Airbridge: why your attribution numbers don’t match (and how to stop arguing about dashboards)
Ad platforms, MMPs, and first-party systems measure different things. The fix is a measurement hierarchy, not forcing reports to reconcile perfectly.
Original article (source): Airbridge - “Why Mobile Attribution Numbers Don’t Match: Ad Platforms vs MMP vs First-Party Data” (published Feb 23, 2026)
The uncomfortable truth: everyone is ‘right’, and your CAC still gets wrecked
Airbridge’s framing is useful because it’s blunt: if Meta says 120 conversions, Google says 95 installs, your MMP says 80 users, and billing shows 65 subscribers, the gap is not a reporting quirk. It changes:
- CAC and payback calculations
- forecasted MRR
- which channels you scale
Why the numbers diverge
They point to a few common roots:
-
Self-reporting networks (SRNs/SANs) over-claim by design
- Platforms (Meta, Google, TikTok, Apple Search Ads) attribute using their own logged-in or impression data.
- View-through windows can make “influenced” look like “caused”.
-
Deduplication across channels is hard
- One user can touch TikTok, then Meta retargeting, then Google search.
- If each platform counts independently, every dashboard looks profitable at the same time.
-
SKAdNetwork delays + aggregation
- Postbacks are delayed (often days), data is aggregated, and subscription events lag installs.
- So daily reporting will drift, even if nothing “changed”.
-
Attribution window mismatch
- Different click/view windows create different answers to the same journey.
The fix they recommend: stop trying to make one dashboard ‘the truth’
Their most actionable idea is a measurement hierarchy:
- First-party data = revenue truth (subscriptions, renewals, churn)
- MMP = channel attribution and deduped comparisons
- Ad platforms = optimization signals (best for delivery, worst for unbiased reporting)
In other words, your reporting argument is usually a category error.
What to do next (tiny wins)
- Pick one “revenue truth” metric (paid starts, net revenue, or renewal rate) and make it your non-negotiable weekly anchor.
- Align attribution windows across tools where possible, and write down what you are using (so Finance and Growth stop comparing apples to bananas).
Read the original: https://www.airbridge.io/blog/why-mobile-attribution-numbers-dont-match-ad-platforms-vs-mmp-vs-first-party-data
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