Every retail company wants to know where their customers are and how much they spend. Yet, in a busy city, even with full address data, spotting spending patterns can be difficult. High, medium and low-value customers are often scattered, making it hard to plan effectively. As a result, strategic decisions such as store expansion, marketing targeting, or delivery zone planning often rely more on assumptions than on evidence.
Fortunately, with the right approach, this challenge becomes manageable. By using MAPOG to visualize different customer segment and map them based on their spending behavior, businesses can move from guesswork to data-driven insight—revealing high-spending clusters, emerging markets, and untapped opportunities with clarity.
Key Concept: Why is Visualizing Different Customer Segments Important?
Understanding where your customers live or shop is crucial for business success. In today’s competitive market, location insights and the ability to visualize different customer segments can transform how companies plan and grow. By identifying which areas attract premium buyers versus occasional shoppers, businesses can target their marketing more effectively and choose store locations that promise higher footfall and engagement.
Additionally, businesses that visualize different customer segments can optimize delivery routes, reduce operational costs, and uncover untapped markets and growth opportunities.
Step by Step Guide on how to visualize different customer segments on a map
1. Start with a New Map
Open MAPOG and click on “Create New Map” Select Customer as your story template, give your project a title and brief description, then hit save.
2. Add coordinates using a CSV file
Go to Add Story and then select “Add by uploading CSV/Excel”.
And then upload your desired CSV file.
Go to Select Point Type settings option, add location type such as Customers and then input necessary attributes such as the address, average transaction, purchase frequency, etc.
Then match your excel with attributes, and the field type with latitude and longitude respectively. After that, hit submit.
3. Editing the points.
Go to Edit point details. Next, add a relevant image for your point and complete the necessary attributes, then click Save.
Categorize the point icons by applying a Style Layer. Go to Style layer and select create new style.
You can go to the category section, select the attribute based on which you want to categorize the customers. Here, the selected attribute is Customer Segment, which further categorizes them into Premium, Gold and Standard.
Customise the colours for each attribute. In this case, Red for premium/high value customers, Green for gold/medium value customers and Yellow for standard/low value customers.
4. Share Your Map
Once your map is ready, click “Preview and Share”. You can also set your map to Public for wider visibility or share it using the Share Link option.
Real World Applications
Mapping and categorizing customers by spending value offers multiple benefits for retailers. It helps identify the best locations for new stores by revealing clusters of high-value customers and enables marketing teams to run hyper-local targeted campaigns.
Delivery operations become more efficient, while inventory management is improved by understanding which products perform best in specific areas.
Additionally, tracking changes in customer loyalty over time allows businesses to respond proactively, uncover underserved regions for potential new outlets, and plan pop-up events in high-traffic zones. Retailers can also form partnerships with nearby businesses in valuable markets and monitor emerging trends, turning customer data into clear, actionable, location-based strategies for growth and engagement.
Conclusion
In conclusion, mapping and categorizing customers by spending value transforms raw data into actionable insights, enabling retailers to make informed decisions across marketing, store placement, delivery, and inventory management. By visualizing customer distribution and behavior, businesses can identify growth opportunities, optimize operations, and engage their audience more effectively, ultimately driving smarter growth and long-term success.
Here are some other blogs you might be interested in:
- How to Plot Borewell Data on a Map All at Once Without Manual Entry
- Color-Code Map Points by Category (Online, No-Code)
- Convert Excel/CSV to an Interactive Map (Free, No-Code)
- Change Map Icons & Sizes Based on Your Data Values