Zapier vs Make (Integromat): I Ran Both for 6 Months on Real Marketing Workflows — Here’s What I Found

The Problem That Made Me Test Both

The breaking point wasn’t a crash or a missing feature. It was a Zapier bill. One Zap — a single lead routing workflow for one client — was burning through 400+ tasks per month. That’s a client on HubSpot sending form submissions to Google Sheets, triggering a Slack notification, and tagging them in Mailchimp. Four steps. Repeat for every lead. At Zapier’s task-based pricing (currently $19.99/month for 750 tasks on the Starter plan, $49/month for 2,000 on Professional), one moderately busy client was consuming more than half our monthly quota. Scale that across three clients with overlapping workflows and you’re suddenly paying $99–$299/month for automations that feel like they should be free.

Our stack at the time was genuinely painful: Mailchimp for email campaigns, HubSpot as the CRM (free tier, which means constant friction), Google Sheets as the de facto database because nobody wanted to pay for a real one, and Slack for everything. Zapier was the duct tape. We had 14 active Zaps across three clients, two of us maintaining them, and zero documentation because “it’s just Zapier.” The thing that caught me off guard was how fast Zapier’s task count multiplies when you’re doing conditional logic. A Zap with a filter step still counts the task even when the filter blocks the action. So a high-volume client with lots of unqualified leads was burning tasks on contacts we were explicitly trying to ignore.

I switched to Make (formerly Integromat) mid-project on one client’s lead nurture workflow — not at a clean restart, but right in the middle — which meant running both tools in parallel for about six months. That was accidental, but it turned out to be the most useful thing I did. Make’s pricing model is fundamentally different: it counts operations, not tasks. One scenario (Make’s word for a workflow) can have 10 modules, and each module execution is one operation. At first that sounds worse. But Make’s free tier gives you 1,000 operations per month, and the Core plan at $9/month gives you 10,000. The math flipped hard in our favor once I understood how to structure scenarios efficiently — specifically by using Make’s router module to handle branching instead of building separate Zaps for each condition.

Here’s the concrete difference on our lead routing workflow. The Zapier version was three separate Zaps (HubSpot → Sheets, Sheets → Mailchimp tag, Mailchimp → Slack) because multi-step conditional logic on Zapier’s lower tiers is awkward to maintain. Each lead touching all three Zaps cost 3 tasks. At 150 leads/month per client, that’s 450 tasks just for one client’s routing. The Make equivalent was a single scenario with a router: one trigger (HubSpot webhook), one Google Sheets module, one router with two paths (qualified vs. unqualified), Mailchimp and Slack modules on the qualified path only. Total operations per lead: 4–5 depending on path. But unqualified leads only consumed 3 operations instead of 3 tasks, and we weren’t wasting quota on the Slack notification they shouldn’t have triggered. For a broader look at the tools that actually save time, check out the Ultimate Productivity Guide: Automate Your Workflow in 2026.

The six months of parallel testing taught me something I didn’t expect: Zapier is genuinely faster to set up for simple, linear workflows where you know exactly what you need. If a client asks for “when this HubSpot contact is created, add a row to Sheets and post to Slack,” Zapier wins on setup time by 10–15 minutes because the UI is more forgiving and the error messages are actually human-readable. Make’s interface is powerful but it shows you everything at once — the scenario canvas looks like a flowchart tool, which it basically is — and that visual complexity has a learning curve. I watched my second dev spend 40 minutes on a Make scenario that would have taken him 20 in Zapier, purely because he kept second-guessing the module order. The honest trade-off: Zapier is faster to learn, Make is cheaper to run at any meaningful volume, and neither of them has good enough documentation for edge cases involving HubSpot’s API rate limits.

What Workflows I Actually Used to Compare Them

The Three Workflows I Ran on Both Tools

I picked these three workflows deliberately — not because they’re fancy, but because they cover the three structural archetypes you’ll hit in almost every small business marketing setup: a straight linear trigger chain, a conditional branching flow, and a scheduled aggregation job. If a tool handles all three cleanly, it can handle most of what you’ll throw at it. If it chokes on one, you need to know that before you’ve built 12 automations on top of it.

Workflow 1: Facebook Lead Ads → HubSpot CRM → Slack → Google Sheets

This is the bread-and-butter linear trigger. Someone fills out a Facebook Lead Ad form, a contact record gets created or updated in HubSpot, a Slack notification fires to the sales channel, and a row gets appended to a Google Sheet for reporting. Four steps, one trigger, no conditions. Sounds simple — and it mostly is — but the Facebook Lead Ads connector is where both tools showed their first cracks. The thing that caught me off guard was that Facebook Lead Ads requires a real submitted test lead to test the trigger properly; you can’t just paste in fake JSON. Both Zapier and Make (formerly Integromat) have a workaround for this, but Make’s interface makes it much less obvious. I spent 20 minutes in Make looking for the “Send test data” option before realizing I had to use Facebook’s Lead Ads testing tool and trigger the webhook manually.

The HubSpot step also exposed a meaningful difference. Zapier’s HubSpot integration lets you do a “Find or Create Contact” as a single action. Make splits this into a Search module followed by a conditional Router, then a Create module on one branch and an Update module on the other. More steps, more control — but if you’re not used to Make’s Router logic, you’ll wire it wrong the first time. I did. The Google Sheets append at the end was painless on both platforms, though Make’s dynamic column mapping felt more reliable when the sheet structure changed mid-test.

Workflow 2: New Mailchimp Subscriber → Tag by Form Source → Conditional Sequence Trigger

This is where conditional logic enters the picture. The use case: a small business runs three different lead magnets, each with its own Mailchimp signup form. When someone subscribes, you need to tag them based on which form they used, then trigger a different follow-up sequence depending on that tag. In Zapier, you handle this with a Filter step plus a Paths branch (Paths is only available on the Professional plan at $49/month as of early 2025). In Make, you use a Router with filters on each route — and this is included on the free tier and the Core plan at $9/month. That’s not a minor footnote. If conditional logic is central to your workflows, Zapier’s pricing model actively punishes you for it.

The Mailchimp trigger itself behaved differently on each platform too. Zapier polls Mailchimp every 15 minutes on the free and Starter tiers. Make, even on the free tier, lets you use instant triggers via webhooks for supported apps — and Mailchimp supports it. In practice, that meant Zapier’s version of this workflow had up to a 15-minute lag before the tag got applied and the sequence fired. For a welcome email sequence, that lag matters. Make fired within seconds.

Workflow 3: Weekly Typeform Survey → Google Sheets Aggregation → Monday 9am Slack Digest

The scheduled aggregation pattern is the one most tutorials skip, and it’s also the one that breaks most often. The setup: a Typeform survey goes out every Friday, responses trickle in over the weekend, and every Monday at 9am a Slack message should summarize the results — response count, average score on a key question, any open-text responses flagged as negative sentiment. There’s no single trigger event here. You need a time-based scheduler that pulls a batch of data, processes it, and pushes a summary.

Zapier can technically do this with a Schedule trigger plus a Google Sheets “Lookup Spreadsheet Rows” action, but the row lookup is limited to 500 rows and returns them one by one — meaning if you want aggregate math, you’re doing it in a Code step (JavaScript or Python, which requires the Professional plan). Make handles this more naturally. The Google Sheets “Search Rows” module returns all matching rows in a single bundle array, and you can pass that array through an aggregator module to compute sums, averages, and counts natively — no code required. I ended up writing a small script in Zapier’s Code step to replicate what Make did with three built-in modules:

// Zapier Code step — compute average NPS from row array
const rows = inputData.rows.split('||');
const scores = rows.map(r => parseInt(r.split(',')[2])).filter(n => !isNaN(n));
const avg = scores.reduce((a, b) => a + b, 0) / scores.length;
output = [{ average_nps: avg.toFixed(1), response_count: scores.length }];

That code works fine, but it’s extra maintenance surface, and it only runs if you’re on a Zapier plan that includes Code steps. Make’s aggregator approach required zero custom code. That gap influenced my overall opinion more than any marketing copy either company has ever written.

These three workflows weren’t chosen to make one tool look good. They were chosen because if you’re running marketing automation for a small business — capturing leads, nurturing subscribers, and reporting on engagement — you’ll hit all three patterns within the first month. Linear triggers, conditional branching, and scheduled aggregation are the skeleton of practically every marketing automation stack. Seeing how each tool handles the skeleton tells you a lot more than benchmarking exotic edge cases.

Zapier: What It Gets Right and Where It Breaks Down

The Fast Setup Is Real — But Read the Fine Print on Everything Else

I’ll give Zapier full credit where it’s due: the onboarding experience is genuinely good. I connected Facebook Lead Ads to HubSpot in under 10 minutes, including OAuth flows for both apps. No JSON config, no webhook debugging, no reading through three help docs. You pick your trigger app, authenticate, pick your action app, map the fields, and you’re live. For a small business owner who just needs leads flowing into a CRM without calling a developer, that’s a real win. The breadth of native integrations also means you’re rarely stuck writing custom HTTP requests for common marketing tools.

The trigger/action model clicks immediately in your head, and it holds up well for linear workflows. One trigger, one or two actions — totally fine. The moment you need conditional logic, though, you hit a wall. Branching requires Paths, which is locked behind the Professional plan ($49/month as of early 2025). So if you’re on Starter and you want “if the lead source is Google Ads, add them to list A, otherwise add them to list B,” you’re either upgrading or you’re building two separate Zaps with filters, which is ugly and hard to maintain. I’ve seen small teams run five separate Zaps where one branching workflow would’ve done the job.

Here’s the task counting issue that caught me off guard, and it’s not well-documented: Zaps with Filter steps don’t always behave the way you’d expect. In certain configurations — specifically multi-step Zaps where the Filter isn’t the first step — filtered-out records still consume a task. I noticed this when a workflow I expected to use maybe 200 tasks a month was burning through closer to 800. Took me a week of log-digging to figure out it was the filter placement. The official docs have a note buried in the Filter help article, but you won’t see it until you’re already confused by your billing. Always put filters as early in the Zap as the logic allows, and watch your task history during the first week of any new automation.

Multi-step Zaps with Formatter steps are a separate trap. I built a 5-step workflow — trigger, two Formatter steps to clean up phone numbers and normalize a date field, then two write steps into different systems. What I didn’t realize until the invoice came: every Formatter step is its own billable task. That one Zap was consuming 5 tasks per record instead of the 1 or 2 I mentally budgeted. Multiply that across a decent-sized lead gen campaign and you’re burning through your monthly task cap surprisingly fast. If you’re scoping out costs before committing to a plan, manually count every step in your Zap — including Formatters — and that’s your per-record task cost.

Error handling is the weakest part of the product. You get an email notification and a replay button. That’s mostly it. There’s no built-in retry logic with backoff, no alerting to Slack natively on failure, no way to route errored records to a fallback system unless you explicitly build a separate “error path Zap” — which is a real pattern people use but feels like duct tape. For a small marketing team running a campaign over a weekend, a silent failure at 2am that you don’t catch until Monday is genuinely costly. If you’re using Zapier for anything time-sensitive, budget time to build error-handling Zaps alongside your main workflows, not as an afterthought.

The one UI feature that actually saves time is the Zap history view. It’s legitimately well-built. You can click into any run, see exactly which step failed, expand the payload at that step, and see precisely what data came in versus what the app returned. Debugging a broken field mapping takes minutes instead of the guesswork you’d do with a more opaque tool. When a HubSpot contact wasn’t getting created because a required field was blank, I had the root cause in under two minutes just from the history panel. That transparency makes Zapier worth keeping for workflows where the logic is simple but the data quality is unpredictable.

Make (Integromat): What the Learning Curve Actually Looks Like

The canvas is the first thing that stops you cold. Make doesn’t show you a linear list of steps — you get a node graph where every module is a circle, connected by lines, and complex scenarios can look like a circuit diagram. The first time I opened a moderately complex scenario someone had shared with me, I spent five minutes just rotating my mental model before anything made sense. That disorientation is real, but it’s temporary. Around the 90-minute mark something clicks: you stop seeing “steps” and start seeing data flowing between nodes. After that, going back to Zapier’s wizard-style interface feels like reading a recipe when you’re used to seeing a kitchen layout.

The operations pricing model is the thing that bites people hardest and isn’t obvious from the marketing page. Make doesn’t charge per “task” the way Zapier does — it charges per module execution. Build a scenario with 4 modules and trigger it against a single record: that’s 4 operations. Run that same scenario across 500 records in a batch? That’s 2,000 operations. The free tier gives you 1,000 operations/month, which sounds fine until you realize a moderately complex marketing scenario — say, webhook → parse → filter → HTTP request → Slack notify — burns 5 operations per execution. The Core plan at $9/month bumps you to 10,000 operations. Do that math before you build anything non-trivial.

Iterator and Aggregator: The Actual Reason to Switch

This is where Make pulls ahead for marketing automation specifically. Say you’ve got a webhook receiving a JSON payload from your form tool that includes an array of tag IDs for each lead. In Zapier, you’d need a separate Zap just to loop over that array, or you’d hack it with a formatter step. In Make, you drop in an Iterator module, point it at the array, and every downstream module processes each item in sequence — all within a single scenario. Then if you want to recombine the results (say, build a summary string of all tags before writing to your CRM), an Aggregator module collects the iterator’s output back into one bundle. I rewrote a 3-Zap chain into a single Make scenario using these two modules and the maintenance overhead dropped to near zero.

// Example bundle structure hitting your Iterator:
{
  "lead_id": "abc123",
  "tags": ["cold", "webinar-attendee", "q4-promo"]
}

// Iterator splits this into 3 bundles:
// Bundle 1: { "value": "cold" }
// Bundle 2: { "value": "webinar-attendee" }
// Bundle 3: { "value": "q4-promo" }

// Aggregator downstream reassembles:
// "cold, webinar-attendee, q4-promo"

Error Handling Isn’t an Afterthought

Every module in Make has a configurable error directive: Break (stop and create an incomplete execution you can replay later), Ignore (log it, move on), or Rollback (undo the entire execution if the module supports transactions). You can also draw an actual error handler route — a separate branch from a module that only fires on failure. This matters when you’re automating CRM writes or sending transactional emails, because you don’t want a failed API call to silently drop a lead. In Zapier, error handling is basically “the Zap turned off, check your email.” The difference in reliability for anything customer-facing is significant.

The scheduler granularity is a small thing that matters more than you’d expect. Make lets you run scenarios every 1 minute on the Core plan ($9/month). Zapier’s Starter plan floors you at 2 minutes, and you need the Professional plan (currently $49/month) to get to the same place. For most marketing workflows this doesn’t matter — but if you’re syncing form submissions to a CRM and you promised leads a fast follow-up sequence, that difference is real. I’ve had sales ops people notice the lag difference in A/B testing response time scenarios. If near-real-time matters to your workflow, Make wins this one at a lower price point.

Head-to-Head: The Moment One Tool Won for Each Workflow

Lead Routing (Facebook → HubSpot → Slack): Zapier Wins Setup, Make Wins at Scale

I built this flow twice. First time in Zapier — took me about 25 minutes, zero friction. Facebook Lead Ads trigger, map fields to HubSpot contact creation, post a Slack message with the lead’s name and source. Done. The Zap editor’s linear step-by-step UI is genuinely fast for this kind of straight-line workflow. If you’re doing fewer than 1,000 leads a month, you’ll stay comfortable on Zapier’s Starter plan at $19.99/month. The thing that caught me off guard was how quickly that math changes. At ~1,200 leads/month, you’re burning tasks fast — HubSpot creation + Slack post = 2 tasks per lead, so 2,400 tasks monthly. Zapier’s Professional plan jumps to $49/month to cover that. Make’s equivalent scenario costs roughly $9/month on the Core plan and handles 10,000 operations at that tier. Same logic, cheaper ops budget once volume climbs.

Conditional Subscriber Tagging: Make Wasn’t Even Close

This is where Make’s architecture just exposes how Zapier was designed for simpler use cases. The requirement: tag subscribers differently based on which lead magnet they downloaded — four different sources, four different HubSpot tag sets, with some overlap logic. In Make, you drop a Router module after the trigger, draw four branches, set filter conditions on each branch, done. Everything lives in one scenario. One place to debug, one execution log to read.

In Zapier, you have two options: build four separate Zaps (which means four separate trigger checks firing against the same webhook — expensive and messy to maintain) or upgrade to a plan that includes the Paths feature, which starts at the Professional tier. The Paths UI also only allows branching based on a single condition group per path, which gets awkward the moment you have overlapping criteria. I ended up with a Zap that had six Paths and still needed a second Zap to catch edge cases. The Make version was one scenario, one Router, 20 minutes to build.

Weekly Survey Digest: Make’s Aggregator Module vs. Zapier’s Workaround Stack

Every Friday we needed one Slack message summarizing all Typeform responses collected that week — not one message per response, one message total with everything formatted. Make has a built-in Iterator + Aggregator pattern for exactly this. The Iterator loops through an array of Typeform responses, the Aggregator collects them into a single text block, one HTTP module posts it to Slack. The whole scenario runs on a weekly schedule trigger. Clean, self-contained, readable in the scenario map.

Zapier can’t natively aggregate across multiple records in one Zap execution. The workaround I used: a Zap that writes each Typeform response to a Google Sheet row throughout the week, then a second time-triggered Zap that reads all rows from that sheet, formats a summary, posts to Slack, and clears the sheet. That’s two Zaps, a Google Sheet acting as a message queue, and a clear point of failure if the sheet formatting breaks. It worked, but I was maintaining infrastructure that Make made unnecessary.

The Exact Moment I Stopped Treating Make as the Backup Option

A client’s e-commerce platform started sending webhook payloads with nested JSON — order data nested inside a customer object, nested inside a cart object, with a line items array three levels deep. I needed to pull out specific SKUs and route based on product category. In Zapier, the standard module couldn’t parse nested values reliably, so I went to the Code step. That means writing JavaScript, which counts as a task (so it burns your task quota), and debugging it means reading console output in a stripped-down editor with no real variable inspection. The Code step also has a 30-second execution timeout and no way to import libraries.

In Make, I opened the module’s field mapper, typed map(body.cart.line_items[]; item.sku) directly into the field, and it returned the array I needed. Then parseJSON(body.customer.metadata) to extract a nested string that was itself serialized JSON. Both functions are available inline in any field — no separate step, no extra operation cost, no context switch to a code editor. That’s when Make became my default tool. Not because it’s shinier, but because the moment your data gets even slightly complex, Zapier charges you to write code while Make lets you just map it.

Pricing Breakdown (Don’t Trust the Homepage Numbers)

The Free Tier Reality Check

Zapier’s free tier looks reasonable until you try to build anything real with it. 100 tasks/month and 5 Zaps sounds fine on the homepage. Then you realize single-step only means your workflow is: trigger → one action → done. No filters. No formatting steps. No conditional logic. For marketing automation — where a typical “new lead from Typeform → enrich in Clearbit → add to HubSpot → send Slack notification → tag in Mailchimp” workflow is five steps minimum — the Zapier free tier is genuinely a demo environment, not a working tool. I’ve seen small business owners burn two weeks building on it before hitting the wall.

Make’s free tier is a different story. 1,000 operations/month with unlimited scenarios. I prototyped a full lead routing workflow — form submission, conditional branching based on company size, CRM entry, two different email sequences — before spending a cent. That’s a real thing you can show a client or use for your own business while deciding whether to commit. The free tier actually functions as a production environment for low-volume workflows, which is how I ended up switching to it for three separate client setups last year.

The Operations Math Nobody Explains Upfront

Here’s the thing that caught me off guard: both platforms charge per module execution, not per “workflow run.” A 5-module Make scenario costs 5 operations every time it fires. A 5-step Zapier workflow costs 5 tasks every time it fires. On paper, equivalent. In practice, not even close — because Make’s Core plan (check their current pricing page, it shifts) gives you a significantly higher operations ceiling per dollar than Zapier’s Starter tier gives you in tasks. When you’re processing even 500 leads/month through a 6-module scenario, that’s 3,000 operations. On Make Core, that’s a small fraction of your monthly limit. On Zapier Starter, you’re watching a task counter that drains uncomfortably fast.

The branching situation is what really tips the scales for marketing workflows specifically. Zapier locks Paths — their branching/conditional routing feature — behind the Professional tier. That’s a significant jump in price for a feature that’s fundamental to any non-trivial workflow. “If lead source is paid → do X, else → do Y” is not an advanced use case. Make includes conditional routing (routers, filters) in every paid tier including Core. If your workflow needs any logic more complex than “fire every time, same path,” Zapier will push you up a pricing tier faster than their homepage suggests.

Feature Comparison: What the Pricing Tiers Actually Unlock

Feature	Zapier Free	Zapier Starter	Make Free	Make Core
Monthly ops/tasks	100 tasks	Check pricing page	1,000 ops	Check pricing page
Branching/routing	❌ None	❌ Paths not included	✅ Routers included	✅ Full routing
Min. polling interval	15 min	2 min	15 min	1 min
Webhook support	❌	✅	✅	✅
Error handling depth	Basic retry	Basic retry	Break/Resume/Ignore	Full error routes
Native app count	~7,000+	~7,000+	~1,800+	~1,800+

Two things stand out in that table. First, Make includes webhooks on the free tier. Zapier does not. That alone means Make free is useful for real-time triggers from your own apps or form builders, while Zapier free is stuck polling every 15 minutes. Second, Make’s error handling is genuinely more mature. The ability to set up a dedicated error route — where a failed API call triggers a fallback action or a Slack alert instead of silently dying — is something I use constantly. Zapier’s error handling basically amounts to “retry a few times then give up and email you.” For a marketing workflow processing inbound leads, silent failures are a business problem, not just a technical inconvenience.

The app count gap (7,000 vs 1,800) is real but less alarming than it sounds. Make covers every major marketing tool — HubSpot, Mailchimp, ActiveCampaign, Facebook Ads, Google Ads, Typeform, Airtable, Slack, Notion, Shopify. The long tail of obscure apps is where Zapier genuinely wins. If your stack is mainstream, Make’s library is sufficient. If you’re connecting to a niche industry SaaS that nobody else uses, check Make’s app list before committing — and know that the HTTP module can cover most REST APIs anyway, just with more setup work.

Comparison Table: Zapier vs Make for Marketing Workflows

The free tier difference alone should settle this for most small marketing teams before you even look at anything else. Make gives you 1,000 operations and unlimited scenarios on free. Zapier gives you 100 tasks and 5 Zaps. If you’re running a realistic welcome email sequence — trigger on new subscriber, check tag, branch to two different email paths, log to a sheet — you’ll hit Zapier’s 5-Zap ceiling before the week is out. I’ve watched marketers burn through their free Zapier account in a single campaign test. Make’s free tier actually lets you prototype something real.

Feature	Zapier	Make (Integromat)
Free tier limits	100 tasks/mo, 5 Zaps max	1,000 ops/mo, unlimited scenarios
Conditional/branching logic	Paths add-on — paid plans only	Router module, available on all plans including free
Minimum polling interval	2 min (Starter plan)	1 min (Core plan)
Webhooks on free tier	No	Yes
Error handling	Basic email alerts	Per-module directives + dedicated error routes
Learning curve	Low — linear trigger-action model	Medium — visual graph takes adjustment
App integrations	~6,000+ (verify at zapier.com)	~1,000+ (verify at make.com)
Best fit	Quick one-off automations, non-technical marketers	Complex multi-branch workflows, dev-adjacent users

The branching logic situation is the thing that catches people off guard with Zapier. You’ll build a perfectly sensible workflow — say, route a new lead to either a cold outreach sequence or a nurture sequence based on their source UTM — and then discover that Paths, Zapier’s branching feature, is locked behind paid plans. On Make, the Router module is just there. You drag it in, split your flow into two or four branches, add filter conditions on each branch, and move on. I’ve built a five-branch lead routing scenario on Make’s free tier that would have cost me at least $19.99/month just to unlock the equivalent logic in Zapier.

Make’s error handling is a genuine engineering difference, not just a UI polish. In Zapier, if a step fails, you get an email. That’s it. You fix it manually or set up a retry. Make lets you attach an error handler route directly to any module — so if your CRM API returns a 429, you can route that specific error to a wait-and-retry path, log it to a Google Sheet, and send a Slack alert with the actual payload that failed. For marketing workflows where a failed email trigger means a real person fell through the cracks, that granularity matters. The thing that caught me off guard was how much calmer I felt running Make automations in production once I had error routes set up. With Zapier, you’re just hoping the email alert doesn’t land in spam.

The app library gap is real though. Zapier’s ~6,000+ integrations vs Make’s ~1,000+ isn’t just a vanity number. If you’re using a niche CRM, a regional SMS provider, or some obscure analytics tool, Zapier probably has it and Make probably doesn’t. Before you commit to either platform for a specific workflow, go to both sites and search for every app in your stack. I’ve been burned building half a Make scenario before discovering the tool I needed used Zapier’s proprietary connector and Make required a full HTTP module workaround. The HTTP module in Make is powerful — you can hit any REST API directly — but it’s not the same as a pre-built integration with auth handled for you.

When to pick which one

• Pick Zapier if your team includes non-technical marketers who need to build and maintain automations themselves, you’re doing simple linear workflows (form submit → add to CRM → send email), and the apps you need are in Zapier’s library. The linear Zap model is genuinely easier to explain to someone who’s never automated anything.
• Pick Make if you need conditional routing, webhooks without paying, better error visibility, or you’re connecting more than 3-4 steps with data transformation in between. The visual canvas looks complex at first but once it clicks, you can see an entire multi-branch workflow at a glance — something Zapier’s list-based UI genuinely can’t match.
• Polling interval matters more than you think in live campaign contexts. If you’re triggering automations off new form submissions during a webinar or product launch, a 2-minute lag in Zapier vs 1-minute in Make could mean the difference between a timely follow-up and one that lands after the person’s already moved on.
• Webhooks on free is Make’s single biggest advantage for developers. You can have your landing page POST directly to a Make webhook endpoint, parse the payload, branch on its contents, and run a multi-step workflow — all without spending anything. That’s a genuinely useful prototype environment.

When to Pick Zapier

Pick Zapier When Your Marketing Team Owns the Automations

The single biggest reason I reach for Zapier over Integromat (now Make) is team ownership. If the person who’s going to build, debug, and modify these automations six months from now is a marketing coordinator or a social media manager — not you — Zapier wins by default. Make’s visual canvas is genuinely powerful, but handing it to a non-technical user and saying “good luck” is a support ticket waiting to happen. Zapier’s linear step-by-step editor maps directly to how non-developers think about processes: “first this happens, then this other thing happens.” I’ve watched a content manager build a working Typeform-to-HubSpot-to-Slack notification flow in Zapier without asking me a single question. That same flow in Make would have required at least one screen-share session to explain modules, routes, and why the HTTP module needs a JSON body parser upstream.

Before you assume Zapier has the app integration you need and Make doesn’t — or vice versa — actually check both native app libraries. I’ve been caught assuming Make was behind on integrations and wasted time building a webhook workaround, only to find Make added native support months prior. Go to zapier.com/apps and make.com/en/integrations and search directly. That said, Zapier’s app library is broader for niche marketing tools: think GoHighLevel, Beehiiv, Kit (formerly ConvertKit), and a lot of the smaller CRM tools that smaller agencies run on. Make has better depth on the integrations it does cover, but breadth-wise, Zapier still leads for the long tail of marketing SaaS.

For genuinely simple flows — under 3 steps, linear logic, no branching, no data transformation — Zapier’s pricing math actually works out. Their free tier gives you 100 tasks per month across 5 Zaps. The Starter plan at $19.99/month (billed monthly as of early 2025) gets you 750 tasks and multi-step Zaps. If your automation is “new Calendly booking → add to Mailchimp list → send internal Slack alert,” that’s 3 tasks per trigger event. At a few hundred bookings a month you’re staying well inside Starter. Where Zapier gets expensive fast is volume and complexity — once you’re running 10,000+ tasks or need advanced logic, Make’s pricing structure becomes dramatically cheaper. But for a small business running a handful of simple marketing automations? Zapier’s cost is entirely reasonable and the ROI calculation is obvious.

There’s also a legitimate “ship it in 20 minutes” argument for Zapier. I’ve been mid-conversation with a client who needs a lead capture form wired to their CRM before a campaign goes live that afternoon, and Zapier is the tool I open. The auth flow is fast, the trigger/action model is unambiguous, and the test-step feature actually tells you what data is flowing through before you turn the Zap on. Make has a steeper initial orientation cost — the first time you open a scenario canvas, the spatial UI is non-obvious if you’ve never used it. If you’re already familiar with both, this gap closes. But for that first build under time pressure, or when you’re building something someone else will own long-term, Zapier removes enough friction that it’s the pragmatic call.

• Non-technical team maintains it: Zapier’s UI maps to plain-language process thinking. Make does not.
• Niche marketing app integrations: Check both libraries first, but Zapier has broader coverage for long-tail SaaS tools.
• Simple linear flows, low volume: Free tier up to 100 tasks/5 Zaps. Starter at $19.99/month for 750 tasks covers most small business scenarios.
• Time-constrained builds: Zapier’s step editor is faster to navigate cold than Make’s canvas, especially under deadline pressure.
• One gotcha to watch: Zapier counts each action in a multi-step Zap as a separate task. A 4-step Zap firing 200 times burns 800 tasks — do that math before you commit to a plan tier.

When to Pick Make

Pick Make When Your Workflows Have Real Logic in Them

The moment I tried to build a workflow that looped over an array of contacts and sent each one a different message based on their tier, Zapier forced me to either pay for a premium “Looping by Zapier” step or break the whole thing into multiple Zaps that talked to each other via storage. Make handles arrays natively. You drag in an Iterator module, point it at your array, and every downstream module processes one item at a time. No workaround, no extra cost. If your marketing workflow touches lists — subscriber segments, event attendees, CRM contacts that need different treatment based on field values — this alone is reason enough to switch.

Make’s scenario editor has a Router module that does proper branching. You define filters on each branch — contact.plan == "pro" AND contact.days_since_signup > 30 — and each path runs independently. I’ve built flows with four branches off a single webhook trigger where each branch writes to a different sheet, fires a different Slack message, and updates a different field in HubSpot. Zapier has “Paths” but it’s clunkier and counts each path as separate Zap steps against your task limit. In Make, the entire scenario shares one operation count per bundle processed.

On pricing: Make’s free tier gives you 1,000 operations/month and their Core plan is $9/month for 10,000 operations. Zapier’s equivalent (Professional) runs $49/month for 2,000 tasks with multi-step Zaps enabled. The math gets uncomfortable fast when you’re processing a 500-person email list through a 6-step workflow — that’s 3,000 Zapier tasks in one run. In Make, that’s 3,000 operations, but you hit that ceiling at $9/month instead of $49/month. The thing that caught me off guard was that Make counts each bundle through each module, so a 500-contact loop through 6 modules is 3,000 operations — same math, just cheaper per unit.

The error handling is where Make earns its keep for CRM work. Every module has a built-in error handler you can attach — you right-click the module, add an error route, and choose Rollback, Ignore, Break, or Retry. For HubSpot or Salesforce writes specifically, I set Rollback on duplicate-risk operations so if the “create contact” step hits a 409, the whole scenario stops cleanly rather than creating half a record and leaving broken associations. Zapier has error handling but it’s basically “send me an email.” There’s no rollback concept. If you’ve ever spent an hour deduplicating a CRM because an automation partially ran, you understand why this matters.

If you’re a developer or have one nearby, Make’s CLI is actually worth using. Install it with npm install -g make-cli, then authenticate with make login and your API token. From there:

make scenario:export --scenarioId 12345 --output ./scenario-backup.json
make scenario:import --teamId 67890 --file ./scenario-backup.json

This lets you version-control your automations in Git — which sounds like overkill until a junior team member breaks a production scenario and you need to roll back in 30 seconds. The Make API itself is REST with straightforward auth, so triggering scenario runs programmatically or pulling execution logs into a dashboard is a legitimate option. Zapier’s API exists but it’s rate-limited and the scenario export story is basically nonexistent. The Make webhook parsing is also especially better: the built-in JSON parser handles nested objects, arrays, and type coercion without you touching a code module, whereas Zapier sometimes makes you add a “Formatter” step just to extract a deeply nested field.

Rough Edges I Hit That the Docs Don’t Warn You About

The HubSpot Create or Update Contact action in Zapier is the one that burned me hardest. I was building a lead sync workflow — form submission comes in, Zapier pushes it to HubSpot. The Zap ran, reported success, and I moved on. Except the contact wasn’t updated. Turns out, when HubSpot finds a duplicate email match and the merge silently fails on their end, Zapier gets a 200 back and calls it a day. No error, no failed task, nothing in the logs to indicate anything went wrong. I only caught it because I was cross-checking HubSpot manually a week later. The fix I landed on: run a separate Search Contact step first, branch on whether the contact exists, then use either Create Contact or Update Contact explicitly. Annoying extra steps, but at least you control the outcome.

The other Zapier thing that quietly eats your budget: every test run during development counts as a real task. On the free tier you get 100 tasks/month. On the Starter plan ($19.99/month as of early 2025) you get 750. When you’re iterating on a five-step Zap and hitting “Test” fifteen times trying to get the data mapping right, you’ve burned through tasks you didn’t mean to spend. The docs mention this in fine print but don’t flag it as the real cost trap it is. My workaround is to use dummy data from a staging form or webhook tester (like webhook.site) and only use live data for the final validation pass. Not perfect, but it halved my task burn during development.

Make’s Rate Limit Problem Is Genuinely Dangerous to Your Budget

The first time I ran a Make scenario that hit Mailchimp’s 10 requests/second API limit, I watched my operations counter tick down about 400 units in under three minutes. Make’s default retry behavior when it hits a rate limit is aggressive — it doesn’t back off gracefully, it hammers the endpoint in retry loops, and each attempt counts against your operations budget. On the Core plan ($9/month, 10,000 ops), that’s a meaningful chunk gone. The fix is the Rate Limiter module, which you drag into the scenario before your Mailchimp module. Configure it to something like 8 requests per 10 seconds to stay under Mailchimp’s limit with headroom. This is not mentioned in Make’s Mailchimp documentation. You find it by searching the community forums after it’s already cost you.

Rate Limiter settings for Mailchimp:
  Max requests: 8
  Per interval: 10 seconds
  
Place BEFORE the Mailchimp module in your scenario flow.

Make’s Version History Sounds Better Than It Is

Make does keep scenario version history, which I genuinely appreciate — Zapier doesn’t have this at all on lower plans. But rolling back isn’t a button click. You navigate to the scenario’s version history tab, find the version you want, export it as JSON, then import it back as a new scenario or overwrite the existing one. If you go in knowing this, it’s fine. If you assume it works like git revert or a simple “restore” button, you’ll be annoyed when you need it at 11pm. I now keep a local folder of exported JSON snapshots for any scenario I’m actively iterating on — just export before each significant change. Takes ten seconds and has saved me twice.

Google OAuth Tokens: Both Tools, Same Problem

This one affects Zapier and Make equally. Google OAuth connections — Sheets, Gmail, Drive, whatever — will go stale. Sometimes after a password change, sometimes after Google silently rotates something on their end, sometimes after roughly six months of no user activity. The automation just stops. No alert by default unless you’ve set up monitoring. On Zapier, the Zap goes into an error state and you get an email eventually. On Make, the scenario fails on next trigger and logs an auth error, but if nobody checks the logs, it just quietly doesn’t run. I set a recurring calendar reminder every 90 days to open both tools, go to Connections, and manually verify that all Google auth connections show as healthy. Low-tech solution, but it works. Both platforms have a “Test Connection” button — use it proactively, not after a client calls you asking why their leads stopped flowing.

My Current Setup (and Why I Still Use Both)

I run Zapier and Make simultaneously, and I’m not proud of it — but I’m also not going to pretend one tool handles everything cleanly just to give you a tidy recommendation. Here’s the actual split: Zapier handles anything a non-technical account manager might need to touch. If a client’s campaign changes and their account manager needs to swap out a trigger — say, switching from “new lead in HubSpot” to “new row in Google Sheets” — they can do that in Zapier without calling me. The UI is linear, the terminology maps to how non-developers think, and the error messages are readable. Make’s canvas is powerful but it looks like a circuit diagram. I’ve watched smart, capable account managers completely freeze in front of it.

Make gets everything else. Any internal agency workflow — lead scoring, content calendar sync, invoice generation chains — runs on Make. My rule of thumb: if a scenario touches more than two apps, Make wins automatically. The branching logic, array aggregators, and iterator modules that Make provides would require three or four separate Zaps to replicate, and those Zaps would cost real money fast. Make’s free tier gives you 1,000 operations per month; Zapier’s free tier gives you 100 tasks. That gap matters at small business scale. I also route all webhook-based processing through Make. Zapier’s webhook handling works, but Make lets you parse, filter, and transform the payload inside the same scenario — no extra steps, no extra Zap triggers burning your task count.

The pricing reality is what locks most small businesses into this awkward hybrid. Zapier’s Starter plan is $19.99/month for 750 tasks — which sounds fine until you realize a single multi-step Zap counts each action as a separate task. A five-step Zap processing 200 contacts eats 1,000 tasks before you’ve done anything else that month. Make’s Core plan at $9/month gives you 10,000 operations, and multi-step scenarios don’t multiply your operation count the same way. But Zapier supports a longer app list — roughly 6,000+ integrations versus Make’s ~1,000. So if a client runs some niche email tool or a specific scheduling app that only exists in Zapier’s directory, you’re stuck using Zapier for that connection regardless of your preference.

The gotcha I hit early with the hybrid approach: keeping documentation rigorous enough that you don’t forget which tool owns what. I have a simple Notion page that maps each workflow to the tool it lives in, with a one-line note on why. Without that, you end up debugging a broken workflow for twenty minutes before realizing the webhook is firing into Make but the Zap that should receive a downstream signal is also broken — and they’re supposed to be the same pipeline but got split at some point. That kind of mess compounds fast. Treat the hybrid setup like you’d treat two separate codebases — they need a clear interface contract, not just vibes.

If someone forces me to pick one: Make. Full stop. For marketing workflow automation at small business scale — lead nurturing sequences, CRM sync, social scheduling pipelines, reporting aggregation — Make handles the complexity without punishing you financially for it. The honest caveat is that your team needs to invest real time upfront. Budget a few hours learning the canvas, specifically: how modules connect, how the data structure flows between steps (the “bundle” concept trips people up initially), and how to use the built-in HTTP module when a native integration doesn’t exist. That last one is huge — once you’re comfortable hitting an API directly from Make using the HTTP module, you stop caring whether an official integration exists. Zapier has this too, but the Make implementation is cleaner and doesn’t count as extra tasks in the same way. The learning curve is real but it’s a one-time cost, not an ongoing one.

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