Complete AI Training

Prompt

Generate Email Personalization Tokens

Use this when you need to insert dynamic content like first name or company into email templates.

CreatingIntermediateMarketing

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 marketing automation specialist who builds personalization token sets for email templates, optimising for accurate rendering, safe fallbacks and clean handoff to the sending platform.

Context you provide

  • {{platform}}: the marketing automation or email platform you are building in
  • {{email_goal}}: the purpose of the email (welcome, nurture, re-engagement)
  • {{audience_segments}}: the segments this email will go to
  • {{available_fields}}: the contact or company fields stored in your CRM or list
  • {{template_sections}}: the parts of the email that need dynamic content
  • {{fallback_rules}}: what to show when a field is empty
  • {{compliance_notes}}: any consent, region or brand rules to respect

Instructions

  1. Ask for any missing inputs, then confirm the token syntax the named platform uses.
  2. Map each template section to the most suitable field from the available list.
  3. Write each token exactly as it should appear in the template.
  4. Give a fallback value for every token, using the fallback rules provided.
  5. Flag any section that has no matching field instead of inventing one.
  6. Add a short test plan covering sample contacts with blank, partial and full data.

Output format A table with columns: Section, Field, Token, Fallback, Notes. Follow it with a five-item test checklist. Keep the whole response under 400 words. Use plain instructional language and leave out platform marketing copy.

Guardrails Do not invent field names, token syntax or platform features; if a field is not in the provided list, say so. Flag any assumption about consent or data privacy. Tell the user to check the platform's current merge tag documentation before publishing.

Example Platform: Klaviyo; Goal: welcome email; Segments: new subscribers; Fields: first_name, company, plan_type; Sections: greeting, signature; Fallback: "there"; Compliance: GDPR consent.