Signal before vanity
We prioritize restore integrity and refund latency over vanity conversion spikes.
Cachebenchgrid
Revenue signals your store dashboards skip
Learn In-App Purchase Analytics that hold up when refunds spike, restores return, and Southeast Asian cohorts behave unlike US baselines.
Social proof
Teams who already rewired their store metrics
Numbers from live cohorts — not a polished demo deck.
2,847 purchase events annotated in practice labs
31% median improvement in restore attribution clarity
19 Thai & regional product teams coached last cycle
Featured programs
Courses built around messy store data
IAP Signal Lab
Trace refunds, grace periods, and trial conversions until your LTV model stops lying.
Cohort Windows Studio
Design observation windows that respect Thai billing cycles and festival spend spikes.
Receipt Forensics Desk
Parse StoreKit and Play Billing payloads without drowning in noise fields.
Why Cachebenchgrid
Analytics that survive refunds, not just launches
Most dashboards celebrate first purchase. We teach you to follow the money after day seven — when grace periods, family sharing, and chargebacks rearrange the story.
Every exercise uses anonymized Southeast Asian traffic patterns so Bangkok teams are not stuck translating California defaults.
Meet the pedagogyStudio critique
Bring a live funnel slice; leave with annotated gaps your BI team can actually fix.
Thailand-aware windows
Festival calendars and carrier billing quirks are treated as first-class inputs.
Voices
What learners say after the labs
“The restore module finally explained why our Play Billing numbers never matched finance.”
Nattapong W. · Growth lead, Bangkok
“Useful, though the first week assumes you already know basic SQL joins — plan for that.”
Client in consumer subscriptions
“We rewrote our 14-day LTV window after the festival cohort exercise. Quietly huge.”
Mira · Product analytics, Chiang Mai