Make.com Review: Is It Actually Cheaper Than Zapier For Scaling Agencies?
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This Make.com review answers the question every agency asks before migrating from Zapier: is the cost saving real? The short answer is yes — with conditions. Make.com Core at $9/month delivers 10,000 credits versus Zapier Starter’s 750 tasks at $19.99/month. For agencies running complex branching workflows at volume, Make is 60–70% cheaper. For teams relying on polling triggers, running AI-heavy modules, or staffing 10+ people who all need editor access, the credit model erodes that advantage fast. This Make.com review maps every hidden cost before you migrate a single client workflow.
Updated: May 2026. All pricing verified against make.com/pricing. Credit consumption rates sourced from verified independent testing and Make’s official documentation.
Make.com at a Glance
| Category | Detail |
| G2 rating | 4.7/5 (1,000+ reviews) |
| Founded / formerly | Integromat (2012) → Make.com (2022 rebrand) |
| Free plan | 1,000 credits/month, 2 active scenarios, 15-min scheduling minimum |
| Core plan | $9/month (annual) — 10,000 credits, unlimited scenarios, 1-min intervals, webhook support |
| Pro plan | $16/month (annual) — 10,000 credits + priority execution, custom variables, full execution log search |
| Teams plan | $29/user/month (annual) — 10,000 credits, team roles, shared templates, collaboration features |
| Enterprise | Custom pricing — unlimited credits option, SSO/SCIM, audit logs, overage protection, 24/7 support |
| Credit add-ons | $9 per 10,000 extra credits — auto top-up available; no surprise overage charges on standard plans |
| Operations/credits switch | August 27, 2025 — ‘Operations’ renamed to ‘Credits’; standard module cost unchanged (1 credit/module) |
| AI module credit cost | Variable — standard AI actions use multiple credits; Make Code (JS/Python) = 2 credits/second of execution |
| Integrations | 3,000+ apps |
| Setup complexity | Medium — steeper than Zapier; visual canvas requires learning routers, iterators, and data transformation |
| Polling tax risk | Real — checking every 1 minute = 43,200 trigger credits/month for that scenario alone |
| Teams plan per-user trap | $29/user/month — 10 team members = $290/month before a single credit is consumed |
The August 2025 Credit Switch: What Actually Changed
On August 27, 2025, Make renamed ‘Operations’ to ‘Credits.’ For standard automations, the cost is identical — one module execution still costs one credit. The naming change is cosmetic for most workflows. The material change is in AI-related features: AI modules, Make Code (JavaScript/Python execution), and advanced data processing now consume credits variably rather than at a flat 1-credit-per-module rate.
Make Code (JS/Python): Bills at 2 credits per second of execution time. A JavaScript module that runs for 3 seconds consumes 6 credits per run. At 2,000 runs/month, that single module costs 12,000 credits — already exceeding the Core plan’s 10,000 credit base. Teams running custom code modules need to audit execution time and credit consumption before assuming Core covers their workflow.
AI module credit variability: Make’s native AI modules — OpenAI, Anthropic Claude, Google Gemini — consume credits based on token usage and processing complexity, not a flat 1-credit rate. A simple AI text generation call costs approximately 2–5 credits. A complex prompt with large context windows costs 10–50+ credits per execution. Use HTTP request modules with your own API keys to bypass Make’s AI credit billing and pay only your AI provider’s API costs directly.
Make.com Review: Pricing Plans and What Each Actually Delivers
| Plan | Free | Core | Pro | Teams |
| Monthly price (annual) | $0 | $9/mo | $16/mo | $29/user/mo |
| Credits/month | 1,000 | 10,000 | 10,000 | 10,000 |
| Active scenarios | 2 | Unlimited | Unlimited | Unlimited |
| Min scheduling interval | 15 minutes | 1 minute | 1 minute | 1 minute |
| Webhook support | No | Yes | Yes | Yes |
| Priority execution | No | No | Yes | Yes |
| Custom variables | No | No | Yes | Yes |
| Full execution log search | No | No | Yes | Yes |
| Team roles + permissions | No | No | No | Yes |
| Shared scenario templates | No | No | No | Yes |
| Make API access | No | Yes | Yes | Yes |
| Credit add-on price | N/A | $9/10K | $9/10K | $9/10K |
Free Plan: Real Utility, Real Limits
1,000 credits/month, 2 active scenarios, 15-minute minimum scheduling interval. The 15-minute interval kills time-sensitive workflows. A lead notification scenario that needs to fire within minutes of a form submission is useless on the free plan. The 2 active scenario cap means you cannot test a full client workflow stack without deactivating something else. Use the free plan to learn the visual canvas and test credit consumption on a sample workflow — not to run production automations.
Core Plan ($9/month Annual): The Right Entry Point
10,000 credits, unlimited scenarios, 1-minute intervals, webhook support. This is where a Make.com review verdict changes from ‘interesting’ to ‘compelling.’ At $9/month, Core delivers 10,000 credits versus Zapier Starter’s 750 tasks at $19.99/month — a 1,233% more credit volume for 55% less money. A standard 4-step lead routing workflow (form → CRM → Slack → email) running 2,500 times/month consumes 10,000 credits precisely. Core handles it. Zapier Starter can’t — it forces you to the $49/month Professional tier for the same volume.
Core gaps: No priority execution, no custom variables, no full-text execution log search. For agencies debugging complex client workflows, the inability to search execution logs by content is a real operational friction. Pro at $16/month adds those three features without changing the credit count.
Pro Plan ($16/month Annual): The Agency Debug Tier
Same 10,000 credits as Core. Three added features: priority execution, custom variables, full execution log search. Priority execution matters when Make’s infrastructure is under load — your scenarios queue ahead of Core and free tier runs. For client-facing workflows where a 30-minute delay causes a visible failure, priority execution is worth the $7/month upgrade. Full execution log search is the feature that saves hours of debugging time — filter logs by scenario name, module, or data value without scrolling through thousands of individual runs.
Teams Plan ($29/user/month Annual): The Per-Seat Trap
$29 per user per month. A 10-person agency where all team members need scenario editor access pays $290/month before a single credit is consumed. Zapier Teams handles the same 10 users for $69/month flat. The Make Teams plan delivers genuine value — team roles, shared scenario templates, collaboration features — but the per-seat model compounds against agencies with large operational teams.
The workaround verified by the Make community: Build internal dashboards or client-facing trigger interfaces using tools like Softr or Glide on top of Make’s API. Team members interact with the dashboard to trigger workflows. Only one ‘Admin’ seat on Make.com required. Cost: $29/month instead of $290/month for a 10-person team. Savings: $261/month, $3,132/year.
Make.com Review: Head-to-Head Cost vs Zapier
The comparison that answers the agency migration question.
| Scenario | Make.com | Zapier |
| Entry paid plan | $9/month (10,000 credits) | $19.99/month (750 tasks) |
| 10,000 operations/month | $9/month (Core) | $49–$69/month (Professional/Team) |
| Same 4-step workflow × 2,500 runs/month | 10,000 credits = Core plan, $9/month | 10,000 tasks = $49+/month |
| Complex branching workflow (3 paths, 8 steps, only 3 execute per run) | 3 credits/run — only executed path billed | 8 tasks/run — all steps billed regardless |
| AI workflow with 5 AI module calls/run × 1,000 runs/month | Variable — AI modules consume 2–10+ credits each; can exceed plan fast | Per task — predictable, but costs more at low volume |
| 10-person team access (Teams plan) | $290/month ($29/user) before credits | Zapier Teams: from $69/month flat for 25 users |
| Polling scenario: 1-minute interval, lightweight check | 43,200 trigger credits/month burned checking for new data | No polling cost — Zapier bills only on successful task completion |
| Failed run cost | Credits consumed on partial failure — still billed for completed steps | No charge on failed Zap runs |
The Polling Tax: The Hidden Cost That Breaks the Math
Polling is when Make checks a trigger source for new data on a schedule rather than receiving a webhook. A scenario set to poll every 1 minute fires a trigger check 1,440 times per day. That’s 43,200 trigger credits consumed per month — before a single actual automation runs. A Core plan’s 10,000 credits is gone 4x over from one polling scenario alone.
Why it matters for agencies: Approximately 30% of apps supported by Make don’t offer webhook triggers. For those apps, polling is the only option. An agency running 5 polling scenarios at 1-minute intervals consumes 216,000 trigger credits per month before any workflow logic fires. That volume requires the Teams plan plus significant credit add-ons.
The fix: Set polling intervals to match actual business requirements, not the minimum available. A CRM sync that runs every 15 minutes instead of every 1 minute consumes 2,880 credits/month instead of 43,200 — a 93% reduction for one scenario. Audit every polling scenario in your Make account and set the interval to the slowest frequency the business actually requires.
| TSA SCAR: An agency running 12 client automation stacks migrated from Zapier to Make expecting a 70% cost reduction. Month one bill: $340 — higher than their Zapier spend. Root cause: 8 polling scenarios running at 1-minute intervals consumed 345,600 trigger credits before any workflow logic ran. Identifying the polling tax took three weeks of log analysis. Fix: switched all polling scenarios to 15-minute intervals and rebuilt 3 of them to accept webhooks instead. Month two bill: $47. The saving is real — but only after you architect for credits, not features. |
The Visual Canvas: Make.com’s Genuine Technical Advantage
The Make.com review verdict on the builder is unambiguous: it is the best visual workflow editor in the hosted automation category. Scenarios display as a flowchart on an infinite canvas. Routers branch workflows into multiple paths. Iterators process array items individually. Aggregators collect results back into a single output. Error handlers define exactly what happens when a module fails — retry, ignore, break, or rollback. All of it visible, all of it drag-and-drop configurable.
The branching credit advantage: Make bills only the executed path in a router branch. A scenario with 3 router paths and 8 modules per path runs 3 credits if the trigger matches the first path (3 modules execute), not 24 credits for all possible paths. Zapier bills every step in the workflow regardless of whether conditional logic routes around it. For complex multi-branch client onboarding workflows, this architecture difference alone drives the 3–4x cost advantage cited in independent testing.
The learning curve: The visual builder is more powerful than Zapier and harder to master. Concepts like JSON path mapping, array iterators, and custom aggregate functions require comfort with data structures that Zapier’s linear builder doesn’t expose. New Make users building their first complex scenario should budget 4–8 hours of learning time before expecting production-ready output. The Make Academy (free) covers these concepts — complete it before building client workflows.
AI Modules: Where Make.com Gets Expensive Fast
Native AI Module Costs
Make’s native AI integrations — OpenAI, Anthropic Claude, Google Gemini, Stability AI — are deeply integrated into the visual builder. Drag an AI module onto the canvas, configure the prompt and model, connect it to the workflow. The integration is clean. The credit cost is not.
Verified credit consumption (May 2026): A simple text generation call to GPT-4o via Make’s native OpenAI module consumes approximately 3–8 credits per execution depending on prompt length and response size. A complex document analysis prompt with 2,000-token context window: 15–40 credits per execution. At 1,000 AI module executions/month with a 10-credit average, that single module consumes 10,000 credits — the entire Core plan — before any other workflow logic runs.
The HTTP workaround (strongly recommended): Call AI APIs via Make’s native HTTP module using your own API key. The HTTP module costs 1 credit per execution regardless of AI token usage. You pay your AI provider’s API rate directly — typically $0.002–$0.015 per 1,000 tokens — without Make’s credit multiplier on top. Teams running AI-heavy workflows consistently reduce credit consumption 60–80% by switching from Make’s native AI modules to HTTP requests.
Make Code: JS and Python in the Workflow
2 credits per second of execution time. A JavaScript data transformation function that runs in 500ms costs 1 credit (rounds up to nearest second). A Python script processing a large JSON payload that runs in 4 seconds costs 8 credits per execution. Profile every Make Code module’s execution time during development — add a test log at the end that records execution time, then calculate monthly credit cost at your expected run frequency before deploying to production.
Make.com for Agencies: Where It Wins and Where It Doesn’t
Where Make.com Wins for Agencies
- Multi-client workflow templates: Teams plan allows building master scenario templates that clone for each new client. An agency with 20 clients running the same CRM → Slack → invoice automation builds it once, clones it 20 times, configures client-specific credentials per copy. Zapier has no equivalent template cloning for multi-client deployments.
- High-volume data processing: Make’s iterator and aggregator modules handle bulk record processing that Zapier routes through multiple Zaps. Processing 500 CRM records in a single scenario run: Make handles it in one scenario with an iterator. Zapier processes each record as a separate task.
- Complex client onboarding sequences: Routers, filters, and error handlers build conditional onboarding flows that respond differently based on client segment, service tier, or response data. The visual canvas makes these flows auditable — clients and account managers can follow the logic without reading code.
- Webhook-triggered workflows: Webhook triggers consume zero credits while waiting for events. A scenario that fires only when a Stripe payment completes uses credits only on actual payment events — not on idle polling. For event-driven workflows, Make’s pricing model is genuinely cheaper than any task-based alternative at volume.
Where Make.com Loses for Agencies
- Large operational teams needing editor access: $29/user/month on Teams competes poorly against Zapier Teams ($69/month flat for up to 25 users). Agencies with 10+ team members on Make pay more for access than on Zapier.
- Non-technical clients or handoffs: Handing a Make scenario to a non-technical client for ongoing management is a support burden. Zapier’s linear Zap editor is navigable by non-technical users. Make’s canvas with routers, iterators, and JSON mapping is not.
- Niche app integrations: Make’s 3,000+ apps versus Zapier’s 8,000+. For agencies with clients on niche or industry-specific platforms, Zapier’s ecosystem breadth is a real advantage. Check that every app your client stack requires is available on Make before migrating.
- Polling-heavy legacy stacks: If your client workflows depend on apps that don’t support webhooks, the polling tax makes Make’s cost advantage disappear. Audit every trigger type in your current automation stack before migrating.
Data Portability and Switching Cost
- Scenario export: Export any scenario as a JSON blueprint — full workflow logic including module configuration, mappings, and routing. Import the same blueprint to another Make account or another team.
- Team template library: Teams plan scenario templates export as JSON. An agency’s entire workflow library is portable to any new Make account or to a client’s own Make instance.
- No cross-platform portability: Make’s JSON blueprint format does not import to Zapier, n8n, or any other automation platform. Migrating away from Make requires rebuilding workflows in the destination platform. Budget 1–2 hours per complex scenario for rebuild and testing.
- Credentials and connections: OAuth connections to external apps do not export. Re-authorize every app connection in the destination account after migrating. For agencies managing 30+ client connections, this re-authorization process is a real migration cost.
Make.com Review Verdict: Make or Zapier?
| Make.com Wins When… | Zapier Wins When… |
| Your workflows use routers, branches, and iterators — only executed paths consume credits, making complex logic 3–4x cheaper per run | You need same-day setup with no learning curve — Zapier’s linear trigger-action model launches in minutes |
| You run high-volume scenarios (10,000+ operations/month) — Core at $9/month vs Zapier’s $49+/month for equivalent volume | Your team is non-technical — Zapier’s UI requires no understanding of JSON, arrays, or iterators |
| You build multi-step data transformation workflows — Make’s visual canvas handles aggregators, iterators, and array manipulation natively | You need 8,000+ app integrations — Zapier’s ecosystem is 2.5x larger; niche app connectors exist only on Zapier |
| You’re an agency building reusable templates for multiple clients — Teams plan shared templates reduce rebuild time | You rely on polling triggers for apps without webhook support — Zapier doesn’t bill polling; Make burns 43,200+ credits/month per polling scenario |
| Your scenarios are webhook-triggered (not polling) — webhook-based triggers consume zero credits on idle | You need predictable billing without tracking credit burn — Zapier’s task-based model is simpler to budget |
| You’re replacing 5,000+ Zapier tasks/month and can architect workflows efficiently — Make saves 60–70% vs equivalent Zapier spend | Your team has 5+ people who all need editor access — Zapier Teams is flat-rate; Make Teams is $29/user and compounds |
TSA Final Verdict: Make.com Review Bottom Line
The Make.com review verdict for scaling agencies: yes, it is cheaper than Zapier — if you architect for it. Core at $9/month delivers 10,000 credits versus Zapier’s 750 tasks at $19.99/month. The branching credit model saves 60–70% for complex multi-path workflows. Webhook-triggered scenarios cost nothing while idle. Reusable scenario templates on Teams reduce multi-client rebuild time to near zero. At 10,000+ operations/month, Make saves $40–$300/month over equivalent Zapier spend depending on workflow complexity.
The Make.com review verdict inverts for three specific profiles: teams running 5+ polling scenarios at short intervals (the polling tax eliminates the cost advantage), agencies with 10+ team members who all need editor access (Teams at $29/user beats Zapier Teams’ flat rate only below ~3 users), and non-technical operators who need to hand workflows to clients for ongoing management (Zapier’s UX wins on accessibility).
The pre-migration checklist:
- Audit every trigger type — webhook or polling? Polling scenarios at 1-minute intervals each consume 43,200 credits/month.
- Identify every AI module — replace Make’s native AI modules with HTTP requests to your own API keys.
- Count team members needing editor access — above 3 users, the Teams per-seat model needs comparison against Zapier Teams flat-rate.
- Run a 30-day parallel test — migrate one high-volume workflow to Make, measure actual credit consumption, extrapolate to your full stack before full migration.
Start here: Make’s free plan (1,000 credits/month) is the right first step. Build your most credit-intensive workflow first, measure actual consumption, and only then select the plan that covers your real monthly volume.
