Make

Visual automation that's 60% cheaper than Zapier — with more power

Automation 4.4 / 5 Free — 1K ops/month Updated Feb 2026

Quick Verdict

Make (formerly Integromat) is the best-value automation tool for Indian teams who've outgrown Zapier's simple trigger-action model but don't want to self-host n8n. It offers a visual canvas for building complex, multi-path workflows — with routers, iterators, aggregators, and conditional logic that Zapier can't match at 60–70% lower cost. The learning curve is steeper than Zapier (visual canvas is more complex than linear Zaps), but the payoff is significant for teams running automations that need branching logic, data transformation, or high operation volumes where Zapier pricing becomes prohibitive.

Workflow Power
4.6
Pricing Value
4.5
Ease of Use
3.6
App Library
4.2
Free Tier
3.5

What is Make?

Make (rebranded from Integromat in 2022) is a visual automation platform founded in 2012 in Prague. It lets you connect apps and automate workflows using a drag-and-drop canvas — like Zapier, but with a visual flowchart interface instead of linear trigger-action steps. Make handles 1,600+ app integrations and is used by 500,000+ teams globally.

The key difference from Zapier: Make's canvas lets you build branching workflows — if payment succeeds, go to path A; if it fails, go to path B. You can loop through arrays, aggregate data from multiple sources, and transform data using built-in functions. This makes Make suitable for automations that would require multiple separate Zaps in Zapier or a developer to build in n8n.

For Indian product and ops teams, Make hits the sweet spot between Zapier's simplicity and n8n's technical requirements. A Bangalore growth team that needs "Razorpay webhook → if payment succeeded → update CRM → send WhatsApp confirmation → log to Google Sheets; if failed → create Freshdesk ticket → alert Slack" can build this in Make's canvas without engineering. The same workflow would require 4 separate Zaps in Zapier at 3× the cost.

Key Features

Visual Canvas Builder

Drag-and-drop scenario builder with branching logic. Connect modules on a canvas — see the entire workflow visually. Routers split execution into multiple paths based on conditions. Filters stop execution if conditions aren't met. Far more powerful than Zapier's linear chain for complex workflows.

Iterators & Aggregators

Process arrays of data — loop through all line items in an order, all rows in a spreadsheet, or all records from an API response. Aggregate results and summarise. These features handle data processing that Zapier simply cannot do without separate tools or code.

Custom Webhooks & HTTP

Receive webhooks from any source and parse them with Make's built-in JSON/XML parsers. Make outgoing HTTP requests to any API with custom headers and authentication. Indian fintech teams use this to connect Razorpay, Cashfree, and custom internal APIs that aren't in Make's app library.

Data Transformation

Built-in functions for text manipulation, date formatting, number rounding, array operations, and more — applied directly in the workflow canvas without custom code. Process and reshape data between steps without needing a developer or a separate data transformation tool.

Top Make Workflows for Indian Product Teams

💳 Payment → CRM + WhatsApp

Razorpay/Cashfree webhook → router (success/failure) → update HubSpot deal → send WhatsApp via MSG91 → log to Google Sheets. Replaces 4 Zapier steps at 70% lower cost.

📋 Form → Onboarding Sequence

Typeform/Google Form submission → create record in Notion + HubSpot → send welcome email via Mailchimp → create Linear issue for sales follow-up → notify Slack channel.

🐛 Error Monitoring → Alerting

Sentry/Datadog alert → filter by severity → create Jira/Linear bug → assign to on-call engineer via PagerDuty → post to #incidents Slack with error details.

📊 Daily Reporting

Scheduled trigger → fetch data from multiple APIs (Razorpay, GA4, Mixpanel) → aggregate into single report → post formatted summary to Slack or email to leadership.

Make vs Zapier vs n8n

FactorMakeZapiern8n
Visual canvasYes — branchingLinear onlyYes — complex
Ease of useModerateEasiestTechnical
Price (10K ops/mo)~₹1,700/mo~₹4,700/moFree (self-hosted)
App library1,600+7,000+400+
Self-hostingNoNoYes — full control
Data privacyEU serversUS serversYour own servers
Complex logicStrongWeakStrongest

Best For

  • Indian teams paying ₹5,000+/month for Zapier who want identical automation at 60% lower cost
  • Ops and growth teams needing branching conditional logic that Zapier's linear flow can't handle
  • Teams processing data arrays — iterating through order lines, spreadsheet rows, API responses
  • Non-developers who need more than Zapier but can't manage n8n's self-hosted infrastructure
  • Indian fintech teams connecting Razorpay/Cashfree webhooks to CRM and messaging workflows

Pricing

Make charges per operation (each module execution in a scenario counts as one operation). USD billing — 18% GST reverse charge for Indian companies. Annual billing saves ~20%.

Free

₹0

1,000 operations/month. 2 active scenarios. Sufficient for testing and very light automation. Most Indian teams outgrow this in under a month of real use. Good for validating Make works for your use case before paying.

Pro

~₹1,700/mo

$16/month for 10,000 ops with higher execution priority, full-text execution log, and custom variables. Worth it for Indian teams with time-sensitive automations (payment processing, alerts) where execution delay would cause user-facing problems.

💡 Cost comparison at scale: At 50,000 ops/month — Zapier Professional ₹33,000/month, Make Core ₹8,300/month, n8n self-hosted ₹800/month server cost. Make saves ₹24,000+/month vs Zapier at this volume while requiring no self-hosting infrastructure.

Pros and Cons

Pros

  • 60–70% cheaper than Zapier at comparable scale
  • Visual canvas with branching — far more powerful than linear Zaps
  • Iterator/aggregator modules handle data arrays natively
  • Detailed execution history for debugging
  • EU-based servers (GDPR compliant) — better than Zapier's US servers
  • Custom HTTP module connects any API without native integration

Cons

  • Steeper learning curve than Zapier — canvas is intimidating initially
  • Smaller app library (1,600) vs Zapier (7,000+)
  • USD billing + 18% GST reverse charge
  • Free plan very limited (1K ops) — hard to evaluate properly
  • No self-hosting option (unlike n8n)

Getting Started with Make

  1. Start by replicating one existing Zapier workflow, not a new one — The best way to learn Make's canvas is to migrate a workflow you already have working in Zapier. You know the expected outcome, so you can validate Make is working correctly. Rebuilding a familiar workflow teaches you how Make modules correspond to Zapier steps — typically 1 Zap = 1 Make scenario, but multi-step Zaps often become simpler in Make's unified canvas.
  2. Understand operations vs tasks before building — Make charges per operation (each module execution), not per task like Zapier. A scenario with 5 modules that runs 100 times = 500 operations. Use Make's scenario settings to check estimated monthly operations before activating. Scenarios that loop through arrays use operations fast — an iterator over 100 records with 3 subsequent modules = 300 operations per run. Budget operations before building complex scenarios.
  3. Use the Router module for every branching decision — Make's Router is what makes it more powerful than Zapier. Whenever a workflow needs to do different things based on a condition (payment success vs failure, user type, value threshold), add a Router and create separate paths. Each path can have its own filter and subsequent modules. Well-structured scenarios with Routers are easier to debug than trying to cram conditional logic into a single linear sequence.
  4. Test with the "Run once" button before activating — Make's Run Once button lets you execute a scenario once with live data before activating scheduled or webhook-triggered runs. Use this to validate each module is receiving and transforming data correctly. Check Make's execution log to see exactly what data each module sent and received. This debugging workflow saves hours of troubleshooting after a scenario is live.
  5. Set error handling on every critical scenario — Make scenarios fail silently by default — if a module errors, the scenario stops and you may not notice. For payment processing, CRM updates, and other critical workflows, add error handlers: in the scenario settings, add an error route that sends a Slack alert or email when a module fails. For Indian fintech automations where a failed CRM update means a lost lead, error handling is not optional.
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