How a cross-border partnership scaled our results from one-off campaign to repeatable system

Кейсы и истории успеха
1

I’ve been running marketing for a Russian tech product that started expanding internationally about a year ago. Early on, we thought we understood how to scale—do what worked in Moscow, copy it to New York, watch the profit line go up. Spoiler: that’s not how it works.

The turning point came when I met a partner in the US through a networking event. He was running influencer campaigns for DTC brands, I was figuring out how to enter the US market, and we decided to collaborate on a campaign together. It was supposed to be a one-off test.

Instead, it became the template for how we actually scale now.

Here’s what happened in that first collaboration:

The Initial Task:
We needed to test the US market for our product category. We had a budget of $15K to spend on influencer partnerships. My instinct was to find 10-15 micro-influencers on Instagram, brief them with our Russian playbook, and measure results.

My US partner said: “That’s one approach. But let me ask—do you actually know what converts in the US market for this category?”

I didn’t. I had data from Russia. I had assumptions. I didn’t have real US market data.

The Actions:
Instead of just running campaign, we spent the first two weeks on research and planning:

  1. We interviewed US creators and brands in adjacent categories. Not selling, just asking: What does success look like for this product type in the US? What do audiences care about? What messaging lands? My partner had existing relationships, so we could ask people directly instead of guessing.

  2. We identified the right creator tier. I wanted micro-influencers because I knew I could afford them. But the interviews suggested that for this category, the credibility actually came from a mix: some macro-influencers (50K+) for awareness, mid-tier creators (10-50K) for conversion. Different tiers served different functions. We allocated budget differently than my original plan.

  3. We co-briefed creators together. My partner had context on US audience expectations. I had context on the product and margin. We created a brief that spoke both languages—literally and figuratively. Creators understood what we were asking and why.

  4. We tracked not just engagement, but post-purchase behavior. A US creator might drive sales, but do those customers repeat-purchase? Are they high-LTV or one-time? We integrated our analytics so my partner could see customer behavior in Russia, and I could see it in the US. That visibility changed how we understood product-market fit.

  5. We did a structured post-mortem. After two weeks of campaign running, we sat down and mapped out:

    • What tasks did we plan? (Reach 50K users, drive 50 conversions, test messaging)
    • What actions did we actually take? (Worked with 8 creators instead of 15, focused heavily on video content, did 3 messaging variants)
    • What were the measurable outcomes? (Reached 78K users, drove 67 conversions at $224 CAC, messaging variant B had 40% higher conversion rate)
    • What surprised us? (US audiences cared way more about authenticity than polish; product quality concerns showed up in comments; repeat purchase rate was 12%, much lower than Russia’s 23%)

The Measurable Outcomes:
The campaign itself was solid (67 conversions on a $15K budget is reasonable for a test). But the real outcome was different: we had a repeatable process.

Following that, we ran three more campaigns. Each one was better because we had:

  • A framework for creator selection
  • A template for briefing that worked across markets
  • The ability to track what metrics actually matter (not just engagement, but repeat purchase and LTV)
  • A partnership structure where we could test and learn faster

Fast forward: we’ve now done 12 cross-border campaigns using variations of this model. Our US revenue went from $0 to 18% of total company revenue in a year. It’s not just the campaigns—it’s that we systematized the learning.

The Structure We Built:

Every campaign now goes through this workflow:

  1. Knowledge phase: We ask questions about market, audience, and competitive landscape. My partner and I grill creators, research competitors, understand what success looks like.

  2. Design phase: We co-create the brief, budget allocation, creator mix, and expected outcomes.

  3. Execution phase: We run the campaign with regular check-ins (not just at the end).

  4. Post-mortem phase: We do a structured review with specific sections:

    • Expected vs. Actual outcomes
    • Root causes for variances
    • What we’d do differently next time
    • What we learned about the market/audience

  5. Library phase: We document learnings in a shared system so future campaigns build on previous insights, not start from zero.

The biggest shift: we stopped thinking of each campaign as isolated. Every campaign feeds data into the next one.

What I’d Tell My Earlier Self:
Cross-border scaling isn’t about duplicating. It’s about understanding each market deeply enough to adapt. And you can’t do that alone. Having a real partner who understands their market, who can push back on your assumptions, and who has skin in the outcome—that’s what unlocked growth.

My question for the community: Have any of you scaled products internationally through partnerships? How did you structure the collaboration so it wasn’t just one-off, but became a repeatable system? And did you find that the post-mortem process changed how you thought about future campaigns?

2

This is exactly what we’re trying to figure out right now. We’re a Russian product, and we want to expand to the US, but we don’t have anyone in-market who understands the landscape. The idea of finding a partner first, before running campaigns, makes so much sense—it’s cheaper than hiring, and you get perspective immediately.

My question: how do you structure the economics of a partnership like this? Is your US partner taking a percentage of revenue? A fixed fee? Equity? Because I’m guessing the traditional “agency fee” model doesn’t quite work when you’re also learning together about market fit. How did you make the unit economics work?

3

The post-mortem structure you described is gold. We’ve been doing post-mortems on campaigns, but they’re super informal—just a call where we talk about what went well and what didn’t. Having actual sections for “expected vs. actual,” root cause analysis, and a library of learnings would actually let us build something. Right now every campaign feels like we’re starting fresh.

How long does your post-mortem process take? And how do you keep the team engaged in documenting learnings when there’s pressure to move to the next campaign immediately?

4

The comment about repeat purchase rate (12% US vs. 23% Russia) is huge and nobody talks about this. Your product might be perfect for Russia but have a different value prop in the US. Or maybe US customers need different positioning to stay engaged. Have you investigated why the repeat rate is lower? Is it:

  • The product-market fit is actually weaker in the US?
  • The customer acquisition cohort is different (different income level, less familiar with the category)?
  • The onboarding or post-purchase experience isn’t optimized for US customers?
  • Pricing perception is different?

Because if repeat purchase is your north star for LTV, that 11 percentage point gap is worth investigating hard. It might be a campaign issue, or it might be a product issue.

5

Your CAC of $224 is interesting context. Depending on your product, that’s either excellent or terrible. For an SaaS product, that’s very high. For a physical product, it might be normal. How are you thinking about CAC in context of LTV? Because if US customers have a lower repeat rate, does that change your CAC budget? Are you being more selective about paid campaigns in the US, or are you investing differently in retention once they purchase?

6

I love this model because it’s how partnerships should actually work—two people bringing different expertise, learning together, and building something repeatable. Too many brand-influencer partnerships are transactional (just deliver content). What you’re describing is collaborative.

This makes me think about how the community could facilitate more partnerships like this. What if we had a structured way for people to find partners in different markets? Like, someone says “I have a Russian product, looking for a US partner who understands DTC,” and we can actually match them with someone qualified. Right now it’s random luck, like how you met your partner.

7

Your framework is sound, but I want to make sure you’re measuring the right thing—incrementality. When you say you drove 67 conversions, how do you know those weren’t people who would’ve converted anyway? We always build in a control group: 10% of your audience sees no campaign, and you measure the difference. Otherwise, you’re crediting UGC for organic conversions.

Also, you mentioned the partnership became repeatable after one campaign. How much of that success was the partnership structure vs. learning about the US market? Because if you did 12 more campaigns and 11 of them also worked, that’s different from doing 12 and 6 working. What’s your success rate, honestly?

8

The segment on post-mortems is critical. Most companies skip this or do it superficially. But a real post-mortem—where you’re actually investigating root causes, not just celebrating wins or making excuses for losses—that’s what separates replicable success from luck. One thing I’d add: make sure you’re measuring the process, not just the outcome. Did creators deliver on-time? Did they ask clarifying questions? Did the brief resonate? These process metrics matter as much as campaign metrics.

9

The part about co-briefing creators is so important. When brands and agencies actually communicate clearly about what they want, creators can deliver so much better. Too often I get briefs that are vague or contradict each other (one person wants engagement, another wants conversions, and nobody’s defined what success actually looks like). A co-brief where the brand and the partner are aligned on expectations just makes everyone’s job easier.

I’m also curious about how you brief creators across cultures. Did you find that you had to adjust your requests for US creators vs. Russian creators? Because I know my US audience has different content expectations than a Russian audience might.