Data Science


Leading Indicators for AI Agents When Goals Happen Once

When the Goal Only Happens Once, Teach Agents With Leading Indicators


“How do I know it works?” A (somewhat) technical explanation of Aampe’s learning systems

Read More ›

How to use semantic tagging for more effective user segmentation

Read More ›

Drop Last Touch Attribution: How Machine Learning is Changing Marketing.

Read More ›

Markov models vs. Naive Bayes: How to scale propensity models for in-app behavior and retention

Read More ›

Every statistic you’ve ever read about churn and retention is wrong. Here’s why.

Read More ›

Clustering: The New Approach to Market Segmentation

Read More ›

Solving model class imbalance through class construction based on coverage changepoints

Read More ›

New on arXiv: validating Aampe performance with adaptive synthetic control groups

Read More ›

How do I know Aampe is actually working?

Read More ›

How user journeys hurt your business (with proof)

Read More ›

Conversion-based product recommendations

Read More ›

An implementation of Complement Naive Bayes for Google BigQuery

Read More ›