GTM Sauce

Practitioner pattern · Marcus Burke (Sells Meta ads consulting to subscription apps and plans a paid Meta ads email course)

Ask new users their age, gender and how they found you

Gives sample data per channel and age where SKAN misses up to ~50% of trials

Workedanalytics-attributiononboarding

What they did

Because Meta passes no user-level data and SKAN often underreports ~50% of trials, add onboarding questions: age, gender, and 'Where did you hear about us?'. Use answers as samples, not one-to-one attribution (users name their first touch, e.g. a friend). Compare value by channel (Meta vs TikTok vs organic) and by age band against Meta's age/gender reporting, e.g. if 45-54 is 5x more valuable than 18-24, check whether the 18-24 cost per install is really 5x lower.

What happened

Guest says this groundwork is now standard among advertisers who regained confidence in Meta.
Stage
growth
39:43
“So that's why it's super important to really have an onboarding that enriches that data again, so that you ask questions: How old are you? What's your gender? Where did you hear about us?”
Marcus Burke
16:14
“Most advertisers are asking for age and gender of users, which is super helpful because Meta always reports you their data on age and gender level.”
Marcus Burke

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