Intelligence

Normal is not one number.

Reveliqo monitors people, channel and source, conversion, revenue, revenue per visit, page performance, errors, traffic quality, campaign outcomes and the funnels you mark as important. A Tuesday is compared with Tuesdays, a sale week with the pattern around it, not with a flat weekly average.

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In practice

Demo data

What should someone have told me about last night?

Checkout errors on the EU origin rose from 0.3% to 4.1% between 01:40 and 03:10, against a Sunday-night baseline. Origin latency rose across the same window. The alert went out at 01:52 with the affected routes attached.

How it helps

What Anomaly detection gives you

Baselines that know the calendar

Same weekday, recent seasonal pattern and business-defined events — launches, sales, invoicing dates — are part of the baseline. A quiet Sunday is not an incident.

Volume changes are not incidents

When a campaign trebles traffic, conversion rate usually moves with the mix. Volume and campaign changes are accounted for before anything is called unusual, and a change that is only mix is reported as mix.

Bots are separated first

Crawler surges, verified search bots and blocked attack traffic are classified at the edge, so a scrape of your documentation never arrives as a traffic anomaly on the human side.

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