I’ve been running campaigns with influencers on both markets for about two years now, and I keep running into the same wall: the numbers don’t tell a consistent story. When I compare performance metrics from Russian creators with US creators, it’s like they’re operating in completely different universes. A campaign that shows 4% conversion in Russia gets 1.2% in the US, and I genuinely can’t tell if it’s a market difference, a creative difference, or if I’m just measuring the wrong things.
Here’s the real problem—I don’t have solid cross-market benchmarks. So when my leadership asks, “Is this ROI actually good?” I end up guessing or pulling numbers from industry reports that might not apply to our specific niche. And the ROI models I’ve tried? Most assume a single market with consistent consumer behavior. They break down when I try to apply them to two regions simultaneously.
I’ve started looking into whether there’s a framework that takes into account both markets’ nuances—like how Russian audiences interact with brand partnerships differently than US audiences, or how the cost-per-engagement varies so wildly. I see other companies doing this successfully, but I can’t figure out if they’re using some tool, a specific methodology, or just years of accumulated data.
Does anyone have experience building reliable ROI models that actually work across different markets? And more importantly—how do you decide which benchmarks to trust when you’re expanding from one region to another?
This is exactly the problem I’ve been wrestling with at my company too. The issue is that most ROI models treat markets as isolated systems, but when you’re running parallel campaigns, you need interaction variables. Here’s what I found: Russian audiences have higher engagement rates but lower conversion intent on certain categories, while US audiences show lower engagement but higher purchase probability. The benchmarks need to reflect this, not just CPM or CPE.
What I started doing is building separate baseline models for each market first, then creating a conversion bridge. So instead of asking “is 4% good?,” I ask “what’s the baseline for this category in Russia, and what’s the baseline in the US?” Then I compare against those, not against each other.
One thing that helped: I tracked UTM parameters more carefully and separated organic reach from paid amplification. US markets tend to show more paid-driven results, while Russian audiences sometimes respond better to organic community engagement. When you mix those, your ROI looks broken. Separate them, and you can actually see what’s working.
How are you currently tracking attribution? That might be where the real disconnect is happening.
You’re experiencing a classic scaling problem, and it’s more common than you think. The fundamental issue is that ROI calculation requires four variables to align: audience consistency, content consistency, platform behavior, and market maturity. When you cross borders, typically three of these change simultaneously.
Here’s my framework: I build ROI models with what I call “market adjustment coefficients.” Essentially, you establish your core KPI (let’s say cost-per-acquisition for simplicity), then measure how that KPI behaves in each market under controlled conditions. Then you create a multiplier. If your US CPA baseline is $15 and your Russia baseline is $8, your coefficient is 0.53. Now when you run a campaign, you have context for why numbers look different.
The real leverage, though, comes from looking at creator-specific performance, not just market performance. Some creators punch above their weight in both markets, and some don’t. That’s where the actual ROI story lives—not in the market benchmark, but in identifying which creator types perform predictably across regions.
Are you tracking individual creator performance across both markets, or just aggregating by market?
I love this question because it’s forcing people to think deeper about how they’re actually measuring results. The partnership angle here is interesting too—have you considered connecting with somebody who’s already solved this on the US side and somebody who’s done it on the Russian side? Sometimes the breakthrough comes from comparing notes with people who’ve built these systems in isolation.
I’ve started introducing Russian brand managers to US marketing directors specifically for this reason. The conversations that happen are gold. US folks tend to be very dashboard-focused and metric-heavy, while Russians often have developed intuition about audience behavior over years. When you put them in the same room (or same Slack channel), they start asking questions neither would have asked alone.
If you want, I could help connect you with someone from each market who’s built solid measurement frameworks. And honestly, just hearing how different teams approach this problem might spark something for you.
Man, I’m glad you posted this because I’ve been struggling with exactly this. When I expanded from Russia to Europe, I was pulling my hair out trying to understand why the same “influencer budget split” that worked brilliantly at home was performing poorly in new markets.
What I eventually realized is that I needed to build performance baselines before I started comparing. Like, I’d run small test campaigns (like 5-7 creators, nothing huge) in each market, measure everything meticulously, and only then did I have real numbers to work with. Before that, I was just guessing based on cost difference and hoping it made sense.
The other thing: don’t try to be too perfect with the model. I was overthinking it, trying to account for every variable. In reality, you need 3-4 core metrics that tell the story: performance per market, performance per creator type, and performance per content format. Track those consistently, and you’ll start seeing patterns.
Are you finding that certain creator sizes (micro vs macro) perform differently across your two markets too?
Okay, from a creator’s perspective, I can tell you that the way campaigns are set up is usually very different between markets, which might be why your ROI numbers look so weird. In the US, brands want polished, on-brand content. In Russia, audiences sometimes respond better to more authentic, less produced stuff. That’s a huge ROI difference right there, but it’s not a market thing—it’s a creative direction thing.
I’ve worked with two US brands and a few Russian ones, and the deliverables are almost completely different. US brands want specific hashtags, links, exact posting times. Russian brands trust creators more to just… do their thing. Both approaches work, but if you’re measuring them the same way, you’ll get confused.
Maybe part of your ROI confusion is that the campaigns themselves aren’t comparable? Like, are you running the same creative brief in both markets, or are they different campaigns? Because that would definitely explain why the numbers dance around so much.