Maestro Pizza
Maestro Pizza partnered with Snapchat to test Unified Attribution in MENA with app installs as a primary optimization goal. By combining MMP signals with Snap first-party data, Unified Attribution enabled optimization against a more unified view of performance that was better aligned with MMP-reported outcomes. Compared with Snap’s traditional 1P optimization setup, the campaign delivered a 52% lower cost per app install, as reported by Adjust.
Maestro Pizza partnered with Snapchat to test Unified Attribution in MENA, with app installs as a primary optimization goal.
This solution combines MMP signals with Snap first-party data, giving the algorithm a more unified view of performance and enabling optimization that is better aligned with MMP-reported outcomes. For app marketers focused on efficiency, that stronger alignment can make a meaningful difference in performance.
By testing Unified Attribution against Snap’s traditional 1P optimization setup, Maestro Pizza was able to significantly improve MMP-attributed efficiency.
As reported by Adjust, the campaign delivered:
52% lower cost per app install
2x volume of installs
7x volume of purchases
86% cheaper cost per purchase
The results reinforce the value of Unified Attribution for advertisers looking to drive more efficient app acquisition and downstream purchases through a measurement approach that better reflects reported outcomes.
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