Made With Intent

Made With Intent predicts each e-commerce visitor's intent in real time and an agent decides which experience to show them and when, such as a discount, social proof, an email capture or a product prompt. It is installed on a store with a single lightweight script.

A proprietary intent model tracks more than 800 behavioral signals without using personal data and estimates how likely a visitor is to buy or leave. The agent then picks the intervention with the most expected impact instead of showing the same popup to everyone.

Use cases include basket and browse abandonment, returning visits, discount targeting, messaging, product discovery, content prioritization and email segmentation. It works on any e-commerce platform, and the company also publishes research and runs an industry event.