I rebuilt how we compare UGC campaign results between Russia and US—here's what broke and what finally worked

Кейсы и истории успеха
1

We’ve been running UGC campaigns across both markets for about two years, and I’ve learned the hard way that you can’t just copy-paste the same campaign playbook and expect the same results. Last year, we had a campaign that crushed it in the Russian market but completely flopped in the US with almost identical creative and messaging. I needed to figure out why.

My first instinct was to blame the creators. Maybe the US creators weren’t as good, or the audience just didn’t like the product. But when I actually parsed the data, I realised the problem was much simpler: I wasn’t measuring success the same way in both markets.

In Russia, we were tracking engagement—comments, likes, shares. Very visible. In the US, I was more focused on CTR and conversion-adjacent metrics. We were basically comparing two entirely different things and acting surprised when the numbers didn’t align.

So I spent about a month going back through every single UGC campaign we’d run—probably 40+ different ones across both markets. I documented everything: the brief, the creators involved, the content style, the metrics we used, and what actually happened business-wise.

Then I looked for patterns. And there they were.

First pattern: Russian audiences respond more to authenticity and relatability. The UGC creators who performed best weren’t necessarily the “perfect” ones—they were the ones who felt real, who acknowledged the product wasn’t perfect, who actually used it. US audiences seemed to care more about polish and credibility signaling.

Second pattern: content format totally mattered differently in each market. In Russia, longer-form video with more context performed better. US audiences wanted quick, punchy hooks. This isn’t rocket science, but when you’re trying to run unified campaigns, you miss these nuances.

Third pattern—and this was the kicker—the definition of “success” needed to be different. In Russia, I was satisfied with high engagement. But in the US market, even if engagement was decent, if the post didn’t drive traffic to the product page, I was calling it a failure. Two totally different success frameworks, and I was forcing them into one metric.

Now here’s what I changed: I built two separate but parallel frames for measuring UGC success. Not totally different playbooks—just adjusted metrics and evaluation criteria for each market. For Russia, I weight engagement and authenticity heavily. For US, I weight conversion signals and audience trust indicators. But I’m comparing impact against the right benchmarks for each market, not trying to make them equal.

The second thing I did was get way more structured about how I brief creators. Before sending a brief, I now include context about what success looks like in that specific market. “In the US, we’re looking for a 3-5% CTR, and the content should feel polished but still authentic.” versus “In Russia, we’re looking for high engagement and real usage stories.”

Third, I stopped updating campaign strategy mid-flight. I was constantly tweaking based on early metrics, which meant I couldn’t actually compare anything coherently. Now I let campaigns run their course, document everything clearly, and then adjust for the next cycle.

I know this sounds obvious in retrospect, but I’m genuinely curious: how many of you are running into the same trap of trying to make two markets fit one framework? And have you come up with a better way to structure this?

Also: am I overthinking this, or do you legitimately have to operate two separate systems to make sense of cross-market UGC results?

2

Это супер-актуально для меня потому что я как раз координирую UGC-кампании с креаторами из обеих стран. И да, я видела то же самое—русские креаторы делают контент совсем по-другому, чем американские, и это не плохо или хорошо, это просто другие норм.

Мне нравится идея добавить контекст в бриф. Я начну это делать в следующей волне кампаний. Может быть, даже проведу вебинар в комьюнити, где мы обсудим эти марк-специфичные нормы? Было бы полезно всем, кто работает с обеими сторонами.

3

Кейс про 40+ кампаний—это золото. Я часто вижу, что бренды не документируют достаточно, поэтому теряют контекст. Ты когда-нибудь пытался выделить, какие элементы контента (например, длина видео, тон голоса, number of pain points mentioned) коррелируют с лучшим performance в каждому рынке?

Потому что если ты сможешь изолировать эти переменные, ты сможешь предсказать, что сработает, раньше чем запустить кампанию. Это было бы намного мощнее, чем просто “русский рынок предпочитает authentic”.

4

Твой подход к разделению метрик по рынкам—это правильно, но я бы пошла ещё дальше. Вместо того чтобы просто иметь разные целевые числа, я бы выстроила отдельную модель атрибуции для каждого рынка. То есть, в России твоя модель может быть: engagement → return visits → purchase. В США: link click → platform visit → purchase. Разные пути, разные временные рамки.

Желаешь, я покажу пример модели?

5

Вторая мысль: CTR в 3-5% в США—это для какой категории продукта? Потому что для SaaS это нормально, а для e-commerce это может быть низко. Ты парамтеризуешь целевые метрики по vertical, или у тебя одна система для всех?

6

I’ve dealt with this exact issue across my portfolio. The mistake most agencies make is trying to scale by replication instead of adaptation. You’re doing the right thing by building separate frameworks.

Here’s what I’d add: once you have these parallel systems working, you can actually spot arbitrage opportunities. Like, if a content format that works in Russia hasn’t been tried in the US yet, you have a testing ground. Or if a creator type performs unexpectedly well in one market, you can look for similar profiles in the other.

It’s not two systems forever—it’s two systems that eventually inform a more sophisticated unified model. But you’re right to start here.

7

This is honestly refreshing to read because so many brands just send the same brief to creators in both countries and expect the same output. I’m US-based, and when I get a brief that feels like it was written for a Russian audience, I feel like I have to translate it just to understand what they actually want.

Your point about authenticity vs polish is interesting because it’s not really about countries—it’s about what audiences expect. US audiences are trained to expect high production value, so when content feels too “real,” they sometimes assume it’s not professional. Russian audiences seem cooler with the authentic messy version.

I appreciate you putting that in the brief because now I know what to optimize for instead of guessing. Do you want me to tell you if a brief seems off, or should I just execute what’s written?

8

Also: your note about not tweaking mid-campaign is smart discipline. But how do you balance that with real-time optimization? Like, if engagement is tanking on day two, do you just let it fail, or do you have a protocol for intervention?