Make Review (2026): Features, Pricing, Pros & Cons
A visual, node-based automation canvas that handles branching logic Zapier struggles with, at a fraction of the cost — if you're willing to climb a steeper hill first.
Quick summary: Make (formerly Integromat) is the automation tool for people who've outgrown Zapier's linear Zaps but don't want to write code. Its drag-and-drop canvas makes branching, looping, and error-handling logic genuinely visual and debuggable, and its operation-based pricing is meaningfully cheaper than Zapier's task-based model at real volume. The cost is a real learning curve — this is not a five-minute setup tool.
Introduction
Make rebranded from Integromat a few years back and has since become the go-to recommendation for anyone who finds Zapier too limiting once a workflow needs conditional branches, loops, or aggregation across multiple data sources. The interface is a visual canvas of connected modules rather than a linear step list, and it shows the actual data flowing between them at every stage.
We rebuilt a multi-branch lead-routing workflow and a scheduled data-aggregation job in both Make and Zapier to compare directly. This review covers where Make's extra power pays off, where it becomes overkill, and what the still-real learning curve costs you in setup time.
What is Make?
Make is a cloud workflow automation platform built around a visual canvas: you drag 'modules' (app triggers and actions) onto a board and connect them with lines, including branches, routers, iterators, and aggregators that native Zapier-style tools handle far more awkwardly.
It connects to over 2,000 apps natively and adds an HTTP/webhook module for anything it doesn't support out of the box, plus a JSON/data-mapping layer that gives you fine control over exactly what data moves between steps.
Recent versions add AI modules for OpenAI, Anthropic, and other providers directly on the canvas, an AI Agents feature for autonomous multi-step decision-making, and a 'Make AI' assistant that can scaffold a scenario from a text description.
Key Features
What Make actually does day to day.
See every module, branch, and data payload on one drag-and-drop board.
Split one trigger into multiple conditional paths without duplicating logic.
Loop over arrays and roll up results back into a single output — hard to do in linear tools.
Native connectors plus HTTP/webhook modules for anything else.
Drop in OpenAI, Anthropic, or other model calls directly as canvas steps.
Give an agent a goal and let it choose which modules to run based on the data it sees.
Inspect the exact data at every module for every past run, replay failures individually.
Built-in lightweight storage and flexible interval/cron-style scheduling.
Ease of Use & Performance
Real-World Use Cases
- Routing leads to different sales reps based on region, deal size, and source in one scenario
- Aggregating data from five spreadsheets into one weekly report automatically
- Enriching new CRM contacts with AI-generated company summaries before assigning owners
- Running scheduled scrapes and syncing results into a database
- Building multi-condition approval workflows for expense or content requests
- Auto-tagging and routing support tickets by AI-classified urgency and topic
- Syncing inventory and pricing across multiple e-commerce channels
- Orchestrating multi-step content pipelines: draft, review, publish, and notify
Copy & Paste Prompts
Paste these straight into Make and edit the bracketed parts.
Design a Make scenario: watch a Google Sheet for new rows tagged 'urgent', use an AI module to draft a Slack message summarizing the row, post it to #alerts, then mark the row as processed. Include a router that skips rows missing a required field and logs them to an error sheet instead.
Given this support ticket text, return JSON: {category: one of [Billing, Bug, Feature, General], urgency: Low|Medium|High, suggested_owner: team name}. Be concise and only return the JSON object.
Ticket:
[PASTE TICKET]Strengths & Weaknesses
- Visual canvas makes complex branching logic genuinely easier to build and debug
- Operation-based pricing is significantly cheaper than Zapier at real volume
- Granular data-mapping gives precise control most no-code tools lack
- Execution history shows the exact payload at every step, great for debugging
- AI modules and Agents integrate cleanly into visual scenarios
- Steeper learning curve than Zapier — modules, routers, and mapping take real time to learn
- Smaller native app catalogue than Zapier, more reliance on generic HTTP modules
- Canvas can get visually cluttered on very large scenarios
- Documentation and community are good but thinner than Zapier's
- Error handling requires more manual setup to get right
Pros & Cons
- Best-in-class visual logic for branching and looping workflows
- Meaningfully cheaper per-operation at scale
- Deep visibility into data at every automation step
- Strong AI module and Agent support
- Flexible scheduling and data-store options
- Generous free tier for learning
- Not beginner-friendly on day one
- Fewer native integrations than Zapier for niche apps
- Complex scenarios need ongoing maintenance
- Team collaboration features lag behind enterprise automation tools
Pricing & Free Plan
- 1,000 operations/month
- 2 active scenarios
- Core apps and modules
- Community support
- 10,000 operations/month
- Unlimited active scenarios
- Full app library
- 1-minute minimum interval
- 10,000+ operations, scalable
- Shared team workspace
- Priority support
- Custom variables and advanced permissions
Free includes 1,000 operations a month across two active scenarios, which is plenty to learn the canvas and run one or two lightweight personal automations, but too tight for any real business workflow with regular volume.
Stay on Free while you're learning the tool. Move to Core the moment you have a real workflow running in production — the price jump is small and the operation ceiling triples. Teams is worth it once several people need shared visibility into the same scenarios.
Alternatives Compared
| Tool | Best for | How it compares |
|---|---|---|
| Zapier | Fastest setup for simple workflows | Easier to start with and far more native integrations, but pricier at volume and weaker branching. |
| n8n | Self-hosted, code-friendly automation | Open-source and free to self-host with no operation cap, but requires more technical setup. |
| HubSpot | CRM-native workflows | Better if your automation is mostly marketing/CRM logic rather than cross-app orchestration. |
| ChatGPT | Content generation inside scenarios | Pairs well as the AI module powering drafting and classification steps in Make. |
Our Verdict
Make rewards people who take a couple of hours to actually learn routers, iterators, and data mapping. Once it clicks, it lets you build automations that would be awkward or impossible in a purely linear tool, and it does it for noticeably less money than Zapier at real volume.
It's the wrong choice if you want something running in the next five minutes with zero learning curve — Zapier still wins there. But for teams with genuinely branching logic and a bit of patience, Make is the better long-term investment.
Frequently Asked Questions
Is Make cheaper than Zapier?+
Generally yes, especially at higher volume. Make bills by 'operations' (roughly one per module execution) and its tiers include far more operations per dollar than Zapier's task-based pricing.
Is Make hard to learn?+
Harder than Zapier, yes. The visual canvas, routers, and data-mapping take real time to understand, but they also unlock logic Zapier can't easily do. Budget a few hours with the documentation before your first real scenario.
Does Make have AI features?+
Yes — dedicated AI modules for major model providers that you can drop into any scenario, plus an AI Agents feature for more autonomous, goal-based workflows.
Can I self-host Make?+
No, Make is cloud-only. If you need self-hosting for cost or data-residency reasons, look at n8n instead.
What's the free plan good for?+
1,000 operations a month across two scenarios — enough to learn the tool and run a very light personal automation, not enough for business-critical workflows.
Related AI Tools
The easiest starting point for simple automations.
Open-source, self-hostable automation.
CRM with native marketing automation.
AI module for drafting and classification steps.
Feed campaigns from your Make scenarios.
Social scheduling triggered by automations.
Related Workflows
Route and enrich leads with branching logic.
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