I’ve been thinking about this for a while now, and I want to throw it out there because I know others are wrestling with the same thing.
We’re a DTC brand with Russian roots, and we’ve been in the US market for about 18 months. Early on, we thought UGC was just about getting creators to film themselves using our product and throwing it on ads. Numbers looked decent—engagement was there, conversions happened. But something felt off.
Then we realized: we weren’t actually building trust. We were just creating noise in a market where people don’t know us yet.
So we started approaching it differently. Instead of handing creators a brief and hoping they’d nail it, we actually started collaborating with them. We’d tell them about our story—why we built this product, what problem it actually solves—and then we’d ask them to co-create content that felt authentic to them while still representing us honestly.
The shift was subtle but huge. Creators started making content that didn’t feel like an ad. It felt like a friend actually recommending something. And honestly? Conversion rates didn’t just stay the same. They improved. CAC went down.
But here’s what I’m struggling with: how do you actually measure if this is building real trust versus just getting lucky with the algorithm? I’m tracking conversions and CAC, sure. But there’s got to be something more that tells you whether people are actually starting to believe in your brand, especially when you’re trying to crack a new market where you’re still a complete unknown.
Are any of you doing this with a bilingual approach—where you’re managing creators in different countries, different languages? How are you thinking about trust-building differently than pure performance metrics?
This is such a genuine question, and I love that you’re thinking beyond vanity metrics. I’ve been coordinating cross-border creator partnerships for about three years now, and the trust piece is critical.
One thing I’ve noticed: the brands that actually build lasting trust aren’t the ones optimizing for the algorithm. They’re the ones building real relationships with creators. And that takes time.
Here’s what I’d suggest: before you even worry about measuring trust, invest in longer-term partnerships with creators who genuinely get your brand story. I’m talking 3-6 month collaborations, not one-off campaigns. When a creator keeps showing up for you, their audience starts to trust them more, and by extension, they trust your brand.
As for bilateral approach—yes, we’re doing this too. Russian creators sometimes have a completely different approach to authenticity than US creators. Russian audiences might value directness and vulnerability more; US audiences might connect through lifestyle storytelling. The key is finding creators in each market who naturally align with how their own communities communicate.
One more thing: consider building a creator community within your brand ecosystem. I’ve seen brands invite their top creators to exclusive events (even virtual ones) to deepen the relationship. When creators feel part of something, they market harder and more authentically.
Would love to connect on this—I think we could help each other figure out some of these patterns.
I want to push back gently on one thing: you’re conflating two different metrics, and I think that’s where the confusion is coming from.
Trust is behavioral. In e-commerce, it shows up as repeat purchase rates, customer lifetime value, and lower return/refund rates. If you’re tracking CAC going down with the same creators over time, that’s actually a trust signal—it means people are reconverting. So you are measuring trust. You’re just calling it something else.
Here’s what I’d actually track:
- Repeat purchase rate from viewers of specific UGC content—this is your trust metric
- Average order value trend—trust typically leads to higher AOV because people are less hesitant
- Return/refund rates on orders from UGC campaigns vs. other channels—lower refund rate = more trust
- Time to repeat purchase—how quickly are people coming back?
On the bilingual side, this gets trickier because markets have different baselines. Russian e-commerce customers might have different repeat patterns than US customers—that’s cultural, not about your brand. So benchmark against competitors in each market separately.
The co-creation angle you mentioned is solid, but don’t lose sight of the data. Even “authentic” content can perform terribly if it’s targeting the wrong people or hitting at the wrong time. I’ve seen beautiful, genuine UGC campaigns that flopped because the audience was wrong.
What does your repeat purchase data actually look like right now across these UGC campaigns?
Man, this resonates hard. We’re facing almost exactly this problem right now as we scale into Europe.
One real thing I’ve learned: trust in a new market isn’t built by your brand alone. It’s built by the people who are already trusted in that market voicing for you. That’s why creator partnerships matter so much.
But here’s the honest struggle: when we started, we tried to use creators as distribution channels. Pure numbers game. It didn’t work. We got engagement, sure, but no real traction. Then we shifted—we started asking creators what they thought would resonate with their audience, and we actually listened. Not always what we wanted to hear, but more real.
The measurement question you asked is something we’re still wrestling with. We’ve started doing quarterly surveys with our customer base—nothing fancy, just asking “where did you first hear about us?” and “why did you trust us enough to buy?” The creators that show up in those responses consistently? Those are the ones actually building trust, not just pushing views.
I’d say: don’t try to measure everything quantitatively. Some trust measurement has to be qualitative. Talk to your customers. See if they mention specific creators by name. That’s a trust signal you can’t get from any dashboard.
Curious—when you did this shift to co-creation, did you have to change how you brief creators, or how you work with them internally?
Great question, and I think you’re onto something important. From the agency side, I’ve noticed that brands trying to build real trust in new markets often struggle because they’re treating UGC like a media buy instead of a partnership opportunity.
Here’s what I’d add: the creators themselves need to be vetted, not just for audience size, but for authenticity in that market. A Creator with 50K followers who actually lives the lifestyle your product serves is worth more than someone with 500K followers who just chases trends.
For measurement, I recommend a hybrid approach:
- Primary metrics: Conversion rate, AOV, repeat rate—these are performance baseline
- Secondary metrics: Sentiment analysis on comments (are people trusting the creator’s recommendation?), share of voice among competitors in UGC space
- Qualitative: Actual interviews with customers who converted via specific creators
The bilingual side adds complexity, but also opportunity. If you can find creators who authentically bridge both cultures, they become your secret weapon. They understand Russian directness and US nuance.
One tactical thing: have you considered creating a creator tiering system? Tier 1 (high-frequency collaborators) get deeper relationship investment. Tier 2/3 are more transactional. This helps you concentrate relationship-building where it actually matters.
Would be interested in knowing: what’s your creator retention rate right now? If people keep coming back to the same creators, that’s a trust signal.
Okay, from the creator side, I want to tell you what actually makes me commit to a brand versus just taking a one-off deal.
It’s when the brand actually listens. Like, when they give me creative freedom but also explain why they care about the product. That combo—creative autonomy + real belief in the mission—is what makes me show up authentically.
Honestly, the best UGC I’ve ever created came from a conversation, not a brief. The brand team called me, we talked about what the product actually does, and they asked what I thought would resonate with my audience. That’s when magic happens.
On the trust measurement thing—from a creator perspective, I can tell when an audience trusts me because they buy without asking a million questions. They comment saying “I trust your opinion, so I’m getting this.” And when I recommend a brand repeatedly, my audience watches to see if it’s consistent with my values. If it is, they trust faster.
So maybe that’s how you measure for your brand: how many audience members are publicly vouching for your brand to their friends? That’s the real trust signal. Not engagement metrics. Actual word-of-mouth mentions.
One more thing: bilingual creators are rare, and honestly pretty valuable right now. If you’re working with someone who can authentically speak to both markets, invest in that relationship. That’s not easily replaceable.
This is a really thoughtful approach, and I want to help you structure how you think about measuring this more rigorously.
First, let’s separate trust-building (a brand perception metric) from conversion efficiency (a performance metric). You’re conflating them, which is common but problematic.
For trust specifically, consider implementing:
Brand Health Tracking:
- Aided/unaided awareness in your target US market (survey-based, monthly)
- Brand consideration lift (“would you consider buying from [your brand]?”)
- Trust/credibility perception scores in your category
Then, correlate these with UGC campaign exposure. Over 6 months, you should see lift in trust metrics among people who’ve seen high-quality UGC from creators they value.
Attribution Modeling:
Your CAC improvement might just be market saturation or seasonal effects. Use multi-touch attribution to actually isolate the UGC creator channel’s impact. This gets complex in bilingual markets because you need separate models per region.
Bilingual Complexity:
Russian and US markets have different trust triggers. Russian audiences might trust based on community validation; US audiences might trust based on influencer authority. Your measurement model needs to account for this segmentation.
Lastly, the co-creation approach you mentioned does typically improve trust metrics, but there’s usually a 2-3 month lag before it shows up in brand health studies. Not everything shows up in CAC data.
What’s your current repeat customer cohort look like across these two markets? That’s actually your strongest trust indicator right now.