Reviewed by JustPrompt Editorial Team · Updated August 5, 2026
4.1/5
We tested Make's visual automation builder and its dynamic, credit-based pricing — genuinely powerful for complex workflows, with costs that climb fast at scale.
Make — rebranded from Integromat, a name some longtime users still use — occupies a specific, well-established position in the automation category: it's consistently described, across nearly every independent comparison we found, as the more powerful, more flexible alternative to Zapier, at the direct cost of a steeper learning curve. Where Zapier's step-by-step "Zap" model favors simplicity, Make's visual, node-based "scenario" builder lets users construct genuinely complex, branching, conditional workflows in a single canvas — the kind of logic that would require chaining several separate Zaps together in Zapier. Reviewers consistently frame the tradeoff the same way: Make can do more, but it asks more of you to get there.
The platform covers roughly 2,000 native integrations — meaningfully fewer than Zapier's 8,000-plus — but makes up real ground with custom API connections and developer-friendly extensibility, which is why independent guides consistently position Make as the choice for businesses running genuinely ambitious, technically demanding automation rather than simple, single-step triggers. One specific, credible account from a marketing agency owner (a November 2025 Capterra review) captures the honest tension well: she personally preferred Make's power but ultimately moved her own use back toward Zapier specifically because her clients found Make's visual scenario maps overwhelming to manage themselves — a genuinely useful data point about who each tool actually serves well.
What makes this review distinctly worth digging into, and what you specifically flagged, is Make's pricing structure — a genuinely large, dynamic, credit-based system that scales continuously from 10,000 to over 8 million credits per month, with prices moving in real time as you adjust the slider. We tested the builder directly and mapped the pricing structure across multiple points on that scale to understand what it actually costs at both entry-level and serious-scale usage.
Pricing was confirmed directly from your three screenshots, captured at two points on the credit slider (10,000 credits/mo and 8,000,000 credits/mo) across both monthly and annual billing. The core mechanic: every tier above Free is priced per credit-volume tier, so the dollar figure shown scales continuously as you move the slider — the numbers below are the entry point (10,000 credits/mo), not a fixed rate.
| Plan | Price (at 10K credits/mo) | What's Included |
|---|---|---|
| Free | $0/mo (up to 1,000 credits/mo, no time limit) | No-code visual workflow builder, 3,000+ apps, routers & filters, customer support |
| Core | $9/mo (billed annually, $10.59/mo month-to-month) | Everything in Free, plus unlimited active scenarios, scheduling down to the minute, increased data transfer limits, Make API access |
| Pro (Recommended) | $16/mo (billed annually, $18.82/mo month-to-month) | Everything in Core, plus priority scenario execution, custom variables, full-text execution log search |
| Teams | $29/mo (billed annually, $34.12/mo month-to-month) | Everything in Pro, plus team roles, shared scenario templates |
| Enterprise | Custom pricing | Everything in Teams, plus custom functions, enterprise app integrations, 24/7 support, Value Engineering team access, overage protection |
The scaling deserves a concrete illustration rather than an abstract warning: at 8,000,000 credits/month, the same Pro tier jumps to $5,660.47/mo and Teams to $9,683.59/mo — and notably, Core stops being available at all beyond a certain volume, forcing an upgrade to Pro regardless of whether you need Pro's specific features. Annual billing saves roughly 15% at every point on the scale. The practical takeaway: drag the slider to your realistic monthly usage before comparing Make's price against any competitor — the entry-tier numbers are only meaningful for genuinely light usage.
Make's reputation is remarkably consistent across every independent source we checked: it's the more capable, more flexible automation platform, and that capability is real rather than marketing language — the visual scenario builder genuinely handles complex, branching logic that would require multiple chained tools elsewhere, and its error-handling is specifically, repeatedly called out as stronger than Zapier's. For technically comfortable users and teams with genuinely complex automation needs, that power is the entire reason to choose Make over a simpler competitor.
The tradeoff is equally consistent across reviews: Make asks more of its users than Zapier does, and that cost shows up in two specific, recurring ways. First, complexity itself becomes a liability at scale — reviewers describe scenarios with many modules becoming genuinely difficult to manage and debug, and the honest account of an agency owner who moved her own workflow back to Zapier specifically because her clients found Make's visual maps overwhelming is a useful, concrete data point rather than a generic complaint. Second, support responsiveness shows up repeatedly as a real concern — one G2 reviewer described ticket response times ranging from a day to "many days" depending on when you ask, which is a genuine risk if you're relying on Make for production-critical automation and something breaks.
Who it's for: technically comfortable users and teams running genuinely complex, branching automation workflows — especially anyone who's hit Zapier's limitations and needs real conditional logic, custom API connections, or superior error handling. Teams willing to invest real setup time, similar to the tradeoff we found reviewing ClickUp, tend to get disproportionate value once scenarios are built correctly.
Who should look elsewhere: teams building simple, single-step automations, or anyone managing automation on behalf of non-technical clients or colleagues, should seriously weigh Zapier's simpler model — the consistent, credible feedback from users who've tried both is that Make's power becomes a genuine usability tax for straightforward use cases. And anyone budgeting for real scale should model actual expected credit usage against the slider directly before committing, given how dramatically pricing moves between the entry tier and serious volume — the difference between $16/month and thousands of dollars per month is entirely a function of usage you should estimate honestly upfront, not discover after the fact.
4.4/5
An open-source, AI-powered no-code automation platform to build workflows connecting apps, APIs, and AI agents.
4.1/5
Integration and automation tool for connecting apps and services.
4.4/5
Enterprise-grade RPA tool for automating business processes.
3.9/5
AI automation tool for browser workflows and task automation.
3.8/5
Simple automation tool for connecting apps and smart devices.
Make is a visual workflow automation platform formerly known as Integromat, rebranded but still recognized by that older name among longtime users. It lets you build automations — called "scenarios" — on a node-based canvas where you can connect apps, add conditional logic, and branch workflows in ways that go beyond simple linear triggers. Rather than chaining together separate one-step automations, Make lets you see and manage an entire complex process on a single screen, including multiple paths, filters, and error-handling routes running in parallel. It's built around roughly 2,000 native app integrations, supplemented heavily by custom HTTP and webhook connections for services without native support. In practice, it's positioned as an automation tool for technically comfortable users who need real branching logic — think finance, operations, or agency workflows with multiple decision points — rather than someone who just wants to connect two apps with a single trigger-action pair.
When people research broader ai automation tools, Make usually surfaces as one of the more technically capable general-purpose options rather than a narrow, single-purpose AI tool. It doesn't specialize in any one AI function — it's a connective layer that can route data between AI services, CRMs, spreadsheets, and internal tools using conditional logic most simpler builders can't handle. That makes it a strong fit if your automation needs already involve AI APIs feeding into multi-step business logic, but a weaker fit if you just want a plug-and-play AI feature with no configuration. Compared to purpose-built AI automation products, Make requires you to design the logic yourself, which is exactly the tradeoff reviewers describe: more power, more setup responsibility. If your workflows are genuinely complex and multi-branch, Make earns its place on that shortlist; if you want something instant and app-specific, it's likely overkill.
Probably not — and this is one of the clearest signals across independent reviews. Make's real advantage is handling branching, multi-condition workflows on one canvas, which is overkill if your actual need is a single trigger-action automation, like adding a new form submission to a spreadsheet. In that scenario, the credit-based pricing and steeper learning curve add friction without adding proportional value, since a simpler platform accomplishes the same task with less setup time and a gentler interface. The honest agency-owner account referenced in this review is telling here: even someone who personally preferred Make's power moved back to a simpler tool once client-side usability became the deciding factor. So the worth calculation depends heavily on workflow complexity, not just cost — Make is worth it once you're building scenarios with real conditional branches or need custom API connections, not for one-off simple tasks.
Yes — Make can connect to AI-powered services through both native integrations and custom API/webhook modules, which makes it usable as connective infrastructure for ai for social media or content-automation pipelines, even though it isn't itself a social media or content tool. For example, you could build a scenario that pulls content ideas from an AI writing service, formats them, and schedules posts across multiple social platforms, with conditional routing based on content type or approval status. This is where Make's branching logic genuinely pays off compared to simpler automation tools, since multi-platform social workflows often need real conditional steps rather than a single trigger-action pair. The tradeoff is the same one described throughout this review: you'll need comfort with building and debugging scenarios yourself, since Make doesn't offer pre-built social media templates the way some dedicated marketing automation platforms do.