I just finished putting together what I thought would be a straightforward case study from one of our cross-market campaigns, and honestly, it was way more complex than I expected. The challenge wasn’t just translating words—it was translating context.
We had this influencer campaign that performed well in Russia but struggled initially in the US market. When I tried to write it up as a single case study, I realized the metrics that mattered to our Russian partners (engagement rate, community sentiment) weren’t the same things our US stakeholders cared about (conversion rate, CAC, ROAS).
So I started structuring it differently. Instead of one story, I built it around three sections: tasks (what we were trying to solve—market entry for a Russian beauty brand), actions (the specific influencers we chose, the messaging we adapted, how we tested different approaches on each market), and results (the actual numbers, but presented in a way that made sense for each audience).
What made the biggest difference was being honest about what didn’t work and why. We had to completely pivot our influencer selection for the US side because our top Russian creators just didn’t resonate there. That failure became the most valuable part of the case study because it showed the real decision-making, not just the wins.
I’m still figuring out the best way to present this so it reads naturally for both audiences without feeling like two separate documents glued together. The platform’s bilingual hub helps, but I want to make sure the learning is genuinely useful for both Russian-speaking and US-based marketers.
How do you all structure your cross-market case studies? Do you write them separately for each region, or do you find a way to make one version work for everyone? And more importantly—what details do you include that actually help other marketers learn from your experience rather than just brag about results?
Oh, this is such an important topic! I love that you’re thinking about this structurally. Honestly, I’ve seen so many case studies from brands that just feel… disconnected when they try to speak to both markets at once.
What’s worked really well in my collaborations is treating the tasks and actions as the universal glue. Like, everyone understands ‘we needed to enter a new market’ and ‘here’s how we adapted.’ But then the results section needs to branch. Not in a confusing way—more like ‘here’s what success looked like in Russia’ and ‘here’s what it meant for the US.’
I actually think this is a huge opportunity for people to meet each other on the platform. When a Russian marketer reads about someone’s approach and can see the US perspective on that same campaign, it opens doors for real conversations and partnerships. That’s where the actual magic happens.
Have you thought about using this case study to reach out directly to potential partners on the US side? I feel like what you built could be incredibly valuable for someone looking to understand the Russian market better.
This reminds me of a campaign I helped coordinate between a Russian fashion brand and three US micro-influencers. The disconnect was real. The Russian team was measuring community building; the US partners were all about immediate sales. Neither was wrong—they just needed to see the same story through different lenses.
One thing that helped: we actually created a shared brief that had the metrics both teams cared about front and center. When you’re writing your case study, maybe lead with something like ‘Objective: Build brand awareness in a new market while maintaining authentic community engagement’ and then show how each market measured that differently. It validates both perspectives.
This is really solid thinking. From a data perspective, the biggest mistake I see in cross-market case studies is mixing KPIs without context. You mentioned engagement rate vs. ROAS—that’s exactly the problem.
Here’s what I’d add to your structure: attribution clarity. If you’re showing results, be explicit about what you can measure and what you can’t. Like, did you track link clicks? UTM parameters? Or were you relying on influencer-reported codes? This matters way more to other analysts than you might think.
Also—and I say this because I’ve been burned by this—document your time lag. Russian influencer campaigns often see results faster in terms of engagement, but US campaigns might take longer to convert. That’s not a failure; it’s just different marketing mechanics. If you include that context in your case study, it becomes genuinely useful for someone planning their own timeline.
What attribution model did you end up using for ROI calculation? That’s the piece I’d want to understand if I were learning from your case.
Man, I’m going through exactly this right now with my startup. We launched in Russia, and now we’re expanding to Eastern Europe and thinking about US. Reading your approach made something click for me.
The honest part—about what failed and why—that’s the stuff I actually need. I don’t care about someone’s perfect campaign; I care about the pivots. When you say your US influencer selection had to change completely, that tells me more than any successful metric would.
My question: when you structure it for the bilingual hub, do you find that being that transparent actually helps build trust with potential partners? Or does it feel risky? I’m paranoid about sharing failures, but the more senior people I talk to, the more they say the failures are where the real lessons live.
Okay, I’m reading this from the creator perspective, and I’m curious—how are you framing the influencer work in this case study? Like, from my side, I can tell you that what Russian brands expect from creators is very different from what US brands expect. Different deliverables, different timelines, different content style.
I think the most useful thing in a case study like this would be: ‘Here’s what we asked the Russian influencers to do’ and ‘Here’s what we asked the US influencers to do’ and ‘Here’s why those were different.’ Because honestly, a lot of miscommunication happens right there.
Also—and this might just be me—but the honest breakdown of what creators got paid, what they delivered, and what actually moved metrics? That’s the stuff other creators read and go ‘oh, that’s what they’re actually paying for on that market.’ It helps set realistic expectations everywhere.
Are you planning to share any of that context in the case study, or is that too inside-baseball?
Excellent framework. The structure you’re describing—tasks, actions, results—is solid, but here’s what I’d push on: causality clarity.
When you compare Russian results to US results, the temptation is to say ‘this worked here because we did X, so it should work there too.’ But markets have structural differences that have nothing to do with your campaign quality. Different platform algorithms, different consumer behavior patterns, different competitive landscapes.
In your case study, I’d explicitly address: ‘We changed X because Russian market has Y dynamic, but US market has Z dynamic.’ That level of market analysis is what separates a good case study from a great one.
Also, consider adding a section on what you didn’t measure but probably should have. Sometimes the most valuable learning from a case study is understanding what gaps might exist in the original thinking.
How deep are you planning to go on the market dynamics piece? That’s the part that determines whether this is actionable for other teams or just descriptive.