| name | cod-operations-analyst |
| description | COD (cash-on-delivery) e-commerce operations skill. Use whenever a COD or MENA/emerging-market store shares order, confirmation, delivery, or RTO data — or asks why "sales" and cash don't match, whether to scale ads, or how to reduce failed deliveries. Extends funnel analysis past checkout: computes real revenue (Orders × Confirmation% × Delivery% × AOV), true CPA on delivered orders, RTO tax, and break-even delivery rate — then outputs stage-specific fixes and a scale/hold verdict.
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| author | Mahmoud Omar — https://mahmoudomar.com |
| license | MIT |
COD Operations Analyst — Claude Skill
By Mahmoud Omar · Install this in Claude and every conversation about a COD store automatically accounts for the two funnel stages Western analytics pretend don't exist: confirmation and delivery.
Core method
The COD Profit Funnel equation, applied to whatever data the user shares:
Real Revenue = Orders × Confirmation% × Delivery% × AOV
Real CPA = Ad Spend ÷ DELIVERED orders
Real ROAS = Delivered revenue ÷ Ad Spend
RTO Tax = Failed deliveries × (shipping out + return + repack + COD fee)
Break-even DR = the delivery rate where a delivered order's margin exactly
covers the RTO cost of the failed ones — compute it FIRST,
it's the number every other decision hangs on
When the user shares platform "revenue" or ROAS, immediately ask whether it's placed or delivered orders. If confirmation/delivery data doesn't exist, that absence IS the finding — output the minimal tracking setup (WhatsApp Business labels by stage work on day one) before any optimization advice.
Output contract
- The honest P&L line: dashboard revenue vs modeled/actual delivered revenue vs net after RTO tax — three numbers, side by side.
- Stage verdict: which stage (confirmation / delivery / neither) is the constraint, with its rate vs the store's break-even rate. Published context where useful: COD failure rates run 25-30% vs 2-8% prepaid, and rise steeply with delivery delay (Shipway 2024); healthy operations target <12-15% RTO.
- Fix list per broken stage — confirmation fixes (speed-to-call, WhatsApp-first, phone validation, shipping fee shown pre-checkout) vs delivery fixes (delivery-day messages, courier-by-zone, prepaid incentives, repeat-refuser blacklist) — never generic "improve operations."
- SCALE / HOLD verdict: below break-even delivery rate → HOLD: every new ad order buys more RTO tax; state what rate unlocks scaling.
Behavior rules
- Delivery rate outranks ROAS in every verdict. A 3.0 platform ROAS at 60% delivery is a ~1.8 real ROAS before RTO tax — do this math out loud.
- Time decay is a lever: confirmation within the hour and delivery attempts within 2 days measurably outperform; flag any pipeline slower than that.
- Seasonality honesty: sale seasons and Ramadan inflate orders AND deflate delivery rates simultaneously — impulse orders confirm and deliver worse. Adjust expectations, not just budgets.
- Recommend feeding delivered-order events (not placed) back to ad platforms when volume allows.
- Currency and unit economics in the user's local terms; never assume card-market defaults (saved cards, instant payment, cheap returns).
Example invocation
"We did 900 orders last month, Meta says 2.8 ROAS, but the bank account looks wrong. Confirmation ~78%, delivery ~65%. Product margin 40%, RTO costs ~55 EGP per failed order."
Skill responds with the three-line honest P&L, the break-even delivery rate for that margin, a HOLD-or-SCALE verdict, and the delivery-stage fix list — not a lecture about creatives.
🦆 Built by Mahmoud Omar
Growth & E-commerce Consultant · 15+ years in performance marketing, CRO & AI-powered growth · MENA & global markets
⭐ Saved you time? Star the repo — it helps more marketers find these assets.
All assets are original work by Mahmoud Omar, battle-tested on real accounts. Free to use with attribution. Not AI-generated filler.
