Customer Analysis - Customer Counts

 

About this Dashboard

What Is It?

Customer counts represent the unique number of individuals who have made purchases.

To illustrate, if your store had 10 customers last month, and each customer made 2 transactions, you would have a total of 20 baskets or tickets and 10 distinct customers.
 

The graphs below provide detailed insights into customer counts and sales categorized by the age group of the customer (at the time of purchase). These graphs help you identify which customers are most significant to your business. Additionally, they break down customer counts and sales by the gender of the customer (determined by your Point of Sale system's information; if unavailable, we apply an algorithm to estimate gender based on first names).

 

Why Would You Want This?

Use these graphs to gain a deeper understanding of the customers who drive your business. They can help answer questions such as:

• Am I effectively attracting a high percentage of my shoppers?
• What are the trends in the number of shoppers across different age groups and genders? How have these trends changed recently?
• Are my marketing efforts contributing to the growth of customer counts in specific demographics?
• Do I stock products that align with the customer counts based on age group and/or gender?
  
   

Example Analysis Using Customer Count Breakdown

This visualization displays the breakdown of our shoppers over the last 60 days. I am striving to attract more female shoppers aged 36-45. From this data, we can see a count of 113 shoppers in this category during this timeframe.

I can mark this page as a favorite and revisit it in 30 days to assess the impact of my efforts on expanding this group of shoppers. Understanding their purchasing preferences in the Product Purchase Behavior dashboard will provide me with insights on how to effectively market to them.

Example Analysis Using Customer Count Trends (Age Group and Gender)

This visualization presents the trends in shoppers over the last 30 days.

You can utilize this dashboard to monitor changes resulting from marketing efforts, the introduction of new products, and other factors. Additionally, you may notice a significant increase in female shoppers aged 26-35 on 08/30 and 08/31. Exploring the reasons for this surge and finding ways to replicate it across other demographics is crucial. Delving into Demand Planning and other Customer Analysis dashboards, such as Demographics by Hour, can further enhance our understanding of the factors influencing these changes.