Find decision makers at a HubSpot company using Apollo and Make

high complexityCost: $10-29/mo

Prerequisites

Prerequisites
  • Make account (Core plan or higher recommended for volume)
  • HubSpot connection configured in Make via OAuth
  • Apollo API key with People Search and Enrichment credits

Step 1: Add a trigger for target companies

Create a new scenario. Choose your trigger:

Option A — Watch Companies module: Add a HubSpot CRM → Watch Companies module set to watch updated companies. Use a router + filter after it to only process companies where abm_tier equals Tier 1.

Option B — Webhook trigger: Add a Webhooks → Custom Webhook module. Call this webhook from HubSpot workflows whenever a company is tagged as a target account. The payload should include the company ID and domain.

Step 2: Fetch company details

If using the Watch Companies trigger, add an HTTP module to fetch the company domain:

  • URL: https://api.hubapi.com/crm/v3/objects/companies/{{1.id}}
  • Method: GET
  • Headers: Use HubSpot connection for auth
  • Query String: properties=domain,name,industry

Step 3: Search Apollo for decision makers

Add an HTTP module for Apollo's People Search:

  • URL: https://api.apollo.io/api/v1/mixed_people/search
  • Method: POST
  • Headers: Content-Type: application/json, X-Api-Key: {{your_apollo_key}}
  • Body:
{
  "q_organization_domains_list": ["{{2.properties.domain}}"],
  "person_titles": ["VP Sales", "CRO", "VP Marketing", "CMO", "VP RevOps", "Head of Sales"],
  "person_seniorities": ["vp", "c_suite", "director"],
  "page": 1,
  "per_page": 25
}
Store titles in a scenario variable

Instead of hardcoding titles in the HTTP body, create a Make variable or data store for your ICP titles. This makes it easier to adjust the search criteria without editing the HTTP module.

Step 4: Iterate through results

Add an Iterator module and set the array to {{3.people}} (the people array from Apollo's response).

Step 5: Enrich each person

Inside the iterator, add an HTTP module to call Apollo's People Match endpoint:

  • URL: https://api.apollo.io/api/v1/people/match
  • Method: POST
  • Headers: Content-Type: application/json, X-Api-Key: {{your_apollo_key}}
  • Body:
{
  "first_name": "{{4.first_name}}",
  "last_name": "{{4.last_name}}",
  "organization_name": "{{4.organization.name}}",
  "reveal_personal_emails": false
}

Step 6: Check for existing contacts

Add an HTTP module to search HubSpot for existing contacts by email:

  • URL: https://api.hubapi.com/crm/v3/objects/contacts/search
  • Method: POST
  • Body:
{
  "filterGroups": [{
    "filters": [{
      "propertyName": "email",
      "operator": "EQ",
      "value": "{{5.email}}"
    }]
  }]
}

Add a Filter between this module and the next: continue only if total equals 0.

Step 7: Create contacts in HubSpot

Add a HubSpot CRM → Create a Contact module (or HTTP module):

  • Email: {{5.email}}
  • First Name: {{5.first_name}}
  • Last Name: {{5.last_name}}
  • Job Title: {{5.title}}
  • Company Name: {{5.organization.name}}

Step 8: Associate contacts with the company

Add an HTTP module to associate each new contact with the original company:

  • URL: https://api.hubapi.com/crm/v3/objects/contacts/{{7.id}}/associations/companies/{{1.id}}/contact_to_company
  • Method: PUT
  • Headers: Use HubSpot connection for auth
Make operations add up quickly

Each person in the loop uses ~4-5 operations (iterate + enrich + search existing + create + associate). Processing a company with 10 decision makers = ~50 operations per company. On the Free plan (1,000 ops/month), that's only 20 companies.

Step 9: Activate

  1. Run the scenario once manually with a test company
  2. Verify contacts appear in HubSpot with correct associations
  3. Set the scenario schedule and toggle to Active

Cost

  • Free plan: 1,000 ops/month. ~50 ops per company = ~20 companies/month.
  • Core plan: $10.59/mo for 10,000 ops. ~200 companies/month.
  • Apollo credits: 1 credit per search result + 1 per enrichment. Budget ~2 credits per person found.

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