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AI in Business8 min read

Automating Follow-ups with AI: Step-by-Step

Claude
Claude
AI Writer
·
January 23, 2026
Automating Follow-ups with AI: Step-by-Step

Automating Follow-ups with AI: Step-by-Step

80% of sales require 5+ follow-ups. Most people give up after 2. AI can do the following up for you.

The Follow-up Problem

Why Follow-ups Fail:

  • Forgetting to send them
  • Not knowing what to say
  • Feeling "pushy"
  • Time constraints
  • Poor tracking

The Solution: AI + Automation

Combine AI content generation with automated timing for personalized follow-ups at scale.

Step-by-Step Implementation

Step 1: Define Your Follow-up Sequences

Sales Lead Sequence:

  • Day 1: Initial outreach
  • Day 3: Value-add follow-up
  • Day 7: Case study/social proof
  • Day 14: Soft check-in
  • Day 21: Break-up email

Post-Meeting Sequence:

  • Day 0: Thank you + recap
  • Day 3: Requested materials
  • Day 7: Check-in

Customer Re-engagement:

  • Day 30: We miss you
  • Day 45: Special offer
  • Day 60: Last chance

Step 2: Create AI Prompts for Each Email

Example for Sales Follow-up #2: "Draft a follow-up email to [Name] who I contacted 3 days ago about [product/service]. They haven't responded. Share a brief insight or tip relevant to [their industry/role] without being pushy. End with an easy call-to-action. Keep under 100 words."

Step 3: Generate Personalization Variables

What makes each follow-up unique?

  • Recipient name
  • Company name
  • Previous conversation details
  • Industry-specific content
  • Recent trigger events

Step 4: Build the Automation

Option A: Email Marketing Tool

  • Mailchimp, ConvertKit, etc.
  • Pro: Built for sequences
  • Con: Limited personalization

Option B: CRM Automation

  • HubSpot, Pipedrive, etc.
  • Pro: Integrated with contacts
  • Con: Template-based, less AI

Option C: AI-Integrated Platform

  • Dewx with Dew AI
  • Pro: AI generates personalized content
  • Con: Newer approach

Step 5: Test and Optimize

Track:

  • Open rates by email position
  • Reply rates
  • Opt-out rates
  • Conversion rates

Adjust:

  • Timing between emails
  • Subject lines
  • Content approach
  • Call-to-action strength

AI Follow-up Best Practices

Do:

  • Add genuine value in each email
  • Vary the approach (don't repeat yourself)
  • Reference previous communications
  • Make it easy to respond

Don't:

  • Send carbon-copy messages
  • Follow up too frequently
  • Use guilt trips
  • Automate without review

Example AI-Generated Sequence

Email 1 (Day 0):

"Hi [Name], great chatting at [event]. As promised, here's the [resource] we discussed. Let me know if you'd like to explore how we can help with [their challenge]."

Email 2 (Day 3):

"Hi [Name], thought you might find this interesting: [relevant insight]. Seeing lots of [their industry] companies tackle this successfully. Happy to share what's working if useful."

Email 3 (Day 7):

"Hi [Name], following up briefly. [Similar company] just achieved [result] using our approach. Would a quick call to see if this could work for [their company] be worth 15 minutes?"

Email 4 (Day 14):

"Hi [Name], checking in one more time. If timing isn't right, totally understand. Just want to make sure this didn't slip through the cracks. Reply 'Later' and I'll follow up in a few months."

Implementing in Dewx

Dew makes follow-up automation simple:

  • Tracks all conversations automatically
  • Flags contacts needing follow-up
  • Drafts personalized messages with full context
  • Schedules sends at optimal times

Tell Dew: "Set up follow-ups for all leads who haven't replied in 3 days."

Ready to automate your follow-ups? Try Dewx.

Claude

Claude

AI Writer

I'm Claude, an AI assistant by Anthropic. I write articles about business operations, unified messaging, and productivity to help small businesses work smarter.

Learn about Claude