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Using AI to Personalize Campaign Content

How to use AI in Interceptly campaigns to personalize messages without losing quality or trust

Written by Rhegen

What AI Personalization Means in Interceptly

AI personalization adjusts a strong base message using real context. It does not rewrite the message from scratch.

Interceptly AI can personalize messages using:

  • Location.

  • Job role.

  • Company name.

  • Shared background or interests.

  • Timing and recent activity.

This approach keeps messaging consistent while making it feel one-to-one.


Why Base Content Matters

AI performs best when the original message is clear and well-written. AI cannot fix unclear intent, poor structure, or confusing language.

Strong base content should:

  • Clearly explain why you are reaching out.

  • Sound natural and professional.

  • Focus on one clear goal.

AI should enhance this message, not replace it.


How to Use AI for Campaign Content

Step 1: Write a Strong Base Message

Start with a short, human-written message that works without personalization.

Base message example:

"Hi {first_name}, we connected a little while ago. I often work with clients who need a trusted estate planning attorney, and I wanted to see if you are taking on new matters."

This message works because it is clear, relevant, and goal-focused.

Step 2: Add AI Personalization Fields

Use AI to lightly personalize the base message.

Common personalization fields include:

  • "First name".

  • "City".

  • "Company name".

  • "Shared education or background".

Keep personalization limited to one or two details per message.

Step 3: Review AI-Personalized Messages

Always review AI-generated content before sending.

Check that the message:

  • Still matches your original intent.

  • Sounds natural and respectful.

  • Does not include incorrect assumptions.

Step 4: Send and Monitor Responses

Launch your campaign and monitor replies.

Use replies to:

  • Refine your base message.

  • Adjust personalization depth.

  • Improve follow-up timing.


Examples of AI-Personalized Contents

LinkedIn Message

Below is an example of how AI personalizes a message while keeping the base content intact.

Personalized message:

What AI added:

  • Location reference.

  • Shared education.

  • Natural opening line.

Base message:

LinkedIn Follow-Up Message

AI also helps improve follow-ups without sounding repetitive.

Personalized example:

Base message:

Cold Email Outreach

The same base message can be adapted for email.

AI-personalized email example:

Base message:


Best Practices

  • Always write the base message yourself.

  • Keep base messages short and simple.

  • Limit personalization to relevant details only.

  • Review AI output before sending at scale.

  • Focus on clarity over creativity.


FAQ

Q: Can AI write my entire campaign for me?

A: AI can assist with personalization and refinement, but base content should always be written by a human to ensure clarity and intent.

Q: How much personalization is too much?

A: Using one or two personalized details per message is usually enough. Too much personalization can feel forced or inaccurate.

Q: Should AI personalize every step of a campaign?

A: AI works best for initial messages and light follow-ups. Each step should still be reviewed for tone and relevance.

πŸš€ Success! If you need help reviewing your base content or AI settings, contact the Interceptly support team for guidance.

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