GTM Sauce

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

Turn ads on and off, check survey and opt-in data, then set cost-per-trial goals

Scrappy model most small and mid-size teams use; no numbers

Unknownanalytics-attribution

What they did

Three inputs: (1) incrementality: switch ads on/off and watch the baseline (e.g. $2K/day on Meta lifts baseline 50%), easiest for small apps with little organic; (2) the ATT opt-in sample matched to channels; (3) the 'Where did you hear about us?' survey. From these, set cost-per-trial targets per channel (e.g. Meta worth 2x TikTok) and by country and age. Then check actual payback against the model (e.g. at $50K/month, is payback really day 8?) and revisit after ~3 months.
Stage
growth
41:31
“And one of them is incrementality, so you want to switch ads on, switch ads off, and see what's happening to your baseline”
Marcus Burke
“And from there, it's really a bit of setting your cost per trial goals accordingly, so that you know Meta is always 2x as valuable as TikTok, so we need to adjust our cost per trials based on that level.”
Marcus Burke
44:58
“then check your actuals, like don't rely on just the modeling, but make sure that you're actually recouping money in the timeframe that you're predicted it would happen.”
Marcus Burke

Related topics

Get tactics like this every Monday

New tactics from the week's founder interviews, each linked to where it was said.

More from this episode