Intelligence

Two periods, on the same footing.

Compare any two periods or segments: this month against last, the fortnight before a campaign against the fortnight after, mobile against desktop, one country against another, organic against paid. Composition changes are reported beside the headline, because a mix shift explains more comparisons than anything else.

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In practice

Demo data

Did anything change after Tuesday's release?

Across the 72 hours either side: visits within normal range, conversion down 6% sitewide. Most of that difference sits with returning mobile visitors, while new-visitor conversion is flat. The shift lines up closely with the release, which does not establish cause.

How it helps

What Compare periods gives you

Like-for-like by default

Periods are aligned on weekday and length, and partial days are excluded. Setting a 31-day month against a 28-day one at face value is the oldest reporting error there is.

Mix is separated from rate

A comparison splits how much of the change comes from a different traffic mix and how much from behaviour inside each segment. The two have different owners and different fixes.

Deployments and campaigns are markers

Release and campaign timestamps set the boundary, so before-and-after runs on a real event rather than a calendar. The result is still a correlation and is labelled as one.

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