Core Principles
The essence of the DDP+COD model is extreme buyer convenience and extremely high seller risk. Therefore, markets and products suitable for this model must meet one core requirement: they can enhance seller risk and control to a level sufficient to cover the additional costs and risks, ultimately facilitating transactions and generating profits.
I. Suitable Market Characteristics (Market Selection)
Markets suitable for DDP+COD typically have one or more of the following characteristics:
- E-commerce infrastructure is developing, but the payment trust system is immature.
Typical examples include Southeast Asia (such as Indonesia, the Philippines, Thailand, and Vietnam), the Middle East (such as Saudi Arabia and the UAE), and some Latin American and Eastern European countries.
Analysis of the Causes:
Low Bank Penetration: A large population lacks credit cards or bank accounts.
Lack of Electronic Payment: The local e-wallet system is complex, making cross-border payment integration difficult.
Low Online Shopping Trust: Consumers are skeptical of the “pay now, receive later” online transaction model, fearing they will not receive the goods they paid for or that they will not be the same as described.
COD is the norm: Cash on delivery (Cash on Delivery) is the mainstream e-commerce payment method in the region, and consumers have become accustomed to it.
- Relatively clear and stable customs and tax systems
Analysis: Although DDP requires the seller to assume the responsibility for customs clearance, if the destination country’s customs policies are transparent, stable, and predictable, sellers can use professional freight forwarders to accurately calculate costs. If the customs environment is corrupt and rules fluctuate arbitrarily, the seller’s customs clearance risks and costs will be uncontrollable.
Relatively suitable: Southeast Asian countries such as Malaysia and Thailand, as well as Europe (VAT systems are very clear, but are often deducted by the platform, so independent website sellers should be particularly aware of this).
Ultimate caution is required: In countries with inefficient customs and high levels of corruption, the DDP model can be fraught with pitfalls.
- Relatively reliable logistics network
Analysis: DDP+COD requires that goods must be accurately delivered to the customer for the transaction to be completed. If the local logistics network has poor coverage, high loss rates, and slow delivery times, this can lead to a surge in rejection rates and significant losses.
Suitable market: Capital cities and major cities generally have better logistics networks. Therefore, the DDP+COD model is more suitable for these core urban clusters.
- Consumers have a strong preference for “all-inclusive” pricing.
Reason: Consumers in these markets strongly dislike “hidden fees.” If they see a product priced at $20, only to be charged $25 (including tax and shipping) at checkout, they will feel cheated and abandon the purchase. The “what you see is what you get” all-inclusive pricing offered by DDP significantly increases conversion rates.
II. Suitable Product Characteristics (Product Selection)
Products suitable for DDP+COD must maximize conversion rates while minimizing the risks inherent in the model.
✅ Ideally Suitable Product Types:
High-value-added, high-profit products
Examples: Electronics (mobile phones, headphones, smartwatches), branded clothing, jewelry, designer homewares, and high-end cosmetics.
Reason: The profit margin is large enough to cover the high logistics and tax costs of DDP and the rejection risk of COD. Even with a 15% rejection rate, the profit from the remaining 85% of orders is sufficient to offset this.
Small and light products
Examples: Clothing, accessories, small household items, books, and small toys.
Reason: International shipping costs are calculated by weight and volume, making the logistics costs of small and light products manageable, making the total price more competitive. Furthermore, the secondary shipping costs associated with returns and exchanges are minimized.
Products with low barriers to entry and impulse purchases
Examples: Fashion fast-moving consumer goods, novelty toys, creative gifts, and influencer products.
Reason: COD lowers the barrier to entry for consumers to make purchases. The “try before you buy” mentality encourages impulse purchases, significantly increasing conversion rates.
Standardized products with no size or specification concerns
Examples: Standardized electronics, books, and brand-name standard products (such as a specific lipstick).
Reason: Clear product descriptions minimize the likelihood of consumers rejecting products due to “not as described,” thus reducing rejection rates.
Products that are not fragile or easily damaged
Reason: Low shipping losses reduce customer rejections and disputes caused by damage.
❌ Product Types Not Suitable for This Category:
Low-value-added, low-profit products
Examples: Daily necessities, cheap stationery, and heavy, common goods (such as screws).
Reason: The product’s inherent profit margin is extremely thin. DDP logistics and tax costs can far exceed the product’s value. Combined with COD fees and the risk of rejection, losses are inevitable.
Heavy and overweight products
Examples: Furniture, large appliances, and fitness equipment.
Reason: International shipping is extremely expensive, and the cost per unit weight is staggering. If a shipment is rejected, the round-trip shipping costs can be catastrophic, and returns are extremely difficult.
Customized and personalized products
Examples: Custom dresses, gifts with personal photos, custom-sized cabinets.
Reason: If a shipment is rejected, the product is virtually unsaleable, resulting in a 100% loss.
Food and health supplements with a short shelf life
Reason: The long international shipping time and potential customs clearance delays can lead to product spoilage, creating a high risk of product deterioration.
Products with High Legal and Regulatory Risks
Examples include electronic products containing batteries (complex certification requirements), pharmaceuticals, medical devices, and infant food (strict standards).
Reason: DDP requires the seller to be responsible for customs clearance. These products are highly susceptible to detention, fines, or destruction at the destination country’s customs, resulting in loss of both money and goods.
III. Seller Capability Requirements
Not all sellers are suitable for DDP+COD. The following capabilities are essential:
Strong supply chain and cost control capabilities: Ability to obtain competitive product pricing and accurately account for all hidden costs.
Professional logistics partners: Must work closely with a reliable freight forwarder familiar with the destination country’s customs clearance procedures.
Data-driven risk management capabilities: Ability to accurately predict and monitor rejection and return rates, optimizing them as core KPIs.
Sufficient Cash Flow: The COD model has a long payment cycle, requiring sufficient funds to support operations.
Localized Market Insights: Understanding the target market’s consumer habits, laws, regulations, and cultural taboos.
Summary and Decision Checklist
When deciding whether to adopt the DDP+COD model for a particular market or product, ask yourself the following questions:
Question: If the answer is “yes,” then it’s a better fit.
Market: Do consumers in the target market generally rely on COD payments?
Are the customs procedures in the target market relatively clear and transparent?
Is the local delivery network in the target market reliable?
Product: Does the product have a gross profit margin of 40% or higher?
Is the product lightweight, non-fragile, and standardized?
Is the product a high-converting impulse purchase?
Seller: Do I have a reliable freight forwarder capable of handling DDP customs clearance?
Can I afford a potential rejection rate of 15%-20%?
Do I have sufficient cash flow to support a longer payment cycle?
Final Recommendation: Start by selecting a competitive product and conducting a small-scale test of DDP+COD in a core target market. Strictly monitor the data, especially the rejection rate and net profit per order. Once the model is proven viable, gradually expand the scale.