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