n8n vs Zapier vs Make.com: Which Automation Platform Should You Actually Pay For?
We build client automations in all three. Here is how n8n, Zapier and Make actually compare on cost, reliability and WhatsApp lead follow-up.
The short answer: Use Zapier if you need three or four simple app-to-app connections and nobody on your team wants to think about infrastructure. Use Make.com if you want visual branching, loops and cheap high-volume runs without writing code. Use n8n if your automation involves AI agents, custom API calls, data you would rather keep on your own server, or thousands of runs per month where per-task billing gets painful. For the WhatsApp lead follow-up systems we build for Dubai real estate agencies, we use n8n almost every time, because the logic is conversational rather than linear and the volume is high enough that per-task pricing stops making sense.
That is the decision in one paragraph. The rest of this post is why, including the parts that go wrong.
What is the actual difference between n8n, Zapier and Make?
All three do the same basic thing: something happens in one system, and they make something happen in another. The differences are in how much logic they let you express, how they charge, and how much control you keep.
Zapier is the most opinionated. A Zap is a trigger followed by a series of steps. It has the largest app directory by a wide margin, and the setup experience is the friendliest of the three. It also charges per task, where a task is roughly every action step that runs. Multi-step Zaps burn tasks fast.
Make.com is a visual canvas. You draw modules and connect them, and you can branch, iterate over arrays, aggregate results and route conditionally without much friction. It charges per operation, and operations are cheaper than Zapier tasks, so heavy workflows are more affordable. The tradeoff is that complex Make scenarios become spaghetti quickly, and debugging someone else's canvas is genuinely unpleasant.
n8n is closer to a developer tool wearing a no-code interface. Nodes on a canvas, but with a Code node that runs JavaScript or Python, native HTTP request nodes that talk to any API, real queue-based execution, and the option to self-host. It charges per workflow execution on cloud plans, not per step, which changes the economics completely: a workflow with forty nodes costs the same as one with three. It also has the strongest AI agent tooling of the three, with memory, tool calling and vector stores built in rather than bolted on.
Here is the honest side-by-side:
| Zapier | Make.com | n8n | |
|---|---|---|---|
| Billing model | Per task (per action step) | Per operation (per module run) | Per workflow execution (any number of nodes) |
| Best at | Simple linear connections | Visual branching and loops | Custom APIs, AI agents, high volume |
| Custom code | Limited code steps | Limited code modules | Full JavaScript and Python |
| Self-hosting | No | No | Yes (community and enterprise) |
| App directory size | Largest | Large | Smaller, but a generic HTTP node covers the gap |
| Learning curve | Lowest | Medium | Highest |
| Where it hurts | Cost at volume | Debugging complex scenarios | You own the maintenance |
Prices on all three change, so check the vendor pricing pages before you commit. The billing model is the durable thing to reason about, not this month's number.
Which one is cheapest once you are actually running volume?
Cheapest at ten runs a month and cheapest at ten thousand are different questions.
At low volume, all three are effectively free or nearly free, and you should pick on comfort. At real volume, the billing model dominates. Think about a single incoming property enquiry from Property Finder. A serious follow-up workflow might: parse the lead, deduplicate against your CRM, look up the listing, pick a language, send a WhatsApp message, wait, check for a reply, classify the reply with an AI model, route hot leads to an agent, log everything, and schedule the next nudge if nothing came back.
Count the steps. That is fifteen to twenty five actions per lead, and some of them run more than once. On per-task billing, one lead can consume twenty tasks. Five hundred leads a month becomes ten thousand tasks, which is nowhere near an entry-level plan. On per-execution billing, that same lead is one execution regardless of how many nodes fire.
This is the single biggest reason we default to n8n for lead-response work. The workflows are step-heavy by nature. Punishing complexity with per-step billing pushes you to build worse automations, and worse automations lose leads.
The other cost nobody prices in: engineering time. Self-hosted n8n is free in licence terms and not free in reality. Somebody has to run the server, handle upgrades, watch queue health and restore backups. If you do not have that person, pay for n8n Cloud or use Make. A broken automation nobody is monitoring is more expensive than any subscription.
Which platform handles WhatsApp lead follow-up best?
WhatsApp is where the platform choice stops being academic.
Portal leads from Bayut, Property Finder and Dubizzle do not arrive in a tidy queue. They arrive as email notifications, webhooks, CRM records or all three, in several formats, at every hour of the day and night, often from the same buyer enquiring on four listings. Buyers routinely message several agencies at once, and the Harvard Business Review study "The Short Life of Online Sales Leads" found firms that responded within an hour were roughly seven times more likely to qualify a lead than those that waited even slightly longer. Speed is the product. We wrote more about that in our post on why lead response time decides Dubai property deals.
A real WhatsApp follow-up system therefore needs four things:
- Ugly input handling. Parsing inconsistent email bodies and webhook payloads. This means custom code, not a dropdown.
- Conversation state. Knowing whether this person already replied, what they asked, and which agent owns them.
- Reply understanding. Telling "not interested" apart from "send me the floor plan" apart from "call me tomorrow at 4".
- Timed sequences. Nudges over days, that stop the moment a human takes over.
Zapier can do a one-way notification. It struggles with state and multi-day sequences without stacking on extra tools. Make can do the whole thing, and we have built working WhatsApp flows in Make, but state management gets awkward and the scenario grows hard to hand over. n8n handles all four cleanly: the HTTP node talks straight to the WhatsApp Cloud API, the Code node normalises whatever the portals throw at you, the AI agent nodes classify replies with memory attached, and Wait nodes plus queue mode handle multi-day sequences without a cron hack.
We built our first lead-response and AI-agent systems for visa and immigration companies, where the shape of the problem is identical: high enquiry volume, WhatsApp-first buyers, and a small team that cannot answer at 2am. That is the engine behind our Dubai real estate WhatsApp follow-up service, and you can see the build patterns in our case studies.
When is Zapier still the right answer?
Often. We recommend it without embarrassment in these cases:
- You have one or two connections and no appetite for maintenance. New form submission to CRM, new invoice to Slack. Zapier will outlive your interest in the problem.
- Your team edits the automation themselves. Non-technical people genuinely understand Zaps. They rarely understand a 60-node n8n canvas.
- You need an obscure app integration that only Zapier has natively and you do not want to write API calls.
What does not work is using Zapier as a workflow engine for anything with real branching or memory. You end up chaining Zaps together, adding a Google Sheet as a fake database, and discovering three weeks later that leads have been silently dropping because a step failed and nothing alerted you. At that point you have built a fragile version of n8n at higher cost.
Make sits in the middle and is a good default for operations teams who want visual control and no server. If you already run Make and it works, we would not migrate you for the sake of it.
How do you migrate without breaking what already works?
The mistake is turning the old system off first. Do this instead:
| Step | What you do | Why |
|---|---|---|
| 1 | Write down every workflow you actually rely on | Most accounts have half-broken Zaps nobody remembers building |
| 2 | Rebuild the highest-volume one first | Biggest cost saving, fastest proof |
| 3 | Run both in parallel for a week | You compare outputs instead of guessing |
| 4 | Add failure alerts before cutover | Silent failure is the real risk, not migration |
| 5 | Retire the old workflow, keep it disabled for a month | Cheap insurance |
Two extra rules. Log every run somewhere you can query, because "did the lead get a message?" should never be a guess. And decide up front who owns the system after launch. Automation is not a project you finish; portals change formats, WhatsApp templates get rejected, APIs deprecate. Either you have someone maintaining it or you buy that as part of the service. More on how we work and who we are on our about page.
What we would tell a business owner in one line
If your automation is a straight line and low volume, Zapier. If it is branchy and visual and mid volume, Make. If it involves AI, custom APIs, WhatsApp conversations or real volume, n8n, and pay for cloud hosting unless you have an engineer. Choose on the shape of the work, not on which logo you have heard of.
FAQ
Is n8n free?
The n8n community edition is free to self-host under a fair-code licence, and you can run it on a small server indefinitely. It is not free in effort: you handle updates, backups, monitoring and scaling yourself. n8n also sells a managed cloud plan, which is what we recommend for most businesses that do not have technical staff.
Can Zapier send WhatsApp messages?
Yes, through third-party WhatsApp Business API providers and their Zapier integrations, so simple one-way notifications are straightforward. Where Zapier struggles is two-way conversation: tracking replies, understanding what a buyer said, and running multi-day follow-up sequences that stop when a human steps in. For that we use n8n talking directly to the WhatsApp Cloud API.
Is Make.com cheaper than Zapier?
Generally yes for the same workflow, because Make charges per operation and its operations are cheaper than Zapier tasks, so multi-step scenarios cost less. n8n can be cheaper again at high volume because it bills per workflow execution rather than per step. Check current pricing on each vendor's site before deciding, since all three change tiers regularly.
Which platform is best for AI agents?
n8n, clearly. It has native AI agent nodes with memory, tool calling and vector store support, plus a code node for anything the nodes do not cover, so you can build an agent that reads a WhatsApp reply, decides what it means and picks the next action. Zapier and Make both offer AI steps, but they are better suited to single calls like summarising text than to agents that hold a conversation.
How long does it take to build a WhatsApp lead follow-up system?
A working first version that captures portal leads and sends an instant WhatsApp reply usually takes a couple of weeks, including WhatsApp Business API approval, which is often the slowest part. Reply classification, agent handover rules and multi-day sequences get layered on after that, once you have seen real conversations. Building it all before any leads flow through is how you end up with rules that do not match reality.