Comparing influencer ROI across russia and the US—why can't I just use the same metrics?

Кейсы и истории успеха
1

I feel like I’m losing my mind here. I’ve been comparing campaign results between our Russian market and our US market campaigns, and the same metrics just tell completely different stories.

For example, we ran a similar influencer campaign in both markets with comparable budgets and creator follower counts. In Russia, we got a 3.5% conversion rate. In the US, we got 1.8%. At first, I thought our US execution was failing. Then I realized—maybe the benchmarks are just different? Maybe audience behavior is different? Or maybe how people engage with sponsored content is fundamentally different between the two markets?

I tried pulling together some case studies and reports from both sides, but they’re using completely different KPIs. The Russian side talks about engagement metrics and audience sentiment. The US side is obsessed with conversion funnel metrics and customer lifetime value. I can’t even compare them side-by-side without feeling like I’m mixing apples and oranges.

This matters because our leadership wants to see ROI trends across both markets, and I need to give them something that’s actually comparable and defensible. But I’m starting to think the whole comparison might be broken.

Do any of you measure influencer campaign success across multiple markets? How do you standardize metrics when the markets behave so differently? Or is it just a reality that you have to report them separately and find a way to tell both stories?

2

You’re not losing your mind—you’re actually touching on something super important that a lot of people gloss over: there’s no universal influencer metric. Markets are different.

Here’s the framework I use:

Market-specific benchmarks first: Find the baseline for each market. What’s a good conversion rate for influencer campaigns in Russia? What is it in the US? They will be different. Once you know the baselines, you can see whether you’re above or below average for each market.

For reference: e-commerce conversions from influencer traffic in Russia tend to be higher (3-5% range) because the funnel is shorter (fewer payment friction points). US conversions are typically 1.5-2.5% because of more skeptical audiences and more payment options leading to abandonment.

So your numbers aren’t wrong—they’re just different markets.

What I’d recommend for your leadership reporting:

  1. Report performance against market-specific benchmarks, not against each other.
  2. Use a normalized metric for comparison. I use something like: (Your Result - Market Baseline) / Market Baseline = % above/below market average. That way, you’re comparing effectiveness, not absolute metrics.
  3. Segment analysis by market factor: audience demographics, product-market fit, platform mix (YouTube vs. TikTok has different behavior in different countries).

For cross-market comparison that actually makes sense, I’d focus on:

  • Cost per acquisition (accounts for different price points in different markets)
  • Return on ad spend (ROAS) by market, normalized
  • Customer lifetime value, not just first purchase

The last one is key: a US customer might take longer to convert but have higher LTV. A Russian customer might convert faster but have lower repeat purchase rate. The true comparison is which generates better long-term value.

Does your data allow you to track customers longitudinally across both markets? If you can see repeat purchases, that changes the ROI story significantly.

3

This is a classic international expansion problem, and the answer is: you’re right to be confused. But you’re approaching the problem wrong.

You can’t use the same metrics. What you can do is architect a comparable framework.

Here’s the structure I’d build:

Tier 1: Market-Agnostic Metrics (always comparable)

  • ROI % = (Revenue - Cost) / Cost
  • Cost per Acquisition
  • Customer Acquisition Cost (CAC)
  • Return on Ad Spend (ROAS)

These work across markets because they’re ratios. They account for different price points, conversion rates, everything.

Tier 2: Market-Specific Metrics (report separately, contextualize)

  • Conversion rate (report market baseline alongside your number)
  • Engagement rate (acknowledge that US audiences engage differently than Russian audiences)
  • Click-through rate (platform and audience behavior differ)

Tier 3: Business Context Metrics (explain market differences)

  • Days to conversion
  • Customer lifetime value (if you have historical data)
  • Repeat purchase rate
  • Market-specific factors (seasonality, competitor activity, currency fluctuations)

For your leadership reporting, I’d recommend:

  1. Lead with Tier 1 (ROI, ROAS, CAC). This is apples-to-apples.
  2. Provide market context. “Russian market shows 3.5% conversion (vs. market avg 3.2%), US market shows 1.8% (vs. market avg 2.1%), suggesting we’re underperforming in US relative to opportunity.”
  3. Dig into why US is underperforming. Is it creator fit? Product positioning? Audience expectations?

The missing piece: why is your US ROAS lower? Is it because:

  • The US campaign had higher cost per click but same conversion rate? (Platform/audience cost issue)
  • The US audience converted at lower rate? (Message/product fit issue)
  • The US customer base has lower AOV or repeat purchase? (Different market opportunity)

Each answer points to a different strategy.

Also, here’s a practical thought: you can normalize some metrics if you’re tracking properly. Like, if you track the full customer journey in both markets, you can compare cohort behavior over time. That’s way more valuable than comparing raw conversion rates.

What’s your current data infrastructure? Are you tracking the same touch points in both markets, or are the funnels actually structurally different?

4

Okay, so I don’t work with the metrics as much as the actual creators, but here’s what I’ve noticed from networking with people in both markets:

The Russian influencer space and the US influencer space are almost different industries. In Russia, there’s more trust in influencers—people tend to follow recommendations more directly. In the US, audiences are way more skeptical and want proof (reviews, second opinions, etc.).

This affects metrics because engagement means different things. A Russian audience might comment with genuine intent to buy. A US audience might comment to just engage with the creator.

What I’d suggest for your leadership: instead of trying to make the metrics identical, build a narrative that explains both. “Our Russian campaign converted 3.5% of influenced traffic because the audience has high trust in this creator. Our US campaign converted 1.8% because the audience needs more social proof, but those converters have higher LTV because they’re more considered purchases.”

That’s a story that makes sense and explains why the numbers look different but might both be “good”.

One thing that helps: when you’re working with case studies from creators in both markets, ask them directly about audience behavior. What questions do their Russian followers ask vs. their US followers? What content gets the most response in each place? That qualitative stuff will fill in the gaps that metrics alone can’t.

Also, are you using the same creators in both markets, or different creators? Because creator + market fit might matter more than you think. The same influencer won’t necessarily perform the same way in different markets.

5

From my angle as a creator, I can tell you: audiences are very different.

When I create content for a Russian audience, people tend to ask direct questions like “where can I buy this?” or “is this good?”. Comment section is short, intent is clear.

When I create for a US audience, people want more background, more story, more proof. They engage with me first, product second. Way more comments, but takes longer to convert.

I think the reason your metrics look different is actually obvious once you think about it from the creator perspective: the job of the content is different in each market.

In Russia, the content is “here’s a good product, buy it.”
In the US, the content is “here’s my experience, let me tell you a story.”

Both work, but they convert differently because they’re supposed to.

For your reporting, I’d ask: are you optimizing for the actual goal in each market? If Russia is your quick revenue play and US is your long-term brand play, then comparing them directly with the same metrics doesn’t make sense.

Also, make sure you’re giving creators the same creative freedom in both markets. If you’re being too prescriptive in the brief, both sides will perform worse, but the US side will suffer more because that audience needs authenticity.

6

I manage cross-market campaigns for clients, and here’s what I’ve learned from the partnership side:

You need two reporting dashboard, not one.

Dashboard A (for you and leadership): Market-context-aware metrics. ROI by market, CAC by market, conversion rate vs. market benchmark. Shows you whether you’re doing better or worse than you should be doing in each context.

Dashboard B (for optimization): Deep dives into the reasons behind the metrics. Creator fit quality, audience sentiment, content resonance, etc.

When I’m running a campaign, I’m actually looking at completely different KPIs for Russia vs. US:

Russia: Speed to conversion, engagement quality, click-through rate. These tell me if my creator and messaging are resonating.

US: Conversion rate, repeat purchase intent signals, comment sentiment. These tell me if I’m building a long-term audience relationship.

TheyLOOK different because they ARE different. The game is different.

For leadership: position it as “market optimization strategy.” “We’re optimizing for speed and volume in Russia, and for repeat purchase and brand loyalty in US. Short-term ROI will look different, but long-term value will validate the strategy.”

That frames the difference as intentional, not as failure.

Question for you: are you actually optimizing for different goals in the two markets, or are you trying to run the same campaign with the same goals and wondering why results differ?