I’m at a point where I need to present cross-market influencer campaign results to my leadership team, and I’m running into a pretty fundamental problem: they don’t believe the ROI numbers are real.
Here’s the context: we ran an influencer campaign across both Russian and US markets over three months. The numbers on paper look good—we got conversions, engagement, reach. But leadership is asking questions like: “How do we know this wasn’t just seasonal noise? What’s the actual incremental lift we got from influencers versus organic traffic? Could we have gotten the same results spending on paid ads?”
These are fair questions, actually. But I’m struggling because I don’t have the perfect comparison data. We didn’t run a full test-and-control setup upfront (lesson learned), and the baseline is messy—organic traffic was already trending up.
I’ve been looking at case studies from successful cross-market campaigns to make a stronger argument, and there are some solid ones out there. But I’m wondering: what actually convinces C-level people that this spending is justified? Is it just the numbers, or is it something about how you present the data? Are there specific frameworks or benchmarks that carry more weight than others?
Has anyone actually cracked this nut? What evidence did you use to flip skeptical leadership from “this is too risky” to “yes, let’s keep funding this”?
Okay, so I went through this exact thing at my previous company, and here’s what actually worked: don’t lead with the grand total. Lead with the marginal analysis.
Instead of saying “influencer campaigns generated $500K in revenue,” say “we spent $50K, and here’s the incremental revenue that wouldn’t have happened without influencers.”
To figure out the incremental part, you don’t need perfect test-and-control. You need: a baseline month without influencer activity, a campaign month with influencer activity, and a clear way to attribute conversions (promo codes, UTM tracking, whatever). The difference is your incremental lift.
If your baseline was $400K in organic revenue, and you hit $450K during the campaign month, that’s $50K in question. Then break out how much of that $50K came from influencer traffic (via tracking) versus other factors. Even if it’s messy, you’re showing the work.
C-suite people don’t care about vanity metrics. They care about: did we spend money and get more revenue than we would have without spending money? Show that math, and you’re done.
Second—and this is important—don’t ask them to believe you. Ask them to believe the data. Show: here are the tracking pixels firing, here are the promo codes being used, here are the repeat customers. That’s not opinion. That’s evidence.
One more thing: comparison to paid ads is a fair question. You should have that answer ready. Usually, influencer campaigns have higher engagement and trust metrics than paid ads, but lower reach. So the argument isn’t “influencers are better than ads”—the argument is “influencers are better for building trust, and here’s the cost per engaged customer compared to our paid ad benchmarks.”
Benchmarking is actually really useful here. If the industry average cost-per-acquisition is $100, and your influencer campaigns achieved $75 CPA, that’s a story. Find industry benchmarks for your category and show how you stack up. That gives leadership a reference point.
I’d approach this completely systematically. Create a tracking dashboard that shows:
-
Spend vs. Revenue: How much did we spend on influencers? How much revenue can we attribute to influencer traffic (via promo codes, UTM, whatever tracking you have)?
-
Segment Performance: How did US market perform? How did Russian market perform? This is important because cross-market campaigns are risky—if one market flopped, leadership needs to see that clearly.
-
Comparison Metrics: What’s your cost-per-acquisition from influencers? What’s your typical paid ad cost-per-acquisition? Show the gap.
-
Long-term Value: Don’t just show immediate conversions. If you have any repeat customer data, show that. Influencer-driven customers often have higher lifetime value because they’re driven by trust, not just a discount. That’s a growth argument, not just a conversion argument.
-
Benchmarks: Pull 2-3 case studies (ideally from bilingual hubs or influencer marketing resources) that show what other companies achieved in cross-market campaigns. Show how your performance stacks up. Better? Worse? Same? That context matters.
Don’t pack the dashboard with data. Pick the five metrics that actually matter, and tell the story with those.
Bonus: if you present this quarterly, your leadership will start to see patterns. One quarter of data is noise. Three quarters is a trend. Build the case over time.
Here’s the thing about skeptical C-suite people: they’re not skeptical of influencer marketing inherently. They’re skeptical because you haven’t given them a reason to believe.
So I’d do this: find one or two case studies from companies in your industry that ran cross-market influencer campaigns and publicly shared their results. (Bilingual hubs and marketing communities often have these.) Quote them. Say: “Zendesk ran a similar campaign across two markets and achieved X. We achieved Y.” Suddenly, your numbers don’t exist in a vacuum.
Also, instead of just talking about ROI, talk about risk. What’s the risk of not doing influencer marketing? If your competitors are doing it and building brand trust, you’re falling behind. Frame it as a competitive necessity, not just a revenue tactic.
One more angle: bring the influencer herself into the conversation. Not the numbers—the influencer. Show leadership that there’s an actual relationship with an actual person. That’s the trust factor. Numbers are just numbers. People believe people.
I’d present this as: “Here’s why we should continue investing—both the data and the strategic play.”
Real talk: your leadership team probably knows they don’t fully understand the influencer marketing space. So if you explain it clearly and show you understand it, they’ll believe you more than if you just throw data at them.
I’d frame it this way: “Here’s what we spent. Here’s what we got back. Here’s how it compares to our other marketing channels. Here’s the risk if we stop doing this while our competitors continue.” That’s a business conversation, not a marketing conversation. Leadership understands business conversations.
Also, be honest about what didn’t work. If one influencer campaign flopped but another killed it, say that. It shows you’re not cherry-picking the data. It makes the good numbers more crédible.
One more thing: if you don’t have perfect baseline data, say so. “We didn’t set up perfect test-and-control, which is why we’re seeing this range.” Acknowledging the limitation actually makes you more credible. Then commit to doing it better next time.
The case studies thing is useful, but frame it as “here are the benchmarks”—not “look, other people did it.” That’s the difference between learning and copying.
I’m coming at this from a creator side, but I think it’s relevant: I’ve noticed that brands and leaders trust ROI numbers way more when they can see the work behind it.
So instead of just presenting the numbers, show them: here’s the influencer I worked with, here’s her audience size and demographics, here’s the content she created, here’s how many people clicked, here’s how many converted. Make it tangible.
Also, show them the actual content if you can. Let them see what people are responding to. That makes it real in a way that a spreadsheet doesn’t.
And from a pure authenticity angle—if the campaigns worked because the influencers were genuinely excited about your product, say that. That’s actually more convincing than just metrics. “Our influencer partners loved the product and created authentic content that resonated” is a story that makes sense to leadership.