
For most cross-border e-commerce sellers, a practical problem is:
👉Customer acquisition costs are getting higher and higher, but profits are getting thinner and thinner
You may be at:
With every customer acquired, the cost goes up
But the real question is:
👉You have not maximized the value of "existing customers"
In cross-border e-commerce:
👉The first transaction is just the beginning, repeat purchases are the source of profit
But the reality is:
👉 Many sellers hardly make repeat purchases
Common reasons include:
Although there is data in the Shopify backend:
Many people just use:
But ignored:
Customer data may include:
👉 Directly affects marketing effectiveness
Compared to Email:
👉 Great for:
A complete process should be:
1️⃣ Export Shopify customer data
2️⃣ Organize phone numbers
3️⃣ Clean and filter data
4️⃣ Standardized number
5️⃣ Import to WhatsApp
6️⃣ Reach customers in batches
👉 Key steps:
If the data is not processed:
👉 WhatsApp not recognized
👉 User disgust
You can use tools at this time:
support:
👉 Quickly build a customer pool
Autocomplete:
👉 Improve data quality
Automatic supplement:
👉 Can be used directly on WhatsApp
Filter out:
👉 Improve sending success rate
Exported as:
👉 Data that can be used directly for WhatsApp marketing
Let's say you're a Shopify seller:
You have:
process:
1️⃣ Export customer data
2️⃣ Clean the number
3️⃣ Standardized format
4️⃣ Filter valid users
5️⃣ Send promotional information in batches
For example:
👉 Precision marketing
For example:
avoid:
suggestion:
👉Send content based on user behavior
Applies to:
In cross-border e-commerce:
👉The key to making money is not acquiring customers, but repeat purchases
If your client:
The problem is:
👉 Data is not exploited
Through Dingdang Assistant, you can achieve:
✔ User data organization ✔ Improve reachability ✔ Increase repurchase rate ✔ Enhance profitability
Yes, but you need to organize the user's phone number first.
Because it does not continuously reach users.
Required, otherwise the sending success rate will be affected.
Very suitable, especially for sellers with large amounts of customer data.
Dingdang Assistant is an intelligent tool specially built for global number data processing, supporting functions such as number generation, filtering, deduplication, format conversion and collection. It has the efficient performance to process massive files in seconds and can easily handle millions of data tasks. Relying on leading algorithms and international standards, Dingdang Assistant helps enterprises achieve accurate, high-speed, and secure global number management in marketing scenarios.
Dingdang Assistant - the preferred tool for global number processing and large file batch cleaning, making data processing more efficient and smarter.