I’ve been trying to understand the real ROI picture when scaling influencer campaigns across US and LATAM markets, and the numbers are messier than I expected.
On the surface, LATAM creators seem more cost-effective—you get comparable engagement rates at 40-50% lower rates than US creators. But when I dig into actual conversions and customer lifetime value, the picture is more complex.
Here’s what I’ve observed: US audiences tend to have higher purchasing power and faster conversion velocity, but LATAM audiences often show stronger long-term loyalty and repeat purchase rates. So a LATAM campaign might look underwhelming in week 2, but by month 2-3, the LTV metrics catch up or sometimes exceed the US benchmark.
The challenge is that most brands measure influencer ROI on a 30-day window, which biases results toward US markets where purchase cycles are faster. If you’re selling a lower-price-point product, this might not matter. But for mid-to-premium products, LATAM ROI needs a longer measurement window to show its true value.
I’ve also noticed that shared performance case studies between US and LATAM creators are rare, which makes it hard to set realistic expectations or even know if you’re benchmarking correctly. Everyone’s measuring different things in different ways.
Has anyone built a systematic way to compare ROI across these markets? Or am I overthinking this and should just accept that direct comparison is apples-to-oranges?
You’re not overthinking this—you’re seeing a real gap in how brands measure influencer performance.
Here’s the problem: ROI frameworks differ by market due to baseline conversion rates, payment methods, and consumer behavior. In Russia/LATAM, repeat purchase rates are often higher than in US because consumer sentiment toward online shopping matured differently. US consumers were earlier adopters, so acquisition costs are higher but loyalty is lower. LATAM came later, so early adopters tend to be more engaged long-term.
For systematic comparison, I track these metrics separately:
- 30-day ROAS (most relevant for impulse/lower-ticket items)
- 90-day LTV (more relevant for mid-ticket and builds customer lifetime value perspective)
- Cost per Acquisition in local currency (normalize for market-specific pricing)
- Repeat purchase rate (key differentiator between markets)
What I’ve built is a matrix where each creator-market combination has expected performance ranges based on historical data. Then we measure against those benchmarks, not against US-only or LATAM-only averages.
One specific insight: Micro-influencers in LATAM often show better 90-day LTV than macro-influencers, whereas in the US it’s sometimes inverted. The audience is just more curated and loyal in LATAM at smaller scale.
The shared case study gap you mentioned? That’s real. Brands don’t share data across markets because they’ve built competitive advantages from market-specific insights. But agencies like us maintain internal benchmarks specifically for this reason.
What product category are you selling? That dramatically affects which time horizon matters.
You’ve identified a real attribution problem. Most brands use last-click attribution or a simple 30-day window, which artificially skews results toward faster-converting markets.
Here’s what we do at my company: Multi-touch attribution with a 90-day window minimum for international campaigns. We model how influencer touch contributes to a purchase, accounting for the fact that consumers rarely convert on the first touchpoint.
For US vs. LATAM specifically:
- US: Shorter consideration cycle, higher CPM, higher price per influencer engagement
- LATAM: Longer consideration cycle, lower CPM, higher community depth per follower
When you normalize for these factors, LATAM ROI often exceeds US benchmarks, especially at the 60+ day mark. But it requires patience and the right measurement infrastructure.
The performance case study gap exists partly because few platforms standardize how influencer ROI is calculated. We’ve built proprietary models that account for channel mix, audience overlap, and platform-specific conversion rates. That data is competitive advantage, so it’s guarded.
My recommendation: Start tracking cohort-based performance. Group creators by tier and market, track their performance over 90 days, and build your own benchmarks. After 3-4 campaigns per cohort, you’ll have statistically significant data that reflects your product, your audience, and your market dynamics.
What attribution model are you currently using? That’s the real lever here.
Real talk: Most brands obsess over ROAS numbers and miss the bigger picture—lifetime value and brand equity building.
Here’s what I tell my clients about US vs. LATAM ROI:
US campaigns are typically optimized for short-term conversion. LATAM campaigns, in my experience, should be optimized for audience relationship building and repeat purchase probability.
That doesn’t mean LATAM ROI is lower—it’s different. A US influencer might drive 50 sales at $100 ROAS in 30 days. A LATAM influencer might drive 30 sales in 30 days but those 30 customers have 3x higher repeat rate over a year.
We’ve started bundling US and LATAM influencer campaigns into blended strategies where US handles top-of-funnel awareness and LATAM handles mid and lower funnel with relationship-first positioning. The combined ROI is better than running them separately.
The measurement framework issue is real though. I’ve pushed clients to implement UTM tracking, promo codes, and direct affiliate links with every creator so we can actually see what’s driving revenue. Anything else is guesswork.
Case studies shared between markets are valuable, but honestly, your own data is worth more. Build a library of performance data from your creators, segment by tier and market, and use that as your benchmark.
What’s your current tracking setup? Are you using promo codes, UTMs, or affiliate links?
This is fascinating because we’re seeing something similar in our expansion. We’re targeting both US and LATAM markets, and the ROI picture is completely different between regions.
What I’m realizing is that product-market fit might be stronger in one region initially, so pure ROI comparison is misleading. We saw weaker initial ROI in LATAM but higher engagement and brand sentiment. Fast-forward six months, and those LATAM customers are our most active.
I think the measurement window is really important. If you’re managing this at a C-level where everyone wants to see results fast, LATAM influencer campaigns will look worse. But if you’re thinking about customer acquisition cost and LTV, LATAM starts winning.
The shared case study thing—I totally get the competitive advantage angle, but I wonder if there’s an opportunity for platforms (or communities like this one) to aggregate anonymized performance data. That would help everyone benchmark better and avoid repeating mistakes.
In our case, we’re testing different creator tiers and measuring everything over 90 days. That’s the only way I’ve found to actually understand what’s working. Monthly reporting feels too short for LATAM markets.
This is why I always tell brands: relationship-first partnerships outperform transaction-first ones, especially in LATAM.
When a brand works with a creator authentically, something magical happens. The creator puts more effort in, their audience senses the authenticity, and results improve. But you can’t measure that in a 30-day window.
I’ve seen brands do campaigns with the same creator for 3-6 months straight. The first month looks okay, month 2 is better, month 3 is significantly better because now the creator’s audience is fully aware of the partnership and trusts it.
The case study gap you mentioned—I think the solution is for platforms and communities to share lessons learned, not raw data. What worked, what didn’t, and why. That helps everyone build better strategies without giving away competitive advantage.
I’d love to see more brands thinking about influencer partnerships as long-term relationships rather than one-off campaign transactions. The ROI difference is substantial.
One more data point—we’ve found that LATAM influencer ROI varies dramatically by sub-region. Brazil, Mexico, and Colombia all have different purchase behaviors and conversion curves. If you’re aggregating ‘LATAM ROI’ as a single metric, you’re losing critical insights.
Brazil tends to have faster conversion cycles but lower repeat rates. Mexico shows moderate cycles with higher loyalty. Colombia and other markets have their own patterns.
So when you’re building benchmarks, segment by country, not just by continent. It changes everything.