Behavioral Segmentation by Email Engagement
Creates dynamic segments based on email interaction behavior (opens, clicks, inactivity).
Implement engagement-level segmentation that adjusts communication frequency, content, and tone for each group, improving deliverability and relevance.
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Prompt objective
Implement engagement-level segmentation that adjusts communication frequency, content, and tone for each group, improving deliverability and relevance.
Real use case
EscolaDigital, an online course platform with 52,000 newsletter subscribers, has seen open rates drop from 25% to 16% over the past 6 months. They need to distinguish engaged from disengaged subscribers to treat each group appropriately.
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Prompt
Create a behavioral segmentation model based on email engagement for [COMPANY NAME], with [NUMBER] subscribers in the database. Context: - Current open rate: [PERCENTAGE]% - Current click rate: [PERCENTAGE]% - Sending frequency: [FREQUENCY] - Platform: [PLATFORM: RD Station/Mailchimp/ActiveCampaign/HubSpot] - Analysis period: last [NUMBER] months **1) Engagement Segment Definitions:** **Super Engaged (Evangelists):** - Criteria: Opened [X]%+ of emails AND clicked [X]%+ in the last 30 days - Estimated % of database: [X]% - Strategy: Exclusive content, early access, ambassador program - Frequency: Can receive up to [X] emails/week **Engaged (Active):** - Criteria: Opened [X]%+ of emails in the last 30 days - Estimated % of database: [X]% - Strategy: Regular newsletter + segmented offers - Frequency: [X] emails/week **Warm (Occasional):** - Criteria: Opened at least 1 email in the last 60 days - Estimated % of database: [X]% - Strategy: High-value content, reduced frequency - Frequency: [X] emails/week **Cold (Disengaged):** - Criteria: No opens in the last 60-120 days - Estimated % of database: [X]% - Strategy: Reactivation campaign, aggressive subject lines - Frequency: [X] email/month **Inactive (Ghosts):** - Criteria: No opens in the last 120+ days - Estimated % of database: [X]% - Strategy: Final attempt + list cleanup - Frequency: 1 sequence of 3 emails, then removal **2) For each segment, create:** - Specific communication framework (email types, frequency, tone) - 3 optimized subject line examples for engagement level - Differentiated CTAs (engaged: direct action | cold: re-capture attention) - Migration criteria between segments (upgrade and downgrade) **3) Deliverability Impact:** - How each segment affects domain reputation - Warmup strategy to reactivate sending to cold segments - Ideal sending volume per segment - Practices to escape Gmail's Promotions tab **4) Step-by-Step Implementation:** - How to set up dynamic segments in [PLATFORM] - Automation for segment migration - Required tags and custom fields - Segment recalculation frequency **5) Monitoring Dashboard:** - Metrics by segment (open, click, conversion, unsubscribe) - Monthly segment distribution evolution - Alerts: when 'cold' exceeds [X]% of database
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