高,所以它就是当时最炙手可热的客户,感觉棒极了。
这个故事的教训是:你必须相信自己,了解自己的优势和不足。在面对一个出发点很好但可能并不清楚自己真正需要什么的人时,要有勇气告诉他们真正需要什么,而不是一味地顺从他们的要求,因为有时候这样做反而会在无意中把你引向歧途。我们冒了一个很大的风险,得到了极好的回报,除了这个故事之外,我们还和他们维持了几年的愉快合作关系。
Lenny: 我太喜欢这个故事了。你获取新客户的方式都这么戏剧性,我想应该不是每一个都这么戏剧化吧。
Jonathan Becker: 不是每一个都这么戏剧化,但确实有一些相当戏剧性的。我觉得经营一家公司、经营一家代理商,其中一部分乐趣就在于积累和体验所有这些在运营这家有趣的服务企业的过程中积攒的有趣而疯狂的故事。
闪电问答环节
Lenny: 太好了。那么,我们进入非常令人期待的闪电问答环节。我为你准备了六个问题。准备好迎接闪电问答了吗?
Jonathan Becker: 准备好了。来吧。
Lenny: 好,太棒了,我非常期待。第一个问题:你向别人推荐最多的两三本书是什么?
推荐书籍
Jonathan Becker: 作为营销人,Matthew Dicks 的《Storyworthy》是一本极好的书。他是一位世界级的故事讲述者,不知道你是否了解他。他写了这本关于如何构建和思考讲故事艺术的书,每个营销人都应该读一读《Storyworthy》。它对我思考我们在 Thrive 所做的事情产生了巨大影响。作为创业者,我喜欢创业故事,所以《Shoe Dog》,也就是 Nike 的创业故事。基本上是 Phil Knight 讲述所有的起起落落,非常疯狂。考虑到他们克服的所有动荡和挑战,Nike 根本不应该成为一家公司。关于冒险、坚持做自己认为正确的事,最终取得成功并建立起 Nike 的精彩读物。然后是 Nick Bilton 写的一本叫《American Kingpin》的书,讲的是 Silk Road 的创业故事,那是一个暗网市场,上面有一些相当糟糕的东西。但它一半是科技故事、创业故事,一半是黑帮大佬的故事。说实话它应该被拍成好莱坞电影。读起来就像好莱坞惊悚片一样。非常棒的一本书。
最近喜欢的影视作品
Lenny: 最近最喜欢的电影或电视剧是什么?
Jonathan Becker: 不知道算不算最近,但我很喜欢《大空头》(The Big Short),就是喜欢。
Lenny: 一点都不近,但确实很棒。
Jonathan Becker: 确实很棒。我喜欢它的原因是,有人在数据分析中发现了真相,然后据此行动并获得了回报,这其实就是我们在绩效营销中所做事情的一个类比。然后最近我迷上了《White Lotus》,没有特别的原因,就是纯粹的娱乐享受。
小改变,大影响
Lenny: 有没有什么你们在运营方式上做的改变,改动本身相对较小,但对你们作为团队或公司的执行力产生了巨大影响?
Jonathan Becker: 我们在绩效营销中使用的工具在不断变化。渠道本身在变,因此存在的问题以及 SaaS 公司或不同类型平台提供的解决方案也在变。我不认为这是某一件具体的事情,这可能算是一个比较绕弯的回答,但我之前提到过,变化本身是人类似乎不太喜欢的东西,而在我们这个行业——而且我认为我们并非唯一如此的行业——存在一种拥抱变化的文化。欢迎变化、适应变化的能力,对新技术和工具保持一种玩乐的心态,而不是因为 AI 的存在、第三方 Cookie 被淘汰或 iOS 14 移除了 IDFA 而感到沮丧,并尝试围绕这些解决方案发挥创造力,这一直是我们的常态。我有点在回避问题,但我认为正是这种文化上愿意适应的特质,是我们作为公司的一个强项。
最被低估的工具
Lenny: 说到工具,最后一个问题。你最推荐的、最被低估的绩效营销工具是什么?
Jonathan Becker: 是 Thrive Stack。这是我们自己内部构建的工具,可以将第三方数据和匿名化的客户级数据导入数据库,然后最终以 Data Studio,也就是 Google Data Studio(现在好像叫 Looker Studio)的格式进行可视化。这个平台极其强大,让我们能够基于数据产出洞察,而不仅仅是把数据原样呈现出来,希望能理解我的意思。我们还没有对外发布这项技术,目前基本上是我们与客户合作时内部使用的工具。但某种程度上,我之前提到的 Supermetrics 也是一个 ETL 工具,具备一些类似的功能,只是没有那么强大。
结语与联系方式
Lenny: 太精彩了。Jonathan,这是我迄今为止最深入地探讨付费增长领域的一次,非常感谢你抽出时间与我们分享你的所有智慧。最后两个问题:如果大家想了解更多、联系你、或许问一些问题,可以在网上哪里找到你?听众怎样能帮到你?
Jonathan Becker: 再次感谢你的邀请,这很有趣。你可以通过 Thrive 联系我,网址是 thrivedigital.com,可以通过我们网站上的联系表单与我们取得联系。我个人在 LinkedIn 上,搜索我的名字 Jonathan Becker 就能找到,或者 Twitter,账号是 JZBecker。至于听众方面比较感兴趣的,我始终欢迎大家对我们所做之事的观点和想法提出反馈,无论赞同还是反对。当然,我们也一直在寻找优秀的人才加入 Thrive 的团队。如果你是增长营销或绩效营销的从业者,正在寻找一个顶级的地方发展一段时间,我很乐意与你交流。另外,如果你在自己的组织中需要一些帮助来让这些事情运转起来,我们也很乐意为你服务。
Lenny: 太好了。网址再说一次?
Jonathan Becker: Thrivedigital.com。
Lenny: 好的。你要了反馈,小心你许的愿望。我们评论区会有一些很搞笑的评论。走着瞧吧,看看这期会收到什么。
Jonathan Becker: 没问题。
Lenny: Jonathan,非常感谢你来参加节目。
Jonathan Becker: 我的荣幸。谢谢 Lenny,谢谢你的邀请。
Lenny: 大家再见。非常感谢收听。如果你觉得这期内容有价值,可以在 Apple Podcasts、Spotify 或你最喜欢的播客应用上订阅节目。另外,也请考虑给我们评分或留下评论,这真的能帮助其他听众找到这个播客。你可以在 lennyspodcast.com 找到所有往期节目或了解更多关于节目的信息。下期见。
术语表
| 原文 | 中文 |
|---|---|
| ad sets | 广告组 |
| affiliate marketing | 联盟营销 |
| American Kingpin | American Kingpin(书名保留原文) |
| Athletic Greens | Athletic Greens(品牌名保留原文) |
| ATT | ATT(应用追踪透明度) |
| attribution | 归因 |
| banner blindness | 广告疲劳(banner blindness) |
| bid modifiers | 出价修饰符 |
| booking.com | booking.com(品牌名保留原文) |
| Boston Consulting Group | Boston Consulting Group(公司名保留原文) |
| Brent MacArthur | Brent MacArthur(人名保留原文) |
| CAC | CAC(客户获取成本) |
| canary in the coal mine | 煤矿里的金丝雀(早期预警信号) |
| click-through rate | 点击率 |
| cookie-based attribution | 基于 Cookie 的归因 |
| cost per acquisition (CPA) | 获客成本(CPA) |
| CPL | CPL(每条线索成本) |
| creatives | 创意(广告素材) |
| Credit Karma | Credit Karma(品牌名保留原文) |
| D2C | D2C(直接面向消费者) |
| Data Studio | Data Studio(产品名保留原文) |
| Ethan | Ethan(人名保留原文) |
| ETL (extract transfer load) | ETL(抽取-转换-加载) |
| first touch attribution | 首次触达归因 |
| Glassdoor | Glassdoor(平台名保留原文) |
| Grammarly | Grammarly(品牌名保留原文) |
| IDFA (ID for Advertisers) | IDFA(广告主标识符) |
| impressions until conversion | 转化前所需曝光量 |
| Jeff Bezos | Jeff Bezos(人名保留原文) |
| John Wanamaker | John Wanamaker(人名保留原文) |
| landing pages | 着陆页 |
| last click attribution | 末次点击归因 |
| lead generation | 线索获取 |
| lead scoring model | 线索评分模型 |
| lifetime value (LTV) | 客户终身价值(LTV) |
| Liz Georgie | Liz Georgie(人名保留原文) |
| long tail keywords / head keywords | 长尾词 / 头部词 |
| Looker Studio | Looker Studio(产品名保留原文) |
| marketing qualified lead | 营销合格线索 |
| Matthew Dicks | Matthew Dicks(人名保留原文) |
| McKenzie | 麦肯锡 |
| media mix modeling (MMM) | 媒体组合建模(MMM) |
| multi-touch attribution | 多触点归因 |
| net dollar retention | 净收入留存率 |
| Nick Bilton | Nick Bilton(人名保留原文) |
| paid growth | 付费增长 |
| paid search | 付费搜索 |
| paid social | 付费社交 |
| PayScale | PayScale(平台名保留原文) |
| performance marketing | 绩效营销 |
| Phil Knight | Phil Knight(人名保留原文) |
| pitch | 提案 |
| playbook | 方法论/打法手册 |
| POC (point of contact) | 对接人(POC) |
| product market fit | 产品市场契合度 |
| programmatic | 程序化广告 |
| Recast | Recast(产品名保留原文) |
| RFP (Request for Proposal) | RFP(提案请求) |
| ROAS | ROAS(广告支出回报率) |
| sales accepted lead | 销售认可线索 |
| Shoe Dog | Shoe Dog(书名保留原文) |
| Silk Road | Silk Road(平台名保留原文) |
| single source of truth | 单一真实来源 |
| Supermetrics | Supermetrics(产品名保留原文) |
| The Big Short | 大空头(The Big Short) |
| third party cookie deprecation | 第三方 Cookie 淘汰 |
| Thrive Digital | Thrive Digital(公司名保留原文) |
| Thrive Stack | Thrive Stack(产品名保留原文) |
| top of funnel / bottom of funnel | 漏斗顶部 / 漏斗底部 |
| user generated assets / UGC | 用户生成素材 |
| White Lotus | White Lotus(剧名保留原文) |
此文档由 AI 分片翻译(translate_long_document)