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Make

FreemiumAutomation Last updated: April 13, 2026

Make is a visual no-code automation platform connecting 3,000+ apps via a flowchart-style canvas with routers, iterators, AI modules, and credit-based pricing.

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Pricing

Freemium
FreeFree; Core from ~$9/month
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Platforms

WebAPI

Capabilities

Context WindowN/A
API PricingN/A
Image Generation✗ No
Memory Persistence◑ Partial
Computer Use✗ No
API Available✓ Yes
Multimodal◑ Partial
Open Source✗ No
Browser Extension✗ No

Our Score

8.2/10
Functionality9.0
Features8.5
Usability7.5
Value9.5
Integrations8.0
Reliability7.5

Use Cases

Automation9.2Marketing8.5Data Analysis8.0Content Creation7.0Lead Generation8.2

Overview

Make (formerly Integromat) is a visual workflow automation platform used by teams needing complex multi-branch logic at lower cost than Zapier. Its canvas-based scenario builder exposes Routers, Iterators, Aggregators, and per-module error handlers that are not available as native primitives in Zapier's linear model. Core plan at ~$9/month provides 10,000 credits — approximately 13x more operations per dollar than Zapier Professional at $19.99/month. AI Toolkit modules call OpenAI, Anthropic, or Gemini natively; all paid plans can connect their own API keys. Maia AI assistant for scenario building is in early access. Make is SOC 2 Type II and ISO 27001 certified. Polling triggers consume credits regardless of data arrival, and failed runs still consume credits — both require deliberate scenario design to avoid cost waste.

Pricing

Plans & Pricing

Model

Current Make scenario engine; 3,000+ app modules; Routers, Iterators, Aggregators; 15-min interval; no AI provider connection

Usage Limits

1,000 credits/month; 15-min minimum interval; 100MB data transfer; no Make API; no webhooks; 90-day expert access

Key Features

  • Visual canvas scenario builder displaying data flow across Routers, Iterators, and Aggregators in a flowchart view for complex multi-branch logic
  • Routers splitting scenarios into conditional parallel paths, Iterators processing data arrays element-by-element, and Aggregators merging multiple results
  • Per-module error handlers with custom retry logic and fallback routing for resilient production automation
  • AI Toolkit modules for text generation, sentiment analysis, classification, summarisation, and data extraction using OpenAI, Anthropic, or Gemini
  • HTTP module enabling direct API calls to any endpoint without requiring a pre-built Make integration
  • Maia AI assistant for conversational scenario building using clarifying-question dialogue rather than single-prompt generation

Pros & Cons

Pros

  • Core plan at ~$9/month provides 10,000 credits — approximately 13x more operations per dollar than Zapier Professional ($19.99/month for 750 tasks) — making Make the cost-efficiency default for teams running moderate-to-high automation volume
  • Routers, Iterators, and Aggregators are native visual primitives on all plans including Free, enabling complex conditional branching, array processing, and data merging without the workarounds required in Zapier's linear model
  • Per-module error handlers with custom retry logic and fallback routing provide production-grade resilience that Zapier's basic error handling does not match
  • All paid plans connect directly to OpenAI, Anthropic, or Gemini using the user's own API key, meaning AI token costs are paid directly to the AI provider without a Make credit surcharge

Cons

  • Polling triggers consume credits every check interval regardless of whether new data arrives — a "Watch Google Drive for new files" trigger set to 1-minute intervals consumes 43,200 credits/month from an idle folder, requiring deliberate webhook-first design to avoid credit waste
  • Failed scenario runs still consume credits for steps completed before the failure — a looping bug running 1,000 failed iterations overnight drains the monthly credit allocation without producing usable output
  • Steeper learning curve than Zapier — Iterators, Aggregators, Routers, and Subscenarios require 2–5 hours to understand before confident scenario construction; Make's own documentation recommends Make Academy training before building complex scenarios
  • Maia AI scenario builder is in early access as of April 2026 and is less polished than Zapier Copilot; fewer pre-built integration templates than Zapier's 7,000+ app library leaves niche tool connections unsupported

Who It's For

Best For

  • Technical teams or technically-minded business users who need complex multi-branch, looping, and data-transformation workflows that Zapier's linear model handles poorly
  • Cost-conscious organisations automating at moderate-to-high volume where Make's 10,000 credits at ~$9/month provides 3–5x more operations per dollar than Zapier
  • Agencies and operations teams building modular, reusable automation systems using Subscenarios and shared templates across multiple clients or departments
  • Developers who need direct API access via HTTP module and the ability to use their own AI provider API keys without per-token surcharges from the automation platform

Not Ideal For

  • Non-technical teams or beginners who need the fastest time-to-first-automation without a learning curve — Zapier's linear builder delivers working automations in under 5 minutes where Make requires hours of initial learning
  • Teams whose stack includes niche or industry-specific apps only available in Zapier's 7,000+ library but absent from Make's ~3,000 integrations
  • High-frequency polling-trigger workflows where the credit consumption of empty-check intervals makes total monthly costs exceed Zapier despite the lower headline price
  • Organisations needing the most mature AI-native automation features — Zapier's Copilot, AI Agents, and Canvas are more developed than Make's early-access Maia as of April 2026

Audience Scores

Marketers8.5/10
Developers8.8/10
Small Business8.2/10
Agencies8.5/10

Compares With

Zapier

7,000+ integrations vs Make's ~3,000; linear builder with lowest learning curve; Copilot and AI Agents more mature; 3–5x more expensive per operation at equivalent volume; no native Routers/Iterators/Aggregators.

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Often Used With

Zapier

Used alongside Make when niche app integrations are required that Make does not support; some teams use Zapier for simple quick automations and Make for complex logic-heavy workflows.

Use Cases

Automation

9.2/10

Visual canvas with Routers, Iterators, Aggregators, and per-module error handlers covers complex multi-branch and loop logic natively that requires workarounds in Zapier; HTTP module enables direct API calls to any endpoint without a pre-built integration; real-time execution visualization simplifies debugging of complex scenarios.

Marketing

8.5/10

AI Toolkit modules for sentiment analysis, text classification, summarization, and extraction embed directly into multi-step marketing scenarios; 3,000+ app integrations cover CRM, email, social, and analytics tools; cost efficiency at scale ($9/month for 10,000 credits) enables high-frequency campaign automation without rapid tier escalation.

Data Analysis

8/10

Iterators process data arrays one item at a time, and Aggregators combine results back into a single payload — enabling batch data processing pipelines in visual steps without code; native JSON, XML, and CSV parsing modules handle structured data transformation without external formatter tools.

Content Creation

7/10

AI modules calling OpenAI or Anthropic generate, classify, or summarise content as steps within automation scenarios; Make is a workflow orchestration layer for content pipelines rather than a content generation tool, limiting direct content creation capability.

Lead Generation

8.2/10

Conditional routing via Routers directs leads through different nurture paths based on score, source, or behaviour in a single scenario; Webhooks on Core and above receive real-time form and CRM event data; Iterators process bulk lead lists efficiently within a single scenario execution.

Consider These Instead

When Not To Choose Make

Choose Zapier when the required app integrations are among the ~4,000 apps Make does not cover, when non-technical team members need to build automations independently without training, or when Zapier's Copilot and AI Agents maturity is the priority — Zapier's 7,000+ integrations and easier onboarding justify the 3–5x premium for appropriate use cases. Choose n8n when a developer is available to manage the platform, self-hosted deployment is required for data residency or cost elimination, or advanced LangChain-based AI agent architecture is the automation requirement — n8n's open-source self-hosted option eliminates per-execution costs entirely. Choose Microsoft Power Automate when the organisation is Microsoft 365-native and automation within Teams, SharePoint, and Office applications is the primary use case at no additional licensing cost.

Integrations

Google WorkspaceSlackHubspotAirtableOpenaiAnthropic (Claude)Http Module (Any Rest Api)Webhooks

Known Limitations

pricing complexitylearning curveecosystem weaknessreliability risk

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