One click on the 🔥 button and your live page lights up: green-to-red
click density over the real site, a ranking of your most-clicked elements,
and flags for dead clicks and rage clicks. First-party data, no sampling —
every real interaction, split by device.
The real thing: seven live screenshots below ↓
A 2% conversion rate tells you something is wrong — not what, and not where. Classic heatmaps fix half of that, then break the other half with sampled data and static screenshots.
Dashboards count clicks and sessions in aggregate. None of them says "people keep clicking this image that isn't a link" — the single most fixable UX bug on most sites.
Third-party heatmap tools render heat over a frozen snapshot — often at the wrong viewport, months stale, and blind to how your responsive layout actually behaves per device.
Vendors sample traffic and infer device from user-agent strings. Your heatmap becomes an estimate of an estimate — fine for trivia, useless for redesign decisions.
The heatmap renders inside Digenio's Page Preview — your real site, correct responsive framing, analytics header included. Not a screenshot.
Every click aggregated on a 20×20 grid and rendered as smooth green→yellow→red heat blobs. Colour is relative to the hottest area in your date range, with an intensity slider for sparse or dense pages.
Density mapDesktop, tablet and mobile each get their own heat map — and the live preview reframes to 375px / 768px so you read the heat against the correct layout. Device class comes from the recorded viewport, not user-agent guessing.
Responsive truthA side panel ranks your top 15 most-clicked elements — tag, label, click count — so "what do people actually press on this page" is answered in one glance.
Top 15Clicks on elements that produced no visible reaction — non-interactive images that look clickable, links going nowhere. Each flagged element shows its dead-click count directly in the ranking.
FrictionThree or more rapid clicks on the same element — the frustration signal that precedes abandonment. Spot broken buttons and stuck spinners before they show up as churn.
FrustrationHow far people actually get, bucketed from 0–9% to 100%. Pair it with the fold-anchored heat map to decide what moves up — and what nobody ever reaches.
Fold analysisDigenio's first-party tracker logs every click, dead_click, rage_click and scroll_depth event with element metadata and coordinates — 100% of sessions, no sampling.
Each click joins its session's page_view to recover the true viewport, then normalises onto a 20×20 grid — so desktop and mobile clicks become comparable heat.
The API ranks elements, counts dead and rage clicks, and buckets scroll depth for your chosen date range — per page, per device class.
Heat renders on an HTML canvas over the live page preview — hover hotspots for element details, switch devices, lock scroll for reading or unlock to browse the real site.
Every shot below is live from the v2 Heatmap — real sites, real sessions, including our sister brand Websfarm under the lens. No mockups, no stock dashboards. The product UI ships in English and Italian.
"Analyzing: /resources (292 views)" — the picker lists every tracked page with its view count, and one button, "Open with overlay", drops the heatmap straight onto the real page. No export, no screenshot gymnastics: the site renders underneath, the heat renders on top.
The whole targeting system in a single toolbar: analyzed page (/resources), date range 05/09 → 05/10/2026, a Compare checkbox for period-over-period, and the device trio with live counts — Desktop 2 this period. "Heatmap" toggles the overlay; "Open Direct" shows the page clean, side by side with the heat view.
The device toggle carries its own counts: Desktop 2 selected, tablet and mobile empty this period. When a phone cohort shows up, the same page re-heats for thumbs — menus fold, CTAs move, and the blobs land somewhere else entirely. Blending devices into one map is how teams misread heat; we keep them apart.
The overlay itself: the real page, fully rendered, with heat clusters exactly where people clicked and tapped — here concentrated on the navigation, the AI menu and the hero CTAs of the analyzed site, fading to cool everywhere else. The badges tell the engineering story: "fold-relative view (viewport-anchored)" — heat is anchored to what visitors actually saw, and "scroll locked" keeps the map honest while you browse.
Every heat cluster drills down: hover and the tooltip names the exact element — tag, visible text, click count. Here a link ("Shadow AI Audit — Find every AI tool your…", 1 click) under the hero of the analyzed page. The blob is the question; the tooltip is the answer; the fix meeting takes five minutes.
The side panel turns heat into a ranked table: "AI" button 14 clicks, inputs 8, "Resources" 8, "AI Act Quiz" 7, "Request a Diagnostic" 4… 68 heat points on the map, all devices, current range. Below it, scroll depth in six bands — 455 sessions reach 75–99%, 208 hit the absolute bottom, and nobody stops before 25%. An opacity slider tunes the overlay when you present it.
The period strip framing every map: 725 pageviews, 659 unique visitors, 28s average time, 97.7% bounce, 2 conversions — plus a traffic sparkline with forecast tail, 4,205 total users (4,327 sessions) and new/returning split (4,196/9). A 97.7% bounce with two conversions is a very specific story: narrow, but it closes. The heatmap shows you where; this strip tells you how much it mattered.
No third-party pixel, no traffic sampling, no cross-site data pooling. The heatmap reads the same tracking layer that powers every other Digenio AI view.
See exactly which marketing drives revenue —
from first click to closed deal.