I’ve been in marketing long enough to see a pattern: most teams operate on institutional memory and vibes. Someone did X once at a previous company, it worked, so now we keep doing X. We don’t actually ask whether X would work in a different market or with different audiences.
I realized this was killing our US expansion strategy. We had years of proven playbooks from the Russian market. Great engagement rates, solid conversion metrics, documented case studies. But when I tried to apply them to US audiences, they flopped. Not completely—we’d see maybe 40-50% of the expected performance.
Instead of just accepting that “US is different,” I started building a library of cross-market case studies. Not just ours, but watching what other teams were doing, what was public data, competitive analysis. I’d look at what worked in Russia and try to understand why it worked, not just that it worked.
The breakthrough came when I stopped thinking about “Russian playbooks” and “US playbooks” and started thinking about underlying principles. Like, we’d always lead with social proof in Russia because community recommendation is huge there. In the US, we were still leading with social proof, but the type of social proof that matters is different. Russians want to see numbers and scale. Americans want authentic micro-influencer testimonials. Same principle, different execution.
Now I’m building a benchmark library. Here’s what we know works in each market. Here’s what we’re testing. Here’s what we learned. When a team wants to enter a new market, they don’t start from zero—they start from these documented patterns.
The thing is, this information exists and is floating around in everyone’s heads or buried in old decks. Nobody’s actually compiling it or making it easy to access. So every team re-learns the same lessons at great cost.
How are you guys capturing what actually works in different markets? Are you building this kind of library, or are you still relying on gut feel and past experience?
This is where I think a structured approach to competitive benchmarking saves massive money. I build a “playbook validation spreadsheet” for every market: for each tactic (influencer collaboration, UGC approach, creative angle), I track where it was tested, sample size, performance metrics, and confidence level.
When you have 20+ cross-market case studies organized this way, patterns emerge. You can see: “When this tactic is used in Russia, it drives 8% conversion. When used in US, it’s 6%. Why? [Insert analysis].” This is so much more useful than just saying, “US is harder.”
One thing I’ve learned: always define your metrics the same way across markets. Too many teams compare metrics that sound the same but are measured differently. If your Russia data uses a different attribution window or includes different channels, it’s not comparable.
The other insight: confidence intervals matter. Some case studies are from campaigns with 50,000 impressions. Others are from 5 million. That difference changes how much you should trust the benchmark.
How many case studies do you have documented right now, and how are they organized? Spreadsheet, wiki, or something else?
Also—this is critical—separate your “what we tried and it worked” cases from your “what we tried and it didn’t” cases. The failures are often more valuable because they show guardrails. If something didn’t work in Russia, and we know why, we don’t need to repeat that experiment in the US.
I’d also track environmental factors. A playbook that worked in Russia in 2021 might not work now. Markets shift, competition changes, audience behavior evolves. So your case studies need timestamps and context: “This worked in Q2 2023 when competition was low, but likely won’t work the same way now.”
That’s how you build a living library instead of a static one.
From a partnership perspective, case studies are actually how you build credibility when you’re trying to bring in new collaborators or creators. When you can show a cross-market case study and say, “Here’s exactly how we executed this partnership, here’s what happened, here’s what we’d do differently,” creators and agencies actually trust you more.
I’d suggest making your case study library shareable—not all of it (some is probably confidential), but the strategic lessons and frameworks. When you’re recruiting new partners, showing them real examples from both markets (stripped of brand names if needed) helps them understand your standard.
Also, connecting creators who’ve worked on successful cross-market campaigns is powerful. If I’m a Russian creator and I know another creator who successfully entered the US market, I want to hear from them. That peer-to-peer knowledge sharing is often more credible than any written case study.
Do you have a way for creators and agencies to learn from each other’s wins? That might be valuable to build.
We started this when entering European markets. We’d done well in Russia, but we couldn’t just copy-paste. The thing that helped was sitting down with people who’d already done successful market entries and asking them specific questions: What didn’t work? What surprised you? What would you do differently?
Instead of writing formal case studies, we created a simple framework: for each market entry, we documented (1) our hypothesis, (2) what actually happened, (3) the gap, (4) what we’d change. This wasn’t a win-loss thing—it was about learning from the gap.
One realization: sometimes markets look similar on paper but have completely different behaviors. We thought Europe would be similar to Russia, but it was close to the US in some ways and totally different in others. The case studies helped us see those nuances instead of making blind assumptions.
Are you documenting your hypotheses before you enter a new market? That’s what makes the post-analysis actually useful—you can see what you got right, what you got wrong, and why.
Honestly, from a creator’s perspective, I wish more brands shared their learnings about what works in different markets. When I’m deciding whether to take a brand deal, I want to know: has this brand worked with creators like me before? Did it go well? What did they learn?
If you published case studies about successful creator partnerships in different markets, you’d probably find it easier to attract and work with good creators. We’d see proof that you know what you’re doing and that you value the partnership, not just the output.
Also, if you’re sharing what’s worked in the Russian creator space versus the US creator space, that helps new creators understand the landscape. Like, “In Russia, brands see higher engagement when they partner with creators who focus on authenticity. In the US, similar engagement rates with slightly more polished production.” That’s useful information for anyone trying to grow cross-market.
Do you share this stuff with your creators, or is it mostly internal?
Case study libraries, when done right, are actually a competitive advantage. They’re how I pitch retainers to new clients. I can show exactly how we’d approach their situation based on 30+ similar campaigns across markets.
What I’d suggest: organize your cases by outcome and market combination. “Russian influencer campaigns for e-commerce,” “US UGC strategies for SaaS,” etc. This way, when you’re scoping a new project, you have relevant benchmarks immediately.
One tactical thing: include the rough budget and timeline in every case study. Clients want to know not just what worked, but what it cost and how fast. That’s what actually informs their decisions.
I’d also create a “lessons learned” summary for each case—usually 3-5 bullet points. Full details matter, but the summary is what people actually read and remember.
How detailed are your current case studies? Are they at the summary level, or full deep-dives?