Skip to content
Product
Product Overview
AI agents for every user
Recommender
Adaptive recommendations that convert
Agentic Infrastructure
Infrastructure for personalized experiences
Integrations
Connect data, content, and channels
Solutions
For Teams
Data Science
Generate clean data from engagement
Lifecycle Marketing
Context-aware engagement at scale
Product Management
Turn behavior into product insight
Blog
About
Book a Demo
Customer Login
Data Science
Subscribe ›
November 9, 2026
•
Patricia Lazatin
When the Goal Only Happens Once, Teach Agents With Leading Indicators
February 2, 2024
Schaun Wheeler
“How do I know it works?” A (somewhat) technical explanation of Aampe’s learning systems
Read More ›
January 5, 2024
Team Aampe
How to use semantic tagging for more effective user segmentation
Read More ›
November 21, 2023
Schaun Wheeler
Drop Last Touch Attribution: How Machine Learning is Changing Marketing.
Read More ›
October 31, 2023
Schaun Wheeler
Markov models vs. Naive Bayes: How to scale propensity models for in-app behavior and retention
Read More ›
September 21, 2023
Jim Laurain
Every statistic you’ve ever read about churn and retention is wrong. Here’s why.
Read More ›
September 19, 2023
Jim Laurain
Clustering: The New Approach to Market Segmentation
Read More ›
July 3, 2023
Schaun Wheeler
Solving model class imbalance through class construction based on coverage changepoints
Read More ›
May 3, 2023
Schaun Wheeler
New on arXiv: validating Aampe performance with adaptive synthetic control groups
Read More ›
February 2, 2023
Schaun Wheeler
How do I know Aampe is actually working?
Read More ›
October 21, 2022
Schaun Wheeler
How user journeys hurt your business (with proof)
Read More ›
October 6, 2022
Schaun Wheeler
Conversion-based product recommendations
Read More ›
October 5, 2022
Schaun Wheeler
An implementation of Complement Naive Bayes for Google BigQuery
Read More ›
Load More
Explore Topics
Case Study
2
Data Science
114
Lifecycle Marketing
122
Product
41
Search