Someone asks me about Zapier vs Make every week, usually after their first Zapier bill. The short version: Zapier is the fastest way for a non-technical person to connect two apps and be confident it works. Make is the cheapest and most capable way to connect several, once you have learned to think on its canvas. Both are good. The mistake is picking on price alone or on reputation alone, so this article is about the fit: how each one charges, what each does well, and — because I build these for clients on both — where the choice actually changes the outcome.
If the word “webhook” is fuzzy, read the webhook explainer first; both tools are largely webhooks with a friendly face.
The one-table comparison
| Zapier | Make | |
|---|---|---|
| Mental model | A list of steps (trigger → actions) | A visual flow of modules with branches and loops |
| How it charges | Tasks — roughly each action that does something | Operations — each module run, including routers, filters and iterations |
| Free tier (at the time of writing) | Around 100 tasks a month, simple two-step automations | Around 1,000 operations a month, full features |
| Cost per unit of work on paid plans | Higher | Several times lower |
| App library | Largest by far (thousands of apps) | Large, with a generic HTTP module for anything else |
| Branching, loops, aggregation | Paths and loops exist; limited on cheaper plans | Native routers, iterators, aggregators |
| Webhooks and raw HTTP calls | Available on paid plans | Built in on every plan |
| Error handling | Auto-replay on higher plans; basic otherwise | Error handlers per module (retry, ignore, rollback) |
| Polling interval | 1–15 minutes by plan (instant for webhook triggers) | As low as 1 minute on paid plans (instant for webhooks) |
| Learning curve | An afternoon | A few evenings |
| Best for | Owners, simple reliable automations, obscure apps | Multi-step logic, data transformation, volume, agencies |
How the pricing really works
Zapier counts tasks. A Zap that takes a form entry, adds a CRM contact and posts to Slack uses two tasks per run (the trigger is free). It is simple to predict, and expensive at volume: the plans step up quickly, and multi-step Zaps burn through them.
Make counts operations. The same flow is three operations (trigger, CRM, Slack) — more units, but each is a fraction of the price, and the plans include tens of thousands. The catch is that everything counts: a router, a filter that stops the flow, and every iteration of a loop over a hundred rows. Complex scenarios can surprise you, in the other direction.
For a small business running a handful of automations at a few hundred runs a month, the difference is a few pounds and irrelevant. For a business or agency running dozens at thousands of runs, Make is meaningfully cheaper — and that is where most people switch.
Where Zapier wins
- Ease. An owner with no technical background can build “new form entry → CRM → email me” in fifteen minutes and trust it.
- App coverage. If a niche tool has an integration anywhere, it is on Zapier. Make covers the mainstream well and relies on its HTTP module for the rest, which needs API comfort.
- Polish. Setup screens, field mapping, testing and the history view are the most refined in the category.
- Tables, interfaces and AI steps for lightweight apps and agent-style automations without another tool.
Where Make wins
- Price at volume. Covered above; it is the reason most switches happen.
- Logic. Routers with multiple branches, iterators over arrays, aggregators to combine results, error handlers per module. A flow that would be three Zaps and a spreadsheet is one Make scenario.
- Data handling. Built-in functions for text, dates, arrays and JSON; a real HTTP module; the ability to see and edit every payload.
- Seeing the whole thing. The canvas shows what runs and what happened at each step. Debugging is far easier once you are used to it.
Where both lose to your CRM
The third option, and the one I use most for local businesses: do it inside the CRM. GoHighLevel workflows accept inbound webhooks from website forms, send outbound webhooks, call external APIs with premium actions, and run the SMS, email, tasks and pipeline moves natively. For “form → CRM → text the lead → notify the owner → follow up”, there is no middle tool to pay for or debug. Reach for Zapier or Make when the CRM cannot connect to the app you need, or the logic is data-heavy (syncing spreadsheets, transforming orders, chaining several services).
Decision table by scenario
| Scenario | Pick | Why |
|---|---|---|
| Owner, no developer, two or three simple automations | Zapier | Speed and confidence; cost is trivial at this scale |
| Website form → CRM → follow-up | CRM workflows | No middle tool needed |
| Order data → invoicing → accounting → Slack, with conditions | Make | Branching and data shaping in one scenario |
| Thousands of runs a month | Make (or n8n) | Operations pricing |
| Obscure SaaS with no API knowledge in-house | Zapier | Most likely to have the integration |
| Agency running automations for many clients | Make or n8n | Cost, templates, control |
| AI steps (summarise, classify, draft) inside flows | Either; Make for volume | Both integrate the main AI providers; per-run cost favours Make |
Reliability, honestly
Both are reliable; both have outages; both silently fail when an app changes its API or an authentication token expires. The difference is what happens next. Make’s per-module error handling lets you retry or route around a failure automatically. Zapier’s auto-replay on higher plans covers the common case. On either, the automation you cannot afford to lose needs a monitoring alert (a run that has not happened in X hours) and a monthly “reconnect the apps” check. I have seen more revenue lost to an expired Google token than to any platform outage.
A word on n8n
n8n is the developer’s choice: open source, self-hosted on a small server for a flat monthly cost regardless of runs, with JavaScript steps and strong AI nodes. For agencies and technical teams it is the cheapest at scale and the most flexible; for an owner without a developer it is a server to look after. I run it for my own automations and recommend it to agencies; I rarely recommend it to a client who has to maintain it themselves.
Switching from one to the other
- List every automation, its trigger, its steps and how often it runs. Half will turn out to be unused.
- Rebuild the ones that matter in the new tool, one at a time, and run both in parallel for a week with a test record.
- Move webhook URLs (forms, CRM) to the new tool’s endpoints last, then switch the old automation off — not delete, for a month.
- Set up the monitoring alert in the new tool before you consider it done.
My default recommendation: CRM-native first; Zapier for the non-technical owner with a few simple flows; Make once there are more than a handful of automations or any real logic; n8n for agencies and developers. The automation matters far more than the tool — the what-to-automate-first list is the better place to start than any pricing page.
Further reading: Zapier pricing · Make pricing · n8n.
FAQ
Is Make cheaper than Zapier?
Per unit of work, usually by a wide margin — Make charges per operation and its plans include far more of them than Zapier’s task-based plans at similar prices. The gap narrows for very simple two-step automations and widens for multi-step ones.
Which is easier to learn, Zapier or Make?
Zapier. A linear list of steps with plain-language setup is something a non-technical owner can build in an afternoon. Make’s visual canvas is more powerful and takes longer to think in; expect a few evenings before it feels natural.
Do I need Zapier or Make if I use GoHighLevel?
Often not. GoHighLevel workflows accept inbound webhooks and can send outbound webhooks and premium actions, which covers most form, CRM and notification automations. Reach for Zapier or Make when you need an app GoHighLevel does not connect to, or logic its workflows cannot express.
What about n8n?
n8n is the developer’s option: open source, self-hostable for a flat server cost, with code steps and AI nodes. It is the cheapest at volume and the most work to run. Good for agencies and technical teams; too much for most owners.
Want the automations designed and built, on whichever tool fits, with monitoring so they stay working? See the automation and integration services — I will tell you if your CRM can do it without any of them.
