Make vs Zapier: I Built the Same Workflow in Both

If you've been comparing Make vs Zapier, you may have read a dozen write-ups that line up feature tables and call it a day. I wanted to go deeper and find out which one gets a branching workflow live, and how much work it takes to get there.

So I built the same tool in both. Well, I tried to (more on that later). This tool was a client-intake capture (name, email, budget, message) with an automation that routes leads by budget. High-value inquiries go down one path and others go down another. Each would trigger a notification email.

I ran Make on a free plan and Zapier on a paid trial that automatically comes with a new account. I timed and screenshotted the whole thing. By the end of this, you'll know which gets a branch firing, what each one costs once you hit the paywall, and which is the better pick for the kind of automation you're trying to build.

Make vs Zapier: What's the Difference?

The difference is how much of the build you do yourself. Zapier will generate most of the pieces for you from a prompt. Make hands you the parts and expects you to fit them together, which costs less to run and more to set up.

Make is a visual, module-based automation platform. You wire steps together on a canvas, add a Router to split the flow, and pay per operation. This keeps high-volume automations cheaper than most alternatives.

Zapier is the better-connected and more linear of the two, with a catalog it puts at more than 9,000 apps. It includes an AI Copilot that builds a form, a table, and the automation itself from a plain-English description.

Choose Make if: you want granular visual control and per-route logic, you're running at enough volume for per-operation pricing to matter, and you don't mind manually building automations (including an outside form).

Choose Zapier if: you want the fastest route to a live automation, you'd prefer an AI Copilot on hand to help you with the setup, and you'd like the capture and the logic handled without a second tool.

How I Tested Zapier

I went to Zapier first, as it’s the one I’d had some experience with. Here, I decided to build a workflow that would be familiar to a real service business. The idea is that it catches inbound leads from a form before routing them by budget so that the larger ones get handled differently than the rest.

I built it largely through Copilot, to see how much of the work the AI could carry.

The branch was the real test. A straight two-app connection is trivial. The moment you add a condition, something like "if the budget's this, then do that," two things happen at once: you hit the paywall, and you learn whether Zapier's AI built something that works or just something that looks done.

Zapier: My Build, Features, and Pricing

I built the form through Zapier's Interfaces. I searched "interfaces," clicked "Get started with Interfaces," and landed on the Forms page. From there I hit Create, which took me to the "Start building your form" screen, where Copilot was waiting.

I gave it the prompt and clicked Generate form. It built the fields, then offered to create a connected Zapier Table to store submissions and asked whether I wanted it to build the Zap too.

Here’s the exact prompt I gave it:

"Set up a Zap triggered by a new form submission. Add a Paths step that branches on the Budget field: one path for '$5k+', one path for everything else. On each path, send a different notification email."

It made an impressive start. Within a couple of minutes, I had a Client Intake form, a table, and a confirmation screen, none of which I'd built by hand. I next asked it to build the automation.

Copilot built the two paths, but it also added a second, empty Paths step inside one branch, a nested split with no condition filled in. That empty condition was the first thing blocking the Zap from publishing.

Copilot repeatedly announced the Zap was "fully configured and ready" and even "production-ready." When I hovered over Zapier's grayed-out Publish button, it said "fix your Zap to publish."

Copilot said it was a "known Zapier quirk" with path validation and told me the web UI's "more lenient" Publish button would let it through. That didn’t work either.

The real problems, in order, were the empty nested path, then a missing fallback filter on the second path, and finally, after all of that was cleared, a completely different blocker Copilot failed to find: I hadn't confirmed my account email address, so the Zap couldn't go live at all.

The build took about 50 minutes, with much of that spent trying to get Copilot to resolve the publishing issue it kept insisting was fixed. I counted at least six separate times Copilot told me the Zap was ready when it clearly wasn’t.

When I finally got it published, a test submission sent an email down the correct path, so the underlying logic worked. Worth knowing: on the trial I was running, test emails only reached my own account until the Zap went live.

Zapier’s automation engine is still excellent, but don’t take Copilot's status reports as gospel. It doesn’t always align with what the Publish button and Zap status panel tell you.

Key Features

• The Copilot workflow builder: it builds a form, table, and Zap from plain English. It’s fast but it also over-builds and misreports its own state.
• Paths (conditional branching): routes a workflow down different branches based on field values. This is the feature that makes Zapier more than a straight-line connector, and it works cleanly once configured correctly.
• Built-in forms and tables: they capture and store submissions inside Zapier itself, so a lead-capture workflow runs end to end without introducing a third-party form.

Pros and Cons

Pros:

• The branching logic handles decisions once it's set up, which is exactly what a budget-routing intake flow needs.
• Copilot makes a fast start, building a form, table, and Zap in minutes.
• Nothing lives outside Zapier, so there's nothing extra to keep connected.

Cons:

• Copilot repeatedly declared a broken, unpublishable Zap "ready," and took too long to find the real blockers.
• The most impressive pieces (multi-step Zaps, Paths) sit behind the paid tiers, and even there the email action is capped and test-gated.
• The blocker that finally stopped publishing had nothing to do with the Zap: an unconfirmed account email, which Copilot never spotted across roughly 50 minutes of debugging.

Pricing

Zapier's pricing starts with a free plan that gives you 100 tasks a month and caps Zaps at two steps, which rules out a budget branch before you start. Professional, from $29.99 a month ($19.99 billed annually), unlocks the multi-step workflows and Paths this build depends on. I ran this on the free 14-day Professional trial, which a new account starts you on whether you ask for it or not.

Zapier Reviews: What Real Users Are Saying

Where users agree with me

“I didn’t have to spend weeks designing complicated workflows.” Yauhen D. (G2)

That was my experience right up until I added the branch. Everything before the condition went exactly as advertised.

Where they don't

“Zapier is not a trusted service provider.” Roberto (Trustpilot)

I only half agree. The engine did work once it was live. It was Copilot's read on its own status that cost me the afternoon.

Want the full picture of what users are saying? Read our Zapier Review for a closer look at what real users actually ran into beyond these two takes.

How I Tested Make

Next came Make, and I gave it the identical job. Running one build in both platforms was the only way to see where they actually differ.

While I had limited experience with Zapier, as well as some with n8n and AirOps, I was brand new to Make. So I created an account on the free plan, where I was disappointed not to see a prompt builder, or, at least, a Copilot.

Due to inexperience, I leaned on Claude heavily for this one. With Claude by my side, I created my first Scenario (Make’s term for automation) and got to work.

Make: My Build, Features, and Pricing

I was again surprised, as there was no form builder, like there was with Zapier. Capture came built in there. Make leaves it to you, so I had to bolt a form onto the front of it. I built one in Tally with the four fields, budget set as a dropdown of "Below $5,000" and "$5,000 and over."

To get the answers across, I created a custom webhook in Make before returning to Tally and adding the webhook link to its integrations. From there, it looked like things were coming together. There was the webhook, then a Router to split the flow, then two Gmail "Send an email" modules, one per route, with a filter on each connecting line.

Then the budget filter didn’t match. Tally sent a nested array carrying an option ID, which explains why a filter comparing against readable text didn’t line up. Then it got worse. When I rebuilt the webhook mid-session, its module number changed, and the filter's mapping kept pointing at a module that no longer existed, which gave me a "references non-existing module" error.

After some growing frustration, I deleted the webhook and rebuilt the whole trigger with Make's native Tally module, connected over OAuth. I hoped that its cleaner named fields would settle the matching. The pills read better, but the budget answer still arrived as an array, addressable only as Fields.Budget[1]. The filter still didn't catch it either.

For the record, that array address is what the filter needed on the left of the comparison, with the readable label on the right. I couldn't get that mapping to stick inside the session, and I'm not going to claim it can't be done. What I can say is that a first-time Make user has to work this out to route a dropdown, and nothing in the interface tells you that's the problem.

The final run went the way the whole Make session had gone. The Tally trigger completed, and both email modules reported the same thing: the bundle didn’t pass through the filter. No email made it through either route, and the session ended on a Make gateway timeout.

All in, this took one hour and 40 minutes, while burning just four credits, as I never got it to do what I intended.

For a first build of a branching intake flow, Make asked more of me than the automation was worth. Yes, its canvas is precise, its execution log is transparent about exactly which module stalled, and its pricing is the cheaper of the two.

It also made me add an external form, reconnect a fragile webhook, hand over Gmail permissions, and battle an array-indexed dropdown. After all that, it still stalled.

Key Features

• Visual scenario canvas: every step is a module on a canvas, with a Router for branching and a filter on each route line.
• Operation-based pricing: each module run costs one credit, which keeps busy, multi-step automations cheaper than task-based tools.
• App modules plus webhooks: 3,000+ native apps, each exposing its own modules, with custom webhooks and HTTP modules for anything that doesn't have one.

Pros and Cons

Pros:

• The Router and per-route filters give real branching control once they're configured correctly.
• The free plan is enough to build and run a full scenario: 1,000 credits, two scenarios, no card.
• The execution log shows precisely which module passed and which stalled, so nothing is a mystery.

Cons:

• No form of its own, so a branching intake flow needs an outside form wired in before you start.
• Dropdown answers arrive as nested arrays, so filters need array-indexing before they'll match a readable value.
• Nothing AI-shaped on the free plan, so you debug with docs and an outside chatbot.

Also read our best Make alternatives guide for what else is worth trying when the manual wiring or webhook complexity doesn't fit.

Pricing

Make's pricing begins with a free plan: 1,000 credits a month, two active scenarios, and a 15-minute run interval, no card needed. The entry paid tier, Core, starts at $12 a month billed annually and lifts that to 10,000 credits, unlimited scenarios, and a one-minute interval. The full app catalog is on the free plan too.

Want the full breakdown of what each plan actually covers? Read our Make pricing guide before you commit.

Make Reviews: What Real Users Are Saying

Where users agree with me

“Extremely frustrated with this solution.” Cristian Baitg (Trustpilot)

Where they don't

"Big canvas to see all your ideas as you build out your scenario with color coded module. Lots of integrations built in and the ability to use APIs for more advanced functions." Guy R. (G2)

That's the Make I'd have met on my tenth build. On my first I never got far enough to find out.

Make vs Zapier: At a Glance

Now you know how both builds went, here's the short version. How Make and Zapier differ at a glance:

Make vs Zapier: Feature-by-Feature Comparison

Form and Data Capture

Zapier captured and stored the intake on its own platform through its built-in forms and tables. Make didn’t capture anything on its own, so I had to add a Tally form and feed it in over a webhook. For the first step of a lead-capture flow, that was already quite a difference.

Winner: Zapier.

Integrations and App Coverage

Make advertises 3,000+ apps on its own pricing page. Zapier claims more than 9,000 for itself and puts Make at "less than 2,000," a figure well below Make's own count, so the two vendors don't even agree on Make's number. Zapier is ahead on raw catalog size either way. For this build the gap was moot, since Gmail and a plain webhook exist on both. The honest test is whether the two apps you actually need are both on the list. The headline total barely matters.

Winner: Zapier, on anyone's count.

Branching and Conditional Logic

This was the point of the whole test. Make's Router and filters are available on the free plan and give fine-grained control. However, the dropdown answer arriving as an array meant the filter needed array-indexing before it would match. During my entire test, it never did. Zapier's Paths are on the paid plan, yet Copilot built them and they read the budget value as plain text.

Winner: Zapier for this task, on readable values and less setup. Make has the edge on flexibility and cost once a filter is dialed in.

AI Build Assistance

Zapier's Copilot built a form, a table, and the Zap from a prompt. While it over-built and misreported its own status more than once, it stayed inside the build and eventually got me to a published Zap. Make's free plan gave me no assistant at all, so I ran the whole session with Claude open in a second tab. Make does sell AI Agents on its paid tiers, currently in beta, but I never got to use them, so this round is about what a free-plan Make user actually gets.

Winner: Zapier, for putting help inside the build. Untested on Make's paid tiers.

Ease of Use

I came to this new to Make and with a little Zapier behind me, so treat that as the bias it is. Even allowing for it, the first ten minutes were not close. Zapier had me to a working form with submissions landing in a table. On Make I was picking modules off a list and looking up what each one wanted.

Make's visual layout is the better window into what a scenario is actually doing, once you can read it. That is a real advantage on your tenth build and no help at all on your first.

Winner: Zapier for a first build. Make once you know your way around it.

Pricing and Value at Scale

Make counts operations and Zapier counts tasks, so the units differ, but the entry price gap is plain. On annual billing, Make's Core is $12 a month for 10,000 credits and Zapier's Professional is $19.99. Check the credit and task allowances at the volume you expect before committing, because both vendors price on a slider. Zapier's task model climbs faster, and the conditional logic this comparison relies on is only on the paid tier.

Winner: Make, and not by a little. The per-unit gap widens with every run, and it widens fastest on exactly the multi-step, branching flows this comparison is about.

How to Choose Between Make and Zapier

Zapier leaned on its Copilot to carry me most of the way; Make handed me a precise canvas and left the assembling to me. For a fast, least-hassle result, Zapier wins. For control and cost at volume, I’d go with Make.

Make is Better For:

• Anyone willing to spend an evening on field mapping to earn a cheaper long-term bill.
• Flows fed by dropdowns or multi-selects, which is where Make's array handling will find you.
• Builds you expect to run thousands of times a month, where per-operation pricing pays back the setup.

Zapier is Better For:

• A first branching workflow you need live today.
• Anyone who'd rather not run a second tool in front of their automation.
• People who'd rather debug with an assistant in the window than a docs tab open.

My Verdict

After running the same branching intake flow through both, my Make vs Zapier answer comes down to one result: Zapier got there and Make didn't. That's one build, by someone new to Make, and the blocker was a field-mapping quirk rather than a missing feature. The help that was available inside each platform matters here. Zapier is the friendlier pick for most people, and clearly so for anyone who wants an assistant carrying part of the load.

Make rewards patience with a cheaper, more controllable platform, and its branching is free. For a newbie to the platform like me, however, a first build turned into more of a project than the task called for. Pick Zapier for speed and hand-holding. Pick Make for control and cost at scale. Neither is the "one-minute build" their respective marketing implies.

One more thing worth saying: if neither of these fits, n8n sits between them, with self-hosting and a visual build closer to Make's. I've used it, though not for this build, so it stayed out of the head-to-head.

Building the App Instead of Wiring Apps Together

Both Make and Zapier connect tools you already use. If what you actually need is the tool itself, that's a different job.

Emergent builds full apps from a plain-English prompt, and its MCP connector lets you build one straight from Claude or ChatGPT. You can see what it costs on the Emergent pricing page, and the free tier is enough to build your first one.