The Install Graph Method
Six modules that turn campaign logs, storefront events, and SKAN postbacks into a graph finance will recognise.
GB teaching studio
Cloud Layerhub is a small studio that trains media, product, and analytics people to reconstruct Campaign-to-Install Attribution without pretending every tap is a device ID. We work in English, with UK store and privacy constraints in the room from week one.
Programmes
Six modules that turn campaign logs, storefront events, and SKAN postbacks into a graph finance will recognise.
ATT clocks, aggregated postbacks, and what you may still join in a GB retail or fintech context.
When the creative won the click but the listing lost the install — and how to write that up.
median lift in matched conversions after the first live board, across last year’s Lab Seat groups.
guided desk time in the flagship, not including the overnight data homework.
cohorts a year, capped so tutors still read every install graph.
fees on this site are informational; enrolment is arranged by conversation.
How we teach
Most teams already have MMP dashboards. The gap is the sentence that explains why campaign A owns an install that arrived after a store search. We drill that sentence until it survives a sceptical CFO.
You bring a real (redacted) media export. We refuse synthetic “perfect” datasets except for the first afternoon, because they hide the messy timestamps that GB iOS traffic actually produces.
“The Install Graph Method finally made our SKAN buckets talk to the Meta export. I still dislike how sparse week-one postbacks are — the tutors did not pretend otherwise.”
★★★★☆Desk Pass was enough to stop our agency sending us last-click CSVs as if they were the install truth. Would have liked a second evening on Android Play referrers.
If you already fight over which campaign owns a Saturday-night install, you are the reader we wrote the lab for.
Write to the studio