New Subscribers (Not yet customers):

A rich source of U.S. data covering demographics, economy, geography, and more.
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hasinam2206
Posts: 202
Joined: Sun Dec 22, 2024 6:08 am

New Subscribers (Not yet customers):

Post by hasinam2206 »

Highly Engaged (High Open/Click Rates): Send them exclusive content, early access, or surveys to gather more insights.
Low Engagement (Low Open/Click Rates): Send re-engagement campaigns, win-back offers, or try different content types.
Unengaged (Zero Opens/Clicks over time): Try a last-ditch effort, then consider segmenting them out to protect sender reputation.
Clickers of Specific Links: If they clicked a link related to "sale items," segment them for future sale announcements.
Collection: Email marketing platform (ESP) analytics.
Device Usage:

Ideas:
Mobile vs. Desktop Users: Optimize email design and landing pages for the device they primarily use.
App Users: Promote app-exclusive deals or features.
Collection: ESP data, website analytics.
V. Lifecycle Stage Segmentation for E-commerce
This type of segmentation defines where a customer brazil email list is in their relationship with your brand, from prospect to loyal advocate.


Ideas:
Welcome Series: Introduce your brand, values, best-sellers, and offer a first-purchase discount.
Educational Content: Share guides or tips related to your products or industry to build trust.
Social Proof: Showcase customer testimonials or reviews.
Collection: Primary email opt-in forms.
First-Time Customers:

Ideas:
Post-Purchase Welcome: Thank them, provide order details, set expectations.
Onboarding/Usage Tips: Help them get the most out of their new product.
Request for Review: Prompt them to leave a review after they've received and used the product.
Cross-Sell/Complementary Products: Recommend items that naturally go with their first purchase.
Collection: Triggered by first purchase.
Repeat Customers:

Ideas:
Loyalty Programs: Invite them to join, highlight rewards earned.
Exclusive Offers: Give them early access to sales or special discounts as a thank you.
New Product Announcements: They are likely to be early adopters.
Personalized Recommendations: Based on their full purchase history.
Collection: Triggered by multiple purchases.
Churned / At-Risk Customers.
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