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Work the drop down to the segment that carries most of it.

Ask why trials are down and the agent writes an analysis plan, then works through it: confirm the anomaly, compare traffic volume, channel mix, landing pages, devices and browsers, performance and errors, check the deployment and campaign annotations, then rank the strongest explanatory correlations.

Root Cause Analysis

  • Visible step-by-step analysis plan
  • Splits by channel, page, device, geo
  • Deployment and campaign annotation checks
  • Ranked explanatory correlations, not verdicts

How it helps

What Root Cause Analysis gives you

1

The plan runs in the open

Every step is a query you can read: the anomaly confirmation, each segment split, the annotation check. Stop at any step, change a filter, and the investigation continues from there rather than starting again.

2

Correlation is labelled as correlation

When a fall begins shortly after a release, Reveliqo says the fall begins shortly after the release. It ranks the strongest explanatory correlations and states that causation has not been proven, because it has not.

3

The total is rarely the story

A falling total often hides a steady majority and one abnormal slice — a single landing page, one browser after a release, one country’s paid campaign. The plan keeps splitting until that slice is isolated or the data runs out.

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