Visual no-code automation platform that connects 3,000+ apps through drag-and-drop workflows, with credit-based pricing starting free and scaling to enterprise.
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Editor's Verdict
Official ReviewReviewed by Sohail Akhtar
Lead Editor & Founder
Pros
What we like
- The credit-based model charges per module action rather than per task, making multi-step complex scenarios significantly cheaper to run at scale compared to task-based competitors like Zapier.
- Advanced workflow logic including routers, filters, iterators, aggregators, and error handlers supports workflows far more complex than basic trigger-action tools, without requiring any coding.
- As of November 2025, all paid plan users can connect their own OpenAI, Anthropic, or other LLM provider API keys for AI Toolkit and AI agent features, reducing dependency on Make's bundled AI provider.
Cons
Limitations
- The credit consumption model is difficult to predict before building a scenario, particularly for workflows with loops or high-frequency triggers, which can lead to unexpected overage costs for new users.
- The visual canvas becomes difficult to navigate and debug for large, complex scenarios with many modules, which some users describe as resembling a tangle of connections that is hard to troubleshoot when errors occur.
Pricing
| Plan | Details |
|---|---|
| Free | 1,000 credits per month with access to the visual workflow builder, 3,000+ app integrations, routers and filters, and a 15-minute minimum interval between scenario runs. |
| Paid | Core plan from $9/month (annual) for 10,000 credits with unlimited active scenarios and API access. Pro plan adds priority execution and advanced debugging. Teams plan adds collaboration features. Enterprise plan provides custom volumes, SSO, audit logs, and 24/7 support. All paid plans support custom AI provider connections as of November 2025. |
Make offers a free plan with 1,000 credits per month. The Core paid plan starts at $9 per month (billed annually) for 10,000 credits and includes unlimited active scenarios, webhooks, HTTP modules, and Make API access. The Pro plan adds priority execution, custom variables, full-text execution log search, and higher credit volumes. The Teams plan adds team roles, shared scenario templates, and collaborative features. The Enterprise plan offers custom credit volumes, SSO, audit logs, enterprise app integrations, overage protection, and 24/7 support at custom pricing. Additional credits can be purchased at a 25% premium above the plan rate. A 15% discount is available on all plans with annual billing.
What is Make?
Quick Summary
Make (formerly Integromat) is a visual no-code automation platform that lets individuals and teams build multi-step automated workflows—called scenarios—by connecting apps and services through a drag-and-drop interface without writing code. It is designed for marketers, operations teams, agencies, developers, and small businesses that need to automate repetitive processes across tools like Google Sheets, HubSpot, Slack, Salesforce, and thousands of other applications. Make charges based on credits, where each module action in a scenario counts as one credit, giving users granular control over automation volume and cost.
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Associated Tags
no-code automation, workflow builder, app integration, AI agents, scenario automation, business process automation, data synchronization, webhook automation
Key Features
Target Audience
Who should use Make?
How professionals leverage Make – Visual No-Code Workflow Automation Platform
Discover practical workflows and real-world scenarios where Make delivers key solutions.
A marketing agency builds a scenario that captures form submissions, adds leads to HubSpot, sends a Slack notification to the sales team, and triggers a welcome email sequence—all without writing code.
An e-commerce operations team connects Shopify, a warehouse management system, and a shipping platform so that every new order automatically updates inventory and generates a shipping label.
An IT team creates a scenario that monitors a server health webhook, filters for critical alerts, and automatically creates a Jira incident ticket while paging the on-call engineer via PagerDuty.
A freelance consultant uses the free plan to automate client reporting by pulling data from Google Analytics and Sheets weekly and emailing a formatted summary to clients.
A SaaS company's growth team uses Make AI agents connected to their own OpenAI API key to classify incoming support tickets and route them to the correct team queue automatically.
A data operations team uses Make's iterator and aggregator modules to process large batches of records from a database, transform them, and load them into a reporting dashboard on a scheduled basis.
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