1. Demographics
Segment based on age, gender, location, or occupation. For example, Norwegian Norway WhatsApp Number Data customers might respond well to localized offers or region-specific updates (like seasonal promotions relevant to the Nordic climate or holiday offers).
2. Purchase History
Use purchase behavior to create targeted groups. For instance, customers who frequently buy specific products can receive updates on similar or complementary items. Those who’ve made high-value purchases might be interested in exclusive, high-end offers or VIP experiences.
3. Engagement Levels
Group contacts by engagement frequency (high, medium, low). High-engagement users can receive regular updates, while less active users might benefit from re-engagement offers like discounts or new product highlights to spark renewed interest.
4. Product- or Interest-Based Segmentation
Organize contacts based on specific interests or product categories. For example, fashion enthusiasts can receive style updates, while eco-conscious customers might be more interested in sustainability initiatives.
5. Customer Lifecycle Stage
Segment contacts by their stage in the customer journey. New customers can get onboarding messages, while loyal customers may receive loyalty rewards. Dormant customers, on the other hand, can get reactivation offers.
6. Behavioral Triggers
Segment by user actions like cart abandonment, app downloads, or browsing history. Sending personalized follow-ups or tailored reminders based on these triggers can significantly improve conversion rates.
7. Preferred Engagement Times
Track when users are most responsive to messages and group contacts by optimal engagement times to improve open and response rates.
These segmentation methods enable businesses to craft highly personalized campaigns, ensuring messages are more relevant and engaging for each group. This approach not only enhances the user experience but also boosts marketing effectiveness.