Hey everyone. I’ve been thinking about how to share this without sounding like I’m bragging, but I think the breakdown itself is more valuable than the result.
So here’s the thing: I spent the last few months working with a Russian UGC creator team to build what turned into a legitimate cross-market case study. And I realized halfway through that the reason it worked wasn’t because we had some magic formula—it was because we documented everything in a way that actually made sense to both our US stakeholders and the Russian partners.
Let me walk you through the structure:
The Task (or “Why We Started This”):
We had a DTC beauty brand with solid traction in the US, but we were struggling to understand how to adapt our UGC strategy for Russian audiences. We didn’t just want to translate—we needed to figure out if our content angles even worked in that market. So the goal was: test 3 different UGC creators from Russia, measure which content hooks performed best, and use those learnings to decide if we should scale.
The Actions (“How We Actually Did It”):
- Week 1-2: Briefed the creators in detail. But here’s the part that mattered—we didn’t just send them a deck. We had actual conversations (through a translator, yes) about why certain angles worked in the US. This took longer, but it saved us from the typical localization disaster where creators just translate your brief.
- Week 3-6: They produced 15 UGC videos. We tested them with Russian audiences using a small media buy. Simultaneously, we took the top performers and A/B tested them with US audiences to see if the appeal was universal or market-specific.
- Week 7: We analyzed everything—engagement rates, swipe-up data, cost per acquisition, viewer sentiment (we manually tagged comments in both languages).
The Results:
This is where it gets interesting. With US audiences, our typical UGC CAC was around $18. The Russian-created content that performed best in Russia also worked better in the US than our in-house content—we got CAC down to $14. But the content that flopped in Russia? It didn’t automatically flop in the US. We found three videos that performed terribly with Russian testers but crushed it with US audiences.
What actually moved the needle: the authenticity of creators who understood their own market. We weren’t paying for “generic” UGC; we were paying for insight.
Why I’m Sharing This:
I think a lot of us assume that cross-market success stories are either “we tried and it worked” or “we tried and it failed.” But the real value is in the middle—understanding where your assumptions were wrong and using that to build something better.
We’ve started using this task-action-result framework for every collab now. It forces you to be honest about what you were trying to learn, not just what you were trying to sell.
My question for you: when you’re collaborating with creators across different markets, how do you decide what to measure? Are you looking at the same KPIs, or do you adjust them based on what success actually means in each region?
Mark, это так ценно! Я сейчас как раз работаю над тем, чтобы на платформе было больше реальных примеров такого рода сотрудничества. У тебя есть контакты этих русских креаторов, которые работали с тобой? Я хотела бы пригласить их в наше сообщество поделиться своей стороной истории. Мне кажется, что перспектива создателя из России очень отличается от перспективы бренда, и было бы здорово услышать их take на то, что сработало и что было сложно.
Также я заметила, что ты написал про разговоры через переводчика. Это реально изменило результат? Я типа всегда думала, что креаторы сами разберутся с бриефом, но может быть, стоит предложить брендам более структурированный процесс онбординга?
Еще один вопрос: ты готов воркшоп провести по этому кейсу для нашего сообщества? Я типа вижу, что многие люди здесь и из России, и из США, и если ты разберешь этот случай пошагово, это действительно может помочь людям понять, как правильно строить кросс-маркетные коллабы.
Mark, спасибо за цифры. Вопрос: когда ты говоришь о CAC $14 vs $18, это включает стоимость самого контента (платежи креаторам) или только медиа-бай? И как ты считал LTV? Потому что я часто вижу, что американские кампании с иностранным контентом дают хороший первоначальный CAC, но потом repeat-purchase rate падает, потому что контент не резонирует с долгосрочной позицией бренда.
Также интересно: ты сказал, что некоторый контент “флопал в России но крушил в США”. Можешь привести пример? Это было связано с культурными различиями или просто с разницей в демографии платформы?
И еще одно: 15 видео—это выборка, которая позволила тебе сделать статистически значимые выводы? Потому что в моем опыте нужно как минимум 20-30 вариантов, чтобы увидеть реальные тренды, не случайный шум. Как ты подошел к вопросу размера выборки?
Mark, спасибо за этот разбор. Я сейчас как раз готовлю нашу первую кросс-маркетную кампанию (мы из России, выходим в Европу), и твоя структура “задачи—действия—результаты” это именно то, что мне нужно было увидеть.
Есть ли у тебя какой-то шаблон или гайд, который ты использовал для того, чтобы структурировать этот процесс? Особенно интересно—как ты управлял коммуникацией между командой в США, креаторами в России и, я предполагаю, медиа-агентством? Потому что в многослойной операции очень легко потерять информацию.
This is exactly the kind of case study that separates the strategists from the order-takers in this space. What I’m hearing is that you didn’t just outsource content creation—you actually invested in understanding the creator’s market perspective first, and that informed everything downstream.
Question though: you mentioned testing with Russian audiences on a small media buy. Was this Facebook/Instagram paid testing, or did you have access to Russian platforms like VK or TikTok RU? Because the behavior is completely different, and I’m wondering if your findings would hold up on platforms where US creators basically don’t operate.
Also, the fact that Russian-created content outperformed your in-house stuff with US audiences—I’m assuming this wasn’t random. Did you analyze what made it work? Was it shooting style, authenticity, copy angle, or something else entirely?
For agencies reading this: this is the model we should be pushing. Too many brands still think they can just translate creative and call it a day. Mark actually invested in learning, not just executing. That’s the difference between a $40k campaign that mediocrely works and a $40k campaign that becomes a repeatable system.
Also wanted to say: the fact that you measured sentiment in comments in both languages is actually genius. Most brands literally don’t do this. They just look at engagement rates and wonder why high engagement sometimes doesn’t convert. But we creators feel the difference between “wow I need this” engagement and “haha this is funny” engagement, and those are not the same. Respect for the rigor here.
Solid breakdown, Mark. I appreciate the transparency on the actual numbers and the process.
One thing I’d push back on slightly: you mentioned the Russian content outperformed in the US market, but I’d want to see the variance and statistical significance before I’d call that a reliable finding. If you’re running small test budgets, there’s usually enough noise to make a $4 CAC difference unreliable across scaled spend.
That said, your real insight here isn’t the CAC number—it’s the process. You built a learning loop instead of a one-off test. That’s the model. The fact that you had conversations with creators about market dynamics, tested assumptions separately, and allowed your findings to contradict initial beliefs—that’s how you actually build repeatable strategy.
Have you thought about standardizing this for other market pairs? Like, could you run this same framework for US→EU or US→APAC, or does it need to be calibrated for each region?