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Conversions

Measure what mattered

The interesting number is the change in drop-off.

Build a funnel from the steps that matter, mixing layers where the outcome demands it. The analytics engine computes completion and drop-off per step against a comparison window; the AI plans the analysis and explains which step moved.

Funnels

  • Steps from edge, browser or server
  • Drop-off change detection per step
  • Segment breakdown on every step
  • Funnels compared against their own history

How it helps

What Funnels gives you

1

Steps can come from any layer

One funnel can mix a landing page recorded at the edge, a form start seen only in the browser, and an order confirmed by your server. Steps do not have to be pages, and the last one rarely is.

2

Drop-off that moved is the story

Each funnel is compared against its own recent history. The panel surfaces the step whose drop-off changed beyond ordinary variation and names the segment — device, source, country, route — that carries most of the measured difference.

3

The engine counts, the AI explains

Step counts, rates and comparison windows are computed by the semantic metrics layer against one set of definitions. The AI plans the analysis and writes the explanation; it never produces a number of its own.

Connect a site today. Read tomorrow's brief instead of building it.

Connect a site and the first brief arrives with the day's changes already explained — traffic separated from bots, conversions attached to revenue, and the evidence behind every sentence one click away.

Real people separated from bots Every answer shows its evidence Reveliqo runs on Reveliqo