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Productivity* Otto’s Pick

Make

Visual automation platform to connect apps and automate workflows

What it does

Make is a visual, node-based automation platform that connects apps and moves data between them without code, similar to Zapier but built around a canvas where you can see the whole workflow branch, loop, and route in one view instead of a linear step list. It handles more complex logic natively (routers, iterators, error handlers, data transformation) than Zapier's simpler trigger-action chains, which is why operations-heavy users prefer it once workflows get past basic "when X happens, do Y."

Free tier

Yes

Starts at

$9/mo

Setup

medium

Key features

Visual Builder1000+ App IntegrationsError HandlingSchedulingWebhooksData Transformation

Integrates with

Google Sheets, Slack, Shopify, HubSpot, Notion, Airtable, 1000+ more

Who this fits

  • Agencies and ops teams building multi-branch automations (not just single trigger-action chains)
  • E-commerce operators syncing inventory, orders, and fulfillment across Shopify, sheets, and shipping tools
  • Technical marketers who want visual logic without writing code but need more control than Zapier gives
  • Anyone already comfortable with Zapier who has hit its per-zap complexity ceiling
  • Budget-conscious teams — Make's paid tiers are meaningfully cheaper per-operation than Zapier's per-task pricing

Who it does NOT fit

  • Non-technical users who want the absolute simplest trigger-action setup (Zapier's UI is more forgiving)
  • Teams needing guaranteed real-time triggers on every app — some Make integrations poll on an interval rather than using instant webhooks
  • Anyone who wants to "set and forget" without ever checking a dashboard — operation overages bill automatically and silently if unwatched
  • Teams needing built-in AI agent orchestration as the primary use case (n8n or a dedicated agent framework fits better)

Pricing

- Free: 1,000 operations/month, 2 active scenarios - Core: $9/mo — 10,000 ops/month, unlimited scenarios - Pro: $16/mo — 10,000 ops/month, priority execution, custom variables - Teams: $29/mo — 10,000 ops/month, team roles and collaboration - Operations scale with usage — the listed price is the entry point per tier, and going over your included operations either triggers auto-scaling billing or throttles the scenario depending on your settings - As of late 2025, Make moved from a straight "operations" model toward "credits" on some plans, and AI-module runs can consume credits at a different rate than a standard module — verify the current unit economics before quoting a client a hard monthly number (Source: Make.com official pricing + DEV Community pricing breakdown, https://dev.to/trackstack/makecom-pricing-2026-what-operations-actually-cost-and-the-math-most-guides-skip-50bn)

Real gotchas

  • Filters cost an operation even when they stop the flow — unlike Zapier where a filter is free. Heavy-filter scenarios burn ops faster than expected (Source: DEV Community Make.com pricing breakdown, https://dev.to/trackstack/makecom-pricing-2026-what-operations-actually-cost-and-the-math-most-guides-skip-50bn)
  • Polling triggers (Gmail, some CRMs) check on an interval — Pro-tier minimum is roughly every minute — and EVERY poll counts as an operation whether or not anything new was found. A 1-minute Gmail poll alone can burn over 40,000 ops/month before a single action runs (Source: same DEV Community article)
  • Exceeding your included operations doesn't stop the scenario, it bills overage at roughly a 25-30% markup over the base rate — the first surprise overage invoice is a common first-month experience
  • The operations-to-credits terminology shift (rolled out mid-2025 to some plans) means older guides and even some Make documentation use inconsistent units — confirm which model the client's account is actually on before estimating cost
  • No native mobile app for building/editing scenarios — monitoring only

Integrations that matter

Google Sheets, Slack, Shopify, HubSpot, Notion, Airtable, Stripe, Gmail, OpenAI/Claude API, webhooks (universal fallback), 1,000+ app connectors total.

Otto’s take on this tool

Recommend Make when: the user needs multi-branch or conditional automation logic that Zapier's linear Zaps can't cleanly express, is price-sensitive on a per-operation basis, or is already technical enough to be comfortable with a visual canvas. Especially strong for e-commerce order/inventory sync and agency ops. Do NOT recommend as the first automation tool for a fully non-technical solo user — start them on Zapier's simpler UI, graduate to Make once they hit a real complexity wall. Always flag the polling-trigger operation trap and the filter-cost gotcha before estimating a client's monthly operation budget, since both cause real bill surprises.

Affiliate disclosure: if you sign up through the link above, Ottomately may earn a referral commission at no cost to you. We only feature tools we have actually used or vetted through our recommendation engine.Partnership: 35% recurring for 12 months via Direct.

Editor's curated reviews

170 reviews across TrustPilot - avg 2.8/5

Curated by Otto from TrustPilot public reviews (fetched 2026-08-31). G2 and Capterra were consulted for aggregate context but not directly cited here (source-access limits). TrustPilot skews toward billing and support complaints for B2B SaaS; G2 and Capterra typically show higher aggregate scores. Not user-submitted on Ottomately.

  • Make is an excellent automation platform. Powerful, flexible, and allows you to build workflows for almost any use case.
  • Extremely frustrated with this solution. Even with ai the limitation of it could not make a simple action.
  • Our account somehow got hacked and spent several thousand dollars and they keep just sending us to an outdated wiki.
  • Make offers this for free, and their plans are reasonable. It's the only one that worked for me.
  • Make.com changed my life. Simplicity of how it works, it has everything I need and saves so much time.
  • The core workflow capabilities allow for rapid initial deployment, but the platform's UI latency is a constant bottleneck.

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