Integrations & Advanced min read Advanced

Make.com (Integromat) Advanced Workflows

Create sophisticated automation scenarios with Make.com. Visual workflow builder for complex business logic.

By george.olah@code24.ro Sep 29, 2025 5 views

Make.com (Integromat) Advanced Workflows

Make.com (formerly Integromat) is Zapier's more powerful cousin. While Zapier is great for simple automations, Make.com excels at complex, multi-branch workflows with advanced logic. Let's unlock its full potential.

Why Make.com Over Zapier?

Make.com Advantages:

  • Visual workflow builder
  • Complex branching logic
  • Data transformation tools
  • Error handling
  • Cheaper for high volume
  • Real-time execution
  • Advanced scheduling

Best For:

  • Multi-step workflows
  • Data processing
  • Conditional logic
  • Bulk operations
  • API integrations

Setting Up Make.com with Selgora

Step 1: Create Selgora Connection

  1. In Make.com, go to Connections
  2. Add new connection → HTTP
  3. Configure:

Step 2: Create Your First Scenario

  1. Click 'Create a new scenario'
  2. Add trigger module: Webhooks → Custom webhook
  3. Copy webhook URL
  4. Add to Selgora webhook settings
  5. Add action modules as needed

Advanced Scenario Examples

The Student Success System

Webhook Trigger: New enrollment
↓
Router (3 branches)
├── Branch 1: Premium course (>$500)
│   ├── Add to VIP email segment
│   ├── Create Notion project
│   ├── Schedule 1-on-1 call
│   └── Send premium welcome kit
├── Branch 2: Standard course
│   ├── Add to general list
│   ├── Send standard welcome
│   └── Add to community
└── Branch 3: Free course
    ├── Add to nurture sequence
    └── Send upsell series

The Content Distribution Machine

Trigger: New lesson published
↓
HTTP Module: Get lesson content
↓
Tools: Parse content
↓
Router (5 branches)
├── LinkedIn: Create article
├── Twitter: Create thread
├── YouTube: Generate script
├── Email: Create broadcast
└── Blog: Publish post
↓
Aggregator: Collect URLs
↓
Slack: Send summary

The Refund Prevention Workflow

Trigger: Low engagement detected
↓
Filter: Last login > 7 days
↓
Data Store: Check previous outreach
↓
Router: Based on engagement level
├── Level 1: Send re-engagement email
├── Level 2: Offer 1-on-1 help
└── Level 3: Provide special bonus
↓
Iterator: Wait 3 days
↓
Check: Did they engage?
├── Yes: Mark as saved
└── No: Escalate to next level

Make.com Modules Mastery

Data Transformation

Text Parser → Extract patterns
JSON → Parse API responses
CSV → Process bulk data
Aggregator → Combine results
Iterator → Process lists

Flow Control

Router → Split flow
Filter → Conditional execution
Error Handler → Manage failures
Sleep → Add delays
Resume → Continue after error

Data Operations

Get Variable → Store values
Set Variable → Update values
Increment → Count operations
Tools → Various utilities

Complex Logic Patterns

Pattern 1: Retry with Exponential Backoff

HTTP Request
↓
Error Handler
├── Success: Continue
└── Error: Sleep (1 min)
    └── Retry (max 3)
        └── Sleep doubles each time

Pattern 2: Batch Processing

Get Records (max 100)
↓
Iterator
├── Process each record
├── Update status
└── Log results
↓
Aggregator
└── Send summary report

Pattern 3: Conditional Chains

Check Condition A
├── True: Check Condition B
│   ├── True: Action 1
│   └── False: Action 2
└── False: Check Condition C
    ├── True: Action 3
    └── False: Default action

API Operations

GET Student Data

HTTP Module:
Method: GET
URL: /students/{id}
Headers: Authorization: Bearer {key}

POST New Enrollment

HTTP Module:
Method: POST
URL: /enrollments
Body: {
  "student_id": "{{student.id}}",
  "course_id": "{{course.id}}",
  "payment_status": "completed"
}

UPDATE Progress

HTTP Module:
Method: PATCH
URL: /progress/{id}
Body: {
  "completed_lessons": "{{array}}",
  "percentage": "{{calculation}}"
}

Data Store Patterns

Student Activity Tracking

Structure:
- student_id (key)
- last_login
- total_logins
- courses_completed
- total_spent

Usage:
- Update on each login
- Check for milestones
- Trigger rewards

Campaign Performance

Structure:
- campaign_id (key)
- sends
- opens
- clicks
- conversions
- revenue

Usage:
- Real-time tracking
- A/B test results
- ROI calculation

Error Handling Strategies

Strategy 1: Graceful Degradation

Try: Primary service
Catch: Use backup service
Finally: Log attempt

Strategy 2: Queue and Retry

Try: Process immediately
Catch: Add to queue
Schedule: Retry every hour

Strategy 3: Notification Chain

Error Level 1: Log to file
Error Level 2: Email admin
Error Level 3: SMS alert
Error Level 4: Phone call

Performance Optimization

Tip 1: Minimize API Calls

  • Cache frequently used data
  • Batch operations when possible
  • Use webhooks instead of polling

Tip 2: Parallel Processing

  • Use multiple routers
  • Process independent tasks simultaneously
  • Aggregate results at the end

Tip 3: Smart Scheduling

  • Run heavy tasks at night
  • Stagger webhook processing
  • Use queues for non-urgent tasks

Monitoring & Debugging

Execution History

  • Review last 30 days
  • Filter by status
  • Check error details
  • Download logs

Testing Mode

  • Use test webhooks
  • Process sample data
  • Verify each step
  • Check output formatting

Performance Metrics

  • Execution time
  • Data processed
  • Error rate
  • Operations used

Cost Management

Operations Pricing

  • 1 operation = 1 module execution
  • Routers don't count
  • Filters don't count
  • Tools count as 0.5

Optimization Tips

  • Combine operations
  • Use filters early
  • Avoid unnecessary iterations
  • Archive unused scenarios

Advanced Integration Patterns

Pattern: Event Sourcing

All events → Data store
↓
Process events chronologically
↓
Build current state
↓
Trigger actions based on state

Pattern: Saga

Start transaction
↓
Step 1: Create order
↓
Step 2: Process payment
↓
Step 3: Grant access
↓
Error: Rollback all

Pattern: Circuit Breaker

Check service health
├── Healthy: Process normally
└── Unhealthy: Use fallback
    └── After X time: Retry

Real-World Scenarios

Scenario: Course Launch

Day -7: Create anticipation content
Day -3: Open early bird list
Day 0: Launch → Process orders → Grant access
Day 1-7: Monitor engagement → Send targeted emails
Day 30: Request testimonials → Offer upsell

Scenario: Community Management

New post → Moderate content
├── Approved: Notify subscribers
├── Flagged: Review manually
└── Spam: Delete and ban

Remember This

Make.com is incredibly powerful, but with great power comes great complexity. Start simple, test thoroughly, and gradually add sophistication.

The goal isn't to automate everything - it's to automate the right things so you can focus on what only you can do: create and connect.

Your perfect workflow is out there. Build it one module at a time!

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