I’ve been running influencer campaigns for about three years now, and I keep running into this wall: we’ll launch what feels like an identical campaign across LATAM and the USA, and the results are night and day. Same product, same messaging framework, similar influencer tier—but one market absolutely crushes it while the other barely moves the needle.
Last quarter, we ran a campaign for a consumer tech client with creators in both regions. The LATAM side saw 4.2% engagement, solid conversion tracking. The USA side? 1.8% engagement, and the conversions were scattered across a completely different demographic than we targeted.
I started digging into what actually happened. It wasn’t the translation. It wasn’t the creators’ audiences being too different (though they were). The real issue was that we were treating “influencer performance” like a single variable, when it’s actually three or four variables stacked on top of each other: audience trust dynamics, content format preferences, approval speed, and—honestly—how much the creator actually understood the brand’s positioning in their local market.
When I started working with teams that had bilingual expertise built in, things shifted. Suddenly, we weren’t just briefing a campaign; we were having actual conversations about why a particular angle would or wouldn’t work in that specific market. The LATAM creator would say, “Yeah, this messaging lands with 25-34 year olds, but your real buyers in my region are 35-45.” The USA creator would flag something completely different.
I’m curious if anyone else has hit this wall, and more importantly—how did you fix it? Did you change your briefing process, your creator selection, your approval workflow? Or did you realize you needed someone on the team who actually understood both markets deeply enough to catch these things before launch?
Абсолютно согласна с тем, что ты описываешь! Я вижу это постоянно в работе с партнёрствами. Проблема часто не в самих создателях—это в том, что мы не даём им достаточно контекста о локальном рынке, чтобы они могли адаптировать контент честно.
Я начала проводить предварительные звонки с создателями из разных регионов, где мы не просто кидаем бриф, а обсуждаем: как этот продукт воспринимается локально? Какие боли немного другие? Какие возражения ты слышишь от своей аудитории?
Именно эти разговоры помогли мне собрать супер сильную сеть создателей в обоих регионах, которые действительно понимают свои рынки. Может быть, стоит попробовать такой подход?
Интересное наблюдение. Я проанализировала похожую ситуацию в нашей компании, и данные подтверждают твою гипотезу. Мы посмотрели на 47 кампаний за последний год:
- Кампании с предварительным briefs разговором между командой и создателем: средний engagement 3.8%, конверсия 6.2%
- Кампании с простым переводом briefs: средний engagement 1.9%, конверсия 3.1%
Разница в два раза. Самое интересное—это не время, затраченное на подготовку, а качество инсайтов, которые создатели предоставляли на этапе планирования.
Мой вывод: нужна система для капчи этих инсайтов. Если ты сможешь стандартизировать процесс, в котором создатель делится локальным контекстом до briefs, ты можешь масштабировать это.
У нас был точно такой же кейс, когда мы выходили на американский рынок с российским SaaS. Мы запустили кампанию с американскими создателями, которые рекомендовали нам знакомые в нашей стране. Результаты были жалкими.
Потом я понял—создатели, которые хорошо работают в России, не обязательно понимают, как говорить с американской аудиторией. Нам пришлось начать с нуля искать людей, которые не просто говорят по-английски, но реально живут в США и понимают местный контекст.
Когда мы сделали это, всё изменилось. Первое же изменение—язык в briefs. Мы перестали говорить о «инновациях» и начали говорить о «how it saves time on Fridays» и «getting your weekends back». Совсем другой фрейм.
You’re hitting on something that a lot of agencies get wrong: they think performance differences are about reach or audience overlap. They’re not. It’s about relevance architecture.
We run parallel campaigns constantly, and what I’ve learned is that you need creators who have skin in the game locally. Not just audience size—local credibility. An influencer with 100K followers in LATAM who actually moves product in that region will outperform someone with 500K followers who’s never actually sold in that market.
We overhauled our vetting process last year. Instead of looking at follower count and engagement rate, we started asking: “What have you actually sold in this market? What objections do you hear from your audience that I might not expect?”
Once we started prioritizing that, our USA campaigns lifted by about 40% YoY, and our LATAM side stabilized. The key was admitting that the same creator just doesn’t work the same way everywhere.
OMG yes! I work with brands from multiple regions, and the briefs that actually convert are the ones that give me space to adapt. When a brand sends me the same exact brief as they sent to my counterpart in another region, I can feel that it’s not going to work.
My audience in the US responds to different pain points than creators’ audiences in LATAM. We care about different things. When brands actually ask me what would work instead of just telling me what to say, the content is so much better.
Honestly, I think brands should be working with creators who already have relationships or understanding of both markets if they’re running parallel campaigns. Or at least creators who are willing to have real conversations about what does and doesn’t work locally.
This is a classic case of assuming that channels scale uniformly, which they don’t. We’ve been studying this in our company for about 18 months now.
What we found is that influencer performance is actually a function of message-market fit, not just creator reach. You can have the perfect creator in the wrong market context, and they’ll underperform a smaller creator in the right context every time.
The fix isn’t complicated, but it does require infrastructure: you need someone—or a team—with deep knowledge of both markets to oversee the adaptation. Not translation. Adaptation. Different CTAs, different value props, different examples, sometimes even different creators for different regions, even though they might be the same tier.
The ROI of investing in that infrastructure is significant. We’ve seen 30-50% lift just from getting the brief right before it ever hits the creator.