Docs/Revenue Attribution

Revenue Attribution

Shingo doesn't just find bugs. It tells you how much each bug costs. Every finding is tagged with a dollar amount, so your team can prioritize by business impact instead of guessing.

How attribution works

Shingo connects billing data from Stripe to behavioral data from your analytics tools. When a technical issue blocks or degrades a revenue-generating flow, Shingo calculates the impact by analyzing:

Affected sessionsHow many user sessions hit the issue during the analysis window
Revenue per sessionAverage revenue generated by unaffected sessions on the same flow
Conversion deltaThe drop in conversion rate caused by the issue vs. the control group
Annualized impactProjected yearly revenue loss if the issue remains unfixed

Revenue impact categories

Not all revenue impact is the same. Shingo categorizes each finding by the type of revenue effect:

Blocked revenue

Users are actively trying to pay but can't. Broken checkout flows, failed payment processing, or inaccessible upgrade paths.

Churned revenue

Users leave because of a degraded experience. Slow performance, repeated errors, or broken features that drive users to cancel.

Missed expansion

Users who would upgrade or increase usage are blocked by technical issues. Feature gates, permission errors, or broken upsell flows.

Delayed activation

New users who should convert are dropping off during onboarding due to technical issues in the signup or first-use flow.

Cohort-based analysis

Revenue impact isn't evenly distributed. An issue affecting your top-LTV enterprise customers has a different dollar value than one affecting free-tier users. Shingo segments findings by:

  • Plan tier (free, starter, pro, enterprise)
  • Account age and lifetime value
  • User role (admin, member, viewer)
  • Geography and platform (mobile, desktop, API)
  • Custom segments from your analytics tool