I’ve been trying to build a playbook for our US entry, and I keep asking myself: how much of what worked for us in Russia actually translates?
Like, we have a proven approach for DTC at home. We know our customer acquisition cost, our retention metrics, what messaging moves people to buy. But I’m realizing that applying that directly to the US might be like playing chess with checkers rules.
The obvious things are different: regulatory environment, payment infrastructure, shipping costs, influencer rates. But what about the less obvious stuff?
— How much do buying behaviors actually differ between markets?
— Which parts of our growth playbook are genuinely universal vs. just lucky in our home market?
— How do you weight learnings from experts who understand both markets versus local experts who only know the US?
— When do you actually need new data, and when is it safe to extrapolate?
I know I can’t just copy-paste our Russian playbook and expect it to work. But I also don’t want to throw out everything we learned. Has anyone actually built a hybrid playbook—keeping what’s universal and adapting what needs to change? How did you make that distinction?
What did you keep from your home market, and what did you completely rebuild for the US?
This is such a smart way to think about it. I’ve watched several founders go through this, and the ones who succeed are the ones who are willing to challenge their own assumptions.
Here’s what I’ve seen transfer well from Russia to US markets:
Product-market fit signals. If you’ve actually validated that people want your product, that’s universal. The way you communicate that value might change, but the core problem you’re solving probably doesn’t.
Unit economics at scale. If you know your CAC, LTV, and payback period in Russia, those metrics are relevant to US planning. You might need higher CAC in the US initially, but the relationship between those numbers matters.
Brand values and authenticity. If your brand stands for something real, that translates. What doesn’t translate is copying messaging word-for-word.
What doesn’t transfer easily:
Influencer dynamics. The influencer ecosystem in Russia is very different from the US. Different platforms dominate, different creator tiers have different leveling. You basically need to start fresh on this one.
Consumer psychology and triggers. What makes a Russian consumer buy isn’t exactly the same as a US consumer.
My advice: identify your three core metrics from Russia (pick the ones that actually predict success). Those stay. Everything else, validate with US data before you commit big budget.
Have you already identified which metrics matter most for your business?
Okay, let me break this down into what’s actually transferable and what’s not, based on data.
Transferable:
- Customer acquisition funnels and conversion rate relationships (if 5% convert at stage 1 in Russia, expect similar ranges in US, adjusted for market maturity)
- Retention cohort shapes (if your 30-day retention is 40% and 90-day is 25% in Russia, expect similar drops in US)
- Product-market fit indicators (NPS, repeat purchase rate, churn rate)
Not directly transferable:
- Absolute CAC and LTV numbers (usually higher in US)
- Payment method preferences (US has different payment habits)
- Influencer ROI benchmarks (completely different creator landscape)
- Seasonal patterns (US holidays and seasons don’t align with Russia)
Here’s the framework I use: segment your metrics into three buckets:
- Foundational metrics (product quality signals): These you keep as your baseline hypothesis.
- Market-specific metrics (CAC, LTV, conversion rates): These you test and adjust based on US data.
- Channel metrics (creator performance, paid ad creative): These you rebuild from scratch.
Start with foundational. If those hold up in the US, you’re onto something real. Then calibrate market-specific metrics over the first 60-90 days. Don’t lock in channel metrics until you have 2-3 months of live US performance data.
What’s your CAC:LTV ratio in Russia? And what’s your payback period? Those numbers will help me give you better guidance on what to expect in the US.
Dude, this is exactly what we’re wrestling with right now.
Here’s my honest take: maybe 40% of our playbook transferred, 40% needed heavy adaptation, and 20% we threw out entirely.
What transferred:
- Our product positioning. We realized the core value prop was actually the same.
- Our customer research process. The questions we asked and how we validated were solid.
- Our operational discipline around metrics. That culture matters everywhere.
What needed adaptation:
- Growth channels. We relied heavily on VK and Telegram in Russia. That meant zero in Europe. We had to completely rebuild our influencer strategy.
- Pricing. We underestimated how much US/EU consumers expected different pricing.
- Speed. US market moves faster. 90-day cycles became 60-day cycles.
- Compliance. This was huge. We weren’t accounting for GDPR, FTC rules, etc.
What we threw out:
- Our specific influencer tier strategy. The creator landscape is just too different.
- Our paid social playbook. Pixel targeting and audience behavior is different.
- Our customer service approach. Different expectations in different markets.
The thing that saved us: we didn’t try to figure this out alone. We brought in someone who had successfully expanded from Russia to the US before. Cost us money upfront, but saved us millions in wasted spend.
My advice: identify your 3 core assumptions about your business. Test each one in the US market with real data. If they hold, you’re good. If they don’t, adapt immediately.
What’s your biggest assumption about your product or market?
From a growth and scaling perspective, here’s what I see work:
Your playbook structure transfers. Your playbook details don’t.
What I mean: if you have a playbook that says, “Test with 5 creators in paid social, measure engagement, scale winners,” that process is solid. It works everywhere. But the specific creator mix, ad creative, messaging—that’s all market-dependent.
Here’s the practical approach:
Week 1-2: Document your Russia playbook in detail. Not the results, the process. How do you make decisions? How do you test? What’s your success criteria?
Week 3-4: Map that process onto the US market. Where would you execute each step differently? What new steps do you need?
Week 5+: Test and iterate.
One thing I push back on with founders: don’t over-index on metrics from a smaller or less mature market. Russia has different competition, different consumer maturity. If your CAC was low in Russia, great—but don’t expect the same in the US.
What usually works: take your best-case scenario from Russia, and plan for 2-3x those numbers in the US initially. Then prove me wrong if you can.
Also—cultural nuance matters way more than people think. What an influencer campaign looks like in Russia can feel inauthentic in the US. Same with direct customer communication. You need local eyes on that.
What’s your core growth channel in Russia? Let’s think through how that translates.
One more thing: build in flexibility. Don’t lock your playbook in stone before you have US data. The best founders I work with treat their playbook as a living document. Month one, you might completely change your approach based on what you learn.
If you’re working with an agency partner, make sure they understand your Russia playbook and can help you adapt it intelligently. Not blindly applying it, not completely throwing it out—adapting it.
This is where most expansion efforts go sideways, so I’m glad you’re thinking about it upfront.
Here’s the framework I use:
Tier 1 (Universal principles): Why does your product exist? What problem does it solve? These are market-agnostic. Validate these are the same in the US. Usually, they are.
Tier 2 (Market-adapted tactics): How do you reach customers? How do you convince them? These change. Adapt these based on US market dynamics, but keep the underlying structure.
Tier 3 (Market-specific execution): Who are the actual influencers? What’s the exact messaging? What’s the creative treatment? Build these from scratch based on US data.
Most founders lose money because they move too fast from Tier 1 to Tier 3 without properly building Tier 2. They assume if the core idea works, all the details will work.
Practically: spend your first 30 days validating Tier 1 with small bets. Spend days 31-90 building Tier 2 with pilots and tests. Only after 90 days do you lock in Tier 3 execution and scale.
Second point: be honest about what you don’t know. If you’re from Russia and entering the US, you don’t know US consumer behavior as well as you know Russian behavior. Bring in advisors or partners who actually live in and understand the market.
Last point: track your assumptions. Write down what you think will transfer. Test each one. When one breaks, learn from it. This is how you build a real playbook instead of copying the old one.
How far along are you in this process? Are you still in planning mode, or have you started testing?