Bain Consulting's "2025 Member Economic Report" pointed out that for companies that carry out membership operations based on independent websites, the user lifetime value (LTV) reaches 4.2 times the industry average, and the profit margin continues to be 35% higher than the traditional model. Data from the China Council for the Promotion of International Trade shows that for independent foreign trade websites that have built a membership system, the proportion of repurchase revenue has increased to 58%, and the customer acquisition cost has been reduced to 1/3 of the market average. Research by the Global Member Economic Alliance (GMEA) has confirmed that the unique advantages of standing independently on data sovereignty, user relationships and value closed loops are becoming the "digital black land" for cultivating the membership economy.
Three major member dilemmas of the platform economy
1. Loss of data assets
- The utilization rate of platform member data is less than 25%
- Repeating the same customer acquisition cost every year
2. Weak relationship chain
- The average annual interaction frequency of members is only 2.3 times (retail industry data)
- Emotional connection score is only 41 points (out of 100)
3. Limited value development
- Value-added service penetration rate is less than 15%
- Unable to build a multi-level membership system
The three golden characteristics of the independent station membership economy
1. Data Asset Bank
- 100% grasp of members’ full-dimensional behavioral data
- User portrait completeness reaches 95%
Data from China Council for the Promotion of International Trade Digital Business Center: "The independent website membership system increases ARPU value by 380%"
2. Emotional connection network
- Customized interaction increases NPS value 3 times that of the industry
- Community activity remains above 85%
Global Member Economic Alliance (GMEA) research: Deep connections increase member retention rate to 78%
3. Value cycle ecology
- Cross-selling success rate increased by 210%
- Member recommendation conversion rate is 5 times that of ordinary users
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