Make Review 2026: Features, Pricing, and Alternatives

Make is an automation platform that connects your apps through visual workflows. It’s a capable tool, but users often mention a steep learning curve and confusing credit-based pricing. I tested it hands-on for this Make review to see how the platform works, where it excels, and where alternatives might be a better fit.

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. It replaces repetitive tasks with multi-step “scenarios” that move data between tools like CRMs, email platforms, and databases. 

It’s different from simpler automation tools as it gives you advanced options such as branching, scheduling, and error handling. This allows Make to handle complex business workflows.

Key Make features

Make provides a visual way to build workflows. Here are the features that stand out:

• Visual scenario builder: Drag-and-drop modules let you link apps into multi-step workflows. Each scenario starts with a trigger and processes data through connected actions.
• Advanced logic tools: Routers branch workflows, filters add conditions, and iterators or aggregators handle arrays. Error handlers define what happens when steps fail, so workflows don’t stall.
• Flexible scheduling: Scenarios can run on timed intervals or trigger instantly using webhooks.
• Execution logs: Every run records detailed logs, making it easier to track and troubleshoot errors.
• Data stores: Built-in storage holds reusable information, helping with scenarios that need memory or state.
• Wide integrations: Thousands of supported apps cover CRMs, marketing platforms, communication tools, and databases.
• Enterprise security: Compliance with GDPR and SOC 2, and support for single sign-on to address enterprise requirements.

How does Make work?

Make works by running workflows called scenarios. A scenario connects apps through a series of modules that pass data from one step to the next. Each run starts with a trigger, such as a new row in a spreadsheet, and executes the connected actions in order.

Here’s how the setup looks:

1. Choose a trigger: Start with an event like a form submission or an email received.
2. Add actions: Link apps to perform tasks such as sending emails, updating records, or creating tasks.
3. Apply conditions: Use filters or routers to split data into different paths.
4. Handle errors: Add error handlers that decide whether to ignore, retry, or roll back failed steps.
5. Test and schedule: Run the scenario with sample data, then set the frequency or rely on instant triggers like webhooks.
6. Monitor runs: Check detailed logs to see how each bundle of data moved through the workflow.

Next, let’s compare some of the Make competitors, Lindy and Zapier, to uncover their strengths and weaknesses.

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

Users often compare Make with Zapier and Lindy as all three promise workflow automation. However, each platform approaches it differently. Here’s how they compare:

Zapier is the easiest option for quick, linear workflows. Make suits teams that need flexibility and control over their workflows. Lindy lets you create custom AI agents that can talk to customers, manage inboxes, and follow up across channels. 

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Pros and cons of Make

Make can automate complex workflows but has a steep learning curve. Here are a few more pros and cons to help you decide if it's worth it:

What works really well

• Complex branching: Routers, filters, and iterators give teams control over how data flows, making it ideal for complex processes.
• Detailed logs: Each run shows step-level information, which helps when troubleshooting.
• Cost efficiency at scale: The credit-based model can be cheaper than task-based tools for large, multi-step workflows.
• Wide integrations: Thousands of supported apps mean you rarely hit a dead end when building a scenario.

Where it falls short

• Learning curve: New users often need time to understand how to map fields and manage branching.
• Support experience: Reviews on platforms like Trustpilot cite mixed experiences with error clarity and response times.
• Pricing confusion: Credits versus operations can be difficult to grasp at first, which makes estimating costs harder than on task-based models.

Should you use Make? My take

You should choose Make if you need detailed, multi-step automations and don’t mind a learning curve. It’s less suited for simple tasks or communication-heavy workflows. The clear distinction below will help you decide:

Make is perfect for:

• Operations and RevOps teams that need branching automations to move data across CRMs, spreadsheets, and marketing tools.
• Technical marketers who want to enrich leads, split them by score, and send them into different campaigns.
• IT and support teams that rely on conditional logic and error handlers to keep processes reliable.
• Data-heavy projects that require arrays, iterators, or custom error handling.

Skip Make if you:

• Want to deploy AI communication like phone calls, follow-ups, or inbox management. Tools like Lindy cover this with prebuilt AI agents.
• Only need two-step automations like “send an email when a form is filled.” Zapier is faster to set up and easier for beginners.
• Prefer pricing you can predict without decoding credits. 

Make can feel complex, but once you master it, it’s a highly capable automation platform. Let’s explore how you can set up a workflow in Make.

How to get started with Make in 9 steps 

Setting up a workflow in Make is straightforward once you know the sequence. Here’s a step-by-step process for new users:

1. Create an account: Sign up and explore the Free plan to test the basics.
2. Pick a template or start blank: Templates help you learn the structure, while blank scenarios give full control.
3. Set a trigger: Choose an event like a form submission, a new lead in your CRM, or a scheduled time.
4. Add actions: Connect apps to perform tasks such as sending emails or updating records.
5. Map fields: Align data from one module to another so information flows correctly.
6. Insert filters or routers: Add conditions to split data into different paths.
7. Configure error handlers: Decide how the scenario reacts to failures. You can set it to ignore, retry, or stop the flow.
8. Test and refine: Run with sample data and check execution logs.
9. Schedule or activate webhooks: Move from test runs to real workflows.

Start with low-frequency runs while testing. This keeps credit usage under control until the workflow is stable. Next, let’s look at best practices to avoid common mistakes.

Make best practices I wish I knew earlier

I discovered these best practices during my review time with Make. Following them can save time and prevent issues. Here are the most valuable ones:

• Name everything clearly: Label modules, variables, and routes so logs are easy to follow later.
• Start slow with scheduling: Run scenarios on longer intervals during testing to avoid burning through credits.
• Use filters early: Place filters at the start of routes to stop bad data before it spreads across multiple steps.
• Leverage error handlers: Add dedicated paths for retries or alternative actions instead of letting a failure halt the entire workflow.

Here are the common mistakes to avoid: 

• Overloading one scenario with too many responsibilities 
• Skipping test runs with sample data
• Ignoring execution logs

If you follow these, you’ll find that Make becomes more reliable and easier to maintain.

Make.com review: My verdict

Make is ideal for teams that need complex, branching automations. Its visual builder, filters, and routers allow workflows that many other tools can’t match. The trade-off is a steeper learning curve. 

Make pricing also requires understanding and monitoring credits. If Make is a bit too much effort for you, you can explore some easy-to-deploy AI agent tools.

Pick Lindy if you need AI communication and automation, like agents that can call, email, and follow up, and automate repetitive workflows. For simpler workflows, Zapier remains the easiest starting point.

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Try Lindy to automate tasks across sales, CRM, and support

Lindy is an AI automation platform that lets you build custom AI agents for everyday business tasks. You can use the prebuilt templates and integrate 4,000+ apps into your workflows. It’s a strong alternative to Zapier and Make. 

Lindy helps automate your workflows with features like: 

• Drag-and-drop workflow builder for non-coders: You don’t need any technical skills to build workflows with Lindy. It offers a drag-and-drop visual workflow builder. 
• Create AI agents for your use cases: You can give them instructions in everyday language and automate repetitive tasks. For instance, create an assistant to find leads from websites and sources like People Data Labs. Create another agent that sends emails to each lead and schedules meetings with members of your sales team.‍
• Update CRM fields without manual entry: Instead of just logging a transcript, you can set up Lindy to update CRM fields and fill in missing data in Salesforce and HubSpot without manual input​. ‍
• Lindy Build: You can create an app by just describing it to Lindy. The AI creates full-stack builds with QA agents that continuously help you debug the code.‍
• Send follow-up emails and keep everyone in sync: Lindy agents can send follow-up emails, schedule meetings, and keep everyone in the loop by triggering notifications in Slack by letting you build a Slackbot. ‍
• Lead enrichment: You can configure Lindy to use a prospecting API (People Data Labs) to research prospects and to provide sales teams with richer insights before outreach. ‍
• Automated sales outreach: Lindy can run multi-touch email campaigns, follow up on leads, and write follow-up replies using open rates, clicks, and prior messages.‍
• Cost-effective: Automate up to 40 monthly tasks with Lindy’s free version. The paid version lets you automate up to 1,500 tasks per month, which is a more affordable price per automation compared to many other platforms.

Try Lindy free and automate up to 40 tasks with your first workflow.

Frequently asked questions

Is Make the same as Integromat?

Yes, Make is the rebranded version of Integromat. The company phased out the old name and unified everything under Make to simplify its product line.

How much does Make cost in 2026?

Make costs from $10.59/month for the Starter plan, billed monthly. There’s also a Free plan with limited credits. 

Can I use Make for free?

Yes, you can use Make for free with its Free plan that includes a small number of credits each month. This plan lets you test the platform before committing to a paid tier.

Who is Make best for?

Make is best for teams that need multi-step workflows, advanced branching, and complex automations. It suits operations, IT, and marketing teams who are comfortable mapping fields and handling conditions.

How does Make compare to Lindy?

Make is a workflow automation platform that lets you automate complex workflows. Lindy lets you do that using its AI agents, so you need not write code or set up complex integrations and logic.  

What are the limitations of Make?

Limitations of Make include a steep learning curve, pricing that can confuse new users, and reviews that mention mixed support and error clarity.

What is the best automation tool in 2026?

Lindy, Zapier, and Make are among the best automation tools in 2026. Zapier is easiest for small automations, Make works best for complex data workflows, and Lindy lets non-technical users create AI agents and automate tasks using the no-code workflow builder.