Layer 1 · Event truth
Normalize purchase, renew, refund, restore, and grace events so dashboards stop double counting family shares.
Method page
In-App Purchase Analytics without the vanity layer
A Cachebenchgrid map of the signals that matter after the first charge clears.
Layer 2 · Time craft
Choose cohort windows that respect Thai billing cycles and festival spend instead of copying US SaaS defaults.
Layer 3 · Decision memos
Translate findings into one-page briefs that pricing, eng, and finance can annotate in the same document.
Where teams usually slip
Most In-App Purchase Analytics stacks look healthy on launch week. Trouble appears when refund latency stretches past the reporting cut, when restores look like new customers, or when currency fields arrive inconsistently from regional storefronts.
Cachebenchgrid drills those failure modes with annotated exports so your next LTV chart survives an awkward finance review.