Growth & Strategy

From Make.com to Zapier: Why I Migrated My Client's Entire Automation Stack (Real Implementation Story)

Personas
SaaS & Startup
Personas
SaaS & Startup

When I started working with a B2B startup on their website revamp, what began as a simple project quickly revealed a bigger problem. They were drowning in manual processes that should have been automated months ago.

The client wanted an easy way to create a Slack group for each project when a deal closed in HubSpot. Simple enough, right? What I discovered was that most businesses choose automation platforms based on price alone - which is exactly how I ended up testing three different platforms for the same use case.

Here's the thing about automation tools that nobody talks about: the cheapest option almost always becomes the most expensive when you factor in maintenance, error handling, and team adoption. I learned this the hard way after migrating the same workflow three times.

In this playbook, you'll discover:

  • Why Make.com's "budget-friendly" pricing becomes a nightmare when errors cascade

  • How N8N's powerful features turned me into a bottleneck for simple client requests

  • The exact moment I realized Zapier's higher cost was actually saving money

  • A decision framework based on real constraints, not marketing promises

  • What happened to team productivity after each migration

This isn't another "features comparison" article. This is what actually happens when you implement each platform for the same business need. Check out our complete growth automation playbooks for more real-world insights.

Reality Check
What automation consultants won't tell you

Here's what every automation expert will tell you about choosing between Make and Zapier:

  1. "Compare features and pricing" - They'll show you spreadsheets with checkmarks and dollar signs

  2. "Consider your technical expertise" - Suggesting that more complex = better for advanced users

  3. "Start with the free plan" - Because you can always upgrade later

  4. "Check integration availability" - Make sure your apps are supported

  5. "Evaluate workflow complexity" - Match the tool to your automation needs

This advice isn't wrong, but it's completely missing the point. It assumes that all platforms handle the same workflow equally well, which is absolutely not true.

The real difference isn't in the feature lists - it's in what happens when things go wrong. When Make.com hits an error, it stops everything. When N8N encounters a problem, you need a developer. When Zapier fails, it tries again and sends you a helpful email.

Most comparison guides are written by people who've never actually maintained these automations for months. They focus on setup complexity instead of operational reality. They talk about "powerful features" without mentioning that power often comes with complexity that kills team adoption.

The conventional wisdom treats automation platforms like they're all solving the same problem. But choosing between Make and Zapier isn't about features - it's about constraints. Your real constraints: budget, technical resources, team capabilities, and error tolerance.

Who am I

Consider me as
your business complice.

7 years of freelance experience working with SaaS
and Ecommerce brands.

How do I know all this (3 min video)

This story starts with a B2B startup that was manually creating Slack groups every time they closed a deal. The sales team would close a deal in HubSpot, then someone had to remember to create a new Slack workspace, invite the right people, and set up the proper channels.

As you can imagine, this "someone" was usually forgotten until the project kickoff meeting when everyone realized they had no central communication hub. Classic startup growing pains.

The workflow needed was straightforward: HubSpot deal closes → Slack group gets created automatically. But here's where it gets interesting - I ended up implementing this exact same workflow on three different platforms.

My initial choice was Make.com, and honestly, it was driven by one simple factor: pricing. The automation worked beautifully at first. HubSpot webhook triggered, Make processed the data, Slack group created. Everything worked.

Until it didn't.

The first major issue happened during a busy week when they closed multiple deals. One of the automations hit an error - I think it was a temporary Slack API issue. But here's the problem with Make.com that nobody tells you: when one step fails, the entire automation stops processing.

This wasn't just about that one deal. Every subsequent deal that should have triggered a Slack group creation was now stuck in limbo. The client didn't realize this until their team started manually creating groups again, wondering why the "automation" stopped working.

I spent hours troubleshooting, manually rerunning failed scenarios, and explaining to the client why their automated system suddenly required manual intervention. That's when I realized Make.com's pricing advantage disappears quickly when you factor in maintenance time.

So I migrated everything to N8N. More setup required, definitely needed developer knowledge, but the control was incredible. You can build virtually anything. The problem? Every small tweak the client wanted required my intervention. The interface, while powerful, isn't no-code friendly. I became the bottleneck in their automation process.

The client would Slack me things like "Can we add the deal amount to the Slack group name?" or "Can we change which team members get invited?" Simple requests that should take minutes, but in N8N, required me to modify workflows, test changes, and deploy updates.

That's when I made the final migration to Zapier. Yes, it's more expensive. But something changed that I wasn't expecting.

My experiments

Here's my playbook

What I ended up doing and the results.

Here's exactly what I did and what I discovered during this three-platform journey:

Phase 1: Make.com Implementation

The initial setup was straightforward. Make.com's visual interface made sense, and the pricing was attractive for a cash-conscious startup. I built the workflow in about 30 minutes:

  1. HubSpot webhook triggers when deal stage changes to "Closed Won"

  2. Extract deal data (company name, deal owner, project type)

  3. Create Slack channel with formatted name

  4. Invite relevant team members based on deal type

  5. Post welcome message with deal details

Everything worked perfectly for about three weeks. Then the cascading failure happened. One API timeout brought down the entire automation queue. Not just that workflow - every workflow in their Make.com account stopped processing until I manually intervened.

Phase 2: N8N Migration

I migrated to N8N thinking more control would solve the reliability issues. The self-hosted option appealed to the client's security requirements, and the workflow capabilities were impressive.

N8N handled errors much better. When the Slack API was slow, it would retry. When data formatting failed, it would log the error and continue with other automations. This was exactly what we needed from a reliability standpoint.

But I discovered something unexpected: the client's team couldn't make basic modifications. In Make.com, they could at least navigate through the interface and understand the workflow. N8N's node-based system was too technical for anyone without development experience.

Every change request meant scheduling time with me. Want to modify the Slack message template? Call the developer. Need to change the team member assignment logic? Another developer session. The automation was reliable, but the business became dependent on me for every tiny adjustment.

Phase 3: Zapier Implementation

The final migration to Zapier changed everything, and not just because of reliability. Yes, it's more expensive, but here's what happened that I didn't expect: the client's team gained independence.

The operations manager could navigate through each Zap, understand the logic, and make small edits without calling me. When they wanted to change the Slack channel naming convention, she figured it out herself. When they needed to adjust team member assignments, the sales director updated the logic directly.

Zapier's interface struck the perfect balance between powerful functionality and team accessibility. The error handling was robust - when something failed, it would retry automatically and send clear notifications about what went wrong.

More importantly, the handoff was smooth. I wasn't just delivering an automation; I was delivering a system the team could actually maintain and evolve.

Decision Framework
Your constraints determine the best platform choice
Error Handling
How each platform responds when workflows break
Team Autonomy
Who can actually modify automations after setup
Real TCO
Total cost includes maintenance and developer dependency

After implementing the same workflow three times, here's what actually happened to business operations:

Make.com Results:

  • Saved approximately 2 hours per week on manual Slack group creation

  • But generated 3-4 hours monthly in error troubleshooting and manual fixes

  • Team confidence in automation dropped after the first major failure

  • Created dependency on me for any workflow modifications


N8N Results:

  • Eliminated the cascading failure issues completely

  • Workflows became more reliable and could handle API timeouts gracefully

  • But every small change required 1-2 hours of developer time

  • Team became hesitant to request modifications due to the overhead


Zapier Results:

  • Same reliability as N8N with better error notifications

  • Team made 80% of workflow modifications independently

  • Reduced my involvement from weekly troubleshooting to monthly check-ins

  • Client satisfaction increased significantly due to control and transparency


The most interesting result? The client is still using Zapier today, and they've expanded their automation to handle customer onboarding, project status updates, and invoice processing. They never expanded their automation stack with the previous platforms.

Learnings

What I've learned and
the mistakes I've made.

Sharing so you don't make them.

Here are the key lessons from migrating the same workflow across three platforms:

  1. Error handling matters more than features - A simple workflow that fails gracefully beats a complex workflow that cascades failures

  2. Team adoption trumps technical capabilities - The best automation is one your team can actually use and modify

  3. Total cost includes maintenance time - Cheap upfront costs become expensive when you factor in ongoing support

  4. Choose based on constraints, not features - Your biggest constraint (budget, technical resources, or team capabilities) should drive the decision

  5. Platform migration is harder than expected - Each move required rebuilding workflows and retraining users

  6. Independence increases adoption - When teams can modify automations themselves, they actually use them more

  7. Reliability builds trust in automation - One major failure can kill team confidence for months

If I were choosing today, here's my framework:

  • Choose Make.com if: Budget is your primary constraint and you have simple, linear workflows

  • Choose N8N if: You have technical resources and need complex, customizable automation

  • Choose Zapier if: You need team accessibility and reliability trumps cost

The key insight? Don't start with features - start with constraints. For more automation strategies, check out our AI automation playbooks.

How you can adapt this to your Business

My playbook, condensed for your use case.

For your SaaS / Startup

For SaaS startups implementing automation between tools:

  • Start with Zapier if non-technical team members need to modify workflows

  • Consider Make.com only if budget is extremely tight and workflows are simple

  • Test error scenarios during trial periods - don't just test happy paths

  • Factor in training time when calculating total implementation cost

For your Ecommerce store

For ecommerce stores automating operations:

  • Zapier integrates best with Shopify and major ecommerce platforms

  • Order processing errors require reliable error handling - avoid Make.com

  • Consider seasonal traffic spikes when choosing platform reliability

  • Ensure customer service team can troubleshoot basic automation issues

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