The post-iOS playbook: measuring what the platforms can't see

The post-iOS playbook: measuring what the platforms can't see
01
Introduction
02
The challenge
03
Key results
04
Summary & learnings

Summary

Since the privacy era began, ad platforms report a smaller and smaller slice of reality. The brands that keep scaling anyway are the ones that stopped arguing with attribution windows and built their own view of truth. This is the measurement stack we recommend — pragmatic, not academic.

Triangulate, don't trust

No single source is honest anymore. Platform-reported ROAS flatters itself, last-click undercounts discovery channels, and surveys arrive late. The answer is triangulation: read platform numbers as directional, hold blended MER as the budget's bottom line, and let incrementality checks referee disagreements between them.

When all three point the same way, act with confidence. When they diverge, that divergence is itself the insight.

The post-iOS playbook: measuring what the platforms can't see

Make the blend your dashboard

We anchor every account to a simple weekly view: total revenue over total spend, split by new versus returning customers. It's crude, it's unfakeable, and it catches problems that channel dashboards hide — like paid social quietly harvesting customers that email already owned.

Cheap incrementality beats no incrementality

You don't need a data science team. Geo holdouts, on-off spike tests on a single channel, and post-purchase “how did you hear about us?” surveys cost almost nothing and settle the arguments that matter — especially for channels the pixels barely see.

Measure less, but measure things you can defend. In the post-iOS world, a defensible approximation beats a precise fiction.

Author avatar
Eva McMillan
Head of Marketing at Onpressive

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