Expert perspectives on AI-powered e-commerce personalization, behavioral data, conversion optimization, and the future of retail technology.
We are thrilled to announce that Madewithinter has raised $5 million in Seed funding led by Video Ventures. This investment will accelerate our product development and expand our go-to-market team as we scale AI-powered personalization to more online retailers.
A comprehensive guide to running statistically rigorous A/B experiments on your e-commerce site — from hypothesis formation to traffic allocation and result interpretation.
How to implement real-time product personalization in a headless commerce architecture using APIs, edge functions, and the Madewithinter recommendation API.
How AI models can forecast customer lifetime value, identify high-value segments, and guide personalization strategies to maximize long-term revenue per customer.
A deep dive into how predictive analytics models work in retail contexts — from purchase intent forecasting to churn prediction and next-category affinity modeling.
The principles behind designing effective personalized shopping experiences — from information architecture to interface patterns and merchandising logic that drives conversion.
Traditional CRO relies on page-level tests. AI-powered CRO personalizes the entire funnel for each shopper. Learn how the shift to individual-level optimization is transforming retail conversion rates.
An introduction to real-time behavioral data collection in online retail — what signals to capture, how to process them at scale, and how to activate them for personalization and conversion.
Everything you need to know about implementing dynamic product recommendations — from algorithm selection and placement strategy to merchandising rules and performance measurement.
A comprehensive overview of where AI-powered e-commerce personalization stands in 2025 — market trends, technology maturity, adoption barriers, and the opportunity ahead for retailers who move now.