GTM Sauce

Life360 · B2C · family location and safety app

Show the top-price plan on the paywall only to people a model predicts will buy it

Doubled new Platinum subscribers without losing a single Gold subscriber

Workedpaywallpricingexperimentation

What they did

Three tiers (Silver, Gold, Platinum); most users pick Gold and the paywall can't explain everything, so it normally leads with Gold. A machine-learning model using ~900 data points per user (profile, behavior, previous experiment results) predicts propensity to buy Platinum (wider roadside assistance range, identity protection, more services). High-propensity users are shown Platinum instead of Gold. Part of an ML targeting/orchestration layer built in the last year that also targets promotions, feature education, push notifications and in-app messages.

What happened

Share of new users subscribing to Platinum doubled with zero loss of Gold subscribers; the model found users who would not have bought Gold.
Stage
scale
“And so we use machine learning to target platinum to people that we thought based on data, based on previous experiments, based on profile, we have about 900 data points that we use for that.”
Giordano Contestabile
“It doubled the percentage of new users that subscribing to platinum. So that was already very, very good. But it did that without losing a single gold subscriber, which was super surprising.”
Giordano Contestabile
“this machine learning layer orchestrates a lot of the things that the people see in the app in terms of paywalls and push notifications, in app messaging, et cetera, et cetera.”
Giordano Contestabile

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