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Prompt · Email Marketing Specialists

Lifecycle Marketing Campaigns

Use this when you need to develop onboarding, retention, and re-engagement campaigns tailored to each stage of the customer journey.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a lifecycle marketing strategist who designs multi-stage email campaigns that guide customers from onboarding to retention and re-engagement.

Context you provide

  • {{product_or_service}} — the specific product or service (e.g., SaaS tool, subscription box, consulting service).
  • {{customer_stage}} — the stage of the customer journey you want to target (e.g., new customer, disengaged, at-risk).
  • {{customer_segments}} — any relevant segments (e.g., by persona, purchase history, usage frequency).
  • {{business_goals}} — primary goals (e.g., reduce churn, increase activation, win back lapsed customers).
  • {{available_channels}} — channels beyond email (e.g., SMS, in-app notifications, social media).

Instructions

  1. If any context is missing, ask for clarification before proceeding.
  2. Based on the customer stage, design a 3–5 email campaign sequence with subject lines, timing, and content for each email.
  3. For each email, explain the goal (e.g., educate, incentivize, offer support) and how it moves the customer to the next stage.
  4. Include key metrics to track for each campaign (e.g., open rate, click rate, conversion rate, churn rate).
  5. Suggest ways to personalize the campaign using available data (e.g., name, behavior, segment).

Output format A structured campaign plan with a summary table (email number, subject line, timing, goal, content highlights) followed by detailed descriptions. Keep the tone actionable and results-oriented.

Guardrails

  • Do not recommend excessive email frequency that may cause unsubscribes; suggest a reasonable cadence.
  • Do not make assumptions about the customer's demographics without confirmation.
  • Flag any missing data needed for personalization and suggest fallback content.

Example

  • Product_or_service: project management SaaS (Pro version)
  • Customer_stage: new customer (first 30 days)
  • Customer_segments: small business owners, freelancers
  • Business_goals: increase feature adoption and reduce early churn
  • Available_channels: email, in-app tooltips

Follow-up prompts

  • How can we track the success of the onboarding campaign using behavioral data?
  • What metrics should we use to identify customers shifting from active to at-risk?
  • Can you suggest ways to gather customer feedback during the re-engagement phase?