Skip to content

The platform

9 modules. 52 capabilities. One explanation.

Reveliqo is not nine tools sharing a login. Every module reads the same four layers — edge traffic, browser behaviour, server-side conversions and commercial outcomes — which is the only reason Performance can explain a revenue movement and Traffic Quality can correct an acquisition report.

  • AI Overview
  • Ask AI
  • Acquisition
  • Content & Journeys
  • Conversions
  • Revenue & Sales
  • Performance
  • Traffic Quality
  • Live

Collection

Two sources that see different things.

The edge sees every request that reached it, including the ones a browser would never report. Smart Beacon sees what happened inside the page, which the edge cannot observe at all.

The edge sees the request

  • Page and document requests
  • Source and referrer
  • Campaign parameters
  • HTTP status and errors
  • Origin latency
  • Country and device class
  • Traffic quality classification

Smart Beacon sees the experience

  • SPA and soft navigation
  • Engagement and time on page
  • Core Web Vitals
  • Clicks and custom events
  • Form starts and submits
  • Client-side conversions
  • Content asset exposure

Underneath the explanations

Governed metrics, not a model guessing.

Every metric on this platform has one canonical definition, and the AI reaches them through approved operations rather than by writing its own queries. That constraint is what makes the explanations checkable — and what stops two screens quietly disagreeing about what a conversion is.

Demo data

How an answer is produced

  1. 1Your question
  2. 2AI analysis planner
  3. 3Semantic metrics layer
  4. 4Analytics query service
  5. 5Deterministic result
  6. 6AI explanation

Steps 3 and 4 compute every number. The model plans which question to ask and explains what came back — it never does the arithmetic, and it cannot reach data the asking user is not entitled to see.

Metrics

  • people
  • visits
  • pageviews
  • conversion_rate
  • revenue
  • revenue_per_visit
  • average_order_value
  • trial_to_paid

Dimensions

  • site
  • page
  • landing_page
  • channel
  • source
  • campaign
  • country
  • device

Diagram: a question goes to the AI analysis planner, which calls the semantic metrics layer and the analytics query service. Those compute a deterministic result, which the AI then explains. The model never calculates the numbers itself.

The story

Four layers, six steps.

01

Collect

Requests at the edge, behaviour in the browser, conversions from your server and commercial outcomes from the systems that own them.

02

Classify

Separate people from verified search crawlers, AI crawlers, other automation and security traffic before anything is counted as a visit.

03

Resolve

Every metric has one canonical definition in the semantic layer, so the brief, the funnel, the API and the scheduled email cannot disagree.

04

Investigate

Decompose what moved across channel, campaign, page, country, device, browser, performance and release, and rank the strongest explanations.

05

Explain

State what changed, what it is worth and what was ruled out — with the metric, segment and period it used attached to every sentence.

06

Connect

Follow the outcome through to the invoice, the recurring value and, where the finance system supplies it, the margin.

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.

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