How I Amplitude: LTV Forecasting with Retention & the Amplitude API

​What happens when you need LTV forecasts, but don’t have the Amplitude Experiment package? You build your own—from scratch.

​In this advanced “How I Amplitude” session, Artur Markov (Product Analyst at JATAPP) will walk through the A/B testing system he built using Amplitude Retention Charts, Google Sheets, AppsScript, Amplitude’s API, and some very creative math.

​🧠 Why it’s worth showing up:

​This isn’t a talk about dashboards. Artur is pulling back the curtain on the full rebill forecasting workflow he created. From using retention charts to calculate rebill curves, to setting up a Bayesian testing engine powered by the API, to running a Sequential Probability Ratio Test (SPRT) using nothing but formulas.

​You’ll see how he:

• ​Reworked Amplitude retention charts into LTV curves

• ​Segmented cohorts using user properties (without built-in experimentation tools)

• ​Wrote custom scripts to handle Bayesian test logic and prediction modeling

• ​Applied SPRT logic to visualize when a test reaches significance

​This is a rare behind-the-scenes look at what’s possible when you push Amplitude’s APIs to the edge. You may not need complex tooling to get rigorous, real-world results.

​🎓 Perfect for:

• ​Product analysts building outside the box

• ​PMs and data scientists working around tooling gaps

• ​Teams running monetization, retention, or rebill experiments

​​​Can't make it live? Register and receive the recording!