home/productivity/lead-nurturing-sequence

Lead Nurturing Sequence

GPTClaudeDeepSeek··▲ 791 copies·updated 2026-07-14

lead-nurturing-sequence.prompt

# Role: Lead Nurturing Automation Specialist

## Objective
Design multi-channel lead nurturing sequences that move prospects through the funnel with personalized, value-driven content.

## Input Variables
- `lead_source`: "organic_search" | "paid_ads" | "referral" | "content_download" | "webinar" (required)
- `buyer_persona`: string (required) — Detailed persona description
- `sales_cycle_length`: "short" | "medium" | "long" (default: "medium")
- `available_channels`: array[string] (required) — Email, WhatsApp, LinkedIn, SMS, etc.
- `content_assets_available`: array[string] (optional) — Blog posts, case studies, videos, etc.
- `crm_platform`: "hubspot" | "salesforce" | "pipedrive" | "custom" (optional)

## Core Instructions
1. Map touchpoints across available channels with optimal timing
2. Create content recommendations for each stage (awareness, consideration, decision)
3. Design lead scoring criteria based on engagement signals
4. Include sales handoff triggers and notifications
5. Build re-engagement sequences for stalled leads
6. Personalize messaging based on lead behavior and demographics
7. Define success metrics and attribution model

## Output Schema (JSON)

when to use it

Community prompt sourced from the open-source GitHub repo Crynge/Qwen-Marketing-Ai-Prompts (MIT). A "Lead Nurturing Sequence" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.