Wish platform sales and operation data analysis: core competitiveness and practical skills

The Wish platform stands out in the e-commerce industry with its mobile shopping app features. Unlike other platforms, Wish emphasizes the accurate push of information to improve user experience. The products users see on the platform vary based on factors such as personal interests, social attributes, and natural attributes. This personalized push model provides buyers with a more pleasant shopping experience.

1. Accurate matching of products and users

Wish uses advanced matching algorithms to accurately connect users with products. Each user will be labeled with different user tags, which are classified based on their interest characteristics (such as personal hobbies and psychological characteristics), social attributes (such as education level and professional status), and physical attributes (such as gender and age). This method ensures that the products pushed can meet user needs. In order to optimize product push, sellers must ensure that product labels match user needs. When users log in through social media accounts (such as Facebook, Google), the platform will record their usage habits to further refine product push.

2. View and optimize product sales data

It is important for sellers to understand product sales data on the Wish platform. Sellers can query sales quantity, sales volume, return rate and other data through Wish’s unique seller backend. At the same time, they can select different time periods and products for analysis to facilitate grasping sales trends. In addition, Wish also provides a series of data analysis tools that can help sellers gain in-depth understanding of the geographical distribution of sales, buyer characteristics and hot-selling product rankings, so as to develop more effective marketing strategies.

Combined with external data analysis tools, sellers can also further understand the performance of competitors through market research reports and user feedback, thereby optimizing their own strategies.

3. Core operational data analysis

For Wish merchants with more than 1,000 daily orders, core data management has become an important factor in operational success. These core data include sales data, profit data, RMA (Return Management Authorization) data, inventory data and cost expenditure data.

3.1 Sales data

Sales data statistics are used to evaluate the team’s performance, and comparison with historical data can help merchants understand business growth trends. For example, perform a month-on-month and year-on-year analysis with the sales of the previous month or the same month last year. Usually during the peak sales season, merchants should set corresponding growth goals and gradually achieve them.

3.2 Profit data

The calculation of profit data needs to consider factors such as platform rates, refund rates, collection fees, and procurement and logistics costs. Through systematic analysis of gross profit, merchants can discover items with larger losses and adjust procurement or logistics strategies.

3.3 RMA data

The analysis of RMA data is particularly important. Merchants need to classify and review returned products in order to formulate optimization strategies. Keeping inventory and cost data clear and transparent is also critical to maintaining supply chain efficiency.

4. Continuous optimization of shopping and sales strategies

On the Wish platform, an excellent shopping experience not only depends on effective product matching and data analysis, but also requires sellers to establish a complete procurement and logistics team. Successful merchants often invest a lot of energy in these two aspects to improve the overall operational efficiency of the store. By monitoring core data in real time and conducting in-depth analysis, sellers can not only optimize product promotion and marketing strategies, but also effectively respond to market competition, thereby achieving Steady business growth.

We hope that the sales and operational data analysis methods of the Wish platform provided in this article will support sellers in achieving business success in the ever-changing e-commerce environment.