Marketing automation means different things depending on who you ask. For most agencies, it means setting up an email drip sequence in HubSpot or ActiveCampaign and calling it done. For the clients we work with at Vatech.io, it means building systems where a lead can enter from any channel, get qualified, routed, nurtured, and handed to sales — without a human touching it until the moment it matters.
Make.com is the tool we use most often to build these systems. Not because it's the only option, but because it handles multi-step, multi-app workflows better than most alternatives at a price point that makes sense for mid-market clients.
Here's what we actually build, and how.
The Four Marketing Automation Workflows We Build Most Often
1. Lead Capture and Routing
The most common problem: leads come in from multiple sources (website form, LinkedIn ads, Google Ads, referrals) and end up in different places. Sales doesn't know which leads are hot. Marketing doesn't know which campaigns are converting.
The Make.com solution we build for this:
- A webhook receives form submissions from the website (Typeform, Webflow forms, or native HubSpot forms)
- A separate scenario polls LinkedIn Lead Gen Forms every 15 minutes via the LinkedIn API
- Google Ads conversions are captured via a webhook triggered by Google Tag Manager
- All three sources feed into a single Make.com router that normalizes the data (maps field names, formats phone numbers, strips UTM parameters into separate fields)
- The normalized lead record is created in the CRM (HubSpot or Pipedrive, depending on the client)
- A lead score is calculated based on company size, job title, and source — leads above a threshold are immediately assigned to a sales rep and trigger a Slack notification
The result: every lead lands in the CRM within 2 minutes of submission, correctly attributed, with a score attached. Sales reps stop checking three different inboxes.
2. Email Sequence Automation with Behavioral Triggers
Standard drip sequences send emails based on time elapsed. Behavioral sequences send emails based on what the contact actually does — which performs significantly better for B2B.
A typical sequence we build:
- Day 0: Welcome email sent immediately on lead creation (Make.com triggers on CRM contact creation)
- Day 2: If the contact opened Day 0 email → send case study relevant to their industry. If not opened → send a shorter, different subject line version
- Day 5: If the contact clicked any link in Day 2 email → create a task for a sales rep to call. If no click → send a "quick question" email asking about their primary challenge
- Day 8: If no response to any email → move contact to a low-frequency nurture sequence (monthly touchpoints)
The branching logic runs in Make.com. Email sends go through the client's existing ESP (usually Mailchimp, ActiveCampaign, or HubSpot). Make.com polls the ESP's API every 4 hours to check open/click status and advance contacts through the correct branch.
3. CRM Data Enrichment
Most CRM records are incomplete. A lead comes in with a name, email, and company name — and that's it. Sales reps waste time researching before they can have a meaningful conversation.
We build enrichment scenarios that run automatically when a new contact is created:
- Clearbit or Apollo.io lookup: Pulls company size, industry, revenue range, tech stack, and LinkedIn URL
- LinkedIn profile scrape (where permitted): Adds job title history and current role details
- Website technology detection: Checks what tools the company uses (via BuiltWith API) — useful for identifying prospects already using complementary tools
- All enriched data is written back to custom CRM fields via the HubSpot or Pipedrive API
The enrichment scenario typically runs in under 90 seconds per contact. Sales reps open a CRM record and find it already populated.
4. Campaign Performance Reporting
Marketing teams spend hours every week pulling data from Google Ads, Meta Ads, LinkedIn Ads, and the CRM into a spreadsheet to build a performance report. We automate this entirely.
The Make.com scenario:
- Runs every Monday at 7 AM
- Pulls the previous week's spend, impressions, clicks, and conversions from Google Ads API, Meta Marketing API, and LinkedIn Marketing API
- Pulls CRM data: new leads created, leads by source, deals created, deals closed
- Calculates cost-per-lead and cost-per-acquisition by channel
- Writes all data to a Google Sheet (one tab per channel, one summary tab)
- Sends a formatted Slack message to the marketing channel with the top-line numbers and a link to the full sheet
The report that used to take 3 hours to compile now arrives automatically before the team's Monday standup.
What Makes These Systems Actually Work
The technical build is the easy part. The harder part is data quality and maintenance.
Data quality: Make.com scenarios break when the data they expect doesn't arrive in the expected format. A form field that changes name, an API that returns a null value, a CRM field that gets renamed — any of these can silently break a scenario. We build error handling into every scenario: failed runs trigger a Slack alert with the error details, so issues are caught within minutes rather than discovered days later when someone notices leads aren't coming in.
Scenario organization: Clients who manage their own Make.com accounts often end up with dozens of scenarios that nobody fully understands. We document every scenario we build — what it does, what triggers it, what it connects to, and what to check if it breaks. This documentation lives in Notion alongside the client's other operational docs.
Operations cost management: Make.com charges by operation count. Poorly designed scenarios can consume 10x more operations than necessary. We audit scenario efficiency as part of every build — filtering data early in the scenario, avoiding unnecessary API calls, using Make.com's built-in data store for lookups instead of hitting external APIs repeatedly.
Who This Is For
The clients who get the most value from this type of build are:
- Marketing agencies managing campaigns for multiple clients who need to consolidate reporting and automate lead handoffs
- B2B SaaS companies with a defined sales process and enough lead volume to justify automation (typically 50+ leads per month)
- Professional services firms (consulting, legal, accounting) where lead response time directly affects conversion rates
If you're generating fewer than 20 leads per month, the ROI on a full automation build is harder to justify. The right starting point is usually a single scenario — lead capture and CRM sync — before building out the full stack.
