Marketing & Sales Metrics

RTO (Return to Origin)

Ecommerce metric — % of orders that come back undelivered, typical pain point for COD-heavy Indian D2C.

RTO occurs when a delivery attempt fails (customer not available, refusal at delivery, wrong address, fake order) and the package is returned to the seller's warehouse. Cost includes: 2x shipping (forward + return), locked working capital, repackaging labor, and inventory write-down.

For Indian D2C with high COD share, RTO rates run 12-25% — a large portion of revenue lost. Prepaid orders have 1-3% RTO; COD averages 18-22%. The difference is the entire economic impact of accepting COD.

Reducing RTO: WhatsApp/SMS verification before dispatch, address auto-correction, RTO prediction ML (Shiprocket, Pickrr), incentivize prepaid (5-10% off for prepaid).

India context

RTO is the silent killer of Indian D2C economics. A brand with ₹500 AOV, 60% COD share, 22% COD RTO rate has effectively 13% of revenue evaporating. Reducing COD-RTO from 22% to 10% can transform unit economics overnight.

Examples

  • A D2C brand ships 1,000 COD orders/month at 22% RTO = 220 returns. At ₹100 shipping each + ₹600 AOV stuck for 2-3 weeks = ₹2L+ monthly drag.
  • Verifying COD orders via WhatsApp before dispatch cuts RTO from 22% to 8%.

FAQ

Why is RTO so high for COD?

Customers can refuse delivery without penalty. Often: buyer's remorse (impulse purchase), longer wait time, family disagreement, fake address. WhatsApp verification before dispatch addresses most causes.

Should I stop accepting COD?

Not entirely — COD is 40-60% of Indian online orders, and stopping means losing those customers. Better: incentivize prepaid (5-10% off), verify COD orders, and use ML to predict + decline high-RTO-risk customers.

What's an acceptable RTO rate?

Industry standard is 8-15% blended. Below 5% means you're under-using COD. Above 18% means major economic drag — needs systematic fixing.

Related concepts

CODAOVGMVShiprocketverificationshipping

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