AI Chatbot & Automation

Make (Integromat)

A no-code platform that automates repetitive tasks by visually connecting apps and services without requiring programming knowledge.

Make Integromat no-code automation workflow automation visual builder API integration data transformation business process automation scenario
Created: December 18, 2025

What is Make (Integromat)?

Make, formerly Integromat, is a no-code automation platform enabling users from small businesses to large enterprises to design, build, and automate workflows between apps, APIs, and data sources without traditional programming. The platform provides a powerful visual scenario builder, real-time automation, sophisticated data transformation capabilities, and advanced error handling, making it one of the most flexible and deeply customizable automation tools available.

Make connects over 2,500 apps including productivity tools (Google Workspace, Slack, Notion), e-commerce platforms (Shopify, WooCommerce), marketing automation (Mailchimp, HubSpot), databases (Airtable, MySQL), and virtually any REST API through HTTP modules. Its drag-and-drop interface supports designing linear or highly branched workflows with data mapping, transformation, scheduling, and advanced conditional logic enabling complex business process automation.

The platform is suited for anyone seeking to eliminate repetitive manual work, orchestrate complex business processes, integrate disparate systems, or build sophisticated automation workflows—all through visual configuration rather than code.

How Make Works

Make operates through “scenarios”—visual representations of workflows constructed from interconnected modules. Each scenario combines triggers, actions, and control flow tools into comprehensive automation logic.

Scenario Architecture

Triggers: Events in connected apps initiate scenario execution—new email arrival, form submission, database record creation, webhook call, or scheduled time.

Modules: Perform specific actions (send email, update spreadsheet, create task, call API) or transform data (parse JSON, filter records, aggregate results).

Logic and Control Flow: Employ conditional logic (If/Else, Switch), routers (branching), filters (gatekeeping), iterators (process arrays), and aggregators (combine data) directing execution flow.

Error Handling: Define fallback actions through in-module or global error handlers specifying retries, skips, alternative paths, or notifications.

Scheduling: Execute scenarios on schedules (every X minutes/hours/days), via real-time webhooks, or manual initiation.

Visual Scenario Builder

The drag-and-drop builder enables users to visually map workflows, inspect data as it flows through modules, and debug with detailed step-level execution logs. Real-time data preview shows actual values passing between modules during test runs.

Advanced Capabilities

Custom Functions: Build reusable logic blocks for data transformations, calculations, or complex operations across scenarios.

HTTP Modules: Execute advanced API calls with custom authentication, pagination, header management, and response handling.

Data Stores: Persist data across scenario runs enabling stateful automations, multi-step processes, and complex workflows requiring memory.

Webhooks: Create custom endpoints receiving data from external systems triggering scenario execution in real-time.

Key Features

Visual Workflow Builder: Drag-and-drop interface supporting both simple linear flows and complex branched logic with nested conditions.

2,500+ Integrations: Native modules for major platforms plus HTTP module for any REST API with custom authentication methods.

Advanced Logic: Filters gatekeep data flow, routers branch based on conditions, iterators process arrays/lists, aggregators combine multiple data bundles.

Real-Time and Scheduled Automation: Instant execution via webhooks or scheduled runs with minute-level granularity.

Data Mapping and Transformation: Visual data mapping between modules, built-in functions for text manipulation, date handling, mathematical operations, JSON/XML parsing.

Error Handling and Logging: Module-level and global error handlers with retry logic, detailed execution logs for debugging, rollback capabilities.

Data Stores and Variables: Persistent storage across runs, variable management for complex stateful workflows.

Templates and Academy: Hundreds of pre-built scenario templates, structured learning paths from beginner to advanced certification.

Security and Team Management: Granular user permissions, secure webhook endpoints with authentication, audit logs, SSO for enterprise deployments.

Make AI: Recently introduced AI-powered features for intelligent data extraction, smart routing decisions, and automated optimization.

Common Use Cases

E-Commerce Automation

Order Processing: New Shopify order triggers → Add to Google Sheets → Send confirmation email → Notify Slack channel → Update inventory

International Orders: Filter orders by country → Route to appropriate fulfillment center → Apply localized shipping rules → Generate customs documentation

Inventory Management: Monitor stock levels → Automatic reorder when below threshold → Supplier notification → Purchasing approval workflow

Marketing Automation

Lead Management: Facebook Lead Ads submission → Add to CRM (HubSpot, Salesforce) → Enroll in email sequence (Mailchimp) → Assign sales rep → Schedule follow-up

Campaign Tracking: Aggregate metrics from multiple ad platforms → Consolidate in reporting dashboard → Calculate ROI → Generate weekly summary → Distribute to stakeholders

Webinar Automation: Registration → Add to Google Sheets → Send confirmation → Reminder series → Post-webinar survey → Follow-up nurture sequence

Customer Service

Ticket Routing: Website chat or email → Parse content → Classify by keywords/urgency → Route to appropriate team → Create ticket in Zendesk → Notify assigned agent

Satisfaction Surveys: Case closure trigger → Wait 24 hours → Send satisfaction survey → Aggregate responses → Flag negative feedback → Escalate issues

Knowledge Base Sync: Update in knowledge system → Identify affected customers → Send notification → Update chatbot training data → Log changes

Financial Operations

Transaction Processing: Stripe/PayPal transaction → Categorize by type → Add to accounting spreadsheet → Flag large amounts → Generate invoice → Archive in cloud storage

Expense Management: Receipt upload → OCR extraction → Validate against policy → Route for approval → Record in accounting system → Reimburse employee

Reporting: Aggregate data from multiple sources → Calculate metrics → Generate formatted reports → Distribute via email/Slack → Archive historical data

HR and Recruiting

Applicant Tracking: Job board application → Add to Airtable → Parse resume → Screen qualifications → Schedule interview → Send candidate communications → Update status

Onboarding: New hire trigger → Create accounts (email, Slack, project management) → Assign equipment → Enroll in training → Schedule meetings → Send welcome materials

Time Tracking: Timesheet submission → Validate hours → Route for approval → Sync to payroll → Calculate overtime → Generate reports

Implementation Guide

Getting Started

Create Account: Sign up at Make.com with free tier supporting 1,000 operations monthly.

Choose Starting Point: Browse template library or create new scenario from scratch based on requirements.

Configure Trigger: Select trigger app and event (e.g., “Watch for new Google Form responses”), authenticate connection, specify trigger parameters.

Add Actions: Drag modules for each step—send email, update database, call API—configuring parameters and authentication for each.

Map Data: Connect outputs from previous modules to inputs of subsequent modules using visual data mapper showing available fields.

Add Logic: Insert filters preventing unwanted data flow, routers branching based on conditions, iterators processing arrays element-by-element.

Configure Error Handling: Set up module-level error handlers for retries or alternative actions, global handlers for scenario-wide failures.

Test Thoroughly: Execute “Run once” using sample data, review detailed logs identifying errors, verify data transformations produce expected results.

Schedule and Activate: Configure scheduling interval or webhook triggers, enable scenario for production use.

Monitor and Optimize: Review execution logs regularly, refine data mappings, optimize for performance and reliability.

Make vs. Alternatives

FeatureMakeZapierPower Automaten8n
ComplexityAdvanced logicSimpleModerateAdvanced
Integrations2,500+8,000+600+400+
Pricing$10.59/mo+$29.99/mo+$15/user/moOpen-source
Learning CurveModerate-steepLowModerateSteep
Best ForComplex workflowsQuick automationMicrosoft ecosystemTechnical users
Visual BuilderExcellentGoodGoodExcellent
Error HandlingAdvancedBasicModerateAdvanced

Make Strengths: Sophisticated branching and looping, visual data transformation, granular error handling, flexible scheduling.

Trade-offs: Steeper learning curve than Zapier, fewer integrations than Zapier, operation-based pricing can escalate with heavy usage.

Best Practices

Start Simple: Build and test small automations before scaling to complex workflows avoiding overwhelming complexity.

Use Templates: Leverage pre-built templates as starting points adapting to specific needs reducing development time.

Name Descriptively: Label modules, variables, routers clearly enabling collaboration and maintenance by team members.

Leverage Filters Early: Prevent unwanted data from propagating through scenarios reducing unnecessary operations and costs.

Monitor Execution Logs: Review logs regularly identifying failures, bottlenecks, optimization opportunities.

Document Complex Logic: Add notes explaining business rules, decision points, data transformations for future reference.

Secure Webhooks: Use authentication tokens, IP whitelisting, HTTPS connections protecting sensitive data and preventing unauthorized access.

Test with Real Data: Use actual accounts and representative datasets ensuring automation handles edge cases and production conditions.

Handle Errors Proactively: Configure error handlers for predictable failures, set up notifications for critical errors requiring attention.

Optimize Performance: Break large workflows into sub-scenarios, use data stores for persistent state, batch operations where appropriate.

Pricing

Free Tier: 1,000 operations monthly with access to all core features and 2,500+ apps.

Core Plan: Starting at $10.59/month with increased operation limits and advanced features.

Pro Plan: Higher volumes, priority support, advanced team collaboration.

Enterprise: Custom limits, dedicated support, SSO, audit logs, SLA guarantees.

Operation Counting: Each module execution counts as one operation—complex scenarios with many modules consume operations quickly.

Frequently Asked Questions

Is Make the same as Integromat? Yes, Make is the rebranded name for Integromat. All features and workflows remain fully compatible.

Do I need coding skills? No. Most scenarios require no coding. Advanced users can leverage custom functions, HTTP modules, and regex expressions.

How does pricing work? Based on operations (each module execution). Free tier provides 1,000 monthly operations, paid plans scale upward.

What are main limitations? Learning curve for complex features, operation-based pricing can escalate, support response times vary by plan.

Which industries use Make? E-commerce, marketing agencies, SaaS companies, finance, HR, customer support, IT operations, education.

Can Make handle large data volumes? Yes, with proper scenario design. Use batch processing, data stores, and optimization techniques for high-volume workflows.

How secure is Make? Provides webhook authentication, encrypted connections, granular permissions, audit logs, SOC 2 compliance for enterprise plans.

References

Related Terms

Aggregator

A node that collects outputs from multiple execution paths or loops and combines them into a single ...

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