Crafting a bilingual case study that actually lands with both Russian and US audiences—how do you structure it?

I’ve been wrestling with this for a while now, and I think I finally figured out why so many of my case studies feel flat when I translate them. It’s not just about translating the words—it’s about understanding what success actually means to each side.

Last month, I worked on structuring a case study for a Russian beauty brand that was expanding into the US market. On the Russian side, stakeholders wanted to see community engagement, word-of-mouth momentum, and brand narrative. The US partners? They were obsessed with CAC, ROAS, and measurable conversion metrics. Same campaign, completely different stories.

So here’s what I started doing: I stopped trying to create one “universal” case study. Instead, I built it in three layers:

Layer 1: The objectives — but I write them twice, with different emphasis. For Russian partners, I lead with brand positioning and market entry narrative. For US partners, I lead with financial targets and KPIs.

Layer 2: The actions — surprisingly, this part is almost identical. Both sides care about what you actually did. The difference is in the details you highlight.

Layer 3: The results — and this is where it gets interesting. I present the same numbers, but frame them differently. For Russia: “We built a foundation of 50K engaged community members.” For US: “We achieved a 3.2x ROAS with a $12 CAC on a $180K budget.”

The bilingual hub here really helped because I could see how other people were tackling this. What I realized is that the best case studies aren’t translated—they’re adapted. You’re not hiding information; you’re just organizing it in a way that resonates with each audience’s priorities.

My question: How do you decide what data to emphasize in your case studies when you’re presenting to audiences with totally different success metrics? Do you create separate versions, or is there a way to make one structure work for both?

Oh, I love this approach! You know, from a partnership perspective, this is exactly what I’ve been trying to explain to brands. When you’re bringing together a Russian influencer and a US brand, they literally speak different languages—not just in terms of words, but in terms of what they value.

I’ve started doing something similar with briefing documents. I create one master brief, but then I extract two different “executive summaries.” The Russian side sees the cultural angle, the community vibes, the authenticity narrative. The US side gets the performance metrics, the audience demographics, the ROI projections.

The thing is, once you do this a few times, you start to see patterns. Russian partners often care more about who is involved and why it matters narratively. American partners want to know what will happen and how much it will cost. It’s not better or worse—it’s just different operating systems.

I’d love to see more people on the hub sharing their bilingual structure templates. I think we could all save so much time if we had a few solid frameworks to start from.

This is a solid framework, but I want to push back on one thing: the “different metrics” problem is real, but I think you can solve it more elegantly with a unified data foundation.

Here’s what I’ve seen work: Don’t separate by audience. Instead, layer your metrics hierarchically. Start with the business outcome that matters universally—in your case, successful market entry. Then show:

  1. Leading indicators (what happened during the campaign): engagement rate, content performance, influencer reach.
  2. Conversion indicators (what changed in behavior): CAC, conversion rate, average order value.
  3. Retention indicators (what stuck): repeat purchase rate, customer lifetime value.

Now, here’s the thing: Russian stakeholders will naturally focus on #1 and #2. US stakeholders will zoom into #2 and #3. But the data is consistent across both interpretations.

I ran this on three different campaigns last year, and the pushback dropped significantly. Both sides felt like they were getting the real picture, because they were—just from different angles.

What metrics are you currently using to measure success across both markets? That might be where the real disconnect is happening.

Also—and this is important—I’d recommend testing how your case study lands with actual stakeholders before you finalize it. I learned this the hard way. What you think matters to the US side often differs from what they actually ask about in a meeting.

Have you done a soft launch with a few key partners to see which version resonates? That feedback loop could save you from a lot of structural rewrites down the line.

Man, this is hitting close to home for me right now. We’re in the middle of structuring our first European expansion case study, and I’ve been making exactly the mistakes you’re describing.

I tried to create one “clean” case study that would work everywhere, and what happened was both sides felt like the story was incomplete. The Russian investors thought we were downplaying the community impact. The European partners thought we were being too soft on the financial performance metrics.

Your three-layer approach makes sense. I’m going to test this on our Q4 case study. The part I’m most curious about is how you handle cultural differences within the narrative. Like, our team had completely different approaches to talking about our growth—Russians want to tell a story about persistence and market understanding. Europeans want a story about optimization and scalability.

Did you run into that kind of narrative tension, or was it mostly about metrics framing?

Okay, so this is genuinely useful, and I’m going to use this thinking with our clients immediately. But I want to add one more layer: presentation format.

I’ve found that even if you structure the data perfectly, the way you present it matters hugely. For US-based partners, I now use:

  • Executive summary with hard numbers upfront
  • Timeline showing actions and immediate results
  • ROI breakdown and forward projections

For Russian partners, I use:

  • Narrative introduction explaining the “why” and market context
  • Detailed timeline with relationship-building milestones
  • Results framed as a foundation for future growth

Same underlying data. Different journey through the information.

Have you thought about how presentation format plays into this? It might be just as important as the data structure itself.

Wait, I have a practical question from the creator side of this. When you’re working with influencers for these bilingual campaigns, how much of the case study are you sharing back with them? Because I’ve noticed that a lot of brands create these super polished case studies but never actually show creators what the final results looked like from their perspective.

Like, I did a collab recently with a brand that was testing the Russian and US markets, and they never told me how the content performed. It was weird. I would have loved to see the breakdown—not for ego, but because knowing what worked would help me create better content next time.

Do you share simplified versions of these case studies with the creators who participated? Or is that something you’re trying to figure out too?

This is a well-structured observation, and it highlights a fundamental challenge in cross-market work: alignment on success definition happens upstream, not in the case study itself.

What I’ve learned is that the case study is actually a downstream artifact. The real work is getting stakeholders aligned during the campaign on what success looks like. If you wait until the case study phase to surface these differences, you’ve already lost the ability to optimize mid-campaign.

So my question back to you: When you’re planning these bilingual campaigns, are you doing separate success criteria workshops with each market, or are you trying to define unified criteria upfront?

The reason I ask is that the three-layer approach you described works brilliantly for presenting results. But if the campaign was actually optimized for different goals without clear trade-offs, your case study might be hiding real strategic misalignment that cost you performance.

What does your campaign planning process look like for bilingual markets?