- contact@insightclickiq.com
- Every click, every session, explained by AI
Every <form> is analysed automatically, field by field. Only timings, counts and a length bucket are sent; the values stay in the browser.
Starts, submits, abandons, conversion and median time for the form, then each field in order: sessions that touched it, median focus time, average visits, refill rate, empty rate, the share of abandoners whose last field it was, and the error rate (an error within five seconds of leaving the field).
On the demo checkout form, 40 sessions started and 24 submitted (60%). Five of the 12 abandoning sessions stopped at city, which is also empty 24% of the time; email takes about three times as long as a typical field, with a 22.5% refill rate.

| Sent | Never sent |
|---|---|
| Field name (name, id, aria-label or placeholder-derived), type and position | The value, or any part of it |
| Focus time for this visit, number of visits, changed, refilled, empty | Password fields and anything marked autocomplete="cc-*" or card-like |
| Length bucket: 0, 1–10, 11–50, 50+ | Hidden, submit and file inputs |
| On submit: fields touched and duration; on abandon: the last field | Anything inside [data-clickiq-block] |
Type them into Ask, give them to an agent as a goal, or send them through MCP from your own assistant.
Drop a field that is mostly left empty, or move it after the step people abandon at.
Refill and error rates point at the fields whose format people get wrong.
There is no field value to leak, so there is nothing to mask after the fact.