We’ve been building out creator rosters across both LATAM and the US for the last year-plus, and I’ve noticed something that doesn’t get talked about enough: the reasons campaigns fail because of “bad creator picks” are almost opposite in these two markets.
In the US, the failure usually comes from misreading audience alignment. You find a creator with the right follower count and aesthetic, but their actual audience doesn’t match your target demographic. The creator might look perfect on paper, but their followers are different ages, interests, purchasing power than your brand’s sweet spot. It happens constantly. You see a beauty influencer with 200k followers and assume they’re a fit, then their audience is mostly Gen Z and you’re selling to millennial parents.
In LATAM, I’ve watched the failure pattern be almost the reverse. The audience alignment is usually fine, but the authenticity disconnect kills campaigns. LATAM audiences are incredibly sensitive to whether a creator actually believes in what they’re posting. If you bring a creator in for a one-off deal and they’ve never interacted with your brand ecosystem before, it shows immediately. Audiences can feel when it’s transactional. Plus, there’s this layer of cultural code-switching that matters more than in the US—a creator might post authentically for her community all week, but the second a brand brief comes through, the tone shifts. The followers notice.
So our sourcing process now has two separate pressure tests: For US creators, we dig into audience demographics and engagement patterns before we even pitch. For LATAM creators, we’re looking for existing brand affinity or at least audience overlap with complementary brands they’ve worked with. We also build in longer relationship windows. We’re not expecting to do one-off deals; we’re looking for creators who can grow into advocates over multiple campaigns.
It sounds small, but it’s changed our selection hit rate significantly. The US side is now about audience-first filtering. The LATAM side is about building real relationships first, testing brand fit second.
Have you run into these same friction points, or is your creator sourcing hitting different bottlenecks?
Интересная гипотеза, но я хочу видеть данные по разбивке. Вы сравнивали метрики кампаний, где вы использовали подход «аудитория первая» для США против «отношение первое» для ЛАТАМ? Я говорю о: конверсии, стоимости за покупку, показателях вовлечённости, скорости выполнения кампании и, что важно, текучести—сколько из этих ЛАТАМ креаторов действительно вернулось во вторую кампанию? Потому что да, логика имеет смысл, но это может быть просто смещение выбора. Если вам нужны долгосрочные отношения в ЛАТАМ, может быть вы отбираете более профессиональных, давно работающих креаторов с самого начала, что независимо от подхода уменьшит количество ошибок.
Это помогает мне понять нашу ситуацию в Европе. У нас было похоже—местные креаторы здесь очень чувствительны к корпоративной «поддельности». Когда мы выходили на немецких микро-инфлюенсеров, сначала пытались работать как с США: быстрые контракты, разовые посты. Провал. Переключился на подход, где мы находимся в сообществе 3-4 месяца, даём им бесплатный доступ, смотрим, насколько они любят продукт. Только потом предлагаем палатьу. Результат совсем другой. Теперь каждый третий из этих креаторов просит вернуться для следующей кампании.
This hits different for me as a creator. The one-off brand deal model? It feels gross. I don’t post it with the same energy as content I actually care about, and my followers know. They comment like ‘oh is this a spon?’ and the engagement just dies. When a brand actually lets me get to know them first, use the product, chat with the team—that’s when I can post something that feels real. I’ve turned down bigger payments for one-off deals just because I didn’t want that cognitive dissonance. The relationship-first approach for LATAM isn’t just better for metrics; it’s actually better to work on.
Good framework. Operationally, I’d build a tiered sourcing model: Tier 1 (USA-focused): demographic + psychographic + engagement quality filtering. Tier 2 (LATAM-focused): relationship track record + category affinity + audience sentiment analysis. Then measure: conversion per creator by tier, repeat rate, cost per acquisition of repeat agreements. You’ll quickly see which tier generates better ROI and can allocate scouting resources accordingly. Also—and this is critical—standardize the relationship onboarding for LATAM so it’s scalable. Write down exactly what ‘relationship-first’ looks like operationally so it’s repeatable, not dependent on one person’s network-building skills.