WhatsApp Orders Profit Calculator
True profit for direct WhatsApp commerce including payment fees, delivery, and COD charges.
Calculator setup
Country changes currency, presets, Sales tax wording and relevant marketplace fields.
Core pricing
Minimum inputs only. Fee presets run automatically in the background.
Delivery
Minimum inputs only. Fee presets run automatically in the background.
Returns
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Other
Minimum inputs only. Fee presets run automatically in the background.
Results update automatically
Specialist notes
Calculate profit for WhatsApp-based direct sales including payment gateway fees, Cash on Delivery (COD) charges, delivery cost, packaging, and any payment collection fees for MENA, South Asia, and Africa sellers.
WhatsApp commerce is zero-fee from Meta's side — your only costs are payment processing and delivery. This makes it one of the highest-margin channels when done at scale.
COD (Cash on Delivery) is dominant in MENA, South Asia, and Africa. Offer both prepaid and COD to maximise conversions while managing cash flow.
Build a proper order management system even for WhatsApp orders. Unorganised WhatsApp selling at scale leads to errors, missed orders, and poor customer experience.
WhatsApp broadcast lists are powerful for re-marketing to past buyers. Repeat customer LTV is typically 3–5x a first-time buyer — focus on retention.
Use WhatsApp Catalogs to make it easier for buyers to browse products without you individually sending images for every enquiry.
WhatsApp Commerce Profit Calculation for Direct Sellers
WhatsApp-based commerce is one of the fastest-growing eCommerce channels in MENA, South Asia, Sub-Saharan Africa, and Southeast Asia. Unlike marketplace selling, WhatsApp commerce has no platform selling fee — your costs are payment processing, delivery, and optionally WhatsApp API fees for automation. Cash on Delivery (COD) is dominant in many of these markets, adding a COD collection fee (typically 1–3%) from logistics partners. This calculator helps WhatsApp sellers understand their true per-order economics across the full cost stack.
