Make.com Review: Six Months Running My Entire Content Machine On It

Quick note: some links here are affiliate links, which means I may earn a small commission if you sign up through them, at no extra cost to you. After six months running Make.com daily for two businesses, these insights come directly from hands-on use — no fluff, just my honest experience.

I juggle two businesses alongside a full-time corporate job.

Frankly, that’s only possible because a select few tools quietly do the work I can’t afford to outsource. Make.com tops that list.

Every blog post here, every YouTube video, every social post across six platforms — Make.com is what fires it all off while I’m in a meeting pretending to pay attention. In the background, it’s also running lead-capture and email-sequence campaigns for both businesses.

So this isn’t a review written from a marketing page. I’ve had Make.com running every single day for over six months, across nine live scenarios, and in that time I’ve built with it, broken it, fixed it, sworn at it, and come out the other side recommending it. Here’s the honest version.

What Make.com actually is

Make.com (formerly Integromat) is a visual automation platform. In plain English, it connects the apps you already use and automatically passes information between them, so you stop doing the same manual tasks over and over.

You build scenarios — Make’s word for workflows — by dragging modules onto a canvas and wiring them together. One module watches for a trigger, like a new blog post or a form submission. The next ones act on it: generate an image, post to Facebook, and add a subscriber to your list.

The tool most people compare it to is Zapier, and we’ll get to that fight properly later. The short version: Make is more powerful and far cheaper, but it asks more of you up front.

Who’s it for? Anyone drowning in repetitive digital busywork — solopreneurs, creators, small business owners — who’s willing to put in a bit of setup now so they never have to do that busywork again.

How I’ve actually used it

This is the part most reviews skip, so let me be specific about what ‘tested’ means here.

I’ve run Make.com daily for over six months. I have nine live scenarios — six for this site, and another three for a second business I run in a completely different field. Between them, they handle content distribution, lead capture, and email automation, day in and day out.

The big one is my content machine. When I publish a blog post, a single scenario picks it up and spreads it. It generates a custom YouTube thumbnail and a video, then tailors and posts the content to Facebook, LinkedIn, and Pinterest, and — through Buffer — to X and Threads. Six destinations, each in its own format, from one trigger.

The clever part isn’t the posting. It’s the very first step that fires a detailed AI prompt, writing platform-specific captions, descriptions, and image instructions for every channel at once. LinkedIn gets a professional tone, Pinterest gets keyword-rich text, and the thumbnail gets its own heading and byline. One blog post goes in; six properly-tailored posts come out.

I also use Make to catch leads from my Facebook ads, drop them straight into MailerLite, and kick off an email nurture sequence that eventually rolls those people into my weekly broadcast. The second business runs a similar play: a PDF lead magnet on each blog post captures emails, fires a sequence with an offer, and moves subscribers into a monthly newsletter.

Here’s the honest truth about how I built all of this. I’m not a developer. Six months ago, I didn’t know what JSON was, never mind how to parse it or structure data. What I had was Claude. I’d describe the outcome I wanted, share screenshots as I went, and let Claude handle the technical translation. That partnership is the single biggest reason any of this exists — and it’s the thing I’d tell anyone considering Make to sort out first.

What makes it genuinely good

The flexibility is the headline. Make ships with hundreds of ready-made app connections, but the moment it doesn’t have the one you need, you can drop in a raw HTTP module and talk to almost any service directly. That’s how my scenario calls an AI model to write all those captions — there’s no off-the-shelf ‘make my social posts clever’ button. I built it because Make let me.

The router is the other star. A single trigger can branch into a dozen paths at once — post here, upload there, store this, skip that — all running in parallel from one scenario. Watching a blog post fan out to six platforms simultaneously genuinely doesn’t get old.

And it’s modular in the way that counts: when one piece fails, you swap it without rebuilding everything around it. When my image host started buckling (much more on that disaster shortly), moving to a new one was a single-module change, not a teardown. That swappability has rescued me more than once.

Add the visual canvas — you can see your entire automation laid out, follow the data through it, and spot exactly where things break — and you have a tool that feels powerful rather than fiddly, once you’re past the initial climb.

Where it frustrated me

Let’s not pretend it’s all smooth. Two honest gripes, and one full-blown saga.

First, the learning curve is real, and it’s steep. This is not point-and-click automation. The router, the HTTP modules, JSON, data stores — none of it is beginner-friendly, and there were evenings I sat staring at an error message with no idea what it wanted from me. Without Claude talking me through it, I’d have quit in week one. Go in expecting to work for it.

Second, the credit model. Make charges by ‘operations’ — roughly, every individual action a scenario performs — and at my volume, that adds up fast. I run the full machine every single day, and in busy months, I get close to my 20,000-operation ceiling. It’s not a dealbreaker, and honestly, it’s remarkable how much work fits into one reasonably priced plan, but if you’re going to lean on it as hard as I do, size your plan accordingly and keep half an eye on the meter.

And then there was the thumbnail saga.

Where it nearly broke me: the thumbnail saga

Every long-form YouTube video on this blog gets a custom thumbnail built automatically inside the scenario — heading, byline, the right 16:9 crop, all of it. For months, one module handled that job by stashing the image on a free hosting service called imgbb.

It worked beautifully. About half the time.

The other half, the scenario fell apart at that exact step. I’d restart it, and it’d usually go through — until the next time. Then the failures got more frequent, and ‘ad hoc’ stopped being a charming quirk and started being a tax on my morning.

So I did what I now do with every Make problem: I opened Claude, explained what was happening, and started feeding it screenshots. The diagnosis came back fast — imgbb was hitting capacity, and I’d be better off on Cloudinary. Claude walked me through the switch, and the failures vanished. Rock solid, every single run since.

One catch. The new thumbnails came out zoomed in — the heading and byline crisp, but the image behind them cropped so tight you could barely tell what it was. Claude and I spent a good few hours wrestling Cloudinary’s transformation settings, trying to win the framing back. Eventually, we both metaphorically put our tools down and called it a day.

You can see the result at the top of these very posts. The text reads perfectly; the picture’s a touch claustrophobic.

And that’s the real lesson. Make will happily let you and Claude chase a problem to the ends of the earth — but at some point, you make the call that near enough is good enough, in some scenarios anyway. Pardon the pun.

What it costs, and whether it’s worth it

I’ll keep this simple, because value is where Make really pulls ahead.

There’s a genuinely useful free tier to learn on. Paid plans scale by the number of operations you need, and even running as hard as I do — every day, full machine — the plan I’m on costs a fraction of what the same workload would on Zapier. That cost gap is exactly why I left Zapier in the first place: it was simply too expensive for the volume I was pushing.

Make renamed ‘operations’ to ‘credits’ in August 2025 — one credit per standard action. All paid tiers start at 10,000 credits; you scale up with credit packs (extra packs run roughly 25% more than in-plan credits, and annual billing saves around 15%). Always check Make’s pricing page for current numbers.

Is Make.com worth it? Absolutely — if you’re managing a heavy content workflow, need reliable automations, or want to replace repetitive manual tasks. For anyone juggling multiple projects or running a business solo, Make.com delivers more value for its cost than any other tool I’ve tried. If you need simple automations with minimal setup, another platform might better suit your needs. But for power, flexibility, and budget, this is the clear winner.

Make.com vs Zapier — the honest comparison

Everyone asks, so here it is straight.

Zapier is easier. The interface is friendlier, the setup is gentler, and if you want simple A-to-B automations without thinking too hard, it’ll get you there faster. You’ll just pay handsomely for the privilege.

Make is more powerful and dramatically cheaper. The router, the parallel branching, the raw HTTP access — Make does things Zapier makes difficult or expensive, and it does them for a fraction of the price. The trade-off is complexity: you’ll work harder to set it up.

(For the record, I also trialed AppyPie Automate on price. Reasonable cost, but buggy and badly supported, and it didn’t survive the month. Make won that comparison too.)

My honest take: if you’re not technical and you flatly refuse to pair with an AI assistant, Zapier might genuinely be the better call despite the cost. But if you’re willing to climb a little — ideally with Claude as your co-pilot — it gives you more power and keeps more of your money. I tried both. I’m on Make, and I’m not looking back.

The verdict

Make.com does the work of a small team and charges like a side tool. After six months running my whole content machine through it every single day, across two businesses, I’d swap out almost anything else in my stack before I’d give this up.

The honest catch is the learning curve. This isn’t point-and-click automation, and on a hard day you’ll feel it. But hand the technical heavy lifting to Claude, and there’s very little the two of you can’t build.

Recommended — and not lightly.

Frequently asked questions

Is Make.com hard to learn?

Honestly, yes — more so than Zapier. It’s powerful, and that power comes with a learning curve. The shortcut is to build it alongside an AI assistant like Claude: describe what you want, share screenshots when you’re stuck, and let it handle the technical parts. That’s exactly how I built everything here with no development background.

Is Make.com cheaper than Zapier?

Considerably, especially at higher volumes. Make charges by operations and packs far more into each plan. I switched from Zapier specifically because it became too expensive for the amount I was running.

Do I need to know how to code?

No, but you’ll run into concepts — JSON, structured data, HTTP requests — that feel like coding. You don’t need to understand them deeply if you’ve got an AI co-pilot translating for you. I didn’t know what JSON was six months ago.

What’s the real difference between Make and Zapier?

Zapier is simpler and pricier; Make is more powerful and cheaper, with a steeper learning curve. Make’s router and raw HTTP access let it do things Zapier struggles with. You’re trading ease for capability and cost.

Can Make post to all my social platforms?

Mine does — it posts to Facebook, LinkedIn, and Pinterest, reaches X and Threads through Buffer, and handles YouTube, all from a single trigger. If a platform isn’t natively supported, an HTTP module or a tool like Buffer usually bridges the gap.

Every one of those scenarios runs on data it doesn’t collect itself. That comes from Windsor.ai, which I reviewed separately — the connector feeding Search Console and GA4 numbers into the reports Make then distributes.