n8n vs Make: Which Fits Your Business Workflow?

Your enquiry form works. Your CRM works. The awkward part is everything between them: checking the details, finding an existing contact, deciding who should respond and making sure a retry does not create the same lead twice.

Both n8n and Make can sit in that gap. The better choice depends on the workflow, the way usage accumulates and who will fix it when an API changes.

Our recommendation: start by evaluating Make for a workflow that an operations team will own, especially when most of the work connects existing business tools. Evaluate n8n when custom logic or control over deployment matters and someone can maintain it. n8n Cloud is also an option; choosing n8n does not require running your own server.

This is a comparison based on vendor documentation checked on 24 September 2026. The enquiry workflow and usage figures below are illustrative, not a hands-on performance benchmark or a client case study.

First, decide who will own the workflow

Imagine your sales coordinator needs to change the routing rule next month. Can they find the right branch, test the change and put it live safely? If the person who built the automation is away, can somebody else recover a failed enquiry?

Those questions matter more than whether a tool offers another hundred integrations. Our starting shortlist would look like this:

This is a selection framework, not a claim that Make cannot handle technical work or that n8n is unsuitable for business users. Give the intended maintainer the same small task in each shortlisted tool. Their ability to explain and change it is useful evidence.

Compare the same business job

For a fair evaluation, use one specification: a website enquiry should reach the right person in the CRM exactly once, with enough context for them to act.

Our model workflow accepts an event ID, email address, company name and message. It then:

1. Validates the required fields and normalises the email address.
2. Checks whether the event has already been processed.
3. Looks up an existing CRM contact.
4. Optionally classifies the message into an approved category.
5. Creates or updates the appropriate CRM record and assigns an owner.
6. Records the outcome, or sends an exception to a person.

The event ID identifies the submission. The email address helps identify the contact. They serve different purposes: a returning prospect may legitimately send a second enquiry using the same address.

Keep the first version narrow. An AI classifier might help distinguish a support request from a sales enquiry, but it does not need permission to invent a new CRM stage, promise a price or send an unsupervised reply. If the message is unclear, route it for review.

For other candidate processes, see our AI automation examples. Choose a process with a measurable outcome before adding more tools.

n8n executions and Make credits are different units

n8n's paid plans use workflow executions as a central billing unit: a workflow run counts as an execution rather than charging separately for every step. Its listed Starter price at the time of checking is €20 per month, billed annually, for 2,500 executions. Check the current allowance and plan conditions on the n8n pricing page.

Make uses credits. Standard module actions commonly consume one credit, while some features, including certain AI usage, have different rules. Data passing through multiple modules can therefore accumulate multiple charges. The Make credit documentation explains the model; its operations guide explains how module runs and data bundles relate.

That does not make one platform universally cheaper. A short workflow, a long workflow and a scheduled check with no useful result can produce very different comparisons. Included allowances, billing periods, separate AI-provider charges and operating effort also affect the bill.

A worked usage example

Suppose a workflow receives 2,000 enquiries a month. For this calculation only, assume each enquiry starts one n8n execution, or causes five standard one-credit actions in Make. The five actions are a modelling input, not a measured implementation of the six-stage specification above.

The arithmetic is simple: enquiries × runs per enquiry, then × billable actions where applicable. The hard part is measuring those inputs correctly.

The second row deliberately models complete replays. It is not a prediction of either tool's normal retry behaviour. A retry that resumes part-way through a process can consume less work. Polling, branching, batches, helper workflows and AI calls can change the result again.

Use the accompanying usage model to record your assumptions. Before choosing a subscription, run a representative sample and compare the actual usage counter with the number of successfully processed enquiries. A cheap run that quietly loses leads is not a saving.

Test failures before judging the happy path

A successful demo shows that the systems can talk. It does not establish that the automation can recover safely.

Consider a CRM request that times out. The CRM may have saved the record before the connection failed. Repeating the create request blindly can produce a duplicate. Your recovery design needs a stable reference or a way to establish whether the intended write already happened.

Make documents automatic retries for certain incomplete executions, subject to its error-handling setup. Its recovery mechanism can resume at the failing module. That is useful functionality, but you still need to configure it and decide whether repeating that particular action is safe. See Make's retry documentation.

For either platform, evaluate the following cases. These are proposed acceptance tests, not results we claim to have obtained:

The downloadable acceptance checklist includes a place to record observed results. Run it against a test environment with synthetic enquiries, then reconcile input event IDs against completed outcomes. A green execution alone is weaker evidence than that reconciliation.

Self-hosting changes the responsibility, not just the invoice

If you shortlist self-hosted n8n, include its operation in the decision. Somebody must update it, manage secrets, restrict access, monitor failures and demonstrate that backups can actually be restored.

n8n's own security documentation assigns responsibilities such as transport protection and encryption at rest to self-hosters. Installing the software does not complete those tasks.

For a business evaluation, name an owner and ask for a short recovery exercise: restore a test instance, reconnect its test credentials and replay a known input. Record what was required. Do not put production customer data into that exercise unnecessarily.

Cloud hosting removes part of the infrastructure work. It does not decide who gets an alert when an enquiry cannot be processed, how long message bodies stay in execution history or which colleagues may edit the workflow. Resolve those questions for both shortlisted platforms.

Also check where connected services send data. Hosting the automation yourself does not keep data on your server if the workflow forwards it to an external CRM or model provider.

When we would choose each option

We would start with Make when the process mainly connects existing business applications and the intended owner can maintain the resulting scenario. Test the actual connector actions you need: a logo in an integration directory does not establish that a particular endpoint, field or authentication method is supported.

We would start with n8n Cloud when a technical owner wants n8n's workflow approach but there is no business reason to maintain its underlying infrastructure. Check the real workload against the selected plan, including concurrency and access requirements.

We would consider self-hosted n8n when operating the deployment is a deliberate requirement and the team can support it. Include infrastructure and maintenance effort in the comparison. Check the licence and any paid features required for your intended use before treating software cost as zero.

If both candidates pass the technical tests, let maintainability decide. Ask the future owner to change a routing rule, locate one failed submission and explain how to recover it. A workflow that only its original builder understands will be expensive to hand over.

What to put in the handover

Keep the handover short enough that somebody will use it. It should identify the trigger, required inputs, business owner, credential owner, failure destination and recovery procedure. Include one example of a correct outcome and one example of an exception.

Add a record of the tested configuration and the usage you observed. Keep credentials out of that document. If a workflow depends on a particular CRM field or API permission, make the dependency explicit so that a later change is easier to diagnose.

Agree how you will judge it after launch: successful enquiries processed, exceptions awaiting attention, duplicate outcomes and cost per successful enquiry. Review a sample of the actual CRM records as well as the automation logs.

Choose with a small, complete evaluation

You do not need to automate the whole business to make this decision. Pick one workflow, define its correct outcome, run the failure cases and give it to the person who will maintain it. Then compare real usage and operating effort.

If you want help turning that process into a reliable integration, explore Pixelfield's AI workflow automation service. Bring the current process, the systems involved and an example of an exception. Those are more useful starting points than a preferred tool name.