Revenue Impact

Revenue impact analysis quantifies the business cost of errors by correlating error occurrences with conversion data, average order value, and customer lifetime value segments.

Calculation methodology

Revenue loss is estimated by combining error session data with conversion funnel metrics:

Revenue Loss = Affected Sessions x Conversion Rate x AOV x Drop-off Probability

Where:
  Affected Sessions  = sessions encountering the error
  Conversion Rate    = baseline conversion rate for the funnel stage
  AOV                = average order value for the site/segment
  Drop-off Probability = estimated likelihood user abandons due to error

LTV segment weighting

Errors affecting high-LTV users are weighted more heavily in impact calculations. Gurulu automatically segments affected users by their historical value:

  • High LTV (top 10%) -- 3.2x weight multiplier. These users generate disproportionate revenue.
  • Medium LTV (10-50%) -- 1.5x weight multiplier. Core customer base.
  • Low LTV (bottom 50%) -- 1.0x weight multiplier. Baseline impact.
  • New visitors -- 0.8x weight multiplier using projected LTV from similar cohorts.
revenue-impact-response.json
{
  "errorGroup": "PaymentProcessingError",
  "period": "7d",
  "impact": {
    "totalRevenueLoss": 12450.00,
    "affectedSessions": 342,
    "affectedUsers": 289,
    "bySegment": [
      { "segment": "high_ltv", "users": 45, "revenueLoss": 6800.00, "weight": 3.2 },
      { "segment": "medium_ltv", "users": 102, "revenueLoss": 3900.00, "weight": 1.5 },
      { "segment": "low_ltv", "users": 142, "revenueLoss": 1750.00, "weight": 1.0 }
    ]
  }
}

Funnel position impact

Errors closer to the conversion point have higher revenue impact. Gurulu automatically determines where in the funnel each error occurs:

  • Checkout/payment -- highest impact. Direct revenue loss per affected session.
  • Cart/add-to-cart -- high impact. Users with purchase intent are blocked.
  • Product/detail page -- medium impact. Discovery-phase users may leave and not return.
  • Landing/browse -- lower impact per session but often affects the most users.

AOV correlation

Gurulu compares the average order value and conversion rate of sessions with and without errors to measure the actual behavioral impact:

{
  "correlation": {
    "errorGroup": "ImageLoadError",
    "aovImpact": {
      "sessionsWithError": { "avgOrderValue": 42.50, "conversionRate": 0.018 },
      "sessionsWithoutError": { "avgOrderValue": 58.20, "conversionRate": 0.034 },
      "aovDelta": -15.70,
      "conversionDelta": -0.016
    }
  }
}

Dashboard widget

The revenue impact widget on the error tracking dashboard shows the top error groups ranked by estimated revenue loss. Each entry includes the affected user count, loss amount, and trend direction.

API access

# Get revenue impact for all error groups
curl https://gurulu.io/api/v1/errors/revenue-impact \
  -H "Authorization: Bearer gsk_live_..." \
  -d '{"siteId": "YOUR_SITE_ID", "window": "30d", "minImpact": 100}'

Related features: Predictions and Events & Funnels.

Edit this page