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Intelligence

The analyst that never stops looking.

Most analytics waits to be asked. Reveliqo watches traffic, conversion, revenue, performance and traffic quality continuously, decomposes what moved, and puts the result in front of you before you thought to check.

Everything here produces an explanation with its evidence attached. None of it produces a number — that job belongs to the metrics engine, deliberately.

Demo data

Today

People
2,842
+14%
Conversions
94
+21%
Revenue
€18,420
+17%

Three things worth knowing

  1. 1Organic traffic is growingContext

    Most of the increase arrived through two product guides, but their trial conversion stayed below the site average — so the extra visits have not yet turned into proportional signups.

  2. 2AI referrals carry a disproportionate share of new revenueWorking

    AI assistants delivered 2.8% of human visits and 7.4% of new subscription revenue. The gap between those two shares is the finding.

  3. 3Mobile pricing conversion fellCheck this

    The decline begins shortly after yesterday's deployment and is concentrated on Safari. Causation has not been established.

Show me why Ask Reveliqo

Demonstration briefing. Three headline metrics for today: 2,842 people, up 14 percent; 94 conversions, up 21 percent; 18,420 euros of revenue, up 17 percent. Then three explanations: organic traffic is growing but its trial conversion stayed below the site average; AI assistants delivered 2.8 percent of human visits and 7.4 percent of new subscription revenue; and mobile pricing conversion fell shortly after a deployment, concentrated on Safari, with causation not established. All figures are demonstration data.

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.

Demo data

What an answer carries

{
  "answer":            "Mobile pricing conversion fell 27%.",
  "period":            "2026-09-20T14:00Z .. 2026-09-21T09:00Z",
  "comparison_period": "preceding 7 days, same hours",
  "metrics_used":      ["conversion_rate", "visits"],
  "segments_examined": ["device_class", "browser_family", "page", "channel"],
  "primary_evidence":  "ev_9f31c4",
  "alternative_explanations": [
    "Seasonal weekday effect — ruled out against the 7-day baseline",
    "Acquisition mix shift — channel shares within normal range"
  ],
  "confidence":        "high",
  "limitations":       "Correlation with deployment #842. Causation not established.",
  "recommended_action": "Compare the pricing flow on Safari before and after #842."
}

Every answer records the period it used, the comparison it made, the metrics and segments it touched, the alternatives it ruled out, and what it could not establish.

An answer that cannot name its period, its comparison and what it ruled out is an opinion. Reveliqo records all three, plus the explanations it considered and rejected.

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