You check your MMP daily.You still don't fully trust what it's telling you.
That instinct is usually right. Somewhere between the SDK and your dashboard, the attribution breaks. We find exactly where, and rebuild it, so you can scale spend with confidence, not hope.
The problem isn't your campaigns. It's what's under them.
Your MMP looks like it's working. Data is flowing, reports are generating. But the numbers don't fully reconcile, and you don't fully trust them.
The gap lives in the measurement layer. It's usually one of these:
SDK calls, deep link handlers, the business logic that decides what actually counts as a conversion. Attribution touches code in a dozen different places, not one. A bug in any single one of them breaks the chain quietly, and it's rarely the same place twice.
Your iOS data isn't deterministic. It's modeled. And the model is only as good as the conversion schema underneath it, which most stacks haven't set up correctly for their actual monetization events.
Your MMP and your ad networks aren't measuring the same window. So every channel claims more than it earned, the totals never add up, and nobody can agree on which number is right.
Post-install revenue isn't flowing back to your MMP. You're optimizing on install signals, not revenue signals, and the two don't always point in the same direction.
This is a measurement infrastructure problem, not a campaign problem. And there's a specific fix for each one.
We've fixed this for teams at
I'm Muffaddal.
Mobile attribution and measurement specialist.
Founder of EmCube.
9+ years inside mobile growth stacks. from early-stage apps finding their first paying users to platforms running six and seven figures a month in paid UA. Most recently, I led measurement across an entire portfolio of AI-first companies as Analytics Manager at Disrupt.
100+ measurement engagements. One finding repeats every time: the gap between what your MMP reports and what your app actually earned is almost always a measurement infrastructure problem not a campaign problem.
EmCube exists to close that gap. And I make sure every engagement delivers on that.
Here's how we approach it
Our M³ Framework
Three phases. One outcome: numbers you can trust.
Bad attribution doesn't just give you wrong reports.
It gives you wrong decisions.
A channel looks strong in your MMP. You push budget in. Growth is slower than the data suggested. What actually happened: it was claiming credit from organic and other sources. The real driver was getting starved while this one got funded.
A channel shows weak ROAS. You pause it. Installs drop across the board. What you couldn't see: it was driving lift that other channels were claiming. Your MMP couldn't show you that. It wasn't built to.
Your weekly deck goes to leadership. The numbers are there. But somewhere in the back of your mind, you know the stack they came from has gaps.
The Visibility Tax isn't just inaccurate reports. It's inaccurate decisions, made every month on top of a broken foundation.
Bridebook was running a $100K+/mo paid program and reporting flat performance.The real number: campaigns were converting 41% better than their dashboards showed.
The campaigns weren't underperforming. The measurement was.
Read the Bridebook SKAN audit→Results, in their words.
"Muffaddal understands both the ad platform and the MMP side, which removes a tremendous amount of friction. I've worked with him across two companies where we scaled advertising spend to over $100K per day."
"Muffaddal set up our entire attribution stack: AppsFlyer, RevenueCat, Meta, TikTok, SKAN, event mapping. Our data went from a black box to numbers we can actually trust."
"Muffaddal walked me through SKAN configuration in a way that was genuinely clear and useful. Exactly the kind of expertise that's rare to find, and I'll absolutely be working with him again."
"Muffaddal has vast knowledge of Firebase and tagging strategies, and helped us tremendously with our implementation. Muffaddal is one in a million; he is amazing."
"Muffaddal set up our RudderStack and connected destinations like Meta, Google and Customer.io. He acts as a bridge between the tech and marketing team, resolving issues on the go."
"Muffaddal understands attribution and tracking immensely well. His auditing opened up new insights and gave us better visibility into user behavior and campaign impact across channels."
Everything your mobile measurement stack needs.
From MMP configuration to product analytics infrastructure to custom dashboards: under one framework, with one point of contact accountable for all of it.
Stop making budget decisions on data you don't trust.
No sales pitch. I'll look at your current stack, show you exactly where the gaps are, and what it's costing you. Because most attribution problems compound the longer they're left alone. The earlier you check, the cheaper it is to fix.
Find My Attribution Gaps