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Make.com Email Automation

Email is still the highest-ROI communication channel in business — and Make.com can automate virtually everything email-related. From intelligent inbox triage to personalised outreach sequences to automated reports delivered on schedule, Make.com's Gmail, Outlook, and email modules cover every email automation use case. This guide covers practical Make.com email automation patterns.

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MJK Supplies · Mar 4, 2026 · 4 min read
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Make.com Email Automation

Email Automation Capabilities in Make.com

Make.com handles email in two directions:

Inbound email processing:

  • Trigger scenarios when new emails arrive (Gmail Watch, Outlook Watch)
  • Parse email content and route based on sender, subject, or body
  • Extract attachments and process them downstream
  • Classify and triage inbox

Outbound email sending:

  • Send personalised emails via Gmail or Outlook modules
  • Trigger email sequences via marketing platforms (Klaviyo, Mailchimp, HubSpot)
  • Generate AI-written emails and send them
  • Send reports, notifications, and alerts

Intelligent Inbox Triage

Scenario: AI-powered email classification

  1. Gmail trigger: Watch emails in support inbox
  2. HTTP Request to Claude: "Classify this email: sender=[sender], subject=[subject], body=[body]. Categories: billing, technical-support, sales-inquiry, press, partnership, spam. Also estimate sentiment (positive/neutral/negative) and urgency (high/normal/low). Return JSON: {'category': '...', 'sentiment': '...', 'urgency': '...'}"
  3. Router: Branch by category

- Billing → Create ticket in billing system - Technical → Create Zendesk ticket (high priority if urgency=high) - Sales inquiry → Create HubSpot contact + deal - Press → Forward to PR team email - Partnership → Create HubSpot deal in "Inbound Partnerships" stage - Spam → Archive and mark read

  1. Gmail Archive + appropriate label applied

No email requires manual sorting — the right team sees it within seconds of arrival.

Automated Follow-Up Sequences

Scenario: Multi-step follow-up after initial contact

  1. HubSpot trigger: Contact stage moved to "Contacted - Awaiting Response"
  2. Wait 3 days (via scenario scheduling or Make.com's built-in delay)
  3. HubSpot Get Contact: Check if response recorded
  4. Filter: No response recorded in last 3 days → continue
  5. Claude HTTP: Generate personalised follow-up email based on contact data and initial outreach context
  6. Gmail Send: Send the follow-up from the rep's Gmail account
  7. HubSpot Create Note: Log follow-up sent
  8. Wait 5 more days → repeat with final follow-up

This provides consistent follow-up without relying on reps remembering.

Personalised Outreach at Scale

Scenario: Daily batch of personalised cold emails

  1. Airtable trigger (or Schedule): 9 AM daily — fetch 20 contacts from "To Contact" table
  2. Iterator: Process each contact
  3. HTTP Request to Apollo.io: Get company data for personalisation (news, growth signals, tech stack)
  4. Claude HTTP: "Write a 80-word personalised cold email from [sender name] to [contact name] at [company]. Reference: [specific company detail from Apollo]. Offer to discuss [your value proposition]. End with a yes/no question."
  5. Filter: Review queue — write draft to HubSpot (not send directly)
  6. Or for confidence: Gmail Create Draft — create draft in Gmail for manual review before sending

Personalised outreach at the volume of bulk email.

Automated Reporting

Scenario: Weekly KPI report emailed to stakeholders

  1. Schedule trigger: Every Monday 7 AM
  2. Multiple data fetch modules:

- HubSpot: new leads this week, deals closed, pipeline value - Airtable: operational metrics - Google Sheets: financial data

  1. Claude HTTP: "Given these metrics vs. last week's metrics, write a 3-paragraph executive summary. Highlight what improved, what declined, and one recommended action."
  2. Gmail Send: Send formatted HTML email to stakeholder distribution list

Stakeholders get their Monday briefing automatically. No one spends Sunday night making slides.

Email Attachment Processing

Scenario: Extract data from email attachments

  1. Gmail trigger: New email with attachment (filter by sender domain or keyword in subject)
  2. Gmail Download Attachment: Download the file (PDF, Excel, CSV)
  3. For PDFs: OpenAI Vision or Claude HTTP with base64-encoded file: "Extract the following fields from this invoice: vendor, invoice number, date, amount, line items. Return JSON."
  4. For CSV/Excel: Parse with text modules → extract rows
  5. Downstream modules: Write extracted data to Airtable, trigger follow-up actions

Invoice processing, contract analysis, expense extraction — all automated from email.

Email Analytics and Monitoring

Scenario: Track email opens and trigger follow-ups

Most email sending services (SendGrid, Mailchimp, HubSpot) support event webhooks for opens and clicks:

  1. Webhook trigger: Email opened event from your sending service
  2. Filter: Opened in first 2 hours (recent open = high intent)
  3. HubSpot Update Contact: Mark as "High intent — email opened immediately"
  4. Create HubSpot Task: "Contact ASAP — just opened proposal email"
  5. Slack alert to sales rep: "[Contact name] just opened your email about [subject]"

Recommended Tools

  • Make.com — Email automation scenario platform
  • Gmail — Trigger and send via Make.com Gmail module
  • Claude API — Email generation and classification
  • HubSpot — CRM integration for outreach sequences
  • Apollo.io — Contact enrichment for personalisation
  • Instantly.ai — High-volume cold email sending
“Automated email that reads natural and responds to real context converts. The combination of Make.com's orchestration with Claude's writing is the foundation of that.”
#make#email#automation

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