Calculating ROI across markets: how do you standardize metrics when campaigns span Russia and the US?

Hey everyone, I’m wrestling with a problem that I think a lot of us face, especially those working with brands that operate in both Russian and American markets.

We’re running influencer campaigns in both regions, but when it comes time to measure ROI, everything falls apart. The metrics don’t line up. Cost structures are different, audience behaviors vary wildly, and benchmarks seem completely disconnected. I end up with spreadsheets that don’t talk to each other.

Last quarter, I had two campaigns—one with Russian micro-influencers, one with US creators. On paper, they looked mediocre. But when I tried to compare them side-by-side? Impossible. Different conversion funnels, different pricing models, different attribution windows. I was essentially comparing apples to oranges, and my CEO knew it.

I’ve been thinking about this: how do other people handle standardizing metrics across such different markets? Do you normalize everything to a single currency and call it a day? Do you track separate KPIs per region? Or is there some framework that actually makes cross-market comparison meaningful?

I’m particularly curious about how you handle benchmarking when the markets have fundamentally different cost-per-engagement or typical influencer rates. Would love to hear about specific approaches that have worked for you.

This is exactly the right question to be asking. I deal with this constantly in my e-commerce role, and honestly, the problem isn’t as unsolvable as it feels.

Here’s what I’ve learned: standardization starts with unified metric definitions, not unified numbers. Don’t try to force rubles and dollars into the same bucket—that’s a trap. Instead, define what “conversion” means consistently across both markets, what “engagement” means, what “reach” means. Then calculate your KPIs independently per region.

The magic happens when you track everything in relative terms: X% uplift, Y ROI coefficient, Z cost-per-acquisition as a multiple of baseline. That’s comparable. A 250% ROI in Russia becomes apples-to-apples with a 180% ROI in the US because you’re both speaking the language of performance relative to regional norms.

Specific tactic: I use a dashboard that pulls raw data from both markets, then normalizes everything against regional benchmarks. So a micro-influencer post that gets 5% engagement in Russia is contextualized against typical Russian micro-influencer performance. Same for US. Then I can actually compare tier-for-tier performance.

The hardest part? Getting the baseline benchmarks right. You need historical data or industry benchmarks to anchor against. Once you have that, everything else is just division and percentages.

One more thing—make sure you’re tracking attribution identically across both regions. If your US funnel uses last-click attribution and your Russian funnel uses multi-touch, your ROI numbers are lies. Standardize the attribution logic first, then worry about cross-market comparison. Sometimes that means being slightly less accurate in one market to be consistently accurate across both.

Oh, I love this question because it touches on something I see happening a lot in the influencer partnerships we broker. The good news? Once you solve this, it becomes a huge competitive advantage.

From the partnership side, I’d add: when you’re negotiating with influencers or agencies in Russia versus the US, you’re already dealing with different expectations and metrics. Russian creators often focus on engagement rates and audience quality in ways that US creators might not emphasize the same way. So part of standardization is also having clear conversations upfront about what success looks like in each region.

I’ve found that when both sides agree on a normalized reporting framework before the campaign starts, execution becomes smoother. It’s not just about the numbers afterward—it’s about aligning expectations from day one.

We’re dealing with exactly this as we expand from Russia into European markets. The frustration is real.

What helped us: we stopped trying to create one global dashboard and instead built a system where each regional team reports their metrics in a standardized format, but keeps their regional context. The CFO gets one consolidated view, but the regional teams aren’t forced to distort their data.

Also—and this might sound obvious but it wasn’t to us at first—you need to define what “comparable” actually means for your business. For us, it’s LTV within 90 days. That’s our north star. Everything else serves that. Once we centered everything on that single metric, cross-market ROI comparison became possible. Not perfect, but honest.

The kicker: invest in someone or a tool that owns this standardization. It’s not a one-time project. Metrics drift, new channels emerge, market conditions shift. You need a custodian.

Also: currency conversion is only one layer. The deeper issue is that customer acquisition costs, audience CPMs, and creator rates scale differently in different markets. Don’t standardize by averaging—standardize by context. Acknowledge that the US market will almost always look more expensive on raw numbers, but that’s not a failure; it’s a market reality you price in.

From a creator’s perspective, I want to add something: when brands are trying to compare my performance to creators in other markets, I appreciate when they’re transparent about the benchmarks they’re using. If a brand tells me “We’re normalizing engagement by regional averages,” I trust them way more than if they just say “Your ROI is X” without context.

Creators can smell when brands are fudging numbers to make deals work or kill them. If you build a transparent standardization framework, you’ll get better collaboration. Creators will respect the honesty.