Most UA teams run [15+ ad networks](https://segwise.ai/integration-docs) and a couple of [MMPs](https://segwise.ai/integration-docs), and the data never lines up. Ad networks report impressions and clicks. Your MMP reports installs and post-install events. GA4 speaks a third language. Merging them by hand is a structural nightmare, and it quietly costs teams up to 20 hours a week in spreadsheet cleanup.

The real damage is not the hours, it is the decisions you cannot make while the data is siloed. You see an install spike in your MMP but cannot tell which creative on [AppLovin](https://segwise.ai/integration-docs/applovin) or [Mintegral](https://segwise.ai/integration-docs/mintegral) caused it. You keep funding a "winner" that already started fatiguing, because your reports run 48 to 72 hours behind. And when your design team asks what to build next, you hand them a vibe instead of a brief.

The fix the industry has converged on is a creative-attribution join. Pull creative-level spend from every network. Then, instead of trusting filenames like V1\_Final\_v2, fingerprint each asset with a hash, so the same video running on Meta and TikTok under different names is recognized as one creative. Marry the two datasets on that hash.

Do that and the picture snaps into focus. You can finally see that one gameplay concept returns 4.5x on TikTok and 1.2x on Meta, which is a budget-shift decision, not a kill decision. Without the join you would have seen a mediocre blended average and probably retired a creative that was really a placement problem.

This is the core of what [Segwise](https://segwise.ai/) does: connect 15+ networks plus [AppsFlyer](https://segwise.ai/integration-docs/appsflyer), [Adjust](https://segwise.ai/integration-docs/adjust), Branch, and [Singular](https://segwise.ai/integration-docs/singular) into one deduplicated view, hash and cluster your assets automatically, and tag what is inside each one, so you see not just which asset wins where, but which elements drive it. It also imports 90 days of history on setup, so the picture is there on day one instead of building from zero.

[The full playbook for unifying scattered creative data](https://segwise.ai/blog/how-to-unify-scattered-creative-data)



The same video does 4.5x ROAS on TikTok and 1.2x on Meta. If your creative data is scattered, you will never see it.