I’ve been running influencer campaigns in both markets for about two years now, and I keep running into the same frustrating wall: my ROI numbers look completely different depending on which market I’m looking at. A campaign that shows 3.5x ROAS in Russia might show 1.8x in the US, but I honestly can’t tell if that’s because the strategy is actually weaker in the US or if I’m just measuring things differently.
The problem gets worse when I try to compare them directly. My Russian team tracks conversions one way, my US contacts track them another way, and suddenly I’m comparing metrics that aren’t even on the same foundation. Attribution windows are different, pixel tracking varies, and the way we define a ‘conversion’ seems to shift depending on who I’m talking to.
I started digging into how other teams handle this, and it seems like a lot of people just… accept that the numbers won’t line up. But that can’t be right. If I’m going to scale campaigns across both markets, I need to know if something’s actually working or if I’m just seeing statistical noise.
Has anyone built a unified framework for comparing influencer ROI across markets? I’m not looking for a perfect answer—just something that lets me actually compare apples to apples without driving myself insane. What metrics do you standardize, and how do you convince your teams to stick to the same definitions?
This is exactly what I spent the last six months solving at my company. The issue isn’t that your numbers are falling apart—it’s that you’re measuring two different customer journeys and pretending they’re the same.
In Russia, our influencer campaigns typically convert within 2-3 days. Direct attribution is relatively clean because the e-commerce ecosystem is smaller and more centralized. In the US, we see a much longer tail. Someone sees a creator’s post, doesn’t convert immediately, but comes back three weeks later after seeing an ad. Now, whose credit is it?
Here’s what we standardized:
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Attribution window first. We set a 7-day click-to-conversion window for both markets, even though Russia could get away with 3 days. This hurt our Russian numbers on paper, but it made them comparable.
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Define ‘conversion’ by business outcome, not event. We stopped tracking ‘adds to cart’ and started tracking ‘completed purchases with revenue.’ US and Russian customers behave differently, but a completed purchase is a completed purchase.
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Track ‘influencer-assisted’ conversions separately from ‘last-click’ conversions. This was the game-changer. Some people need multiple touchpoints. In Russia, 60% of our influencer conversions were last-click. In the US, it was 40%. That 20% gap explains a lot of why the numbers looked so different.
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Cost basis matters. Russian influencers charge differently than US creators. We calculated cost-per-conversion for both markets, not just ROAS. That evened out the playing field.
The real insight: don’t try to make the metrics identical. Make them comparable. Document your methodology and stick to it. Then compare year-over-year in each market separately, not across markets. That’s where you’ll actually see if your strategy is improving.
Anna nailed the fundamentals. I’d add one layer on top: you need a benchmark hypothesis before you start.
When we run US DTC campaigns with influencers, I set an expected ROAS range based on our customer acquisition cost, lifetime value, and the influencer tier. Then I run the campaign. If we hit 2.0-2.5x ROAS, that’s acceptable. Below 1.8x, we kill it.
Russia is different. Your margins might be different, your market saturation is different, your competition is different. Your expected ROAS benchmark should be different.
Here’s the question I’d ask: are you comparing the campaigns because you should be, or because you’re trying to justify why one market is ‘better’? If it’s the latter, that’s where you get stuck. If Russia’s influencer ROI is legitimately higher, that’s data you should celebrate and document—not try to force into a comparison with the US.
Standardize your methodology, not your benchmarks. Then use each market’s performance to optimize within that market.
I ran into this exact problem last year when we launched in the EU. The temptation is to build one perfect system, but honestly, I think you’re overthinking it.
What worked for us: we hired a data person whose only job was to own attribution across markets. Not one person per market—one person for the whole thing. They built a simple spreadsheet (yes, a spreadsheet, not fancy software) that tracked the same five metrics for every influencer campaign:
- Influencer fee (in USD equivalent)
- Clicks generated
- Conversions
- Revenue
- Days to conversion (average)
That’s it. We didn’t try to get fancy with attribution models or multi-touch analysis. Just the raw numbers. Then we looked at each market separately and asked: “Are we improving month-to-month?”
The real ROI question isn’t “US vs Russia.” It’s “Am I getting better at this?” Start there. The cross-market comparison can wait until you’ve stabilized each market individually.
I love that you’re thinking about this systematically! From the partnership side, I see a lot of teams get tripped up because they’re not having the right conversations with their influencers upfront.
When we kick off a campaign, I always ask: “How are we measuring success together?” If the influencer doesn’t understand your attribution window or how you’re tracking conversions, they can’t help you optimize. And if you’re running a US influencer who’s used to Shopify tracking versus a Russian influencer who’s used to a different ecosystem, misalignment happens fast.
One thing that’s helped: I started including a “Success Definition” section in every influencer brief. It’s not fancy—just a paragraph that says, “Here’s how we’ll measure if this worked.” It eliminates a lot of confusion and actually makes the data cleaner because both sides are on the same page.
Have you tried aligning your measurement framework with your influencers before you run the campaign? That might be half your problem right there.
Real talk: most agencies I know just run separate P&Ls for each market and call it a day. They don’t even try to compare. It’s easier that way.
But if you’re managing a unified budget across both, you need comparability. Here’s the fastest path: pick one platform (Shopify, Klaviyo, whatever you’re using) and make sure every influencer campaign runs through it with the same tracking setup. UTM parameters, pixel installation, conversion definition—all standardized.
Second: you don’t need perfect attribution. You need consistent attribution. Even if your model slightly undercounts influencer ROI in one market, as long as you’re undercounting it the same way every time, you can still make directional decisions.
Third: don’t try to solve this alone. Get your influencers, your platform teams, and your analytics people in one conversation. It usually takes one meeting to clarify what’s actually different and what’s just noise.
What specific platforms are you using to track conversions in each market? That might be where the real disconnect is happening.
From the creator side, I notice a lot of brands assume we’re all tracking the same metrics. We’re not. When I work with a US brand, they usually have Shopify integration and clean tracking. When I work with Russian brands, it’s sometimes Link in Bio → WhatsApp → manual order. Totally different tracking reality.
I think your problem might not be the measurement framework—it’s that you’re trying to measure the same thing in two different ecosystems. The infrastructure is different. The customer journey is different.
My advice: measure what’s actually measurable in each market without forcing them into the same box. In the US, track pixel events. In Russia, track traffic and engagement. They’re different metrics for different reasons, and that’s okay.
Also, talk to your creators about this. We understand data way better than brands think we do, and we might be able to help you figure out what’s actually happening on the ground.