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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.

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MJK Supplies · Jun 2, 2026 · 11 min read
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Make.com Sales Automation: Close More Deals with Less Manual Work

The Sales Automation Stack

Effective sales automation in Make.com covers five stages:

  1. Lead capture — New leads enter your CRM automatically
  2. Enrichment — Company and contact data added without manual research
  3. Prioritisation — AI scoring to identify the best leads to focus on
  4. Outreach — Personalised messages generated and scheduled
  5. 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"):

  1. Fetch contact and company data from HubSpot
  2. HTTP (web search or Clearbit): get recent company news
  3. HTTP (BuiltWith): identify technology stack
  4. HTTP (LinkedIn API or Apollo): get contact's recent posts/activity
  5. Claude: "Generate a 1-page call brief with: company overview, likely pain points, relevant talking points, suggested questions."
  6. HubSpot: attach brief as internal note
  7. 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"

  1. Fetch: deal notes, discovery call transcript, contact details
  2. 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."
  3. Google Docs: use template → replace placeholders with Claude's content
  4. Google Drive: save proposal with naming convention (Company_Proposal_Date)
  5. HubSpot: add proposal link to deal
  6. 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:

  1. New lead in Apollo → webhook to Make.com
  2. Clearbit: enrich with company data
  3. Claude: generate personalised cold email
  4. Gmail: create draft (human reviews before sending) OR send automatically for pre-qualified leads
  5. Data Store: record that email 1 was sent + timestamp

Automated follow-up logic:

  1. Schedule: daily check — which leads got email 1 but no reply after 3 days?
  2. Claude: generate follow-up email (different angle from email 1)
  3. Gmail: send follow-up
  4. 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:

  1. Schedule: Daily
  2. HubSpot: Get all open deals with last_activity_date more than N days ago
  3. Iterator: For each stale deal
  4. 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?"
  5. HubSpot: Create activity with AI recommendation
  6. Slack: Alert deal owner with context

Sales Performance Reporting

Weekly sales report (automated):

  1. Schedule: Monday 7am
  2. HubSpot: pull all deals closed/updated last week
  3. HubSpot: pull pipeline metrics
  4. Claude: write executive summary narrative: "Last week's highlights, key risks in the pipeline, forecast confidence."
  5. Email: send formatted report to sales leadership

Win/loss analysis:

  1. HubSpot trigger: deal closed
  2. HubSpot: get full deal history (notes, emails, activities)
  3. Claude: "What were the key factors in this outcome? What could have been done differently?"
  4. Airtable: log analysis
  5. Monthly: Claude aggregates patterns → email strategic insights to sales director

Recommended Tools

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