Documentation that thinks in outcomes, not pageviews.
Behavioral, identity-aware, first-party analytics built for docs so you can connect content to product adoption — your readers' data never leaves your own domain.
Page traffic & scroll depth
Measure how far readers actually get on every doc and release note.
Element-level clicks
Track button, tab, video, and link interactions inside any page.
Release-note attribution
Tie product adoption back to the specific release that drove it.
Announcement reach
See how far each feature announcement travels across channels.
Single-cookie user tracking
Follow a reader across every visit with one stable identifier.
First-party by design
Analytics stays on your own domain, never sent to a third-party host — not even leed.ai.
Ad-blocker-proof
72% of developers block third-party analytics. First-party collection isn't blocked — so you capture 100% of readers, not a fraction.
Contact capture & email engagement
Turn anonymous readers into known contacts and measure follow-through.
Flow analysis
See which doc paths convert and where readers drop off.
Long-term engagement
Track how documentation health trends across weeks and quarters.
Video & audio analytics
Plays, watch time, and drop-off on every hosted video and audio file — streamed by Leed's own player, no setup required.
Menu click analytics
See exactly how visitors navigate — every menu built in Leed tracks clicks automatically.
No-loss attribution
Leed knows why each session started and keeps that reason through to the form fill — UTMs handled invisibly by our short-url system, never shown to the reader.