Tools & Reviews6 min read20 April 2026

Make.com Review 2026: The Automation Tool for Complex Workflows

An honest review of Make.com after years of daily use — where it beats Zapier, where it falls short, and the specific scenarios where it's the right choice.

H

Haroon Mohamed

AI Automation & Lead Generation

What Make.com is and who built it

Make.com (formerly Integromat) is a visual automation platform. You build scenarios by connecting apps on a canvas — each node is a tool, each line is data flowing between them.

It was acquired by Celonis in 2020 and rebranded from Integromat to Make.com in 2022. The core product has remained the same: a more powerful, more visual, and more technical alternative to Zapier.


Pricing (as of April 2026)

Make uses an operation-based pricing model. Every time a module runs, it counts as one operation.

  • Free: 1,000 operations/month, 2 active scenarios
  • Core: $9/month — 10,000 operations/month
  • Pro: $16/month — 10,000 operations, priority execution, full toolkit
  • Teams: $29/month — 10,000 operations, team seats, shared scenarios
  • Enterprise: custom pricing

At higher volumes, you pay for additional operations. 50k/month lands around $50, 100k around $100.

The pricing model is worth understanding: a single "run" of a scenario with 10 modules = 10 operations. If your scenario loops over 100 contacts and each loop has 5 modules, that's 500 operations per run.


Where Make beats Zapier

Visual flow builder

Make's canvas view makes complex flows understandable at a glance. You can see branches, iterators, loops, error handlers — all on one screen. Zapier shows a linear list.

For anything with more than 3 branches, this visual difference matters.

Data transformations

Make has a deep function library: string manipulation, date formatting, math operations, array/object handling, regex. Zapier's Formatter covers the basics but hits walls fast.

Real example: parsing a VAPI call transcript to extract budget keywords, score the lead, and format a structured JSON to POST to GoHighLevel. In Make, this is three modules. In Zapier, you'd probably need a Code step (Python/JavaScript).

Iterators and aggregators

Make's iterator module takes an array and processes each element. The aggregator bundles results back together. This is how you handle "for each row in this CSV" or "for each line item on this invoice."

Zapier handles this with line-item support, but it's clunkier and more limited.

Error handling

Make has first-class error branches. If a module fails, you can catch the error, log it, retry with different logic, or alert a human. You can ignore errors, route to an alternative path, or commit/rollback transactions.

Zapier's error handling is basically "retry or skip." Make treats errors as first-class citizens in your flow.

Cost at scale

For high-volume automation, Make is significantly cheaper. 100k operations = $100/month on Make. The equivalent on Zapier (20k tasks) = roughly $300/month.


Where Make falls short

Learning curve

Make is harder to learn. The mapping system (pulling data from previous modules via a visual picker), the function syntax, iterator behavior, error handling — each takes real time to understand.

A non-technical marketer can probably build a basic Zapier flow in an hour. Make takes closer to a day of actual learning before someone is productive.

Error messaging

Make's errors can be cryptic. "Bundle validation failed" doesn't tell you which bundle or which field. You often have to inspect execution history, expand bundles manually, and hunt down the issue.

App support

Zapier has 6,000+ integrations. Make has around 1,800 (as of early 2026). For common tools (Google, HubSpot, Slack, Stripe, Shopify), both are fine. For niche tools, Zapier often wins on coverage.

HTTP-first tools missing

A few tools that are Zapier-first don't have Make modules and require HTTP requests instead. It works, but it's more effort.

No drag-to-reorder

In Make's canvas, moving modules around is awkward. You often find yourself rebuilding flow paths because the visual is hard to restructure.


Real scenarios where Make wins

Lead enrichment pipeline

Take a lead from a webhook → query Apollo for company data → query Hunter for email verification → if both succeed, score the lead → POST to CRM. If Apollo fails, fall back to Clearbit. If both fail, log to a Google Sheet for manual review.

In Make: one scenario with error branches. In Zapier: multiple Zaps with hacky logic.

Multi-CRM sync

Sync contacts between HubSpot and GoHighLevel, with conflict resolution (HubSpot wins on name changes, GHL wins on stage changes), de-duplication, and field mapping.

Make's data transformations and error handling make this tractable. Zapier would require multiple Zaps and external logic.

Webhook transformation

Take an incoming webhook in one format, transform it into 3 different formats for 3 different downstream systems, with validation on each.

Make has data mappers, routers, and JSON parsers that make this clean.


Real scenarios where Zapier wins

Quick one-off Zaps

"New Typeform submission → Slack message to #sales channel." 2 minutes on Zapier.

Non-technical team building

If your marketing coordinator needs to build automations and has no technical background, Zapier's UX is genuinely friendlier.

Tools only Zapier supports

If a critical tool has no Make integration, Zapier wins by default.


Common pricing mistakes

Under-estimating operations

A scenario that iterates over 500 contacts and has 8 modules = 4,000 operations per run. Running daily = 120,000 ops/month. At 120k ops, you're on the Teams plan minimum + overage.

Always math out operation count before committing to Make pricing.

Not using the allowance

If you're on Pro at 10k operations and you're only using 2k, Make is cost-inefficient. Zapier might be cheaper at that volume.

Ignoring the free tier for prototyping

Build scenarios on the free tier first to validate operation count before moving to paid.


When I recommend Make

  • You have technical or semi-technical users
  • You're building flows with 5+ modules or complex branching
  • You need data transformations beyond simple field mapping
  • You're doing 10k+ operations/month (cost advantage)
  • You need real error handling

When I recommend Zapier instead

  • Non-technical users building most automations
  • Simple 2-3 step flows with native integrations
  • A tool you need is Zapier-only
  • <5k tasks/month and you value simplicity

Make vs. n8n (the other main competitor)

n8n is the open-source alternative. Self-hosted is free but requires maintenance. n8n Cloud pricing is similar to Make.

Make wins on: polished UI, stable reliability as a managed service, better app coverage. n8n wins on: cost control (self-host), custom code nodes, data sovereignty.

For most small businesses, Make is the better choice. For developer teams or data-sensitive workloads, n8n self-hosted is worth considering.


Sources

Pricing data from make.com/en/pricing and zapier.com/pricing as of April 2026. App count is from each platform's own documentation. Feature comparisons are based on current product capabilities and documented features. "Operations" and "tasks" definitions are from each platform's glossary.

Need help deciding between Make, Zapier, or n8n for your specific workflow? Let's talk — I can audit your current setup and recommend the right tool.

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H

Haroon Mohamed

Full-stack automation, AI, and lead generation specialist. 2+ years running 13+ concurrent client campaigns using GoHighLevel, multiple AI voice providers, Zapier, APIs, and custom data pipelines. Founder of HMX Zone.

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