Exposure
Search impressions, browse placement, and custom product page traffic — each needs its own baseline before you call a creative “winner.”
Analytics lab
App Store Performance Analytics without the theater
A working definition we teach: the discipline of connecting listing exposure, conversion quality, and post-install health so release decisions stop relying on gut screenshots.
Conversion
Page-view to download rates segmented by source. We teach sample-size floors so tiny swings stop driving icon redesigns.
Quality
Day-1 and day-7 retention, refund spikes, and crash overlays that reveal when store wins hurt the product.
Weekly ritual we recommend
- Lock a North-star store metric for the quarter.
- Annotate every metadata change on the same calendar.
- Review one failed experiment without blame.
- Publish a one-page readout for UA and product.
Go deeper in a course
Store Signal Lab walks through these layers with live critique. Prefer a private workshop? Ask about Orbit.