Intelligence

Select any number. Ask what it is made of.

Every figure in Reveliqo is selectable. Pick a chart point, a table cell, a funnel step or a segment and ask what it contains, how it is defined, what it is being compared with, and which parts of it moved since the last period.

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In practice

Demo data

What is this 41% on the checkout step made of?

41% of visits reaching checkout complete payment, counted on server-side order events for the selected period. Mobile runs at 33%, desktop at 52%. Completion has drifted down four weeks running, concentrated on one payment method.

How it helps

What Explain this gives you

Definition first, opinion second

Before any explanation, the answer restates what the metric counts and what it excludes. Most arguments about a number turn out to be arguments about its definition.

The number is never re-computed

The metrics layer computes the figure; the AI plans the decomposition and explains the result that comes back. Ask twice and the arithmetic is identical, which is the entire point.

Drill without leaving the page

Each answer offers the next cut — by device, source, country, page or customer segment — and every step keeps the filter you started from, so context survives the fifth question.

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