Zapier vs Make vs n8n for Agencies

Zapier, Make and n8n all connect the same tools to each other. Compare them on feature lists and you will read three catalogues of integrations that mostly overlap, then pick whichever one had the clearer landing page. That comparison is not wrong. It is just answering a question that stops mattering about a week after you buy.

The questions that are still live in month nine are different ones. What does the bill do when your client list doubles. Who on your team can open the thing and repair it when a connected tool changes shape. How do you find out that last night’s client report did not send. And where does client data sit while the workflow is running. I run operations, project management and AI automation for agencies, and I build primarily with n8n. That is the bias, declared before the first heading rather than buried in the verdict. I am going to make the honest case for the other two anyway, because for a good number of agencies my default is the wrong answer.

One deliberate omission before we start. I am not quoting prices, plan names or included volumes for any of the three. Those move, and an article that quotes them is wrong by the time you read it. What changes slowly is the shape of the pricing, and the shape is what interacts with how an agency grows.

Why do agencies pick the wrong automation platform?

Because they choose at the wrong altitude. A feature comparison measures what the tool can do on the day you sign up. An agency lives with the choice for years, across a client list that changes, with a team that turns over. The three things that decide whether you regret it are economics, maintenance, and what you can see when something breaks. None of the three show up in a feature table.

There is a prior question, and I would rather you answered it first: whether the process you are about to automate is stable enough to be worth encoding. Automating an undefined process produces confident output that is wrong in ways nobody catches until a client does. That is the whole of my automation consulting position, and it applies identically to all three platforms. Tool choice is the second decision, not the first.

What does each pricing model do when your client count doubles?

This is where the three genuinely differ, and it has nothing to do with which looks cheaper on a comparison page. They bill on different units, and the unit decides the shape of the curve. Zapier bills per task, Make bills per operation, and n8n bills per workflow execution on its cloud with self-hosting available as an alternative. Confirm the current terms yourself before committing, because these do move.

• Per task. Each step that runs is billable. Simple to forecast, and you pay nothing for infrastructure. It also means every client you win adds their share of every workflow you run, so the automation bill tracks the client list in lockstep.
• Per operation. A similar multiplication on a finer unit. Each module execution counts, so a workflow that loops over a list of clients or line items consumes far more than its step count suggests. It rewards designs that batch and punishes iteration-heavy ones, which is a design constraint rather than a billing detail.
• Per workflow execution. One run counts once, whatever number of steps sits inside it. Complexity stops being the thing you pay for. A forty-step workflow and a four-step workflow cost the same to run.
• Self-hosted. You pay for a server and for the person who keeps it patched and backed up. Volume becomes effectively free. Maintenance becomes the cost, and it is a real one.

Agency automation is high volume by nature. Every client, every reporting cycle, every onboarding step, every status rollup. That is exactly the shape that meets per-unit pricing badly, because your consumption grows at the same rate as the business. On workflow-based or self-hosted pricing, a good automation gets cheaper per client as you add clients. That is the strongest structural argument for n8n and I want it on the record plainly.

Now the honest counter. For an agency running a handful of low-volume workflows, hosted per-task pricing is very often cheaper all-in than a server plus the hours somebody spends looking after it. Anyone who tells you self-hosting is free is not counting their own time. The break-even is real, and it arrives later than enthusiasts admit.

Who on your team can fix it on a Tuesday afternoon?

This is the question I would put above all the others, and it is the one that most often decides against my own preference.

The three sit at different maintenance bars. A per-task platform built for non-technical users can be repaired by an account manager who has never written a line of anything, and that is a genuine advantage rather than a consolation prize. A visual operation-based builder sits in the middle: anyone can read the canvas, but keeping it healthy needs someone comfortable with data shapes, branching, and what each module actually passed to the next one. A self-hostable, code-friendly platform sits highest, because flexible means somebody has to understand it and self-hosted means somebody has to update it.

So the rule is not to buy the most capable platform. It is to buy the most capable platform your team can maintain without you. n8n is what I build with daily and it is still the wrong choice for an agency with no technical owner and no intention of funding one. I would rather say that on a first call than hand over a build that quietly rots in four months.

Whichever way you go, ask the second question too: who is the backup. One person who understands the automations and no documentation is the same risk on all three. The lower the maintenance bar, the more people can be that backup.

What happens when a workflow fails at two in the morning?

All three give you run history, retries and some form of error notification. The feature is not the differentiator. What you build on top of it is.

The dangerous failure in agency work is not the workflow that stops. It is the one that finishes, reports success, and produces a client report with one section silently empty. No platform catches that for you. You catch it by having the workflow state how many records it wrote and alerting a named person when that count drops, so an empty result looks like a fault rather than a quiet week. I have written up how those checkpoints sit inside specific builds in the six n8n workflow patterns I keep building for agencies, and the design principle holds on any of the three.

One structural difference does favour the hosted options. When you self-host, the instance is your responsibility, and if it goes down, the thing that would have alerted you is down too. You need an external check watching the instance itself. On a hosted platform, someone else holds that pager.

Where does client data sit while the workflow runs?

For most agency work a hosted platform is a perfectly good answer, and the vendor’s published terms give you something concrete to hand a client who asks. Nobody should frighten you out of that.

It becomes a live question in narrower cases: client contracts in regulated industries, enterprise procurement reviews, and agreements that name where data may be processed. When a workflow touches reporting data, contracts, or anything under an NDA, the answer that it passes through a third-party automation vendor can cost you a review cycle or a clause negotiation. Self-hosting removes the question by never asking a third party to hold the data.

What self-hosting does not do is make you secure. An instance nobody patches is worse than a vendor’s platform, and running your own infrastructure means inheriting the whole job rather than the interesting part of it.

So which one should your agency actually use?

Here is the verdict, with the bias restated. There is no ranking, only a match between the pricing and maintenance profile of a platform and the agency standing in front of it.

Choose Zapier when

• Nobody on the team is technical and nobody is going to be hired.
• The workflows are few and simple, mostly one service handing a record to another.
• You want whoever inherits the account to be able to repair it without calling a consultant.

Choose Make when

• Someone on the team enjoys logic, branching and the shape of data.
• The work needs transformation and conditional routing rather than straight handoffs.
• You want more control than a per-task tool gives without taking on a server.

Choose n8n when

• The workflows are many, high volume, and multiplied across every client you have.
• You have a technical owner, or a retainer that covers one.
• Data residency is a question your client contracts actually ask.
• You want the cost of running a workflow to stop tracking its complexity.

If that last list describes you and you want the workflows built, documented and handed over so your own team can own them afterwards, that is the n8n consulting engagement. If it does not describe you, one of the other two is the better buy, and I would say so on the call rather than sell you the tool I prefer.

What would I settle before picking any of them?

Which platform to use is a smaller question than which parts of your delivery should run without a person in them, and answering the two in the wrong order is how agencies end up with six workflows nobody asked for on a plan they resent. The Agency Ops Audit takes the prior question first: $1,500 fixed, two weeks, a written 90-day roadmap of what to automate, in what order, and what to leave alone, then a 60-minute readout call. My basis for that roadmap is twelve years running delivery operations for marketing agencies and 92 completed engagements, working inside ClickUp, Asana, Monday.com, Airtable and Notion. Some of what comes back on the roadmap will not need n8n at all, and I would rather put that in writing than sell you a platform.