I’ve been thinking about ROI measurement a lot lately, especially after we tried to scale a really successful LATAM influencer campaign into the US market and everything got messy with how we tracked success.
The campaign itself was solid—UGC creators in Mexico had built authentic content around a beauty product, posted strong engagement, and the brand saw real sales lift. So we thought: let’s run the same framework in the US, different creators, same brief structure.
But here’s where it broke down: what counted as a “successful” influencer post in LATAM was totally different from what mattered in the US. In LATAM, we were measuring engagement rate, follower loyalty, and DM conversations—basically, community signals. In the US, the brand suddenly cared about click-through rates and conversion velocity. Different audience behavior, different platforms, different expectations.
We ended up spending two weeks aligning on what metrics we’d actually use to compare success across markets. It’s not that the US metrics are “better”—they’re just different. LATAM audiences engage differently. They comment more, they ask questions, they build relationships with creators. US audiences click faster but sometimes convert slower. LATAM audiences might scroll past but come back three days later and actually buy.
So now when we’re briefing creators for cross-market campaigns, we’re building different success benchmarks into each regional brief. We’re tracking the same KPIs (brand mentions, sentiment, sales attribution) but we’re honest about how the customer journey looks different in each region.
Has anyone else run into the challenge of trying to use the same metrics across different markets? How do you actually justify different benchmarks to stakeholders who want uniform success?
Вы описали реальную боль многих маркетологов. Единие метрики для разных регионов—это иллюзия. Я работаю с данными из четырёх стран одновременно, и вот что я заметила:
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Engagement rate в LATAM может быть в 2-3 раза выше, чем в США, но это не значит, что кампания более успешна. Это просто другой тип аудитории.
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Атрибуция продаж в разных странах работает по-разному. В России и LATAM люди часто переходят через Telegram или WhatsApp, что может не отслеживаться в стандартном пикселе. В США это обычно прямой переход с Instagram.
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Cost per conversion должна быть вашей главной метрикой. Если LATAM показывает 40% ROI, а США 35%, но вы тратите в 3 раза больше на запуск в США—это не успех, это деньги вниз по ветру.
Мой совет: создайте матрицу с регионально-специфичными бенчмарками, но один универсальный KPI—ROAS или LTV. Остальное—это детали для понимания, почему метрика выглядит именно так.
This is exactly why we built custom dashboards for every market we operate in. The moment you try to force uniform benchmarks across regions, you start making bad decisions.
We work with a handful of brands doing LATAM-US expansion, and here’s the pattern: US clients are obsessed with conversion and ROAS day-one. LATAM clients understand that awareness builds differently—people need to see you three times before they trust you enough to buy.
For cross-market campaigns, we always split the brief into two parts: universal (brand voice, core messaging, product truth) and localized (creator persona, platform strategy, success metrics). Then we tie everything back to revenue, because that’s the only metric that actually matters to the CFO.
The key is transparency with your stakeholders upfront. Show them why the benchmarks are different. Give them historical data from similar campaigns. If you don’t do this, they’ll start second-guessing your LATAM team because numbers look different from the US.
The challenge you’re describing is exactly what I deal with managing multi-market DTC campaigns. Here’s my framework:
Tier 1 Metrics (Universal): These should always be measured the same way across all markets. For us, it’s ROAS, CAC, and payback period. Non-negotiable.
Tier 2 Metrics (Market-Specific): CTR, engagement rate, conversion rate—these absolutely vary by region, and you need to set independent benchmarks. I’ve found that best practice is to look at historical data from that specific market and use it as your baseline, not comparisons to other regions.
Tier 3 Metrics (Campaign-Specific): Brand lift, sentiment, reach—these are directional and help you understand what’s working culturally, but they shouldn’t drive go/no-go decisions.
The mistake most teams make is mixing Tier 1 and Tier 2. When you do that, your US team looks like they’re outperforming on engagement but underperforming on ROI, and suddenly you’re making budget decisions based on incomplete information.
Two recommendations: (1) Lock down your Tier 1 metrics with stakeholders before you launch anything. (2) Build a monthly reporting cadence where you specifically call out why Tier 2 metrics differ, with historical context. Takes the mystery out of it.
One more thing—be careful about attribution models. If you’re using last-click attribution in the US but Instagram insights (which is heavily influenced by early touches) in LATAM, your ROI calculations will be backwards. We use a 40-30-20-10 model across all regions now (40% last click, 30% second-to-last, etc.). It’s not perfect, but it’s consistent and defensible.