In today's e-commerce, coupon marketing is really endless, including single product coupons, category coupons, brand coupons, no threshold coupons, full discount coupons, discount coupons, free postage coupons, and so on. The effect of coupons on merchants and platforms is also clear: attracting traffic (pulling new ones), increasing the unit price of customers, repurchasing, promoting activities, etc.
For users, the feeling of being able to get more coupons is "cool", but there are times when the head is big.
Whenever there are big promotions during the holidays (Double 11 or Double 12), the "fancy" coupons make users dazzled, and when the order is settled, there are various full reduction rules, order collection rules, full discount rules, etc. After meeting the conditions for using the coupons, I frantically cut to and fro on multiple pages to select products, and I really had to pick up consumer email list a small book and stay up all night to calculate.
The above scenario is a time-consuming and labor-intensive process, and it is easy to lose the products that you are really interested in in a large amount of preferential information, which reduces the user experience and leads to a low usage rate of coupons.
In response to this user pain point, it is necessary to implement an intelligent solution to recommend the [best coupon combination] to users through technical means: consumer email list automatically obtain the selected products in the user's shopping cart and match the coupons received, and quickly show the user to the user. The best combination of coupons, and users can intuitively see the total paid amount after the discount, and even see the discount of a single product, which greatly improves the user's "cool feeling".
Let’s take a look at the example below: Taobao and JD.com both adopt intelligent solutions to recommend the best coupon combination to users. Although the operation and display methods are different (you can experience it by yourself), the purpose is the same, which is convenient for users to change Good use of coupons, enhance shopping experience, help users save money! save money!
(A treasure's recommended best coupon combination)
(Dong's recommended best coupon combination)
How to recommend the best coupon combination scheme to users during settlement?
Check the available coupons that have been claimed;
Calculate the best coupon combination according to the rules;
When operating product data, automatically calculate the best coupon combination;
Display the discount amount of the product through the coupon allocation rules.
1. Check the available coupons that have been received
On the shopping cart page, according to the product selected by the user, query the available coupons for the corresponding product. Here [available] is the key point to be circled, and the following conditions must be met:
The coupon must be already claimed by the user;
The total amount of the product or the total quantity of the product meets the coupon usage rules.
Take a simple example: the price of product A is 700 yuan, and you can use store coupons of 300 minus 10, 1300 minus 50, and 2500 minus 80. When placing an order for two items of product A, the user can use the coupon of 300 minus 10 or 1300 minus 50. Only coupons that meet the coupon usage rules are "available coupons".
2. Calculate the best coupon combination according to the rules
First, according to the dimension of the creator of the coupon (store or platform), then according to the type of coupons available, the rules of use, and then combined with the product information in the car, calculate the combination of coupons. The combination with the largest discount amount is the best combination.
The method of calculating the combination can also be in the order of the single product-level discount, then the store-level discount, and finally the cross-store-level discount. For details, see Example 3 below. One thing to pay attention to when calculating the combination method: the available coupons must be used, and it is best if there is no non-use situation. As for the reason, let’s look at the example first.
1. Example 1: Follow the example of "order two pieces of product A"
If the available coupons are not used, then there are 3 combinations for product A; if there is no non-use, there are 2 combinations, and the best way for both types is to use the full 1300 minus 50 coupons.