I’ve been sitting with this for a few weeks now, and I think it’s time to share what happened because I’m still not entirely sure I read the situation correctly.
We ran a UGC campaign across both Russian and US markets with five creators. On paper, it looked solid—decent engagement rates, positive comments, the usual signals. But when we dug into the actual conversions and how users interacted with the product afterward, the numbers told a completely different story in each market.
In Russia, the campaign drove real repeat purchases. In the US, we got initial clicks but almost nobody came back. The creators themselves did great work—the content quality was consistent. So what broke?
After going through everything with a colleague from the US side, I realized we were measuring “success” differently without even knowing it. What counted as engagement in one market didn’t predict buyer behavior in the other. We were comparing apples to oranges and calling it analysis.
I pulled together all the raw data—engagement metrics, conversion funnels, customer journey maps, creator feedback—and started looking at patterns. Turns out the US audience was responding to the content itself but wasn’t connecting it to the actual product need. The Russian audience saw the creator, trusted the recommendation, and bought. Different psychology entirely.
Now I’m trying to figure out how to structure this learning so it’s actually useful for the next campaign, and how to explain to stakeholders why one set of metrics looked great but didn’t actually predict what mattered. I also want to understand if this is a common pattern or if we just designed the campaign wrong from the start.
Has anyone else hit a situation where your metrics looked promising but the actual business outcome told you to rethink everything? How did you figure out what went wrong, and more importantly, how did you prevent it from happening again?
This is exactly the kind of situation where people blame the creators or the market when the real problem is the measurement framework. What you’re describing is a classic case of vanity metrics vs. business metrics.
Here’s what I’d dig into: Are you tracking the same events across both markets? For example, “add to cart” might have different meaning in Russia versus US—maybe US users add things to test the product page, while Russian users add things with intent to buy. That alone changes how you’d interpret engagement.
I’d also look at the creator-audience match. In Russia, if a creator recommends something, followers often trust it as a personal endorsement. In the US, followers are more likely to think “is this paid?” and second-guess the authenticity. Same content, different trust signals.
My recommendation: Pull a cohort analysis. Take the US audience that saw the campaign and segment them by whether they engaged or not. Compare their historical purchase behavior before they saw the UGC. This tells you if the campaign attracted the wrong audience or if it genuinely failed to convert the right one.
What’s your repeat purchase rate baseline for similar products in each market normally? That number is your real answer.
One more thing—don’t just look at which creators performed best. Look at which creators’ audiences overlap with your actual customer profile in each market. You might find that 3 out of 5 creators brought the right people in Russia, but only 1 did in the US. That’s usually where people miss the disconnect.
Also, did you A/B test the messaging or product positioning in the UGC content itself? If the creators were just told “make content around this product” without market-specific guidance, they probably defaulted to whatever resonated with their home audience, which may not work across borders.
This is such an important story to share, honestly. I think a lot of people in our community are running into this exact issue right now—they’re scaling campaigns across markets without realizing that the same creator, the same content, can land completely differently depending on the audience culture.
Have you considered bringing those five creators together to debrief? Not in a blame-focused way, but genuinely asking them what they sensed from their audiences in terms of which content resonated and which didn’t. Creators often see engagement patterns and audience sentiment that never makes it into your analytics dashboard.
Also, would you want to partner with someone from the US side to help you design the next round? It sounds like having that perspective earlier might have caught this. I know a couple of strategists who specialize in exactly this kind of cross-market UGC work if you want an intro.
Do you think the issue is more about audience selection, creator-audience fit, or the actual product-market fit in the US?
This is a solid post-mortem setup, and I’d push you to layer in one more dimension: time lag between engagement and purchase.
Here’s what I’ve seen in US DTC campaigns: creators drive engagement, but there’s often a 7-30 day gap before those users actually convert. If you’re measuring success at day 3 post-campaign, you might think it failed when it’s actually just in the consideration phase. Russian audiences tend to move faster from discovery to purchase, which could explain the different patterns you saw.
Pull your cohort data by engagement date and track their conversion windows separately. You might find the US campaign did work—it just worked on a different timeline than you expected.
The other angle: Are the products themselves actually positioned correctly for each market? Maybe the US creators were right, but the product messaging or positioning doesn’t resonate with US buyer psychology. That’s not a UGC problem; that’s a product-market fit problem that UGC just exposed.
From a creator perspective, I’m curious—did you get much direct feedback from the creators about how their audiences were responding? Like, were they getting DMs asking “where do I buy this?” or getting called out in comments for promoting something that doesn’t fit their vibe?
I ask because I’ve done enough brand deals to know that sometimes the engagement numbers look good because people are interacting with me, not the product. If an audience doesn’t feel like the product fits my brand, they’ll engage with the content but they won’t buy.
Also, did you give the creators any creative freedom, or was the content pretty scripted? If it was scripted, that could be a massive problem in the US market especially—audiences are way more skeptical of polished, obviously-paid content. We want it to feel real.
What did the actual comments look like? Were people asking about the product, or just hyping up the creator?
This is the exact problem we hit when we tried to expand our product to two markets simultaneously. We thought we could just translate the messaging and scale, but the buyer psychology is completely different.
What really helped us was bringing together the data from both markets and looking at it side-by-side, not separately. We realized our Russian customers buy based on trust and recommendation, while US customers buy based on perceived value and solving a specific problem. The creators nailed the trust angle in Russia. In the US, they should have been focused on demonstrating the product’s unique value.
My question for you: Did the UGC content actually explain why someone should buy the product, or did it just show someone using it? Because those are very different campaigns, and different markets respond very differently to each approach.
I’m also wondering if you considered running a smaller pilot with different messaging in the US before scaling. That’s what we should have done instead of assuming one campaign would work everywhere.
I’ve seen this pattern dozens of times, and it usually comes down to one of three things: wrong creators for the US market, wrong audience targeting, or the campaign wasn’t structured for the US sales cycle.
Here’s what I’d do: First, audit whether those five creators have audience overlap with your actual US customer base. If they maxed out on Russian followers, their US audience might be too small or too different to drive real volume.
Second, US audiences are much more skeptical of UGC than Russian audiences. They want to see proof, not just “this is cool.” Did your creators include specific benefits or only lifestyle shots?
Third—and this is critical—are the creators actually allowed to be authentic, or are you giving them so much direction that they’re basically reading a script? Authenticity is currency in the US. If your Russian creators are used to more traditional brand collaboration models, they might struggle with the US expectation for raw, unpolished content.
Happy to workshop the next campaign if you want a second set of eyes. This is exactly the kind of thing we solve for clients scaling between markets.