Stop Guessing Why Revenue Changed.

CAPTRAQ automatically reconstructs revenue incidents and generates evidence-backed explanations of what changed, why it happened, and what to do next.

Revenue Investigation

Payment Processing Incident

Confidence

82%

Revenue Drop

-11.2%

Primary Cause

Pricing Config

Time to Root

12 minutes

Event Timeline

Evidence 1

API Latency +340%

Evidence 2

Tx Failures +420%

Revenue changes should not take days to explain.

When revenue drops, companies enter a cycle of internal disagreement:

  • Financeinvestigates numbers.
  • Engineeringreviews deployments.
  • Productreviews experiments.
  • Leadershipwaits for answers.

Days pass before a shared understanding emerges.

CAPTRAQ replaces this process with structured, evidence-based investigations.

From Monitoring to Revenue Investigation

Traditional Systems

  • Dashboards
  • Alerts
  • Logs
  • Postmortems

CAPTRAQ

  • Revenue investigations
  • Ranked causal hypotheses
  • Evidence-backed reasoning
  • Decision-ready output

How CAPTRAQ Works

1

Revenue change detected

CAPTRAQ identifies anomalies in revenue metrics across all sources and dimensions.

2

System reconstructs events and correlates signals

CAPTRAQ queries events, analyzes user behavior changes, and correlates signals from engineering systems.

3

CAPTRAQ generates ranked causal investigation

You receive ranked hypotheses, supporting evidence, rejected explanations, and recommended actions.

Live Investigation Reports

See how CAPTRAQ investigates real revenue-impacting incidents.

Report#001

Pricing Configuration Change

Revenue Impact

-11.2%

View Investigation →
Report#002

Subscription Renewal Failure

Revenue Impact

-8.7%

View Investigation →
Report#003

Checkout Conversion Degradation

Revenue Impact

-13.9%

View Investigation →

Interactive Investigation Demo

Experience how CAPTRAQ reconstructs a revenue incident in real time.

Investigation Status

Analysis Complete

Confidence Score

87

%

Timeline Preview

08:00Revenue change detected
10:24Investigation started
10:45Root cause identified

Evidence Preview

Primary Finding

Payment API Latency +340%

Supporting Evidence

Transaction Failures +420%

Correlated Metric

Checkout Abandonment +35%

Built for High-Stakes Revenue Decisions

Pricing Changes

Understand revenue impact of pricing experiments and tier adjustments instantly.

Billing Failures

Identify payment retry failures and reconciliation issues before they compound.

Checkout Conversion Drops

Detect and investigate checkout funnel degradation with complete causality.

Trusted by modern revenue-driven teams

Enterprise

SaaS Co

Finance

Platform

Revenue

Operations

B2B

SaaS

Understand Revenue Changes Before Your Next Executive Meeting.

Join the early access program for CAPTRAQ.