Make Review 2026: Features, Pricing, and Top Alternatives

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Make is an automation platform that connects your apps through visual workflows. It replaces repetitive tasks with multi-step “scenarios” that move data between tools like CRMs, email platforms, and databases. It offers advanced options such as branching, scheduling, and error handling, making it suitable for complex business workflows.

What is Make?

Make (formerly Integromat) is a low-code/no-code automation platform that lets users automate workflows by connecting their apps through a visual builder. Each scenario starts with a trigger—like a new row in a spreadsheet—and processes data through linked actions.

Key Make features

  • Visual scenario builder: Drag-and-drop modules to link apps into workflows.
  • Advanced logic tools: Routers, filters, iterators, aggregators, and error handlers.
  • Flexible scheduling: Run scenarios on intervals or instantly via webhooks.
  • Execution logs: Detailed logs for tracking and troubleshooting.
  • Data stores: Built-in storage for reusable information.
  • Wide integrations: Thousands of apps across CRMs, marketing, and databases.
  • Enterprise security: GDPR and SOC 2 compliance, single sign-on support.

How does Make work?

Make runs workflows called scenarios. A scenario connects apps through modules that pass data from one step to the next. Each run begins with a trigger and executes connected actions in order.

Setup steps:

  1. Choose a trigger: Start with an event like a form submission or a new email.
  2. Add actions: Link apps to send emails, update records, or create tasks.
  3. Apply conditions: Use filters or routers to split data into paths.
  4. Handle errors: Define what happens when steps fail.
  5. Test and schedule: Run with sample data, then set frequency or use webhooks.
  6. Monitor runs: Check logs for each bundle of data.

Make vs Zapier vs Lindy: What’s the difference?

All three offer workflow automation but differ in approach:

Feature Make Zapier Lindy
Ease of use Visual builder; steeper learning curve Simple setup and templates No-code AI agent builder with templates
Pricing Free; paid from $10.59/month (credit-based) Free; paid from $29.99/month Free plan with 400 credits; paid from $49.99/month
Advanced logic Strong branching and error handling Limited branching (Paths) Conditional workflows plus AI-driven tasks
Integrations 2,500+ apps 8,000+ apps 4,000+ integrations
Best for Complex workflows and data handling Simple automations AI-driven communication and follow-ups

Pros and cons of Make

What works really well

  • Complex branching: Routers, filters, iterators.
  • Detailed logs: Step-level run information.
  • Cost efficiency at scale: Credit-based model can be cheaper.
  • Wide integrations: Rarely hits dead ends.

Where it falls short

  • Learning curve: Time needed to master field mapping and branching.
  • Support experience: Mixed reviews on error clarity and response times.
  • Pricing confusion: Credits vs operations makes cost estimation harder.

Should you use Make? My take

Choose Make if you need detailed, multi-step automations and don’t mind a learning curve. It’s ideal for operations, technical marketers, IT, and data-heavy projects. Skip Make if you only need simple two-step workflows or AI-driven communication tasks, or if you prefer predictable, task-based pricing.

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