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Make vs Zapier vs n8n: Which Automation Platform for Service Business Operations?

The automation platform choice isn't just a technical decision — it affects your cost structure, how complex your automations can become, and whether you need a developer to build and maintain them. Here's the honest breakdown.

PN
Priya Nair
Lead AI Engineer, Irtiqa AI · 2026-04-08
MakeZapiern8n

Make vs Zapier vs n8n: Which Automation Platform?

Three platforms dominate the no-code/low-code automation space for service businesses: Zapier, Make (formerly Integromat), and n8n.

All three can automate the same core workflows — CRM updates, email sequences, lead routing, Slack notifications. But they differ significantly in pricing model, complexity ceiling, execution flexibility, and total cost of ownership.

Here's the breakdown.


Zapier

Strengths:

  • Largest app library (6,000+ integrations)
  • Easiest learning curve — if you can use a spreadsheet, you can use Zapier
  • Best for simple, linear workflows (trigger → action → action)
  • Excellent documentation and community support
  • Native integrations with almost every mainstream SaaS tool

Weaknesses:

  • Pricing scales sharply with volume — at 50,000+ tasks/month, Zapier can cost £400-£800+/month
  • Limited logic complexity — conditional paths, loops, and branching require workarounds
  • No on-premises deployment option (everything runs in Zapier's cloud)
  • Error handling is limited

Best for: Small to medium service businesses building their first automations. If you need "when a form is submitted, create a CRM contact and send a welcome email" — Zapier is the fastest path.

Not best for: Complex multi-step automations with conditional logic, high-volume workflows where task counts make pricing prohibitive, or businesses that need deep customisation.

Pricing: Free tier (100 tasks/month). Paid starts at £16/month. Professional (50,000+ tasks): £120-£200+/month.


Make (formerly Integromat)

Strengths:

  • Visual scenario builder is genuinely powerful — complex logic is easy to map
  • Superior conditional routing (if/else paths, loops, iterators)
  • Much better pricing at volume — 50,000 operations costs £29/month vs Zapier's £150+
  • Real-time execution for time-sensitive workflows
  • Strong error handling and retry logic
  • Native AI tools integration

Weaknesses:

  • Steeper learning curve than Zapier
  • Some app integrations are less polished than Zapier equivalents
  • Not all 6,000+ apps have native Make modules (some require HTTP requests)

Best for: Service businesses building moderately complex operations — multi-branch lead routing, proposal follow-up sequences with conditional logic, AI-integrated workflows. This is the platform we recommend for most of our deployments.

Not best for: Complete automation beginners (start with Zapier, move to Make when you hit its limits). Or businesses that need very deep custom code integration throughout (use n8n instead).

Pricing: Free tier (1,000 operations/month). Paid starts at £9/month. Professional: £29-£59/month for most service business volumes.


n8n

Strengths:

  • Open-source with self-hosting option (zero cost at any volume if self-hosted)
  • Most powerful platform for complex logic, custom code, and developer-level customisation
  • No per-operation pricing — flat hosting cost
  • Full transparency (source code is available)
  • Best for complex AI agent workflows that involve code execution

Weaknesses:

  • Highest technical barrier — comfortable with JSON, APIs, and basic scripting is practically required
  • Self-hosting requires server setup and maintenance
  • Fewer native integrations than Make or Zapier (many require custom HTTP configuration)
  • Support is community-based, not enterprise-grade

Best for: Businesses with technical resources (or working with a technical partner) building sophisticated AI automation. If you want to run a full multi-agent system at zero per-operation cost at any scale, n8n self-hosted is often the right answer.

Not best for: Non-technical founders or small teams without developer capacity. The time investment in setup and maintenance has a real cost.

Pricing: Free (self-hosted). Cloud pricing: €20-€50/month. Enterprise: custom.


The Decision Matrix

| Factor | Zapier | Make | n8n | |---|---|---|---| | Ease of use | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | | Complexity ceiling | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | | Integration breadth | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | | Cost at volume | ⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | | AI integration | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | | Error handling | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | | Community support | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ |


Our Typical Recommendation by Stage

Early stage (first automation builds): Start with Make. The learning curve is steeper than Zapier but the complexity ceiling is much higher — you'll reach Zapier's limits quickly if you're serious about automation.

Growth stage (active automation programme): Make remains the best balance of power and usability for most service businesses. Most of our client infrastructure runs on Make.

Scale stage (high volume, complex AI workflows): n8n self-hosted for cost and customisation reasons, with Make remaining for the simpler, high-frequency workflows.

Never use Zapier for: Volume-critical workflows where you'll exceed 10,000+ tasks/month. The cost structure makes it uneconomical at scale.


The Real Differentiator: Architecture, Not Platform

I want to be honest: the platform matters much less than the architecture.

A well-designed Zapier workflow will outperform a poorly-designed Make workflow. The thinking that goes into how the automation is structured — what triggers what, how errors are handled, how data flows between systems — is far more important than which platform it runs on.

Platform selection is one decision you make once. Architecture decisions you live with every day.


Book a free audit call and we'll assess which platform and architecture makes sense for your specific automation needs — and build it in the right tool for your team's capacity.

People Also Ask

AI infrastructure refers to the set of automated tools, integrations, APIs, and database connectors that enable AI agents to perform complex, end-to-end business workflows like intake, CRM updates, and scheduling without human friction.

AI infrastructure operates 24/7, responds to inquiries in under 5 minutes, handles unlimited concurrent calls and emails, and maintains 100% data entry consistency, all at a fraction of the cost of scaling human staff.

For service businesses, platforms like Make (formerly Integromat) and self-hosted n8n offer the best balance of visual scenario building, complex conditional logic, and cost-effective execution at volume compared to Zapier.

Irtiqa AI builds and operates customized revenue operations infrastructure and agentic AI systems that capture leads, automate follow-up, and stop silent revenue leakage.

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