Hi everyone, I wanted to share something we’ve been wrestling with for the last few months because I think a lot of teams dealing with cross-market campaigns hit the same wall we did.
We’re a Russian-rooted brand trying to scale in the US, and here’s the frustrating part: our campaign metrics looked solid in Russia—great engagement, solid conversion—but when we ran the same approach stateside, everything felt off. We couldn’t figure out if it was the creative, the audience targeting, the messaging, or just the fundamental differences between how these markets respond to content.
The real problem was that we had no way to properly compare apples to apples. We were using different tracking tools, different KPIs, and honestly, we weren’t even asking the right questions about why things were performing differently.
What changed for us was actually bringing in some US-based experts through our network who could look at the data alongside us. When we started benchmarking side-by-side—same campaign structure, same metrics definitions, same timeline—we immediately saw the gaps. Turns out, our Russian audience cared deeply about brand authenticity and founder story, while our US test group was way more interested in product benefits and social proof. Completely different hooks.
The benchmarking process also forced us to be more rigorous about what we were measuring. Are we tracking revenue per impression? Cost per engaged user? Brand lift? You’d think this would be obvious, but when you’re juggling multiple markets, it’s easy to mix these up and end up comparing nonsense.
What I’m curious about from the community: How are you all handling campaign benchmarking across markets? Are you using a single platform or tool to normalize the data, or do you find it’s more valuable to have local experts interpret results in their market context? And when you’ve found major discrepancies between markets, how did you figure out if it was a market problem or an execution problem?
Это так полезно слышать! Я работаю с брендами на таких кросс-маркетовых проектах постоянно, и вот что я вижу: когда команда медленная в адаптации кампаний под разные рынки, часто виноват именно недостаток локальных инсайтов. У вас была отличная идея привлечь US-экспертов для анализа.
Мне кажется, здесь есть огромная возможность для вашей команды построить постоянный advisory board из инфлюенсеров и маркетологов, которые “живут” в US-маркете. Они помогут вам не только с анализом, но и с адаптацией кампаний еще на этапе планирования. Я знаю несколько замечательных людей в US-коммьюнити, если хочешь, могу вас познакомить.
Спасибо за этот пример—очень структурированный подход. Хочу добавить несколько цифр из нашего опыта в e-commerce.
Когда мы начали массово запускать инфлюенс-кампании в разные регионы, первая проблема была именно в метриках. Мы обнаружили, что даже такое базовое измерение, как CTR (click-through rate), считалось по-разному на разных платформах и в разных странах—из-за разных технологий отслеживания и времени жизни пикселя.
Что реально помогло: мы установили единый набор KPI, который мы считаем одинаково везде. Для нас это:
- Cost Per Engaged User (не просто импрессии)
- Revenue per $1 spent
- Repeat purchase rate (для брендов это важнее, чем первая покупка)
Что касается ваших наблюдений про разницу между “authenticity” и “social proof”—это абсолютно валидное наблюдение. У нас была похожая ситуация: русская аудитория реагирует на персональные истории основателя, US-аудитория хочет видеть рецензии и цифры. Может быть, имеет смысл адаптировать не саму кампанию целиком, а именно story angle?
Какой был конечный ROI разницы?
Спасибо за то, что поделился этой проблемой. У нас в стартапе была точно такая же боль когда мы выходили на европейский рынок.
На самом деле, я даже не уверен, что мы сделали всё правильно, но вот что нас спасло: мы перестали пытаться масштабировать одну кампанию на все рынки и начали думать о том, что каждый рынок—это отдельный эксперимент. Да, это требует больше ресурсов, но результаты лучше.
Одна проблема, которая у нас была—это недостаток данных о том, почему что-то не работает. Ты можешь видеть, что CTR упал на 40%, но это не говорит тебе, поменять ли заголовок, креатив или таргетинг. Хотел бы узнать: как вы решаете эту проблему? Вы делаете A/B тесты для каждого рынка отдельно или есть более быстрый способ?
Great breakdown. This is exactly the kind of structural thinking that separates agencies that scale from ones that don’t.
Here’s what we’ve implemented with our clients: instead of trying to normalize everything through one platform, we built a simple shared dashboard that pulls data from each market’s native tools (as messy as that sounds), but then we define the KPIs once at the top. Everything funnel-based after that point uses the same math.
The real game-changer though? We dedicated one person—call them the “market translator”—whose job is to understand not just the numbers, but the context behind them. Like, why did CPM spike in Q3 in one market but not another? Is it platform algorithm changes? Seasonal behavior? Competitive activity? That layer of interpretation is where most teams fail.
Your insight about authenticity vs. social proof is spot-on, and frankly, it’s a template we now use to brief creators and agencies in different regions. We literally say: “Russian audiences want founder story + transparency. US audiences want social proof + results.” Sounds simple when you write it down, but most brands figure this out way too late.
One question: are you planning to maintain separate creative teams or rotate talent across markets? That could be your next bottleneck.
Oh wow, this is so real! I’ve actually felt this exact tension working with brands that have Russian roots but want to reach US audiences.
From a creator’s perspective, here’s what I’ve noticed: when a brand briefs me on what “worked” in Russia, I can usually tell within 5 seconds of the creative whether it’ll work for US TikTok/Reels. The energy is just different. Russian creators tend to lean into personality much harder—like, the founder’s vibe carries the whole campaign. US audiences want to see what’s in it for them first, then they care about the person behind it.
I’ve had conversations with brands where they’re like “but this creator KILLED it in Moscow,” and I’m thinking “yeah, but that’s because their content is super personality-driven, and that’s just not the same conversion mechanism here.”
One practical thing I’d suggest: when you’re testing new markets, bring in 3-5 local creators early—not to execute the final campaign, but to gut-check your strategy and creative direction. It’s like user testing but with people who actually live in that content ecosystem. We can spot dead angles way faster than any dashboard can.
How did you select which creators/influencers to work with in the US market? That choice alone could explain a lot of your performance delta.
This is solid foundational work. You’re essentially building a comparative analysis framework, which most companies need but few actually execute well.
A couple of strategic thoughts:
First, measurement architecture. Before you can truly benchmark, you need to decide: are you optimizing for top-of-funnel awareness metrics, mid-funnel engagement, or bottom-funnel conversion? Because those require completely different campaign structures and KPIs. If you’re mixing them, your benchmarks are meaningless.
Second, attribution. When you say “our campaign performed better in Russia,” are you capturing the full customer journey? Or just first-click attribution? Because cross-market performance often looks different depending on whether you’re measuring first touch, last touch, or model-based attribution. This is especially important for influencer campaigns, where the contribution can be subtle.
Third, market maturity. US market is typically more saturated for most categories—meaning CPMs are higher, audiences are more skeptical, and you need stronger proof points. Russian market might have lower competitive noise but different consumer trust dynamics. Before you over-optimize to US metrics, make sure you’re not destroying the unit economics that work at scale in Russia.
One concrete recommendation: instead of trying to run the same campaign with different messaging, consider building separate campaign architectures for each market. Yes, it’s more work, but it lets you optimize to the actual mechanics of how each market converts.
What’s your current attribution model, and are you confident it’s capturing the full funnel?