Designing LATAM and US campaigns with different ROI metrics—how do you actually measure what matters?

Creator Central: For Influencers & UGC Makers
1

I’ve been running campaigns in both the US and LATAM, and I keep hitting a wall: the metrics that look successful in one market completely tank in the other, and I can’t figure out if it’s a performance problem or a measurement problem.

Like, a campaign in Mexico might show 8% engagement rate with tons of comments, brand mentions, and community conversation—and by US standards, that’s phenomenal. But when we compare it to a US campaign with 3% engagement that drove 2x the add-to-cart clicks, suddenly the LATAM campaign looks weak on the business side.

I started realizing that engagement in LATAM is different. There’s more conversation, more comments, more back-and-forth. In the US, people engage differently—more saves, more shares, less comment depth. It’s a cultural and platform behavior difference, not a quality difference.

The real problem: I was using the same ROI framework for both markets. But ROI should be anchored to what actually moves business outcomes in each market. In LATAM, trust and community matter more—so maybe I should weight word-of-mouth signals and repeat engagement higher. In the US, conversion funnels are cleaner, so last-click attribution works better.

I started designing campaigns specifically around regional benchmarks. Different creative approaches, different KPI targets, different measurement frameworks. But now I’m second-guessing myself—am I just making excuses for lower conversion numbers, or is this actually the right approach?

How are you designing and measuring ROI for campaigns across both regions? Are you using the same KPIs or adjusting by market? And how do you know you’re actually measuring something that matters for your business?

2

You’ve identified the core problem. Most brands fail at cross-market ROI because they don’t decompose what “ROI” actually means in each market.

Here’s the framework I use: Define business outcome → Identify regional path to outcome → Map metrics to that path → Benchmark.

Example: A fashion brand’s business outcome is repeat purchase. In the US, the path is short: influencer post → landing page → purchase. Metrics: CTR, conversion rate, customer acquisition cost, repeat purchase rate.

In LATAM, the path is longer: influencer post → community discussion → brand search → in-store research → repeat visits → purchase. Metrics: engagement depth, brand lift, store traffic, repeat visits.

These require different measurement. US = focus on conversion funnel efficiency. LATAM = focus on trust signals and path extension.

What I do: I run baseline A/B tests in both markets for the same product. I measure identical KPIs: conversion rate, CAC, repeat purchase, and customer sentiment. Then I compare results. The LATAM campaign might have higher CAC but better repeat purchase rate (lower churn). The US campaign might have lower CAC but higher first-time customer churn.

Then I optimize each campaign for its market’s strength. LATAM: focus on retention, community building, long-term value. US: focus on conversion efficiency, funnel optimization.

The key: don’t compare campaigns head-to-head using the same metrics. Compare them against regional benchmarks. LATAM engagement of 8% might be exceeding market benchmark by 40%. US engagement of 3% might be below market benchmark. Context changes everything.

3

This is such a real problem, and honestly, I see brands get frustrated and quit LATAM campaigns too early because they’re measuring wrong.

From a partnership side, I’ve learned that LATAM campaigns need different success metrics because the audience relationship is different. In LATAM, influencers are trusted friends. People care about what their influencer thinks, and they talk about it. In the US, influencers are content creators. People enjoy the content and maybe buy because of it.

This means your ROI measurement has to reflect how differently people engage with recommendations. In LATAM, measure: creator engagement, audience sentiment shift toward brand, repeat mentions, community conversations initiated. These predict sales, even if they’re not direct conversions.

In the US, measure: direct conversions, click-through, immediate actions. Faster to see ROI, but less predictive of long-term brand equity.

My advice: design your campaign with the market dynamic in mind. For LATAM, invest in creator partnerships where they can authentically integrate your brand over multiple posts. For US, invest in clear conversion-focused content. Different approaches, different measurement.

And honestly? I’d rather see a brand do 2-3 great LATAM partnerships and measure them correctly than do 10 mediocre ones and demand US-style ROI metrics. The relationship approach needs time to show results.

4

This is a classic cross-market strategy problem. The solution requires decomposing your business funnel by market.

We model it like this: We identify the conversion path by market. Then we assign KPIs at each stage. Then we calculate incremental value at each stage.

US Model:
Awareness → Consideration → Conversion → Retention
Metrics: Reach, CTR, Conversion Rate, Repeat Purchase Rate
Ratio: 60% of ROI comes from conversion, 40% from retention

LATAM Model:
Awareness → Trust Building → Consideration → Conversion → Advocacy
Metrics: Reach, Sentiment Shift, Brand Search Lift, Conversion, Word-of-Mouth
Ratio: 40% of ROI from conversion, 60% from trust + advocacy

These generate different campaign designs. US needs frictionless conversion, so we invest in landing page optimization, clear CTAs, tracking pixels. LATAM needs trust accumulation, so we invest in multiple touchpoints, creator authenticity, community engagement.

Measurement framework: We benchmark each stage against market norms. If your LATAM trust-building metrics are better than category average, that’s a positive signal even if conversion is lower. If your US conversion rate is worse than average, that’s a real problem regardless of engagement numbers.

The formula: For each market, calculate the incremental business value of each metric. Weight them accordingly. Then your overall ROI is weighted differently by market.

This takes more work upfront, but it eliminates the comparison trap. You’re not comparing LATAM to US. You’re comparing LATAM to LATAM benchmarks and US to US benchmarks. Then you optimize each market separately.

5

From a creator side, I can tell you there’s a massive difference in how audiences buy across regions, and it affects what metrics should actually matter.

When I partner with US brands, they want direct conversions. They send tracking codes, ask me to post a specific discount. Clear metric: click-through and code redemptions.

When LATAM brands work with me, they’re less focused on immediate sales and more invested in whether my audience trusts the brand. They measure: Do people ask me more about the brand? Do they mention it in comments? Do they come back asking where to buy?

These are legitimately different buying behaviors, and the creators who succeed in each market are the ones who understand this and adapt. In the US, I make it easy to buy. Perfect link, clear CTA, tracking setup. In LATAM, I focus on naturally integrating the brand into my storytelling.

Maybe the issue is that your ROI metrics don’t match how people actually shop in each market? In the US, it’s more impulse-driven. In LATAM, it’s more trust-driven. Measure accordingly, and you’ll probably see results look much better.

6

We struggled with this massively scaling from Russia to the US, and now expanding to LATAM. The metrics problem was killing us until we separated campaign design from campaign measurement.

For each market, we now define: What’s the actual business outcome we care about? For Russia, it was customer lifetime value. For US, it was customer acquisition cost. For LATAM, it’s starting to look like repeat purchase rate.

Then we design campaigns optimized for that outcome, and we measure accordingly. This removes the mental trap of comparing metrics—you’re not comparing. You’re measuring what matters in each market.

Our latest approach: run small test campaigns in each new market first. 3-4 influencers, measure everything for 30 days. This gives us the baseline data to understand what metrics correlate with business outcomes in that specific market. Then we scale with confidence.

For LATAM specifically, we’re finding that engagement metrics are less predictive than audience demographic match to our target customer. A smaller but more aligned audience converts better than a huge disengaged one. So we’re shifting our creator selection and measurement to weight audience quality over engagement numbers.

Are you doing any baseline studies to understand the relationship between your metrics and actual business outcomes by market?