Intelligence

Plain questions, defined analyses underneath.

Why are conversions down this week? Which sources bring our best customers? Is our paid traffic profitable? Each question in the library maps to a defined analysis — the metrics, segments, period and comparison it runs — so the same question asked twice is answered the same way.

Start free See how it works

In practice

Demo data

Are AI assistants sending us customers?

AI assistant referrals account for 2.8% of human visits and correlate with 7.4% of new subscription revenue this period — the gap between those two shares is the finding. Referrer data is incomplete for some assistants, so read it as a floor.

How it helps

What Business questions gives you

Questions, not query syntax

Ask in plain language. The planner selects the metrics, segments and comparison; the analytics engine computes them. You see the analysis that was chosen before you read the answer.

Money questions need money data

"Is paid traffic profitable?" needs orders, margin and refunds from your finance and accounting systems alongside edge traffic. Where that data is not connected, the answer states what it cannot see.

Every answer states its limits

Questions about AI assistants, attribution windows or blocked traffic have honest boundaries. The library records what each analysis can establish, and what would need a controlled test instead.

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.

Start free See how it works

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