Xiaomi Youpin
Whale helps Xiaomi Youpin obtain more effective and accurate data by capturing and analyzing the data on in-store consumer behavior and purchase tendency of in-store user groups and others, finally realizing the sales conversion.
  • Background
    Xiaomi Youpin, with the brand concept of "Quality Life, Better Choice", is committed to providing cost-effective, hi-tech and high-quality consumer products. It is a high-quality shopping platform of Xiaomi. It is also a part of Xiaomi's new retail strategy.
  • Needs

    How to maximize the field efficiency in the limited space of Xiaomi Youpin's physical stores with numerous SKUs

    Product selection strategy is a critical part of Xiaomi Youpin, so how to make the right selection strategy through data analysis

Solutions & Value

Offline customer behavior data recorded through touchpoints can be used to quickly verify and provide feedback on whether products attract users, support the product selection, display and personalized marketing events in stores

"More and more middle-class consumers are paying more attention on the high-quality and cost-effective consumption of goods, and we hope to use MarTech to continuously optimize the [Three Driving Forces] of Xiaomi's retail system."

 

- Whale

Continuously Optimize the "Three Driving Forces" of Xiaomi's Retail System

With the emerging of consumption upgrade and new retail, Xiaomi IoT's shopping platform Xiaomi Youpin, a rising star in the quality e-commerce industry, has grown well and is popular with customers in recent years.

 

In 2018, Xiaomi Youpin opened physical stores, officially starting offline physical retail and becoming one of the new retail platforms that bridge the gap between online retail and offline retail. As an open shopping platform, Xiaomi Youpin has established a "platform + ecological chain" model and has been expanding its product categories to provide customers with the experience of buying quality goods at any time.

 

The customers of quality e-commerce are mainly members of the middle class who pursue living quality. How to capture the hearts and minds of the middle class who pursue high quality and high cost performance? How to provide satisfactory product recommendations for gradually rational and uncomplicated core audience? This is a challenge for Xiaomi Youpin. It tests the company's market insight and precise analysis, and the designer's control of buying preferences and consumer psychology.

 

In this market context, Whale helps Xiaomi Youpin obtain more effective and accurate data by capturing and analyzing the data on in-store consumer behavior and purchase tendency of in-store user groups and others, finally realizing the sales conversion.

For Xiaomi Youpin, how can offline stores obtain the behavioral data of consumers in stores? And maximize the field efficiency in a limited space? It is an important part of the brand to improve marketing efficiency.

 

Whale uses Phygital digital display screens and sensors as touchpoints to record offline customers' behavioral data, in particular the pick-up and duration of the product modules, to obtain the in-store preferences of customers (different user attributes) and to analyze and visualize the output. After getting all these data, the brand can, combined with AIivia CMS and Data, quickly verify and give feedback on whether the products are attracting users, to support the product selection strategy, goods display and personalized marketing activities of stores, effectively grasp the best marketing timing and improve the sales conversion rate.

 

In this cooperation, customers' in-store interaction time has increased by 400%, which is the highlight of this digital upgrade of Xiaomi Youpin offline retail stores. Whale increased the sales conversion by 150% and the engagement by 55.1% with Phygital digital display devices, resulting in significant operational cost savings and efficiency improvement for brands.

 

By digitally upgrading offline retail stores and mining and analyzing in-store user data, Xiaomi Youpin has driven brands to develop more rapidly and sustainably in new retail.

 


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