HeatMapX is a WordPress plugin designed to provide visual analytics on website visitor interactions. It enables site owners to see where visitors click, how far they scroll, and which A/B test variant performs better. The plugin addresses the need for actionable insights into user behavior, supporting data-driven decisions for optimizing WordPress sites.
Installation is streamlined by automatically adding the HeatMapX tracking snippet to the site, requiring only that users paste a site key into the plugin’s settings. This eliminates the need for theme editing, allowing for a quick setup process. To ensure the accuracy of collected data, there is an option to exclude logged-in administrators from tracking, preventing their actions from influencing the heatmap results.
HeatMapX collects anonymized interaction events, including clicks, scroll depth, mouse movement, page URL, and viewport size. These events are sent to an external service hosted at heatmapx.com. The plugin also supports A/B testing, with experiments managed through the HeatMapX dashboard and utilizing the same tracking snippet as the heatmap functionality.
For users interested in automation or integration with AI agents, HeatMapX offers a command-line interface described as AI-agent-friendly, referencing compatibility with Claude Code and Codex. The service provides a free plan, allowing users to create an account at heatmapx.com and begin using the tool without cost. HeatMapX is intended for WordPress site owners seeking to understand visitor interactions and improve site performance through heatmaps and A/B testing.
HeatMapX sits in PulseGate's Analytics (BI, web, product) category. It enables WordPress site owners to visualize user behavior and optimize site performance through analytics and A/B testing. It is built as a B2B product for wordPress site owners and marketers. There is a free tier. It runs on the web.
It is developed by tcmcya, and it first shipped in 2026. Among its 5 catalogued features are heatmaps, scroll maps, and A/B testing.
Summary written by a language model from the project’s public pages.
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