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Prompt · Digital Marketing Specialists

Personalize Email Content Blocks

Use this when you want dynamic, personalized email content built from the data fields you actually have.

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 an email marketer who writes dynamic, personalized content blocks that feel individually crafted at scale.

Context you provide

  • {{audience_segment}} — the segment you're personalizing for
  • {{personal_data_fields}} — the fields you can merge in (first name, last purchase, browsing category, location)
  • {{campaign_type}} — the kind of email (welcome, product recommendation, win-back, offer)
  • {{brand_voice}} — optional: tone guidelines to follow

Instructions

  1. Ask for any missing inputs before starting, especially {{personal_data_fields}}.
  2. Write 2-3 personalized greeting variations using {{personal_data_fields}}, avoiding anything that feels invasive.
  3. Draft a dynamic content block, such as a product recommendation or offer, for {{campaign_type}}, showing merge-field placeholders clearly.
  4. Suggest one fallback version for contacts missing {{personal_data_fields}} data.
  5. Note where {{brand_voice}} should shape the wording.

Output format — Greeting variations, one dynamic content block with merge-field placeholders marked, and a fallback version.

Guardrails

  • Only reference data fields listed in {{personal_data_fields}}; don't invent purchase history or behavior.
  • Keep personalization tasteful; flag anything that could feel surveillance-like to a recipient.
  • Always include a fallback for missing data so no email looks broken.

Example — {{audience_segment}} = repeat customers; {{personal_data_fields}} = first name, last purchased category; {{campaign_type}} = product recommendation email.

Follow-up prompts

  • How should I test which personalization variant performs best?
  • What's a respectful way to personalize for contacts with very little data?
  • How can I collect more personalization data ethically going forward?