Session replay, heatmaps, frustration signals, form analytics, funnels, journey analysis and error intelligence — all with contextual filters, and all read by the AI Insight Engine.
Watch every click, scroll, hesitation and form input in full context. Sensitive fields are masked by default, so replay stays safe to share across teams.
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Console, network and DOM events synced to the video
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Field/element/regex masking on by default
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Filter by page, device, campaign or frustration score
Replay — Checkout
● REC 00:32
0:32 / 1:14
Every session is scored for frustration automatically. Filter frustrated sessions, sort by severity and jump straight to the recordings that matter.
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Automatic frustration score per session
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Rage-click and dead-click detection out of the box
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One click from a signal to its replay
Frustration Signals — Last 24h
Rage click — /checkout
92
Dead click — /pricing
64
Quick-back — /signup
31
Rage click — /cart
18
Page- and segment-level visibility. Generate heatmaps retroactively on historical traffic, and filter by device or campaign.
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Click, move, scroll and attention layers
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Retroactive generation — no re-tagging required
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Segment by device, geo or campaign
JS errors are tied to the exact sessions they broke. Jump from replay to the error message, source and line — no more guessing what the user saw.
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Stack trace, source and line, linked to the session
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404 and broken-element detection
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Grouped by error signature, ranked by sessions affected
console — checkout.js
✕ TypeError: cannot read 'coupon' of undefined
at applyCoupon (checkout.js:214)
at onClick (CheckoutForm.jsx:88)
▲ 404 — /api/promo/validate
Linked to 47 sessions this week
Drop-offs, errors and goal impact, summarized automatically for every recording.
Rage/dead clicks, broken elements and 404s flagged the moment they happen.
Impact × effort scoring, pushed straight to Jira or Linear.
Share findings across teams in nearly any language, generated from the same summary.
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