Make.com Sales Automation: Close More Deals with Less Manual Work
Sales automation with Make.com eliminates the repetitive parts of selling — research, data entry, follow-ups, proposal drafting — so sales reps can focus on what only humans can do: build relationships and close deals. This guide covers every stage of the sales process that Make.com can automate.
The Sales Automation Stack
Effective sales automation in Make.com covers five stages:
- Lead capture — New leads enter your CRM automatically
- Enrichment — Company and contact data added without manual research
- Prioritisation — AI scoring to identify the best leads to focus on
- Outreach — Personalised messages generated and scheduled
- Follow-up — Automated sequences that don't require manual tracking
Lead Capture Automation
From website forms: Your contact form → Make.com webhook → HubSpot contact + deal created in seconds.
From chat (Intercom/Drift): Qualifying conversation ended → Make.com → create CRM deal with chat transcript + lead classification.
From inbound email: Gmail trigger → Claude (qualify: is this a genuine sales inquiry?) → If yes: HubSpot contact + deal + Slack notification.
From referrals: Airtable form submitted by existing customer → CRM contact + deal with referral attribution + thank-you email to referrer.
Research Automation
Sales reps spend hours researching prospects. Automate it:
Pre-call research (trigger: HubSpot deal moves to "Call Scheduled"):
- Fetch contact and company data from HubSpot
- HTTP (web search or Clearbit): get recent company news
- HTTP (BuiltWith): identify technology stack
- HTTP (LinkedIn API or Apollo): get contact's recent posts/activity
- Claude: "Generate a 1-page call brief with: company overview, likely pain points, relevant talking points, suggested questions."
- HubSpot: attach brief as internal note
- Email: send brief to rep
The rep walks into every call prepared — without spending 30 minutes on research.
Proposal Automation
Trigger: HubSpot deal moves to "Proposal Stage"
- Fetch: deal notes, discovery call transcript, contact details
- Claude: "Based on these discovery notes, generate a customised proposal outline with: their specific problem statement, our recommended solution, relevant case study, proposed investment, timeline."
- Google Docs: use template → replace placeholders with Claude's content
- Google Drive: save proposal with naming convention (Company_Proposal_Date)
- HubSpot: add proposal link to deal
- Slack: notify rep "Proposal draft ready for review"
The rep reviews a mostly-complete proposal instead of starting from scratch.
Personalised Email Sequences
Cold outreach with AI personalisation:
- New lead in Apollo → webhook to Make.com
- Clearbit: enrich with company data
- Claude: generate personalised cold email
- Gmail: create draft (human reviews before sending) OR send automatically for pre-qualified leads
- Data Store: record that email 1 was sent + timestamp
Automated follow-up logic:
- Schedule: daily check — which leads got email 1 but no reply after 3 days?
- Claude: generate follow-up email (different angle from email 1)
- Gmail: send follow-up
- Data Store: update to email 2 status
Reply detection: When a prospect replies, make.com webhook (via Zapier email webhook or Gmail API) → update Data Store → remove from sequence → notify rep.
Deal Velocity Monitoring
Deals that stall need attention. Automate the detection:
- Schedule: Daily
- HubSpot: Get all open deals with last_activity_date more than N days ago
- Iterator: For each stale deal
- Claude: "This deal has been idle for X days at stage Y. What's the most likely reason for the stall, and what specific action would most likely move it forward?"
- HubSpot: Create activity with AI recommendation
- Slack: Alert deal owner with context
Sales Performance Reporting
Weekly sales report (automated):
- Schedule: Monday 7am
- HubSpot: pull all deals closed/updated last week
- HubSpot: pull pipeline metrics
- Claude: write executive summary narrative: "Last week's highlights, key risks in the pipeline, forecast confidence."
- Email: send formatted report to sales leadership
Win/loss analysis:
- HubSpot trigger: deal closed
- HubSpot: get full deal history (notes, emails, activities)
- Claude: "What were the key factors in this outcome? What could have been done differently?"
- Airtable: log analysis
- Monthly: Claude aggregates patterns → email strategic insights to sales director
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