Choose Segmentation Criteria
Posted: Mon May 19, 2025 8:43 am
Segmentation criteria depend on your business goals, industry, and customer behavior. Here are common approaches:
1. Demographic Segmentation
Divide your audience based on basic attributes such as age, gender, income, or location. For example, a fashion brand may target women aged 18-35 in urban areas with trendy collections, while promoting different styles to other demographics.
2. Behavioral Segmentation
Segment based on how users interact with your brand, including:
Website visits and pages viewed
Email opens and clicks
Past purchases and order frequency
Engagement on social netherlands whatsapp number data media platforms
Behavioral segments enable timely, relevant campaigns such as abandoned cart emails or product recommendations.
3. Psychographic Segmentation
Group users by interests, values, and lifestyles. This deeper understanding helps craft messages that emotionally connect with your audience.
4. RFM Segmentation (Recency, Frequency, Monetary)
RFM analysis scores customers based on how recently they purchased, how often, and how much they spend. High-scoring customers can be targeted with loyalty programs, while low-scoring groups may need re-engagement campaigns.
5. Technographic Segmentation
Segment by technology preferences such as device type (mobile vs desktop), browser, or preferred apps. This is useful for optimizing content and ads.
1. Demographic Segmentation
Divide your audience based on basic attributes such as age, gender, income, or location. For example, a fashion brand may target women aged 18-35 in urban areas with trendy collections, while promoting different styles to other demographics.
2. Behavioral Segmentation
Segment based on how users interact with your brand, including:
Website visits and pages viewed
Email opens and clicks
Past purchases and order frequency
Engagement on social netherlands whatsapp number data media platforms
Behavioral segments enable timely, relevant campaigns such as abandoned cart emails or product recommendations.
3. Psychographic Segmentation
Group users by interests, values, and lifestyles. This deeper understanding helps craft messages that emotionally connect with your audience.
4. RFM Segmentation (Recency, Frequency, Monetary)
RFM analysis scores customers based on how recently they purchased, how often, and how much they spend. High-scoring customers can be targeted with loyalty programs, while low-scoring groups may need re-engagement campaigns.
5. Technographic Segmentation
Segment by technology preferences such as device type (mobile vs desktop), browser, or preferred apps. This is useful for optimizing content and ads.