Analyzing UGC performance across markets—why your US benchmarks don't apply to everywhere

I create UGC content for brands across different markets, and the thing that gets me most frustrated is how often I get briefs that reference US benchmarks like they’re universal. “We want engagement rates like TikTok US benchmarks show, we want 3-5% CTR, we want viral reach.” And then the same brand will ask me to create content for the Russian market and act surprised when the metrics look completely different.

Here’s what I’ve learned from actually making content in different markets: the benchmarks are completely different, and there’s nothing wrong with that. US audiences engage differently. They have different scroll habits. Different trust levels. Different content preferences. If you try to judge Russian UGC by US benchmarks, you’re measuring success wrong, and you’ll make decisions that tank your campaigns.

I started getting serious about this when I was creating content for a global brand. They gave me US benchmarks and asked me to hit them with Russian content. I’d hit 2% engagement (which is actually solid for Russian Instagram), and they’d mark it as a failure because it wasn’t 5%. Then I’d create the same type of content in English, and hit 4%, and they’d celebrate. The content wasn’t different in quality. The audiences were different.

So I started doing my own analysis. I looked at what content actually performs in different markets—not based on benchmarks, but based on real creator data. I tracked not just engagement, but engagement type. Are people commenting? Asking questions? Saving? Sharing? Different markets have different engagement patterns.

What I found: US audiences engage a lot, but with a lot of noise. Russian audiences engage less on the surface, but their engagement is more intent-driven. They save things they want to actually use; they comment to give feedback, not just to socialize. engagement quality is different, not just quantity.

I now ask brands upfront: Do you want engagement volume or engagement quality? And then I use the appropriate benchmarks for that market. If you’re building brand awareness in the US, yeah, hit for reach and surface-level engagement. But if you’re trying to drive conversions in Russia, 2% real engagement might be worth more than 5% clicky engagement.

The platform’s insights on US-based benchmarks have helped me see these patterns more clearly, and I’m way better at explaining to brands why their Russian UGC performer looks “weak” by US standards but is actually crushing it by local standards.

Does anyone else work with UGC across markets and see these differences? Or am I just overthinking the metrics?

Ты описала очень точную проблему, и я благодарна за детализацию. Твое наблюдение про то, что русская аудитория сохраняет и комментирует с большей целью, чем US аудитория—это верно, и это отражается в данных, если знать, куда смотреть.

Вопрос от аналитика: когда ты смотришь на эти разные типы engagement, ты отслеживаешь их downstream impact? Типа, свидетельствуют ли спасённые посты (save) в русском контексте о лучшей конверсии, чем лайки и комменты в US контексте? Потому что это было бы данных-опубликованного доказательством твоего наблюдения.

И второе: ты упомянула, что используешь платформу с insights о US бенчмарках. Это существенно помогает тебе быстрее видеть локальные паттерны, или это всё равно требует ручного анализа?

Спасибо за такой честный рассказ! Я часто вижу ровно эту проблему со стороны партнерств—бренды нанимают русских креаторов, ставят им американские метрики-цели, и потом удивляются, почему это не работает.

Твое разделение между volume и quality engagement—это ключевая идея, которую бренды должны понимать перед тем, как запустить кампанию. Я начинаю рекомендовать креаторам и брендам делать это разговор явным: “Мы хотим X, что означает, что бенчмарки будут Y.”

Вопрос: была ли у тебя ситуация, когда ты объяснила бренду эти различия и они так и не согласились? Или обычно, когда данные четко показывают эту разницу, они готовы слушать?

You’ve identified a real phenomenon—cross-market engagement quality variance—but I want to dig into your data a bit. You said Russian audiences comment “to give feedback” while US audiences comment “to socialize.” That’s a behavioral claim. Did you actually analyze the content of comments to classify them, or are you inferring from comment volume?

I ask because this matters tactically. If Russian audiences are truly more intent-driven, that should show up in downstream metrics—share-to-conversion rate, return visit rate, account follow-through. Did you track that? Because “3% engagement in Russia is better than 5% in the US” is only defensible if you can show it moves business metrics differently.

Second: when you present benchmarks to brands, do you normalize for follower count? A creator with 50K followers will always have different engagement rates than one with 500K, and that varies by market algorithm too.

Спасибо за этот разбор. Я выхожу на европейские рынки, и я столкнулся с похожей проблемой—я смотрю на метрики русских кампаний как на baseline и тогда в других странах кажется, что всё работает хуже. Твой анализ quality vs volume—это важное различие, которое я не делал.

Один вопрос: когда ты начала анализировать качество engagement в разных рынках, это был спонтанный процесс (просто глядела на данные) или ты целенаправленно разработала метрику для этого? Потому что я не уверен, как даже систематизировать идею “quality engagement”—как её измерить?

Thank you for validating this. As a creator, I feel this so much—when a brand briefs me with US benchmarks and I’m creating for a different market, I know the metrics are going to look different, and I hate having to be defensive about that. It’s not because my content is bad; it’s because the audience behaves differently.

One thing I’ll add: I’ve noticed that when I create for Russian audiences, they follow through more. They save my content, they come back, they actually engage with my other posts. US engagement can feel more like drive-by interaction. So yes, it’s lower volume, but it’s stickier. That matters if you care about building a real community, not just a viral moment.

I wish more brands understood that before they hired creators. This is something I’m trying to educate about in my own pitches now.

This is a nuanced take, and I think you’re onto something real. But here’s where I’d push back slightly: US benchmarks aren’t universal across the US either. TikTok US benchmarks are nothing like Instagram US benchmarks, and both are different from Twitter. Saying “US benchmarks don’t apply everywhere” is true, but the real problem is that “US benchmarks” is already a lumped-together fiction.

When I advise creators, I break it down much more granularly: platform, content type, account size, and market. Then you look at benchmarks. But I think what you’re teaching—that markets have genuinely different engagement profiles—is valuable and often missed. Have you considered documenting this as a framework that brands could use to self-correct their expectations?