Intelligence

"Conversion is down" is not a finding.

An alert tells you a number moved. Root cause splits that movement across device, browser, page, source, country, campaign and customer segment, then reports which parts carry it and which sit within their normal range. The wording stays correlational, because decomposition is not a controlled experiment.

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In practice

Demo data

Conversion is down 19% this week. Where is it coming from?

The sitewide 19% decline is carried almost entirely by mobile Safari visitors on /pricing — the segment that explains most of the measured difference. Desktop, tablet and acquisition volume are within normal range. The change begins shortly after deployment #842; causation has not been proven.

How it helps

What Root cause gives you

The whole is attributed

Each contributing segment receives a share of the measured difference, and the shares reconcile to the sitewide figure. A segment that explains 9% of a 19% drop is reported as 9%, not as the cause.

Ruled-out branches are kept

Dimensions that were tested and found normal stay attached to the answer. Knowing acquisition volume held steady is often worth more to the decision than the finding itself.

Timing is evidence, not proof

Deployments, campaign changes and configuration edits sit on the same timeline as the metric. Reveliqo reports how closely they line up and states that causation has not been proven.

Evidence

Nothing here asks you to take its word for it.

Every explanation resolves to the metric, segment and period it used, alongside the alternatives it ruled out and the limits of what it can establish. The analytics engine computes the numbers; the AI explains what came back.

How evidence works

Demo data

Evidence

Mobile pricing conversion fell 27%.

Why Reveliqo says that

Traffic volume remained within its normal range. The decline is concentrated on iPhone Safari and begins 18 minutes after deployment #842.

Before deployment: 4.1%
After deployment: 3.0%
Visits analysed: 3,481
Difference: −26.8%

Metric: conversion_rate
Segment: device_class = mobile · browser_family = Safari · page = /pricing
Period: Yesterday 14:00 – today 09:00, compared with the preceding seven days

Strong correlation with deployment #842. Causation has not been proven — a controlled comparison would be needed for that.

Intelligence

The rest of the intelligence layer

Briefings

Scheduled daily, weekly, monthly, campaign and executive briefs built on the product's own metric definitions.

Anomaly detection

Watches people, revenue, performance, traffic quality and funnels against context-aware baselines.

Root cause

Decomposition that names the segment carrying the change, not just the headline.

Opportunities

Segments, pages and sources performing unusually well, and where more would plausibly pay.

Forecasts

Projections the metrics layer computes from observed trend, with the range, the assumptions and the limits stated in the explanation.

Explain this

Any figure, chart point, funnel step or segment can be opened and questioned.

Compare periods

Answers whether a change is real movement or a different mix of traffic.

Business questions

A library of the questions businesses actually ask, with the analysis behind each.

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.

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