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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- 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
- If any context is missing, ask for clarification before proceeding.
- Based on the customer stage, design a 3–5 email campaign sequence with subject lines, timing, and content for each email.
- For each email, explain the goal (e.g., educate, incentivize, offer support) and how it moves the customer to the next stage.
- Include key metrics to track for each campaign (e.g., open rate, click rate, conversion rate, churn rate).
- 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?