Two years ago, Make.com felt like magic. We connected our agency's CRM to Slack, automated our onboarding emails, and synced our invoicing software in an afternoon. It was fast, visual, and highly addictive.
But as our agency grew, that magic faded.
Our client load tripled. We started running complex AI lead enrichment workflows, scraping hundreds of websites daily, and pushing massive datasets between platforms. Suddenly, our monthly Make.com bill skyrocketed. Workflows that were once simple became tangled, unmanageable webs of routing logic. When an API failed, fixing the error took hours.
We hit the "Make.com Wall." We needed a platform that scaled without punishing our profit margins.
That's when we moved everything to n8n. Here is the unvarnished truth about why we abandoned Make.com, what the migration actually cost us in time, and how to decide if your business needs to make the switch.
The Honeymoon Phase: Why Make Was Great
Before diving into the breakup, we have to acknowledge why Make.com is still a massive player in the automation space.
Make is the ultimate prototyping playground. Its visual, bubble-based interface makes it incredibly easy for non-technical founders to understand how data flows from point A to point B.
When you are a small team testing a new business process, speed is everything. Make allows you to drag, drop, and map data fields with zero coding experience. For low-volume tasks—like sending a Slack notification when a high-ticket invoice is paid—Make is flawless.
Key Insight: Make.com optimizes for time-to-first-value. You can build and deploy a working automation in 15 minutes. But optimizing for setup speed often creates technical debt later.
The Three Breaking Points
Our relationship with Make.com didn't end overnight. It deteriorated over three specific operational bottlenecks.
1. The "Per-Operation" Pricing Trap
This is the number one reason agencies outgrow Make.com.
Make charges you for every single operation (step) in a workflow. If your workflow has 5 modules, and you process 100 leads through it, you just burned 500 operations.
When we started running AI data enrichment, our workflows expanded to 15+ steps. We were scraping data, summarizing it with ChatGPT, updating HubSpot, adding rows to Google Sheets, and alerting the sales team. Processing just 200 leads a day was burning through tens of thousands of operations a month.
We were actively punished for scaling our client acquisition.
n8n fundamentally changes this math. If you use their cloud version, they charge per workflow execution, not per step. Even better, if you self-host n8n, your operations are effectively unlimited. You only pay for your server hosting (usually around $10-20 a month).
2. The Router Nightmare (Spaghetti Logic)
As your business processes mature, they require conditional logic. "If the lead is a marketing agency, send them to Pipeline A. If they are an eCommerce brand, send them to Pipeline B. If the data is missing, send an email to the team."
Make.com handles this using "Routers."
The problem? Routers force you to visually duplicate your downstream steps. If all three pipelines eventually need to update the exact same Google Sheet, you have to place three identical Google Sheet modules at the end of every route.
When you need to change one column in that spreadsheet, you have to manually open and update all three modules. Miss one, and the automation breaks.
n8n solves this elegantly with the Switch node. It routes data perfectly without forcing you to duplicate the end of your workflow. We detail exactly how much time this saves in our guide on The Switch Node Secret How To Clean Up Your Messy Automations.
3. Error Handling and Vendor Lock-in
When an API goes down, automations fail. It is a fact of business.
Make's error handling is notoriously frustrating. If a module fails midway through processing a list of 50 items, the entire execution often halts. Finding the exact item that caused the crash requires digging through cryptic logs.
Furthermore, you are entirely reliant on Make's native integrations. If Make hasn't built an integration for a niche software your client uses, you are stuck writing messy HTTP requests.
Because Make is a closed-source SaaS, you don't own the underlying infrastructure. If they double their pricing tomorrow, you have no choice but to pay.
Why We Bet on n8n
We didn't just want a cheaper Make.com. We wanted an automation infrastructure we could actually own. n8n provided three distinct advantages that transformed our agency operations.
Deep Logic and Code Control
n8n caters to users who want to go deeper. While 90% of your workflow can be built using drag-and-drop nodes, n8n includes a native Code node that accepts standard JavaScript and Python.
When we encounter a bizarre data formatting issue from a legacy client database, we don't have to string together 10 different text-formatting modules. We write three lines of JavaScript, clean the data instantly, and move on.
True Sub-Workflows
n8n allows you to build sub-workflows seamlessly.
Instead of rebuilding a complex "Slack Error Alert" sequence in every single automation, we built it once as a standalone sub-workflow. Now, whenever an automation fails anywhere in our agency, it simply triggers that master sub-workflow.
This modular approach cut our maintenance time in half. For a deep dive into how to structure this, read our framework on N8n Workflow Design Patterns Error Handling Production Setup.
Unbeatable Margins via Self-Hosting
Agencies live and die by their margins. By moving to a self-hosted n8n instance on a private server, we eliminated our automation software bill entirely.
We pay roughly $20 a month for our digital ocean droplet. That server processes millions of operations, runs dozens of AI agents, and handles all our client reporting.
Quick Win: If you are nervous about server management, you don't have to self-host immediately. n8n Cloud offers an execution-based pricing model that is still significantly more margin-friendly than Make for high-volume users. Check out our breakdown on Self-Hosted n8n vs Cloud Which Protects Margins.
The Migration Reality Check
I will not pretend this migration was a weekend project. Switching core business infrastructure is painful.
Make.com processes data in distinct "bundles." n8n processes data in JSON arrays. Because the underlying data structures are fundamentally different, there is no magic "export to n8n" button. You have to rebuild every workflow from scratch.
Reality Check: Do not migrate your entire business at once. A full migration for a mid-sized agency will take 4 to 8 weeks of dedicated effort. Expect workflows to break during the transition.
Here is the exact playbook we used to migrate without halting agency operations:
- The Automation Audit: We listed every active Make.com scenario. We immediately deleted 20% of them because they were outdated or no longer tied to core business goals.
- The Stranglehold Approach: We left existing workflows running on Make. Any new workflow requested by the team was built natively in n8n.
- The High-Cost Cutover: We identified the three workflows consuming 80% of our Make.com operations. We rebuilt and tested these in n8n first. This immediately slashed our Make bill by 75%.
- The Long Tail: Over the next month, we slowly migrated the remaining low-volume tasks, one by one, until we could comfortably hit "Cancel Subscription" on Make.
The Decision Framework: Should You Switch?
Moving to n8n was the best operational decision our agency made this year. But it isn't for everyone. Here is how to decide your next move.
Stay on Make.com if:
- You are a solo founder validating a new business idea.
- Your automations are simple, linear point-A-to-point-B tasks.
- Your monthly operation count is comfortably under 10,000.
- You do not have an in-house technical team or the budget to hire an automation specialist.
Migrate to n8n if:
- Your Make.com bill exceeds $100/month and is climbing.
- Your workflows process thousands of database rows or API calls daily.
- You need complex routing without duplicating workflow steps.
- You require strict data privacy and need to self-host your infrastructure on your own servers.
- You want to run heavy, multi-step AI agent workflows without going broke.
Final Thoughts
Make.com taught us how to automate. n8n allowed us to build an actual software infrastructure.
When you are small, you pay for convenience. Make.com provides an incredible sandbox to learn the fundamentals of connecting APIs and freeing up your time. But as your business matures, your software stack needs to mature with it.
Transitioning away from per-operation pricing gives you the freedom to automate aggressively. You stop asking, "How much will this cost to run?" and start asking, "What else can we automate today?"
If your agency is hitting the Make.com wall and you are tired of untangling spaghetti workflows, it is time to upgrade your tech stack.
Ready to scale your business operations without scaling your software costs? Book a demo with Evalics today and let us build a custom, scalable n8n architecture for your agency.
Related Resources
- N8n vs Make Why Small Businesses Are Switching 2025
- The Switch Node Secret How To Clean Up Your Messy Automations
- N8n Workflow Design Patterns Error Handling Production Setup
- Stop Paying For 10 Different SaaS Tools Build Them In n8n
Official Sources
- Make.com Official Pricing & Operations Guide
- n8n Cloud Pricing vs Self-Hosted Documentation
- n8n Core Nodes and Switch Logic Details
By Kevin Michael Schindler, AI Automation Expert at Evalics