What actually shifts when you build a US market entry playbook instead of just hoping it works?

I watched our company fumble into the US market for about a year before I asked the obvious question: “Do we have a plan, or are we just trying things?”

Turns out, we had neither. We had a great product that worked in Russia. We had a team that knew Russian market dynamics cold. And we had zero idea how to actually enter the US market. We’d launched some campaigns, ran some ads, worked with a few influencers. Some of it worked okay. Most of it felt random.

So I started from basic first principles. What does US market entry actually require? I broke it down: product messaging, influencer partnerships, content strategy, platform strategy, team capability, etc. For each piece, I asked: where are we strong, where are we weak, what do we assume, what do we actually know?

The messaging one was huge. We’d been translating our Russian positioning directly into English. But US audiences don’t care about the same things Russian audiences do. Russians wanted to know about technology and features. American audiences wanted to know what problem you solve. So we rewrote positioning from scratch.

Then I started mapping influencer pathways. Instead of random outreach, we identified 3 tiers: tier 1 (macro influencers who could validate us to the broader market), tier 2 (mid-tier creators who could drive actual conversions), tier 3 (micro and nano influencers for community building). Different strategy for each tier.

Content strategy was similar. What kind of content performs in the US? How is it different from Russia? Instead of guessing, I looked at competitors and deconstructed what was working. We built a playbook that said: 40% educational, 30% social proof, 20% entertaining, 10% direct promotion. That became our north star.

But here’s the thing—a playbook is only useful if you actually execute against it consistently and measure what happens. We started with a 3-month pilot. One clear hypothesis for each lever. Measure it. Learn. Adjust. Repeat.

We’re now entering month 5 and starting to see patterns. Some of what we predicted actually happened. Some didn’t. And we’re learning faster because we’re testing hypotheses instead of throwing spaghetti at the wall.

What I’m curious about: when you’re entering a new market, do you build a playbook first or do you figure it out as you go? And how much of it is actually driven by data versus instinct?

This is the right approach. Most market entries fail because companies skip the hypothesis phase and go straight to “let’s run campaigns.” Here’s the strategic framework I use:

Phase 1: Research (2-3 weeks): What does success look like? Who’s the customer? Who are competitors? What’s your unfair advantage? Document assumptions only, not certainties.

Phase 2: Validation (4-6 weeks): Test smallest viable versions of your core assumptions. Small budget, limited scope. Can you actually acquire customers? At what cost? Do they stick around?

Phase 3: Scaling (ongoing): Only scale what’s validated. Double down on what works, kill what doesn’t.

What I see companies get wrong: they skip Phase 1 and go straight to scaling. Or they spend too long validating and lose momentum. The playbook should tell you which phase you’re in and what success in each phase looks like.

Measurement question: are you tracking leading indicators (engagement, click-through) or lagging indicators (actual purchase, retention)? Most playbooks should focus on leading indicators because they tell you faster whether something’s working or not.

What are you currently measuring as “success” in your pilot phase?

The content strategy percentages you mentioned (40% educational, etc.)— I’d push back slightly on the “one size fits all” approach. This distribution might be right for your product category, but it might be completely wrong for another.

What I’d suggest: break your hypothesis into specific tests. Test 1: Does our audience engage more with educational or social proof content? Create 5 pieces of each, measure engagement rates. Test 2: Does purchase intent change with content type? Track which content types drive actual conversions.

You’ll probably find that the optimal distribution is different than what you guessed. And that’s valuable information that informs your playbook.

I’d also separate audience segments. Your macro-influencer audience might respond differently to content than your micro-influencer audience. Different messaging works.

How granular are you getting with your testing? Are you separating by audience segment, or treating the US market as one monolithic thing?

From a partnership perspective, what’s exciting about building a playbook first is that you can actually attract better partners. When you go to influencers with a clear strategy—“Here’s how we’re entering the market, here’s where you fit, here’s what success looks like”—you attract people who take it seriously.

Influencers want to work with brands that know what they’re doing. When you have a playbook, you signal competence. That helps you recruit stronger creators and negotiate better terms.

I’d also suggest involving a few key influencers in refining your playbook during the pilot phase. Get their perspective on whether your assumptions actually hold. They’ll spot things you missed because they’re in the market every day.

Do you have influencer partners helping you refine the playbook, or is it something your internal team built?

We went through exact same thing expanding to Europe. The biggest learning: your playbook needs guardrails, not rigid steps. You need to know “if X happens, we do Y.” Otherwise, every decision takes forever because you have to debate first principles every time.

For example: “If engagement rate drops below 2%, we pause this creator and audit the content.” vs. “We’ll just keep doing what we’re doing and hope it works.” The first one is a playbook. The second is hoping.

I’d also suggest including a “learning phase” explicitly in your playbook. Don’t plan to have everything figured out by month 5. Plan to have learned X by month 5, and adjust the strategy accordingly. That’s the realistic timeline.

One thing that helped: we built a simple dashboard where we tracked playbook assumptions against actual results. “We assumed US audience cares about price, but data shows they care about quality.” When assumptions break, the playbook updates.

How are you tracking whether your assumptions are actually holding up? Do you have a system for that?

I like where you’re going with this. Most brands I work with don’t have playbooks when they enter new markets. They have budget and hopeful thinking. Your approach is smarter.

One thing I’d add: your playbook should include resource allocation. Not just strategy, but: who’s executing this, how much time, what’s the budget. A playbook is useless if you don’t have resources to actually execute it.

I’d also create a monthly review process. Every month, does the playbook still hold? Did we learn something new? Do we need to adjust? This keeps the playbook living instead of static.

Also—and this is practical—keep your playbook short. Like, 10-15 pages maximum. If it’s longer than that, nobody will remember it or follow it. The goal is decision clarity, not documentation for documentation’s sake.

When are you currently reviewing and updating the playbook? Monthly, quarterly, or as-needed?

Honestly, the fact that you’re building a playbook instead of hoping makes me want to work with you. Brands with strategy usually pay better and know what they’re doing.

One thing from the creator perspective: if your playbook includes metrics like “40% educational content,” make sure you’re sharing that context with creators. Tell us why. That helps us understand what you’re actually trying to do and we can execute smarter.

Also, the US market is pretty fragmented. What works for TikTok audiences is different from Instagram, which is different from YouTube. Does your playbook account for platform differences, or is it more general?

I’d maybe suggest different playbooks for different platforms instead of one blanket playbook. The fundamentals are the same, but execution is really different.

Are you planning to go deep on one platform first, or trying to be everywhere at once?