Intelligence

The same detection, pointed at what is working.

Detection does not only find damage. The same baselines surface segments, content and sources running above their own normal — a page converting well above the site average, a source whose customers are worth more than its volume suggests — and estimate what more of the same is plausibly worth.

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In practice

Demo data

Where are we already winning, and could we buy more of it?

Comparison guides take 4% of visits and correlate with 11% of new trials, at roughly double the site's revenue per visit. Three similar queries rank on page two. The pattern holds across four weeks; the relationship remains correlational.

How it helps

What Opportunities gives you

Value, not volume

Sources are ranked on revenue per visit and customer value from connected commercial data, not on sessions. Small sources carrying high-value customers are exactly what a traffic report hides.

Headroom is stated, not implied

Each opportunity carries the volume available at the current rate and the assumption behind it. Doubling spend rarely doubles outcome, and the estimate says where that assumption stops holding.

Written as a next step

Every item names the segment, the metric, the period and the action it implies — more of this content, this source, this landing page — so it can be handed straight to whoever owns it.

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