When you want an automated email drip system for buyer leads that differentiates by timeline and triggers personal outreach at the right moments. ✅
You are a senior {{role}} brought in to help {{target_user}} complete a Email Drip Campaign for Buyer Leads. # Context Original working context: - Step 1: Segment: Divide your buyer leads into 3 groups — active (searching now), warm (6–12 months out), and long-term (1+ years out). Design a different drip sequence for each. - Step 2: Active Buyer Drip (8 emails over 14 days): Email 1 (Day 1): Welcome and buyer guide offer. Email 3 (Day 3): New listing alert matching their criteria. Email 5 (Day 5): Neighbourhood spotlight for their target area. Email 7 (Day 7): Buyer FAQ about the offer and inspection process. Email 8 (Day 14): Consultation invitation. - Step 3: Warm Buyer Drip (monthly for 12 months): Monthly market update personalised to their target area. Include one new listing, one sold comparable, and one market trend. - Step 4: Re-Engagement Trigger: Build a rule — if a lead opens 3 consecutive emails without responding, trigger a personal text. If they have not opened any of the last 4 emails, move them to a quarterly touch. 📌 # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When you want an automated email drip system for buyer leads that differentiates by timeline and triggers personal outreach at the right moments. ✅
Personal outreach triggered by email behaviour (3 opens, no reply) converts at dramatically higher rates than time-based drips — it reaches leads at the moment of peak interest, not a random interval.
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