The "n8n vs Make.com" question comes up constantly in the AIAA (AI automation agency) space — in Discord servers, subreddits, and every introductory call with someone trying to figure out their tech stack. Both platforms are excellent. Both have real limitations. And the right answer genuinely depends on your situation.
I've built client workflows on both. Here's the honest breakdown.
Quick Context: What These Tools Actually Are
Make.com (formerly Integromat) is a cloud-hosted visual automation platform with a scenario-based builder, 1,500+ integrations, and consumption-based pricing tied to "operations" (each action in a workflow).
n8n is an open-source automation tool you can self-host on your own server — or use their cloud version. It has a node-based builder, a rapidly growing integration library, and pricing tied to workflow executions rather than individual operations.
At the core, they do the same thing: connect apps, move data, trigger actions, build multi-step workflows. The differences are in pricing model, hosting, complexity ceiling, and client delivery experience.
Side-by-Side Comparison
| n8n | Make.com | |
|---|---|---|
| Pricing model | Per workflow execution | Per operation (each step counts) |
| Self-hosting | Yes — full control, no per-execution cost | No — cloud only |
| Starter cost | Free (self-hosted) / $20/mo cloud | $9/mo (core, 10k ops) |
| Scale cost (agency) | Self-hosted: ~$5–20/mo VPS for unlimited runs | Climbs steeply — $29–$65/mo at medium volume |
| Visual builder | Node-based canvas (steeper learning curve) | Scenario-based (more visual, friendlier) |
| Native integrations | 400+ (growing fast) | 1,500+ (larger library) |
| HTTP / custom API | Excellent — first-class HTTP node | Good — HTTP module available |
| Code / logic nodes | Full JavaScript execution in Code node | Limited — basic functions only |
| AI / LLM nodes | Native AI agent nodes, LangChain integration | OpenAI module available, less native |
| Error handling | Error branches, retry logic, catch nodes | Basic error handlers, less flexible |
| White-labeling for clients | Deploy on client subdomain, branded UI possible | Limited — client uses Make.com interface |
| Workflow sharing | JSON export/import | Blueprint export/import (easier for non-technical) |
| Community & templates | Growing fast | Larger, more established |
| Setup complexity | Higher (especially self-hosted) | Lower — sign up and start |
The Pricing Reality (For Agencies)
This is where the comparison gets concrete fast. Make.com charges per operation — every step in a workflow is billed. A lead follow-up sequence that: (1) receives a webhook, (2) checks a CRM, (3) generates an email with AI, (4) sends the email, and (5) logs to a sheet = 5 operations per run.
At 1,000 leads per month, that's 5,000 operations. Make.com's Core plan gives you 10,000 ops/mo — fine at this volume. But when you're running workflows for 5–10 clients at meaningful volume, you're in the $65–$100/month Make.com tier quickly.
n8n self-hosted on a $10/month VPS (DigitalOcean, Hetzner, Render) runs unlimited workflows for unlimited executions. The tradeoff: you manage the server, handle updates, and troubleshoot your own infrastructure.
The agency math: If you're billing clients $800–2,000/month for AI automation services and running their workflows on Make.com, your tool cost might be $20–50/month per client. That's fine margins. But if you're scaling to 10+ clients, n8n self-hosted can cut your tooling cost by 80% — and you control the infrastructure your clients depend on.
When to Choose Make.com
✓ Make.com is the right choice when:
You're just starting out and want zero infrastructure management. You're building workflows for clients who need to manage them directly (Make.com's UI is more approachable). Your workflows are mostly linear with standard integrations (Slack, Gmail, HubSpot, Airtable, etc.) and don't need custom code. You want to sell workflow blueprints as digital products — Make.com's export format is more user-friendly for non-technical buyers. You're doing 1–5 client deliveries per month and don't want DevOps overhead.
Best Make.com Workflows for Agencies
Webhook from contact form or ad → create CRM contact → GPT-4 qualification message → score lead → Slack alert to sales. Make.com's HubSpot and Salesforce native modules make this fast to build for clients on those platforms.
Watch Google My Business / Yelp for new reviews → AI drafts response → send draft to owner via email for approval → post on approval reply. Make.com's Google Business Profile module handles this cleanly.
Webhook from VoIP system (Twilio, JustCall) → check if caller is existing contact → send personalized SMS with booking link (Calendly). Straightforward linear flow where Make.com shines.
Watch Airtable content calendar → AI drafts posts → send for approval (email/Slack) → on approval, schedule to Buffer or directly via social APIs. Make.com's Buffer and social integrations are polished.
When to Choose n8n
✓ n8n is the right choice when:
You're comfortable running a Linux server and want to control your infrastructure. You're building complex workflows with custom JavaScript logic, branching conditions, or AI agent loops. You want to white-label the automation stack for clients (deploy n8n on their subdomain, branded). You're building workflows that need to run thousands of times per month per client and need cost predictability. You want to build the most capable AI agent pipelines — n8n's native LangChain and AI agent nodes are ahead of Make.com here.
Best n8n Workflows for Agencies
Inbound lead → AI agent node that can look up company info (via HTTP to Clearbit/Apollo), score based on ICP criteria using a custom rubric in the system prompt, decide routing, and send different follow-up sequences. This multi-step agent reasoning is where n8n's AI nodes beat Make.com handily.
Intake a PDF (contract, intake form, application) → extract text → AI parses structured fields → validate with JavaScript Code node → push to CRM or database. The Code node makes the validation logic reliable and testable in ways Make.com can't match.
Pull data from GA4, CRM, ad accounts via API → aggregate in Code node → AI writes narrative summary → generate PDF → email to client. The custom data manipulation in Code node + AI narrative combo is a strong value-add deliverable.
Shopify abandoned checkout webhook → check customer segment (new vs returning, cart value) → branch to different AI-written recovery sequences → send via Klaviyo or direct email. Both platforms handle this well; n8n wins if you need complex segmentation logic in Code node.
Receive webhook from Retell AI or Vapi when a call completes → parse transcript → AI extracts next steps and sentiment → create CRM note + task → trigger follow-up sequence if needed. The HTTP Request node + JavaScript parsing makes n8n the stronger choice for complex webhook payloads.
The White-Labeling Advantage (n8n)
This is the underrated business case for n8n that most comparisons miss.
When you build a client's automation stack on Make.com, they interact with Make.com's interface. If they ever decide to take it in-house or switch agencies, they keep the Make.com account. Your work is portable and replaceable.
With n8n self-hosted on a server you control — or on a subdomain like automation.clientname.com — you own the deployment. You can brand the interface. The client's workflows run on infrastructure you manage. This creates lock-in (in a good way) and a stickier client relationship.
It also lets you offer a differentiated pitch: "You're not getting Make.com templates — you're getting a dedicated automation infrastructure managed by us." That's easier to justify at $1,500–2,000/month than a resold SaaS subscription.
Practical note: Self-hosting n8n takes about 2 hours the first time (DigitalOcean droplet + Docker Compose + reverse proxy + SSL). After that, deploying a new client instance is under 30 minutes. If you're technically inclined, the setup cost is a one-time investment that pays back quickly at scale.
The Verdict: Don't Overthink It
The most common mistake is spending two weeks evaluating tools instead of building anything. Here's the shortcut:
- Start with Make.com if you've never built automation workflows professionally. The visual builder is faster to learn, there's no infrastructure, and you can deliver client value within days of signing up.
- Add n8n once you're comfortable and want to either (a) reduce costs as you scale, (b) build more complex AI workflows, or (c) offer white-labeled infrastructure as a differentiator.
- Don't pick one forever. Most serious agencies use both: Make.com for quick-turn client deliveries and simpler integrations, n8n for complex AI pipelines and high-volume or white-labeled work.
The agency skill isn't "knows n8n" or "knows Make.com." It's "understands automation logic, knows which tool to reach for, and can build reliably on either." That's what clients are paying for.
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Where to Go From Here
If you're building an AI automation agency, the tool question matters — but it's downstream of the business question: what workflows will you build, for which clients, at what price point?
The agency owners doing well right now aren't the ones with the most sophisticated tech stack. They're the ones who picked a niche (dental, real estate, e-commerce), got good at one or two high-value workflow types, and can deliver consistently. The tool is how you deliver it — not the thing you're selling.
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