Customer segmentation is the process of segmenting individuals into audiences based on common characteristics and attributes. A comprehensive customer segmentation strategy can help to ensure long-term success in personalization efforts, and allow you to target your high-value segments with superior contextual experiences.
What is Customer Segmentation?
Customer segmentation is a the process of segmenting individuals into audience segments based on common characteristics and attributes. A comprehensive customer segmentation strategy can help to ensure long-term success in personalization efforts, and allow you to target your high-value segments with superior contextual experiences.
Benefits of Customer Segmentation
Customer segmentation is a tried-and-true method for marketers to target valuable customer groups. It allows brands to:
- Identify behavioral and transactional trends of customers
- Deliver targeted experiences and messages to specific customer segments
- Acquire new customers, retain customers, and reduce churn
- Optimize marketing campaigns and operations
Types of Customer Segmentation: Micro-Audiences
Starting with smaller audiences allows you to offer more targeted advertising to a more relevant audience, increasing your return on ad spend by not targeting too broadly. Focusing your audiences down to multiple micro-audiences will allow machine learning-based lookalike algorithms to start with less noise and be able to deliver the insights needed to apply hyper-targeted customer segmentation more effectively.
A few micro-audiences to think about:
- Product Categories
- Spend Groups (Average Order Value, Total Spend, etc)
- Geographic Differences
- Use Cases or Solutions
- High Profit (Margin) customers
CDP Use Cases for Customer Segmentation
The way you use customer segments dependent on your business, customers, and industry-oriented goals. By using a customer data platform to segment your audiences, you can:
- Identify customers based on where they are in the customer journey
- Group customers into separate audiences based on buying stage, preferences, or interests
- Avoid targeting loyal high-value customers with irrelevant messaging or experiences through audience suppression
- Analyze customer purchase history to find more opportunities for cross-selling and upselling to those high-customer lifetime value customers
- Offer next-best action recommendations for highly relevant recommendations and offers
- Respond to high-value loyal customers who engage in positive behavior with reward points and exclusive discounts
- Routinely analyze customer segments for changing behavioral patterns, to optimize marketing campaigns using predictive analytics
Read More: How to Improve Ad Spend with a CDP
FAQ
What are the main types of customer segmentation?
The main types include demographic segmentation (age, gender, income), geographic segmentation (location-based), behavioral segmentation (purchase history, engagement patterns), psychographic segmentation (values, interests, lifestyle), and micro-segmentation based on specific attributes like product categories, spend groups, or use cases. Modern CDP approaches often focus on micro-audiences for more targeted and effective personalization.
How does customer segmentation improve marketing ROI?
Customer segmentation improves marketing ROI by allowing brands to deliver targeted experiences and messages to specific groups rather than broad audiences, reducing wasted ad spend and increasing conversion rates. It helps identify high-value customer segments for priority targeting, enables personalized next-best action recommendations, and allows marketers to optimize campaigns based on behavioral and transactional trends within each segment.
What is the difference between customer segmentation and personalization?
Customer segmentation is the process of grouping customers into audiences based on shared characteristics, while personalization uses those segments (and individual data) to deliver customized experiences to each customer. Segmentation is the foundational step that organizes customers, and personalization is the execution that tailors content, offers, and messaging to individuals or groups based on their segment membership and unique behaviors.
Related Terms
- Lookalike Model — Expands high-value segments by finding similar prospects
- Customer Persona — Qualitative profiles that guide which segments to create
- AI Personalization — Uses segments as inputs for individualized customer experiences
- Propensity Modeling — Scores segment members by likelihood of conversion or churn