What Is Make (formerly Integromat)? A Complete Guide for 2026
Discover Make (formerly Integromat), the visual automation platform. Learn features, pricing, use cases, and how it compares to other tools.
What Is Make (Formerly Integromat)?
Make (formerly Integromat) is a visual automation platform that connects apps and services without coding. You build workflows using a drag-and-drop interface where each app appears as a module on a canvas. When something happens in one app (like a new lead in your CRM), Make automatically triggers actions in other apps (like creating a WhatsApp message or updating a spreadsheet). The platform handles complex multi-step workflows, conditional logic, and data transformations through its visual scenario builder.
How Make Works: The Visual Approach
Make’s core strength is its visual workflow builder. Instead of writing code or filling out forms, you drag app modules onto a canvas and connect them with arrows.
The Building Blocks
Triggers: Start your workflow when something happens (new email, form submission, scheduled time)
Actions: What Make does in response (create a record, send a message, update data)
Routers: Split your workflow into multiple paths based on conditions
Filters: Stop a workflow branch if certain criteria aren’t met
Functions: Transform data, format text, perform calculations
A Real Example
You get a new lead from Facebook Ads. Make creates a CRM contact, then checks if the lead is from Mumbai. If yes, it assigns to Team A and sends a WhatsApp welcome message. If no, it assigns to Team B and sends an email instead.
This entire workflow appears as connected boxes on your canvas. You see exactly what happens and when.
Key Features That Set Make Apart
Advanced Data Manipulation
Make excels at handling complex data transformations. You can parse JSON, extract specific fields, format dates, combine text strings, and perform calculations without writing code.
The platform includes built-in functions for:
- Text manipulation (split, replace, capitalize)
- Date/time operations (add days, format timestamps)
- Mathematical calculations
- Array operations (sort, filter, combine)
Error Handling and Routing
When a workflow step fails, Make doesn’t just stop. You can define error routes: if the CRM API is down, send the data to a backup spreadsheet instead. This makes workflows more reliable in production.
Scenario Templates
Make provides pre-built templates for common use cases:
- Shopify order processing
- Google Sheets to CRM sync
- Social media content distribution
- Email marketing automation
These templates give you a starting point instead of building from scratch.
Make vs Other Automation Platforms
| Feature | Make | Zapier | n8n | Microsoft Power Automate |
|---|---|---|---|---|
| Visual Builder | Advanced canvas | Linear steps | Node-based | Flow charts |
| Data Transformation | Excellent | Basic | Advanced | Good |
| Error Handling | Built-in routing | Basic retry | Custom logic | Try-catch blocks |
| Pricing Model | Operations-based | Tasks-based | Self-hosted/cloud | Per-user licensing |
| App Integrations | 1,500+ | 5,000+ | 400+ | 600+ |
| Learning Curve | Moderate | Easy | Technical | Easy |
When to Choose Make
Choose Make if you need:
- Complex data transformations
- Visual workflow debugging
- Advanced conditional logic
- European data hosting (GDPR compliance)
Choose something else if you need:
- Simple, linear automations (Zapier)
- Full control over hosting (n8n)
- Deep Microsoft ecosystem integration (Power Automate)
Pricing Structure (2026)
Make uses an operations-based pricing model. Every time a module executes, it consumes one operation.
Current Pricing Tiers
Free Plan: 1,000 operations/month, basic features Core Plan: $9/month for 10,000 operations Pro Plan: $16/month for 10,000 operations + advanced features Teams Plan: $29/month for 10,000 operations + team collaboration Enterprise: Custom pricing for high-volume usage
Understanding Operations
One scenario run can consume multiple operations. If your workflow has 5 modules (trigger + 4 actions), that’s 5 operations per execution. A scenario that runs 100 times per month uses 500 operations total.
This makes Make more expensive than Zapier for simple workflows but more cost-effective for complex scenarios with many steps.
Common Use Cases
E-commerce Automation
Order Processing: Shopify order creates customer in CRM, sends WhatsApp confirmation, updates inventory spreadsheet, and notifies fulfillment team in Slack.
Abandoned Cart Recovery: Detects cart abandonment, waits 30 minutes, checks if order completed, sends recovery email. If no purchase after 24 hours, sends discount offer.
Lead Management
Multi-Channel Lead Processing: New lead from any source (Facebook, Google, website) gets enriched with company data from Apollo, creates CRM record, assigns to appropriate salesperson based on territory, and sends personalized welcome sequence.
Content Distribution
Social Media Publishing: New blog post in WordPress extracts featured image and summary, creates LinkedIn post, schedules Instagram story, and updates content calendar in Airtable.
Financial Operations
Invoice Management: New invoice in accounting system sends WhatsApp notification to customer, creates payment reminder sequence, updates cash flow forecast, and notifies finance team of overdue payments.
Limitations to Consider
Learning Curve
Make’s visual builder is powerful but complex. New users often struggle with understanding data flow, variable mapping, and error handling. Plan for a learning period before your team becomes productive.
Debugging Challenges
When workflows fail, finding the root cause can be difficult. Make provides execution logs, but complex scenarios with multiple branches require careful analysis to troubleshoot.
Performance Considerations
Complex scenarios with many modules can be slow. Each module adds processing time. For high-frequency workflows, this might create delays.
Pricing Surprises
Operations can add up quickly if you’re not careful. Scenarios that poll APIs frequently or process large datasets can consume your monthly allocation faster than expected.
Getting Started with Make
Step 1: Start Simple
Don’t build complex workflows immediately. Start with a basic two-step automation: trigger + action. Master the interface before adding complexity.
Step 2: Map Your Data Flow
Before building, sketch out what data moves where. Understanding your data structure makes building scenarios much easier.
Step 3: Use Templates
Start with Make’s templates for your use case. Modify the template instead of building from scratch. This saves time and shows you best practices.
Step 4: Test Thoroughly
Use Make’s testing tools to verify each module works correctly. Test with real data, not just sample data. Edge cases often break workflows.
Step 5: Monitor and Iterate
Once live, monitor your scenarios regularly. Check execution logs, watch for errors, and optimize based on actual usage patterns.
What About Customer Support?
Make offers different support levels based on your plan:
Free Plan: Community forum only Core Plan: Email support Pro Plan: Priority email support Teams Plan: Phone support available Enterprise: Dedicated success manager
Response times typically range from 24-48 hours for email support, with faster responses for higher-tier plans.
How Often Are New Integrations Added?
According to their website, Make adds new app integrations monthly. They prioritize apps based on user requests and market demand. Popular business tools often get integrated within 3-6 months of user requests.
What Happens If Make Goes Down?
Make reports 99.9% uptime as of 2026. When downtime occurs, scenarios pause and resume automatically when service restores. Failed operations during downtime don’t count against your monthly quota.
We build Make automations for businesses that need visual workflow management with complex data transformations. Our team handles the technical setup while you focus on your business goals. Visit our contact page to discuss your automation needs.