Optimize to paying subscribers 
and not just trials

Performance marketing consultancy for subscription apps

Flowchart showing user journey: installs app, completes registration, starts trial, possible signal loss, subscribes between days 7-30. Initial steps occur within days 1-2.

Observed challenges

Marketers are optimizing to ‘CPT’ due to signal loss from ATT & SKAN

Typically applying average historic conversion rates to estimate CAC or a CPT target.

However this approach can be incredibly inaccurate, especially at granular levels such as campaign, creative and keyword!

This leads to misinformed optimizations, ultimately driving up CAC.

Two user profiles with in-app behavior details and AI probability percentages. User 1234 has personalized profile, starts trial in 15:32, watched content 7 times, 86% AI probability. User 6789 starts trial in 4:25:11, watched content 3 times, 24% AI probability.

Our approach

Predict D30 CAC using as little as 24 hours of behavioral data

Using machine learning we predict the likelihood of users turning into subscribers and provide better signals to optimize against.

  • ⚙️Optimize to more accurate signals

  • 💸Lower your overall CAC

  • 📈Scale customer acquisition faster

icon with arrows pointing in four directions from center

Measurement & analytics audit

Ensure you have the optimal configuration when it comes to attribution & reporting. Tackle frameworks such as SKAN.

Our services

Outline of a telescope on a tripod

Predictions-as-a-service

Get up to date predictions to feed your campaign managers and ad platforms to optimize to what matters.

Ad Management

Ad channel management

Expand your ad channels effortlessly as an extension of your in-house team.

Let’s talk growth

We’d love to learn more about your growth challenges and how your currently running performance marketing. Let’s chat and see how we can help.