Retailers can leverage a wide array of data points to segment their email lists. The most common and effective types include:
Demographic Segmentation: This involves grouping subscribers based on general attributes such as:
Age and Gender: Tailoring product recommendations
Location: Sending localized offers, in-store event invitations, or weather-appropriate product suggestions.
Income Level: Marketing premium products russia phone number list to high-income segments or value offers to budget-conscious shoppers.
Marital Status/Family Size: Promoting products relevant to families or individuals.
Behavioral Segmentation: This is arguably the most powerful type for retail, as it focuses on how
Customers interact with your brand:
Purchase History: Segmenting by past purchases to recommend complementary products (cross-sell), offer reorder reminders, or introduce new products in categories they prefer.
Browse Behavior: Identifying customers who viewed specific product categories or individual items but didn’t purchase (e.g., sending browse abandonment emails).
Abandoned Carts: Triggering automated emails to remind customers of items left in their cart, often with an incentive to complete the purchase.
Email Engagement: Categorizing subscribers usa b2b list by their interaction with previous emails (opens, clicks). This helps identify highly engaged customers for VIP offers or re-engage inactive users with targeted campaigns.
Website Activity: Tracking time spent on site, pages visited
Search queries to understand interests.Psychographic Segmentation: This delves deeper into customer psychology, including:Interests and Hobbies: Based on stated preferences or inferred interests from Browse/purchase data. For how to check if email is valid with byteplant real-time email verification api example, a sports retailer might segment by specific sports.
Lifestyles and Values: Targeting messages that align with a customer’s broader lifestyle choices (e.g., eco-conscious shoppers).
Customer Lifecycle Segmentation: This categorizes customers based on their journey with your brand.