I’ve been wrestling with this for months now. Our Russian brand is making a serious push into the US market, and the CFO keeps asking me the same question: “Where’s the ROI proof?” The challenge is that our home-market data doesn’t translate cleanly. A campaign that moves the needle in Russia—say, 3-5% conversion lift—might mean something totally different in the US.
I’ve started digging into case studies and cross-market analytics on our bilingual hub, and I’m seeing patterns, but I’m not confident I’m interpreting them right. The US influencer space feels more saturated, the audience expectations are different, and frankly, the cost per engagement is higher. So when I’m building a forecast for a US pilot, I’m essentially guessing.
What I’m really looking for: Which specific benchmarks—cost per acquisition, conversion lift, engagement rate ranges by creator tier—have actually worked for you when you’ve had to justify a cross-market campaign spend to someone holding the purse strings? And more importantly, how did you frame the story? Did you lean on case studies, external benchmarks, or something else entirely?
I’ve built several ROI models for cross-market expansion, and here’s what I’ve learned: don’t try to force 1:1 comparisons. Finance understands what it understands—incremental revenue, attributed conversions, CAC. What I do is break down the US pilot budget into three buckets: brand awareness (harder to measure, but necessary), direct response (trackable via promo codes, UTMs), and long-tail organic lift (you’ll see this 30–90 days after the campaign, so forecast it separately).
For benchmarks, I pull data from public reports (HubSpot, Influencer Marketing Hub) and anonymized case studies from creators in the hub. But here’s the key: I weight them by similarity. A US fashion brand going into a new category should look at fashion micro-influencers doing the same thing, not just any influencer data. That filtering alone makes the model way more believable to finance.
One concrete number that stuck: for direct-response UGC campaigns on TikTok/Instagram in the US, I’ve seen CAC land around $8–15 depending on tier and niche. That’s become my baseline. When I see a pitch for $20+ CAC, I ask why. When it’s $5, I ask if it’s sustainable. That dialogue is what finance actually wants—not a forecast, but reasoning.
Also, I always add a sensitivity analysis. Show them: “If engagement is 20% lower than forecast, here’s what CAC looks like. If it’s 20% higher, here it is.” That honesty is what builds credibility.
The mistake I see most often is treating influencer ROI as a direct-attribution problem when it’s really a multi-touch problem. In the US market especially, you need to accept that a portion of your revenue will be ‘assisted’—meaning the influencer post touched the customer, but they converted through a different channel later.
What actually convinces my CFO: I run a cohort analysis. I segment customers into ‘exposed to influencer post’ vs. ‘control’ and measure the revenue lift 30 days out. That’s not perfect attribution, but it’s honest. The benchmark I’ve seen that holds up: expect 15–40% incremental revenue lift from a well-executed influencer campaign in the US, depending on product category and audience overlap.
For budgeting, I reverse-engineer from your target revenue figure. If you want $100K incremental revenue and your average order value is $50, you need 2,000 incrementally influenced purchases. Then I work backward to required reach, engagement rates, and conversion rates. That framework solves for ‘how much should I spend?’ much faster than guessing at a per-influencer rate.
I’d also strongly encourage you to run a small pilot first—$5–10K—and actually measure what your benchmarks are before you forecast a big spend. Every vertical, every audience, every creator cohort is different.
We went through exactly this two months ago. My board wanted proof that influencer spend in the US would work for a European expansion. Here’s what finally worked:
I didn’t try to prove it with forecasts. Instead, I showed them five concrete case studies from the bilingual hub where Russian-rooted brands had expanded into English-speaking markets. For each one, I pulled the reported CAC, conversion lift, and campaign duration. Then I said: ‘Our target is in the middle of this range. Here’s why we’ll hit it, and here’s what could go wrong.’
The CFO actually cared less about the median number and more about the range. It told him the risk was bounded. He knew there was a floor and a ceiling.
Second thing: I set a pilot budget that was intentionally small—2% of total marketing budget—and gave myself permission to lose money on it if I learned something. Finance loved that. It was honest. It said: ‘We’re validating, not betting the company.’
One more thing: I measured not just ROI but also brand lift and consideration. Some of that influencer spend was meant to build awareness, not drive direct sales. Once I carved that out, the direct-response ROI looked better, and it was clearer where the value actually was.
I love this question because it opens the door to something bigger. While you’re building the financial case, you should also be identifying which creators and experts in the bilingual hub can actually help you validate your assumptions.
Here’s what I’d suggest: before you finalize your forecast, reach out to two or three US-based influencer experts or agencies in the hub who’ve worked with Russian-rooted brands. Have a conversation with them. Ask specifically: ‘What should I expect for CAC in my category? What have you actually seen work?’ You’ll get real data, not averages.
Those conversations also become part of your story to finance. You can say: ‘We spoke with three industry experts, and they confirmed our benchmarks are realistic.’ That validation is gold. It’s not just your model—it’s external confirmation.
And honestly, once you nail this pitch, those relationships turn into partnerships for the actual execution. You’ll have allies who understand both markets. That’s where the real ROI compounds.
From a creator side, I can tell you what makes a campaign actually profitable for brands: clarity on deliverables and realistic timeline expectations.
When I see a brand struggling to prove ROI, it’s often because they haven’t aligned on what the creator is actually delivering. Are they producing one post? Five? How long is the promo period? What’s the expected shelf life of the content? If a brand is vague on these, the ROI becomes impossible to measure.
Also, US creators operate differently than Russian ones. We expect more upfront clarity on rates, usage rights, and audience insights. That costs more, but it also means the campaign is more measurable. Higher cost per post, but way more trackable results. Maybe that’s a benchmark difference worth surfacing: US creators generally cost 20–40% more than equivalent Russian creators, but you get better tracking and a more professional process. Finance might actually prefer that trade-off.