Presenting cross-market campaign results to skeptical C-suite: what metrics actually move the needle?

In-House Marketing Masters (US-Based)
1

I’ve spent the last three months running a cross-market influencer campaign (Russia + US), and last week I had to present results to our CEO. The experience made me realize how much of the problem is translation, not of language, but of what “success” even means across markets.

Here’s the disconnect: influencer metrics that make sense to me and the marketing team (engagement rate, reach, audience quality) don’t automatically translate to what the C-suite cares about. CEO doesn’t care about 12% engagement if he doesn’t know what that means in terms of revenue impact.

I came into the meeting prepared with:

  • Reach numbers
  • Engagement rate
  • Follower growth
  • Cost per engagement

Head of Finance asked: “What did this actually sell?”

I didn’t have a good answer. Or rather, I had answers, but they were fuzzy. Some sales came from direct links, some from general brand lift, some probably happened offline because a customer saw the content and later came back through Google. Attribution is messy, especially across markets with different consumer behavior.

So I learned, hard, that I needed to work backward from what the CEO actually cares about: revenue, ROI, customer acquisition cost. Then I had to figure out how influencer metrics connect (or don’t) to those things.

Turns out, I was missing intermediate metrics:

  1. Conversion rate from social traffic. Not just “people clicked the link,” but “people who clicked actually bought.” This varies dramatically between Russian and US socials. Russian audiences tend to have higher conversion (maybe 2-3%) while US audiences from influencer content tend to be more awareness-stage (0.5-1.5%).

  2. Customer acquisition cost by market. This is where the real judgment lives. An influencer who reaches 100k people at $0.10 CPM is less valuable than an influencer who reaches 10k people at $0.05 CPM if the latter’s audience converts at 3x the rate.

  3. Repeat purchase rate. Did the customer come back? Are they loyal? This is where I realized influencer audiences behave differently across markets. US audiences from our campaigns had higher repeat purchase (maybe 35%) than Russian audiences (maybe 20%). This suggests different audience-builder relationships or product-market fit.

  4. Time to conversion. How long between seeing the influencer content and making a purchase? Russian audiences converted faster (average 2 days), US audiences took longer (average 9 days). This matters because it changes how you attribute credit.

Once I started talking in these terms, the CEO leaned in. He actually cared when I said: “Russian campaign generated $40k in revenue at a $8k spend (5:1 ROAS), and US campaign generated $28k at $12k spend (2.3:1 ROAS), but US audience has higher repeat purchase potential.”

Then he had useful opinions: Maybe we invest more in Russia short-term to capitalize on the high-converting audience, but we stay patient with US because the audience quality is higher for retention.

What changed for me:

  • I stopped presenting vanity metrics (reach, engagement)
  • I stopped trying to convert the CEO to fluency in influencer marketing
  • Instead, I translated influencer metrics into business metrics he already understood (CAC, ROAS, repeat purchase)
  • I was transparent about uncertainty (“attribution isn’t perfect, but here’s what we know”)

I’m using the platform’s knowledge-exchange hub to pull case studies where other people have done this translation, and it’s helping me build a consistent framework.

But I’m still learning: when the CEO asks, “Which market should we prioritize next year?” I have data now, but the answer depends on whether we’re optimizing for short-term revenue (Russia wins) or long-term customer value (US looks better). That’s a strategy question, not a metric question.

My question for the community: How are you actually bridging this gap between influencer metrics and C-suite metrics? Are you using an intermediary model (like DAU, NPS, etc.), or are you going straight from campaign data to revenue? And how do you handle the markets where data is messier or less reliable?

2

Это очень сильный пост, потому что ты описал реальную боль маркетолога: метрики, которые имеют смысл в вашем мире, не имеют смысла в миру финансов.

Одно уточнение к твоей картине: ты упомянула repeat purchase rate (20% vs 35%), но не упомянула average order value. Это важно, потому что иногда низкая repeat rate компенсируется выше AOV. То есть, Russian audience может конвертировать чаще на smaller purchases, а US audience реже, но на bigger ones. CLTV может быть одинаковой.

Дополнительно: ты говоришь о 2.3:1 ROAS на US кампаний, но это прямая конверсия? Потому что influencer frequently работает на brand awareness, и полная ROAS может быть 4:1 или 5:1, если ты займесь attribution modeling.

Мой вопрос: ты считала customer lifetime value по маркетам? Потому что это то, что должно действительно двигать динамику инвестиций, более ROAS аз краткосрочном горизонте.

3

Спасибо за этот пост, потому что ты решила одну из моих любимых проблем: когда маркетолог и финансист говорят разные языки.

Одна вещь, которую я заметила: ты получила поддержку CEO потому что ты была прозрачна о неопределенности. “Attribution isn’t perfect, but here’s what we know” это фраза, которая открывает разговор вместо того, чтобы его закрыть.

Что я часто вижу: маркетологи пытаются быть слишком уверенными в цифрах, чтобы выглядеть competent. Но CFO видит через это. Лучше сказать “мы 70% уверены” с честной поддержкой, чем “мы 100% уверены” с слабой логикой.

Что касается выбора рынка: может быть, ответ не в том, чтобы выбрать один, а чтобы инвестировать по-разному в каждый?

Вопрос: когда ты представляешь эти данные, ты используешь какие-то определенные визуализации или конструкции, которые помогают C-suite схватывать? Я ищу шаблон для других люой в сообществе.

4

Solid framework. You’ve identified the core problem: influencer marketing is demand-gen activity, but you were presenting it as brand awareness activity. Those are different buckets with different ROI profiles.

On your specific metrics:

Repeat purchase rate differences (20% vs 35%): This is interesting, but I’d want to control for product category and price. Are you selling the same product in both markets at similar price points? Because repeat behavior is heavily influenced by whether you’re selling a consumable (high repeat) or a one-time purchase (low repeat).

Time to conversion (2 days vs 9 days): This suggests different market maturity or audience intent. Russian audience might be more purchase-intent-forward (maybe closer to checkout already), while US audience is discovering the product category. That’s valuable info for media strategy, but it’s not universally better or worse—it’s different.

Attribution modeling: You mentioned attribution isn’t perfect. True. But you can reduce the fuzziness with incrementality testing or propensity modeling. Before next cycle, I’d set up a control group (no influencer exposure) vs test group. You’ll get actual incremental lift, not just correlation.

On prioritization: I’d reframe the CEO’s question. Don’t ask “which market?” Ask “what’s our customer acquisition cost trajectory in each?” In Russia, you’re getting fast payback. In US, you’re investing in longer LTV. Both have value depending on cash flow and growth stage.

One more thing: make sure you’re measuring influencer CAC against all your acquisition channels. If influencer CAC in the US ($52, roughly, from your $12k spend) is lower than paid search or other channels, that’s the real lever for the CEO.

5

Okay so from a creator perspective, I’m reading this and realizing I’ve never actually had a brand explain their ROI metrics to me. Like, I get the brief, I deliver content, I sometimes see conversion reports, but I don’t actually understand how my work fed into their bottom-line strategy.

This matters to me because if I knew which brands saw me as high-intent demand gen (like your Russian audience data) vs. brand awareness, I’d structure my content differently. Like, my hooks, CTAs, everything.

Quick question: when you’re evaluating influencers for these campaigns, are those repeat purchase and time-to-conversion metrics things you’re explicitly asking about, or is this data you’re gathering after the fact? Because if brands need specific metrics from creators, we should know that upfront.

Also: do you share these insights back to the creators? Because learning that “US audiences I reach are slower to convert but have higher loyalty” would genuinely help me understand my audience better and pitch more strategically.

6

This is exactly the framework I pitch when clients say “our influencer spend isn’t working.” Nine times out of ten, it is working, they just don’t have the visibility.

Two things I’d add to your model:

1. Contribution modeling, not just attribution. Direct conversion is one path. But influencers often work in combination with other channels. You can estimate contribution (“this influencer touch contributed to 40% of eventual conversions”) without claiming 100% credit. It’s more politically defensible with the finance team.

2. Cohort analysis over time. Run your customers from Russian influencer campaigns through a cohort dashboard. Month 1, month 3, month 6. Track repeat rate, AOV progression, etc. Same for US. This tells the CEO a much richer story: “Russian influencer audience is fast-convert but potentially transactional, US audience is slow-build but higher LTV.” That narrative is gold.

On visualization: I’d push back against spreadsheets and dashboards buried in tools. Create a one-pager dashboard with three key metrics: CAC by market, ROAS by market, Repeat rate by market. That’s it. CEO doesn’t need to dive deeper unless something’s broken.

Last thing: when you present this next time, lead with the decision. Don’t lead with data. Start with: “Here’s what I recommend we do with budget based on these metrics.” Then show the data that supports it. That’s how executives listen.