I’ve been managing influencer campaigns between our Moscow and New York teams, and I’ve noticed something weird: we’re looking at the same campaign data, but different people walk away with completely different conclusions.
Our Moscow team looks at engagement rate and reach. They’re happy with 8-10% engagement on a post. Our New York team looks at click-through rate and conversion. They’re frustrated because only 2% of the people who see the content actually click through.
But here’s the thing: both are right. Both are reading the data correctly. The problem is we’re not speaking the same language about what the metrics mean.
I realized this is partly because our tools are different. In Russia, we’re mostly tracking Instagram and VK metrics through native platforms. In the US, we’re layering UTM tracking, conversion tracking, and attribution windows. So the data itself is coming from different sources with different methodologies.
It’s gotten to the point where when the Moscow team and New York team get on a call to discuss campaign performance, they’re almost speaking past each other. Moscow sees a successful campaign based on engagement. New York sees a mediocre campaign based on conversion.
Neither is wrong. But without a shared framework for interpreting the same data, we’re wasting time arguing about what’s actually working.
I’ve started building a shared metrics glossary—literally defining what each KPI means and how we calculate it. But I’m wondering if there’s a better way.
How do you maintain alignment when you’re working across regions and tools? How do you make sure everyone is reading the same story from the data?
This is a structural problem, not a data problem. And you’re handling it the right way by creating a shared glossary.
But here’s what I’d add: don’t just define the metrics. Define the decision that each metric informs.
For example:
- Engagement rate answers: “Is the content resonating with the audience?”
- Click-through rate answers: “Is the creative compelling enough to drive action?”
- Conversion rate answers: “Does the audience actually value what we’re selling?”
These are different questions. A campaign can be amazing at resonating (high engagement) but weak at driving conversion (low CTR). This isn’t a contradiction. It’s useful information.
When Moscow and New York understand that they’re not actually disagreeing about campaign success—they’re looking at different dimensions of success—the conversation becomes productive.
So my advice: build a tiered metrics framework.
Tier 1 (Strategic): Revenue, customer acquisition cost, lifetime value. This is what the business actually cares about.
Tier 2 (Tactical): Engagement, reach, click-through rate. This is what helps you optimize the creative.
Tier 3 (Diagnostic): Impressions, saves, shares. This is what helps you debug what’s happening.
Everyone should be aligned on Tier 1. Teams can debate Tier 2 and Tier 3, but they should be working toward the same strategic outcome.
Also: standardize your attribution window. If Moscow is looking at 7-day attribution and New York is looking at 30-day, of course you’re getting different numbers. That’s not insight—that’s just inconsistent measurement.
This is one of the most common problems in cross-regional marketing. I’ve seen this exact situation at multiple DTC brands.
The root cause is that most analytics tools give you raw data, not context. A 2% CTR on a $100K influencer campaign could be either great or terrible depending on your benchmarks, your product, and your attribution methodology.
What we do is build a metrics charter for each campaign:
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Define success upfront. Before the campaign launches, everyone agrees: what does success look like? If it’s brand awareness, success is reach and engagement. If it’s sales, success is conversion and AOV.
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Use consistent tools. This is hard, but critical. Pick one analytics tool that both regions use, or build a unified dashboard that pulls from multiple sources and normalizes the data.
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Weekly reviews, same format. Every Friday, same dashboard, same metrics, same people on the call. Consistency builds shared understanding.
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Budget allocation follows metrics. If engagement is the goal, allocate more budget to creators with high engagement. If conversion is the goal, allocate to creators with high conversion. This forces alignment—you can’t pay for engagement and measure success by conversion.
The glossary approach is good. But I’d go further and actually build a unified analytics infrastructure.
We’re dealing with this right now, and honestly, the issue is even more basic: we don’t have consistent tracking set up between regions.
Our Moscow team is using VK analytics and Instagram Insights. Our US team is using Google Analytics and Facebook Pixel. These systems don’t talk to each other.
So when we try to compare a campaign in Russia vs the US, we’re literally comparing apples (VK engagement) to oranges (website conversion). No wonder we disagree on what’s working.
My question: short of building a complete analytics infrastructure overhaul, what’s a quick win way to get more alignment? Is there an affordable analytics tool that can normalize data from multiple regions?
From my perspective as a creator, I notice this problem when brands don’t give me clear direction on what they’re measuring.
I’ve had brands track my engagement rate and seem happy, then ask me why sales aren’t going up. Or they emphasize sales but don’t give me any tools (links, codes, etc.) to actually drive measurable conversions.
It’s frustrating because I don’t know what I’m supposed to optimize for.
If you’re coordinating between teams, please make sure that your creators—especially if they’re operating in both regions—get the same story. Tell me what matters to you, and I’ll make different content for different goals. But don’t measure me on engagement and then complain when conversion is low. That’s on your team, not me.
The practical solution we use: build a single dashboard that has columns for both the local metrics (what matters regionally) and global metrics (what matters to the business).
For Russia, you might track VK engagement and Instagram reach. For US, you track website conversion and email signups. But both feed into one number: customer acquisition cost and revenue attribution.
That single number is what Moscow and New York should be aligned on. Everything else is supporting detail that helps you optimize.
This requires someone to be a “translator” between the regions and the tools. Usually a data person who understands both markets. But once it’s set up, it solves 80% of the alignment problem.