Zapier or Make: which fits your small business automations?

Zapier and Make both connect your apps so work moves on its own: a form fills the CRM, a payment updates a spreadsheet, a booking posts to Slack. They solve the same problem in different shapes, and they count usage differently, which matters more for the monthly bill than the headline plan price.

How they differ in shape

Zapier builds Zaps: a trigger followed by a list of actions, with Paths when you need branches. It reads like a checklist, so the person who owns the process can usually build and fix it. Make builds scenarios on a visual canvas, with routers for branches, iterators to loop over lists and aggregators to combine results. That suits workflows with many conditions or a lot of data reshaping.

How each one counts usage

Zapier bills by tasks. A task is a successful action; trigger steps, Filter and Paths steps and built-in apps such as Formatter, Delay and Looping don't count, and testing in the editor is free. Make bills by credits, which replaced operations in August 2025. For standard modules, one module run uses one credit, and that includes runs that only check for new data. A scenario that polls every few minutes uses credits even on quiet days.

A worked example makes the difference clear. A website form creates a contact in your CRM, adds a deal and posts a message to Slack. In Zapier that is three tasks per submission, because the trigger is free. In Make it is four credits per submission, one for the webhook that receives the form and one for each of the three actions. At low volume the gap hardly matters; at thousands of runs a month it does.

Count before you choose. List each workflow, how often it runs and how many steps it has, then estimate a typical month of tasks in Zapier and credits in Make.

When we pick Zapier

• The team already uses it and wants to keep owning the automations themselves.
• The workflows are mostly linear: a trigger, a few actions and perhaps one branch.
• You want to build and test quickly: the Zap editor tests each step as you go, and tests don't use tasks.

When we pick Make

• The workflow branches several ways or reshapes data, such as splitting an order into line items.
• You want to see the whole flow on one canvas, including what happens when a step fails: Make's error handlers can retry, skip or stop a run.
• The scenario is triggered instantly by a webhook, so it doesn't spend credits polling for new data.

Before you commit to either, check every app you rely on in both directories, including which triggers and actions each integration supports. A missing trigger can force a workaround that changes the cost.

What matters more than the tool

An automation is only as good as its failure handling. Name each workflow clearly, send errors to a person who will act on them, keep credentials in the platform's connections rather than pasted into steps, and write down what each workflow does. The lead flow in every lead, handled automatically runs in Make, starts from a webhook and alerts the team when a step fails.

Where to start

Write down the three tasks your team copies and pastes most often, with how often each happens. That list decides the tool and the budget. If you would like it built and documented properly, our automation and integrations service covers Make, Zapier, HubSpot, GoHighLevel, Airtable and Stripe.