Make Review 2026

Make (make.com) is a visual automation platform that connects apps and services into workflows—called scenarios—on a single canvas. Unlike purely linear tools, Make lets you branch, iterate, and transform data in one place and uses a credit-based pricing model that many teams find more affordable at scale. This review walks through what Make does, who it’s for, how it’s priced, and how it stacks up against alternatives in 2026.

Quick overview

Product overview

Make is a visual automation platform that lets you build scenarios—workflows that connect apps and run automatically. You design on a canvas: add modules (triggers and actions), connect them, and use routers, filters, and iterators to create branching and data transformation without code. Each module run consumes credits; plans are built around monthly credit allowances and optional add-ons.

Make started as Integromat and rebranded to Make to reflect its focus on “making” automations simple and visual. The product has grown to support 3,000+ apps, AI agents and tools, Make Code (JavaScript and Python inside scenarios), and subscenarios for reusing logic.

It targets individuals, freelancers, SMBs, and teams that need more than simple one-trigger-one-action chains—especially when cost at scale and visibility into complex flows matter.

Positioning in 2026. Make sits between entry-level automation (e.g. simple Zapier Zaps) and enterprise platforms (e.g. Workato). Its strengths are the visual canvas, credit-based pricing (often cheaper than per-task pricing at high volume), routers and filters for logic, and a growing AI layer (Agents, Toolkit, Content Extractor, Web Search). The company emphasizes “plans that grow with you,” from a free tier with no time limit to Teams and Enterprise with collaboration and governance. For teams that outgrow free or low-tier limits elsewhere, Make is a common next step.

Features in depth

Core features

Visual scenario builder. The heart of Make is the scenario editor: a canvas where you add modules (trigger and action blocks) and connect them. You see the full flow at a glance, which makes branching and debugging easier than in purely linear builders. Drag-and-drop connection between modules, copy/paste of modules or branches, and templates from the library speed up building. Scheduling supports instant triggers (webhooks, app events), polling, and scheduled runs (on paid plans, down to 1-minute intervals; free plan has a 15-minute minimum). Execution history shows runs, errors, and data at each step so you can troubleshoot without leaving the UI. Routers and filters. Routers split one flow into multiple paths so you can handle different cases (e.g. “if condition A, do X; if B, do Y”). Filters prevent a branch from continuing unless conditions are met (e.g. “only continue if field X is not empty”). Together they replace a lot of custom code and make multi-path logic clear on the canvas. Iterators process arrays item-by-item so one trigger can drive many actions (e.g. one webhook payload with 50 items runs the next module 50 times). Aggregators combine multiple items back into one bundle for a single downstream action. These are among Make’s strongest differentiators for complex workflows. Data handling and variables. Between modules you can map fields from previous steps and use functions (string, math, date, etc.) to transform data. Variables store values for reuse in the same scenario or across scenarios (e.g. custom variables on Pro and above). System variables expose scenario, execution, team, and organization metadata so you can build dynamic flows (e.g. “run ID,” “scenario name”). This makes data transformation and routing logic straightforward without writing code. Integrations. Make offers 3,000+ standard apps (e.g. Google Workspace, Slack, HubSpot, Airtable, Shopify, Stripe, Notion). Each app has modules (triggers and actions) that you connect on the canvas. Custom apps (Teams/Enterprise) let you define your own connectors and share them in your organization. HTTP / REST and webhooks allow you to call any API. Enterprise adds enterprise app integrations and an on-prem agent for connecting to local networks and systems like SAP. Make API (Core and above) exposes hundreds of public endpoints so external systems can start scenarios, manage connections, and more—useful for embedding automation in your own products or scripts. Execution and reliability. Scenarios run on Make’s infrastructure (AWS in EU and North America). Parallel execution (on supported plans) processes multiple items at once for faster runs. Priority execution (Pro and above) reduces queuing during peak times. Execution time and file size limits vary by plan (e.g. max scenario run time in minutes, max file size in MB). Error handling can be managed with routes and filters (e.g. “on error, send to Slack”) and by inspecting execution logs. Subscenarios let you call another scenario as a step, so you can reuse logic and keep main scenarios readable.

Advanced and AI features

Make AI Toolkit. The AI Toolkit provides built-in AI tools inside scenarios—e.g. generate text, classify, summarize—using Make’s AI Provider (included on all plans) or your own LLM API key. You can plug these tools into any scenario step, so automations can make decisions or transform content without leaving Make. Make AI Agents (beta). AI Agents let you build and manage agents that use Make’s AI Provider or your own LLM. Agents can drive multi-step workflows, answer questions, or act on data. This is in beta; capabilities and limits may change. AI Content Extractor. Extract structured text and metadata from files (e.g. PDFs, documents) directly in a scenario, so you can automate document processing and feed results into other apps. AI Web Search (beta). Bring live web data into automations with built-in AI search and structured outputs—useful for research, monitoring, or enrichment without building your own scrapers. Make Code App. For advanced logic, Make Code runs JavaScript or Python inside a scenario step. Execution is metered (e.g. 2 credits per second of code run time). This is ideal for custom calculations, parsing, or API logic that would be cumbersome with modules alone. Custom functions (Enterprise) extend this further with reusable code. MCP server. The Make MCP Server lets you connect external AI assistants (e.g. Claude, ChatGPT) to your Make scenarios so you can trigger or query automations from chat or other tools. Governance and observability (higher plans). Make Grid (Teams/Enterprise) gives a view of your automation landscape and usage. Relation trees visualize how scenarios link to each other. Audit logs (Enterprise) record user actions. Credits overage protection (Enterprise) can keep scenarios running when you hit your credit limit, under agreed terms. Analytics Dashboard (Teams/Enterprise) shows how workflows are used and how they perform over time.

Integrations

Make’s 3,000+ apps cover CRM & sales (HubSpot, Pipedrive, Salesforce), marketing (Mailchimp, ActiveCampaign, Facebook, LinkedIn), productivity (Google Workspace, Notion, Airtable, Slack), e-commerce (Shopify, WooCommerce, Stripe), databases (PostgreSQL, MySQL, MongoDB), storage (Google Drive, Dropbox), and many niche tools.

The integration directory on make.com is searchable and filterable. Webhooks and HTTP modules let you connect to any REST API. Custom apps (Teams/Enterprise) and enterprise apps (Enterprise) extend the ecosystem for your organization. AI apps (350+ in the ecosystem) add AI capabilities into scenarios. If you need something not listed, webhooks and Make Code usually fill the gap.

Pricing

Make uses a credit-based model. Each module action in a scenario (e.g. “Add a row to Google Sheets,” “Get a Gmail message”) consumes one credit. Some features use more (e.g. Make Code at 2 credits per second of execution). Data transfer scales with your plan (e.g. 5 GB per 10,000 monthly credits). Pricing below is indicative for 2026; confirm on make.com/pricing.

Free — $0/month. Includes 1,000 credits per month, 2 active scenarios, 15-minute minimum interval between scheduled runs, routers & filters, 3,000+ apps, the no-code visual builder, and customer support. There is no time limit on the free plan. Suited for learning and light automation. Core — $9/month (for 10k credits/month). Everything in Free, plus Make API access, increased data transfer, unlimited active scenarios, and scheduled scenarios with a 1-minute minimum interval. Good for individuals and freelancers running several automations. Pro — $16/month (for 10k credits/month). Everything in Core, plus full-text execution log search, custom variables, and priority scenario execution. Suited for power users and small teams who need faster runs and easier debugging. Teams — $29/month (for 10k credits/month). Everything in Pro, plus create and share scenario templates and teams and team roles for collaboration. Aimed at teams that need shared workflows and permission control. Enterprise — Custom pricing. Everything in Teams, plus advanced security (e.g. SSO, 2FA enforcement, domain claim), credits overage protection, Value Engineering team access, 24/7 Enterprise support, enterprise app integrations, custom functions, and on-prem agent for local/SAP connectivity. For organizations with strict security and scale requirements. Credit packs. You can select higher credit tiers (e.g. 20k, 40k, 80k up to 8M+ credits per month); price per credit generally decreases at higher tiers. Annual billing typically saves 15% or more; yearly credit flexibility (e.g. prepaid credits valid 12 months) is available on some plans—check Make’s FAQ. Unused credits on monthly plans do not roll over. Overage behavior depends on plan; Enterprise can get overage protection. See Make’s help center for “What happens if I run out of credits?” and payment methods. Pricing as of 2026; verify at make.com/pricing.

Strengths and limitations

Strengths

• Visual canvas — Seeing the whole workflow and all branches on one canvas makes complex logic easier to design and debug than in linear, step-by-step UIs. Routers, filters, and iterators are first-class.
• Credit-based pricing — One credit per module action is easy to reason about. At high volume, teams often find Make cheaper than per-task competitors. Free tier (1,000 credits, no time limit) is generous for trying and light use.
• Complex workflows — Branching, iteration, aggregation, and subscenarios support sophisticated automations (e.g. “for each row, call API, then aggregate results and write to DB”) without writing code.
• Data transformation — Built-in mapping, functions, and variables reduce the need for external scripting. Make Code (JS/Python) is there when you need it.
• AI features — AI Toolkit, AI Agents (beta), Content Extractor, and AI Web Search extend scenarios with AI without always requiring your own APIs. MCP server connects external AI to Make.
• Integrations — 3,000+ apps plus HTTP/webhooks and custom/enterprise apps cover most needs. AI app ecosystem adds 350+ AI-oriented connections.
• No time limit on free — You can run free forever within the 1,000-credit and 2-scenario limits, which helps evaluation and small projects.
• Transparency — Execution logs, relation trees (higher plans), and full-text log search (Pro+) make it clear what ran and what failed.

Limitations

• Learning curve — The canvas and concepts (routers, iterators, credits) can be steeper than linear automation tools. New users may need a few hours to feel comfortable.
• Fewer apps than Zapier — Make has 3,000+; Zapier has 5,000+. If you rely on a niche app, Zapier might have it when Make doesn’t (though webhooks and Make Code can often compensate).
• Free tier limits — 2 active scenarios and 15-minute minimum interval restrict production use; Core or above is needed for serious automation.
• Support tiering — Best support (24/7, Value Engineering) is on Enterprise. Lower tiers rely on help center and standard support; some users report slower responses for complex issues.
• Credit expiry — Unused credits don’t roll over on monthly plans. You need to size your plan to your usage or consider annual credit flexibility where offered.
• Naming and branding — The shift from Integromat to Make and occasional UI changes can create temporary confusion; documentation and community have largely caught up.

How Make compares

Make vs. Zapier — Make wins on visual complexity (canvas, routers, filters), credit-based pricing at scale, and free tier (1,000 credits, no time limit). Zapier wins on number of apps and ease of use for simple Zaps. Choose Make for complex, multi-path workflows and cost control at higher volume; choose Zapier for maximum integrations and the simplest learning curve. Make vs. n8n — Both offer visual, node-based automation. Make is cloud-only and commercial with a free tier; n8n is open-source and self-hostable (or cloud). Choose Make for a managed service and integrated AI/enterprise features; choose n8n for control over data and infrastructure or preference for open source. Make vs. Workato — Workato is enterprise-focused with strong governance, security, and IT controls; Make is accessible to individuals and SMBs with simpler pricing. Choose Workato for large enterprises with strict compliance; choose Make for mid-market and teams that want power without enterprise pricing. Make vs. Integrately — Integrately emphasizes one-click templates and quick setup; Make emphasizes customization and complex logic on a canvas. Choose Integrately for fast, template-driven automations; choose Make when you need branching, iteration, and full control. Make vs. Tray.io — Tray.io targets embedded and enterprise workflows with a strong API story; Make targets broad adoption inside teams with a visual builder. Choose Tray for embedding automation in a product or deep API-centric use; choose Make for internal team automation and visibility.

Getting started and usability

Sign-up and setup. You create an account at make.com. Then you create a scenario, pick a trigger (e.g. Google Sheets “Watch rows,” Webhooks “Custom webhook”), add actions (e.g. Gmail “Send an email,” Slack “Create a message”), and connect modules by mapping fields. Connections to apps are done via OAuth or API keys in the connection manager. The UI guides you through required fields and common mappings. Templates in the library give you a starting point for popular use cases. Learning curve. Basic scenarios (one trigger, one or two actions) are quick to build. Routers, filters, iterators, and variables take longer to master but are well documented. Make Code and custom functions assume some scripting. Overall, expect a steeper curve than Zapier for simple flows, but a flatter curve for complex ones because the canvas keeps logic visible. The help center, community, and Academy (courses) support learning. Execution history and error messages help debug without external tools. Interface. The scenario editor is the main workspace: left panel for modules and apps, center canvas for the flow, right panel for module configuration and data. You zoom, pan, and use keyboard shortcuts for speed. Connections, data stores (if used), and organizations/teams are managed from the main menu. The UI is dense but consistent; power users appreciate the information density. Mobile access is via the responsive web app; there is no dedicated native app, but you can monitor and manage from a browser on a phone. Support. Free and Core get customer support (help center, community, and standard channels). Pro and Teams get technical support from Make’s team. Enterprise gets 24/7 support and access to the Value Engineering team for onboarding and strategy. Response times and depth vary by plan; Enterprise has the highest-touch option.

User feedback and ratings

On review sites (e.g. G2, Capterra, TrustRadius), Make typically scores in the mid- to high-4 range (e.g. 4.5–4.7 out of 5) with strong feedback on flexibility and value.

Users praise the visual canvas (“see the whole flow,” “branching is clear”), credit system (“predictable cost,” “cheaper than Zapier at our volume”), routers and filters (“no code needed for logic”), and generous free tier (“ran for months on free”). Critiques often mention learning curve (“took a while to get routers”), fewer apps than Zapier for some niches, support wait times on lower tiers, and documentation sometimes lagging new features. Power users and ops/marketing teams tend to rate Make highly; beginners sometimes prefer simpler tools until they hit the limits of linear automation.

Overall, feedback aligns with Make being a strong choice for complex workflows and cost-conscious teams.

Who it's best for (and who it's not)

Best for

• Power users who want full control over branching, iteration, and data flow on a single canvas.
• Teams running many automations across CRM, marketing, productivity, and e-commerce who want one place to see and maintain them.
• Volume-sensitive teams that prefer credit-based pricing over per-task pricing as usage grows.
• Users who outgrew free or low-tier limits on other platforms (e.g. Zapier) and need more scenarios and runs without a big cost jump.
• Organizations that need AI inside workflows (Toolkit, Agents, Content Extractor, Web Search) without building everything in code.
• Mid-market and SMB teams that want advanced automation without full enterprise pricing or complexity.

Less ideal for

• Beginners who only need simple “when X then Y” automations; linear tools may be faster to start with.
• Teams that need a specific niche app only available on Zapier or others; check Make’s directory and webhooks/Code as fallbacks.
• Enterprises that require strict governance, audit, and on-prem connectivity out of the box; Workato or Tray may fit better, though Make Enterprise narrows the gap.
• Self-hosting or open-source requirements; n8n or similar is a better fit.
• One-off or very low volume use where the learning curve doesn’t pay off; a simpler tool or manual process might suffice.

Real-world examples

Make’s case studies and community show a wide range of use. Typical patterns include: lead and data enrichment (form or CRM trigger → enrich with external API → score → assign and notify); content and marketing (new blog post or asset → publish to social, email, and analytics); e-commerce and ops (new order → check inventory → create shipping label → notify customer and warehouse); support (new ticket → categorize → assign → escalate if unresolved); internal ops (onboarding trigger → create accounts in multiple systems → send welcome and schedule training).

Companies that adopt Make often cite replacing manual handoffs between tools, reducing errors, and scaling the same workflow to higher volume without proportionally higher cost. Results depend on scenario design, app reliability, and credit usage; the platform is built to support these multi-step, multi-app flows.

Roadmap and considerations

Make continues to invest in AI (Agents, Toolkit, Content Extractor, Web Search, MCP), enterprise (security, overage protection, Value Engineering, audit), and integrations (custom apps, enterprise apps, on-prem). Beta features (e.g.

AI Agents, AI Web Search) may change in pricing or capability. Pricing and credit rules (e.g. rollover, overage) are documented on the help center and pricing page—worth checking before committing. Rebrand from Integromat to Make is complete; future product or company changes could affect positioning. Competition from Zapier, n8n, Workato, and others keeps pressure on features and pricing; Make’s position as the visual, credit-based option for complex workflows remains relevant in 2026.

If you rely on specific betas or plan limits, review the current terms periodically.

Summary

Make is the visual automation platform for teams that need more than linear trigger-action chains. The canvas, routers, filters, and credit model make it a strong fit for complex, multi-app workflows and for controlling cost at higher volume.

The free tier (1,000 credits/month, no time limit) is generous for trying and light use; Core and Pro unlock unlimited scenarios, shorter intervals, and better debugging; Teams and Enterprise add collaboration, governance, and premium support.

If you’re weighing Make vs. Zapier, n8n, or Workato: choose Make when visual control, branching logic, and credit-based pricing matter more than maximum app count or the simplest possible onboarding. For many power users and ops-focused teams, Make remains the go-to for complex scenarios at a competitive price in 2026.

Verdict: 4.5/5 — The visual automation choice for complex workflows and scale.