User Behavior

A/B/n testing is a method for comparing more than two versions of a webpage or feature simultaneously to determine which variation performs best based on user data.

This article explains how session recording captures real user interactions on websites to help founders understand behavior, fix bugs, and optimize their conversion funnels without marketing fluff.

This article explains cohort analysis as a method for grouping users to track behavior over time, helping founders identify retention trends and product value beyond vanity metrics.

First-party intent data consists of behavioral signals collected directly from your own digital properties to understand prospect readiness and improve decision making without relying on outside providers.

This article defines heatmaps for entrepreneurs, explaining how visual data tracking helps startups identify user friction and optimize digital products without relying on complex marketing fluff.

A scrollmap is a visual data tool that shows how far users scroll down a webpage, highlighting which content is seen and which is ignored.

This article defines exit rate for startup founders and explains how to distinguish it from bounce rate to make better data-driven decisions for website and funnel optimization.

Social proof is a psychological phenomenon where people mirror the actions of others to find the correct behavior, acting as a critical tool for building startup credibility and trust.

Understand the F-Pattern layout to optimize how users scan your content and improve information retention in your startup’s digital products.