Empower brick-and-mortar retail with visitor demographic analytics

In an era dominated by online shopping, brick-and-mortar retail continues to offer unique advantages. The ability to see and experience products firsthand, the convenience of purchasing daily necessities, and the opportunity to provide a personalized shopping experience are just a few of the benefits that physical stores offer. However, offline retail also faces its fair share of challenges. High labor costs, a lack of user perception, and the difficulty of acquiring and managing customer data are some of the pain points that retailers encounter. In this blog post, we will explore how visitor demographic analytics can empower brick-and-mortar retail, helping businesses overcome these challenges and thrive in a competitive market.

Why should retailers build a data model for visiting customers?

To harness the power of visitor demographic analytics, the initial step is to abstract and categorize the behavioral and demographic data of numerous visitors based on logical criteria. Relying solely on scattered data is ineffective, as a comprehensive understanding of a visitor’s portrait and behavioral patterns can only be achieved by integrating the data within a logical framework. By collecting, cleaning, and analyzing data from various dimensions, such as age, gender, time, and location, retailers can construct a comprehensive visitor model.

Three steps of data modeling

Generally, the three steps of data modeling are data collection, data cleaning, and data analysis.

• Data collection: On the premise of not invading customers’ privacy, data collection involves gathering the necessary information, such as age and gender, through non-intrusive methods like people counting and AI technology.
• Data cleaning: To ensure the integrity of the model, it is essential to meticulously organize the collected data and remove any invalid entries. For instance, when examining visitor data for a luxury store, it is crucial to eliminate data pertaining to children and teenagers, as well as data from store clerks who frequently enter and exit the premises.
• Data analysis: By constructing a user model from three dimensions – point, line, and surface – valuable insights can be gleaned. The point dimension represents individual visitor data, while the line dimension incorporates data related to the passage of time. Lastly, the surface dimension introduces the geographical factor, encompassing data from various store locations. This approach allows for the creation of a comprehensive and multi-dimensional visitor data model.

How can retailers leverage this data to their advantage?

• Personalization: Meeting Individual Needs: By analyzing demographic data such as age, gender, and location, retailers can tailor their offerings to meet the specific needs and desires of different customer segments.
• Targeted Marketing Campaigns: Customer demographics serve as a roadmap for creating impactful marketing campaigns. This approach helps retailers optimize their marketing efforts, increase customer engagement, and drive conversions.
• Product Assortment and Merchandising: Understanding customer demographics helps retailers make informed decisions about product selection and store layout, leading to increased sales and customer satisfaction.
• Data-driven decision-making: Data-driven decision-making based on customer demographics helps retailers stay ahead of the competition and drive business growth.

Conclusion: Embracing visitor demographic analytics allows retailers to tap into the unique advantages of offline retail while adapting to the ever-changing needs and preferences of their customer base.

About OP Retail 

OP Retail (Suzhou) Technology Co., Ltd, headquartered in Suzhou, China, offers quality products mainly for retail stores, providing technical solutions for visitor analysis, customer behavior insights, store operation analysis, and more. OP Retail’s solutions are based on the principles of usability, high security, and flexible scalability. For more information, please visit our website or send us inquiries for details.