GTM Sauce

Pingo AI · B2C · AI language speaking app

Scale winning formats through a pay-per-view creator network; test ideas with core creators

Winning variations get scaled quickly; spend is easy to flex; no numbers

Workedugc-creatorsexperimentation

What they did

Two budgets: in-house creators (base + fixed bonuses, hard to turn off) and Noise creators on a capped CPM (easy to raise or cut). Noise scales what works and tests quickly. Core in-house creators are the testing cohort. Brief: an example video, why it went viral, key steps, 'recreate as close as possible in your target language'. For a never-tried idea, the team films the example first. Not granular A/B testing.

What happened

A recent variation of the crying format went viral for one creator and was scaled across both groups.

In their words

Morrie Schonfeld - How I built a $500k/mo ai app (so you can just copy me)

Play from 35:23

Morrie Schonfeld… value their time, but really like the money is in the bonuses. So like the numbers are like 50,000, 100,000, 200,000, 500,000, and a million views. So we have these set milestones. They're not stacking. So if a creator gets $100 at 100,000 views and $50 at 50,000 views, they don't get 150 when they get to 100,000 views, they get 100. So it's kind of like you earn the highest tier. They don't stack, if that kind of makes sense, plus the base pay.

35:23

Morrie SchonfeldAnd then that way, creators are motivated to make the content cuz they're getting paid for their time, and motivated to go viral. And then on something like Noise that you mentioned, like we talked about this earlier, so we we use Noise for a lot of distribution to scale what really works, and also really quickly test ideas, that's on a CPM model with a cap. So we kind of have these two different spend buckets. We have our in-house program with base pay, fixed tier bonuses that we manage, and we have Noise with their creators, which is CPM post cap.

35:50

Morrie SchonfeldAnd it makes spending interesting cuz we can really easily change our Noise budget, whereas our in-house spend is a lot more fixed because of the way we do it and our creator base, and we can't just like turn it off. And then we use Noise for kind of like scaling what works and really quickly testing, and then with our creators, we have a cohort of creators that we use to test ideas that we know are really good, we know how they make content, …

Morrie Schonfeld… we've gotten really deep into paywall testing recently, and I've gotten granular. But when it comes to content, we'll give them like a brief. We'll say, "All right, here's like an example video." If it's something one creator's made before, like we had a video a format that send recently, like sort of like a modulation of like the mean crying Pingo, but a bit different, one creator did it and went really viral, and we took that and scaled it.

38:52

Morrie SchonfeldAnd so we said, "All right, here's an example, and here's why we think it went viral," kind of like what Noise likes to do. Like, "Here's why it went viral. Here's the key steps to recreate, but recreate this as close as possible in your target language. Like go." That's kind of what we do both in-house and on Noise. And if it's a format that we haven't ever made before, right, we think of like, "Okay, this is a really cool idea that no one's done it," then we'll make an example. Like, "All right, here's like an example. Here's what we're looking for."

39:15

Joseph ChoiThat is unique. I think there's not that many founders who are willing to get that in the weeds and like literally make the videos before their own creators. I've talked to like successful founders who do UGC, and a lot of them actually do say this. It does seem like this is the way to do it. Like are most of the ideas sourced from you, or do your creators come up with ideas and then you actually execute them, and then if it goes well, then you …

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Tags: tiktok, cpm-creators, format-testing, creative-brief, core-creators