Zapier vs Make: Which One in 2026?

Zapier and Make both connect SaaS apps without a custom integration project, and they both withhold a list price you can print, so the useful question is which model matches the automations you already run: a linear Zap with guardrails, or a visual scenario with routers and error paths.

TL;DR: Pick Zapier when the job is a governed linear automation across a wide app catalog, with IT-set boundaries and an audit trail a CISO can read. Pick Make when the job is a visual, multi-path scenario that a RevOps builder can see on one canvas. They are close on the "connect two apps" job and not close on branching, ownership, and how a failed run is debugged. Both are quote only.

How we evaluated

We scored six criteria in the open: catalog breadth, scenario shape (linear versus branched), governance, who can safely build, failure handling, and cutover labor. Price is not a criterion because both vendors are quote only. A figure next to either name would be invented.

We fetched public product surfaces. Zapier's homepage states 9,000-plus apps and 3 million-plus businesses, plus SOC 2 Type II, SOC 3, GDPR, and CCPA on the enterprise security block. Make's homepage did not return a stable page on the fetch, so several Make cells read "not published" rather than a guess.

Industry tables use cloud-software benchmarks and labor statistics. They describe the SaaS operating environment, not a Zapier task fee or a Make operations fee.

US Tech Automations appears only on two concrete steps: logging a paid-conversion event from billing into CRM without a double write, and parking a failed scenario so a human reviews the payload before a retry. Those steps sit after you pick a tool; they are not a third product on this page.

Same-industry notes: Stripe to Salesforce, Yotpo vs Stamped, and trial-to-paid conversion.

The six criteria that decide this

Catalog: how many apps can a builder reach without a custom connector. Zapier publishes 9,000-plus. Make's public count is not published on the fetch we ran.

Scenario shape: Zapier is a Zap: trigger, then steps, with paths and filters as add-ons to a linear spine. Make is a scenario: a canvas of modules, routers, and error handlers that a builder can see at once. If your automation is "when X, do Y," either works. If it is "when X, do Y or Z or wait, then merge," Make's canvas is the native shape.

Governance: Zapier's public enterprise block describes action restrictions, managed connections, domain restrictions, workspaces, SCIM, log streaming, and immutable audit records. Make's governance surface is not published on the fetch. If your CISO asks "what ran last night," score the vendor that can answer from a log you already have.

Who builds: Zapier is built so a non-engineer can ship a Zap inside IT boundaries. Make is built so a power user can see the graph. A SaaS company with one RevOps person and no platform team will feel the difference in week one.

Failure handling: Linear Zaps fail at a step and retry or halt. Visual scenarios can isolate an error path per module. Ask each vendor, in the quote, whether a partial success still bills, and how a replay works.

Cutover: export format, historical run retention, and whether connections can be re-authorized without rebuilding every step. This is the month of labor, not a line on a marketing page.

Score those six on paper before you look at a demo. Demos make both products look like "it connects." The six criteria are where they split.

A practical scoring pass takes an hour. Pick the ten flows that already run (or that you intend to run in the next quarter). Mark each as linear or branched. Mark each as money, access, or message. Mark who is allowed to edit it. The product that wins the most money-and-access flows on shape and ownership is the product you quote. Catalog size is a tie-break, not a starting score. A 9,000-app catalog does not help a seven-step branch that nobody can see.

If more than half of those ten flows are branched, Make is the default to quote, and Zapier has to win on governance in writing. If more than half are linear and IT will own the connections, Zapier is the default to quote, and Make has to win on a canvas the growth lead will actually use. Write that default down before the first demo so the demo cannot reverse it with a happy-path click-through.

Who Zapier is for

Zapier is for a SaaS company that wants one control plane for automations and, increasingly, for AI actions across the same app connections. The public page describes a governed layer for assistants, an SDK for custom AI apps, bring-your-own-model routing, and governance that travels when the model changes.

It fits a team that already has many thin automations: new trial to CRM, paid invoice to provisioning, churn event to a channel. It also fits an IT team that will not allow personal accounts to connect to production systems.

It is a weaker fit when the automation is a dense graph with several routers and a merge. You can build that as nested Zaps. You will not see it as one picture.

Ask Zapier, in the quote, for the billable unit (task, step, or platform SKU), whether AI actions bill on a separate meter, how many Zaps and workspaces sit on the contract, and what SSO/SCIM costs as a named line.

Who Make is for

Make is for a SaaS company whose builders think in diagrams. The product is a visual scenario builder: modules on a canvas, routers for branches, and error handlers next to the module that can fail.

It fits RevOps and growth teams that iterate on a multi-step flow (trial started, scoring, routing, enrichment, notify, wait, then write the result) and need to see the whole path without opening five Zaps.

It is a weaker fit when the requirement is a CISO-readable control plane with action-level restrictions and log streaming described in public docs. Until Make puts that surface on a page we can fetch, treat governance as a quote question, not a scored yes.

Ask Make, in the quote, for the billable unit (operations), whether a router that does not fire still counts, how many scenarios and organizations are included, SSO, and the export format for scenarios you will need if you leave.

Criteria scorecard

Price cells are quote only. Catalog and customer-scale figures are vendor-stated on Zapier's homepage, fetched 2 Sep 2026. Make cells that we could not source read "not published".

That is the only product table on this page. Do not add a third automation vendor to it.

SaaS operating context

The reason this choice is load-bearing in 2026 is not the editor. It is that SaaS growth has slowed, conversion is thin, and developer hours are expensive. An automation that double-writes a paid event, or that nobody can debug, shows up in those numbers.

Source: ChartMogul reports index, extracted 2 Sep 2026. Industry research, not Zapier or Make prices.

Median SaaS conversion rate is 8%. according to ChartMogul, the median conversion rate across 200 products is 8 percent, credit-card trials convert 5x higher, and the median software company fell from 65 percent growth to 28 percent in a year.

Median growth decayed from 65% to 28%. according to ChartMogul, over 2,500 SaaS companies feed the broader benchmark sample. A Zap or a scenario that silently drops a trial-to-paid write is a conversion problem, not an IT preference.

Source: Bessemer Venture Partners, Cloud 100 Benchmarks Report 2025. Cohort figures, not product prices.

according to Bessemer Venture Partners, the average 2025 Cloud 100 company reached $100 million ARR in 7.5 years, AI companies in 5.7 years, and the cohort's average revenue growth was 75 percent. Your automation layer is how a 40-person SaaS company pretends it has the operating leverage of that cohort. It is not how you become that cohort.

according to Bessemer Venture Partners, the business and professional services industry is 13 percent of U.S. GDP, a sector Bessemer describes as about 10x the size of the software industry, and Vertical AI upstarts in their portfolio were commanding about 80 percent of the ACV of traditional core vertical systems while growing about 400 percent year over year. Automation tools sit underneath that shift. They are still quote only.

Source: BLS The Economics Daily, 12 Feb 2025, and BLS Occupational Outlook Handbook. Labor figures, not vendor prices.

according to Bureau of Labor Statistics, nonfarm labor productivity increased 2.3 percent in 2024. according to Bureau of Labor Statistics, overall employment of software developers, QA analysts, and testers is projected to grow 10 percent from 2025 to 2035. Software developer jobs projected to grow 10%. Hours you spend debugging a silent Zap or an unreadable scenario are hours at that occupation's wage.

Pros and cons

Zapier

Pros: a wide published catalog (9,000-plus apps), a linear model most operators already understand, and a public governance surface (action restrictions, managed connections, SCIM, log streaming) that an IT buyer can put in a security review. The AI-control-plane story is on the homepage, which matters if your builders are already wiring assistants to the same connections.

Cons: dense, multi-path flows become nested Zaps that are hard to see. List price is quote only; the task meter is easy to misunderstand if a step retries. You still have to ask whether AI actions sit on a separate meter.

Make

Pros: the canvas is the product. Routers and error handlers sit next to the module that can fail, which is the right shape for a growth or RevOps flow with branches. Builders who think in diagrams will ship faster than they will on a linear list of steps.

Cons: the public governance and catalog numbers were not on the page we could fetch, so several scorecard cells stay "not published" until the quote. List price is quote only. Confirm the operations meter, including what a silent router costs.

Switching cost

Week 1 is an inventory of every Zap or scenario that touches money, access, or a customer-visible message. Export the graph, the connections, and the last 90 days of run history. Count builders versus viewers. That split is what both quotes should price.

Week 2 is a rebuild of the ten flows that cannot fail: paid conversion, seat change, refund, churn notice, and provisioning. US Tech Automations logs the paid-conversion event into CRM with an idempotency key so a dual-run cannot create two opportunities. That step is the difference between "we connected billing" and "finance trusts the count."

Week 3 is dual-run. Fire both the old and new flow on a sampled ten percent of events, compare payloads, then raise the sample. US Tech Automations parks a failed scenario with the raw payload attached so a human can approve a retry without guessing. If you skip that park step, you will replay a charge.

Week 4 is freeze. Revoke old connections. Keep a read-only export of run history for the retention period your auditor named. Retraining is two live flows per builder, not a recorded webinar.

Expect a calendar month for a few dozen flows, longer if you have hundreds. The quote should name export format, historical-run retention, and whether overlap is billed.

If those flows include trial-to-paid or billing-to-CRM, freeze any extra agents on agentic workflows during dual-run so you do not double-write.

The partner memo for Zapier versus Make should list the ten flows, the linear-versus-branched marks, the two quotes with named billable units, and the dual-run sample plan. If someone still wants a printed list price, the answer is that neither vendor gives you one, and a guessed task or operations fee will be read back to you at renewal. Quote both. Pick on the six criteria. Freeze the loser after the sample month, not after a demo.

Verdict

These two are close on the "connect two SaaS apps" job and not close on the criteria that survive a partner meeting. Zapier is the pick when catalog breadth and a public governance surface matter more than a picture of the graph. Make is the pick when the automation is a branched scenario a RevOps builder must see and change without opening five nested Zaps.

Who should pick the other one: if your CISO will not sign off without action-level restrictions and log streaming described in writing, do not pick Make on a canvas screenshot. If your growth lead cannot debug a seven-step branch on a linear list, do not pick Zapier on catalog size.

Do not pick on a published price. There is not one. Ask both vendors for a quote that names the billable unit, AI or operations add-ons, SSO, export, and the overlap month. Bring those quotes with the six-criteria sheet, not with a demo recording.

When the quotes are in hand, Review the options.

FAQs

Can Zapier and Make run in parallel after cutover?

No, not on the same events. Dual-run only during the sample month, then freeze one. Two live writers on paid conversion will duplicate opportunities and invoices.

Does either vendor publish a list price?

No. Both are quote only. Ask for the billable unit (task versus operations), add-ons, SSO, and migration as named lines. Do not write "around" into a partner memo.

What is the first criterion to score?

Scenario shape. If the flow is linear, Zapier is enough. If it branches and merges, Make's canvas is the native shape. Catalog size is the second criterion, not the first.

Should a security review block Make?

Only if the quote cannot name SSO, audit logs, and data-retention in writing. Zapier publishes more of that surface today. A missing public page is not a no; it is a question for the quote.

How many flows should you dual-run?

Start with the ten that touch money, access, or a customer-visible message. Sample ten percent of events, then raise. Do not dual-run a refund flow at 100 percent.

Who owns run history after you cancel?

Ask in the quote. Export 90 days of runs before you revoke connections. Keep a read-only archive for the retention period your auditor named.

Why not pick on app count alone?

Because a 9,000-app catalog does not debug a seven-step branch. App count matters after you know the shape of the flow and who is allowed to build it.

Key Takeaways

• Zapier fits governed linear Zaps across a wide catalog; Make fits visual, branched scenarios. They are close on simple two-app jobs and not close on the rest.

• Both vendors are quote only. Print no dollar figure. Ask for the billable unit, add-ons, SSO, export, and overlap month.

• Score six criteria first: catalog, shape, governance, who builds, failure handling, cutover.

• Median SaaS conversion rate is 8%; Median growth decayed from 65% to 28%; Software developer jobs projected to grow 10%.

• US Tech Automations should idempotency-key the paid-conversion write and park failed payloads during dual-run so finance never sees a duplicate.

• Expect a calendar month. Freeze any extra agents while both tools are live.

• When the quotes are in, Review the options. and keep the homepage at US Tech Automations as the place those two steps are wired.