n8n vs Make: Which Automation Tool Is Right for Your GTM Team in 2026?

If your GTM team is automating workflows in 2026, two names keep coming up: n8n and Make. Both connect your apps. Both automate repetitive tasks. But they're built for different teams with different needs.

Pick the wrong one and you'll either hit a billing wall at 5,000 leads per month, or spend two weeks rebuilding something a non-technical teammate could have shipped in two days.

This guide covers the real differences, with specific focus on what matters for GTM workflows: lead routing, CRM enrichment, outbound sequences, and signal-based automation.

The Core Difference

Make is a cloud-native visual automation platform. You drag modules onto a canvas, connect them, and build branching workflows without writing code. It's built for operations and marketing teams that need powerful logic without infrastructure work.

n8n is an open-source, developer-first platform. You can self-host it on your own servers, write custom JavaScript or Python at any step, and build AI agent workflows with native LangChain integration. It charges per workflow execution, not per individual step.

Neither is better in the abstract. The right choice depends on your team's technical capacity, your workflow volume, and where you are in your growth stage.

Pricing: The Number That Actually Matters

The three platforms in this space (Zapier, Make, n8n) all use different billing units, which makes comparison deliberately confusing. Here's how they actually stack up.

Zapier charges per task. Every step in every workflow is a separate task. A 10-step workflow running 1,000 times per month consumes 10,000 tasks. The Professional plan at $49/month only includes 2,000 tasks. You'd need the $249+/month plan.

Make charges per operation. Same principle: every module that runs is an operation. 10 steps, 1,000 runs = 10,000 operations. The good news: Make's Core plan gives you 10,000 operations for $9/month. That's affordable for lean teams.

n8n charges per workflow execution. The entire 10-step workflow running 1,000 times = 1,000 executions, not 10,000. On n8n Cloud, 2,500 executions/month costs €20/month. Self-hosted n8n is free beyond your server costs (typically $6-15/month on a basic VPS).

For a 5-step lead routing workflow running 5,000 times per month:

• Zapier: 25,000 tasks. You need the $249+/month plan.
• Make: 25,000 operations. You need the $29/month plan.
• n8n Cloud: 5,000 executions. You need the €50/month plan.
• n8n Self-hosted: ~$10/month in server costs.

One implementation team reported saving $2,400/month by migrating 15 workflows from Zapier to self-hosted n8n. That's a real number for Series A teams running serious automation volume.

The verdict on pricing: n8n wins decisively for high-volume or complex workflows. Make wins for simple-to-moderate workflows where you want managed infrastructure without dev overhead.

Ease of Use

Make

Make's scenario builder is genuinely approachable. The animated, drag-and-drop canvas shows data flowing between modules in real time. Non-technical ops and marketing teammates can build functional workflows in an afternoon.

The learning curve exists. Routers, filters, iterators, and aggregators require some conceptual understanding. But a RevOps manager with no engineering background can own Make workflows independently after a week of practice.

Make has 3,000+ native integrations covering most SaaS tools your GTM stack includes: HubSpot, Salesforce, Slack, Clay, Apollo, Instantly, and hundreds more.

n8n

n8n uses a node-based canvas that looks similar to Make but assumes technical fluency. The platform uses JavaScript expressions for data manipulation from the very first workflow. Non-technical users will hit walls quickly.

For a GTM engineer or developer, n8n is a different story. The Code Node lets you write full JavaScript or TypeScript at any point in a workflow. You can process 10,000 rows of data, filter and map them, and send a single API call. In Make, that same loop would cost 10,000+ operations.

n8n's native integrations number around 400-500, but it connects to any API via HTTP request nodes, so the practical limitation is minimal for technical users.

Bottom line: Make for ops and marketing-led teams. n8n for GTM engineers and technical founders.

AI Capabilities

This is where the gap is widening fast in 2026.

n8n has invested heavily in AI-native features. The platform includes 70+ AI-focused nodes, native LangChain integration, and support for building multi-step AI agent workflows. You can build a workflow that browses the web, reads a PDF, scores a lead with GPT-4, and sends a personalized email, all within a single n8n canvas.

For signal-based outreach, this matters. Teams are building n8n workflows that pull job change signals from LinkedIn, enrich with company data, run an AI scoring step, and trigger personalized email sequences, all automatically and at $0 per execution on self-hosted deployments.

Make has added AI modules and integrations with 350+ AI-powered apps. Its Make AI Agents feature lets you build shareable agents that work across team workflows. But Make's native AI depth is shallower than n8n. Most serious AI agent workflows on Make require external tools to handle logic that n8n handles natively.

AI verdict: n8n leads significantly for teams building AI-powered GTM workflows.

Security and Compliance

Make is SOC 2 Type II and ISO 27001 certified. All data flows through Make's cloud infrastructure. For most B2B SaaS teams, this is sufficient.

n8n Cloud is SOC 2 Type II certified. Self-hosted n8n keeps all data on your own infrastructure, which matters for teams handling sensitive prospect data, regulated industries, or companies subject to strict data residency requirements like GDPR or CCPA.

For most seed-stage and Series A startups, Make's cloud compliance is fine. For Series B+ teams with enterprise customers who require data sovereignty, n8n self-hosted is the cleaner answer.

GTM Workflows: Where Each Tool Wins

Make Wins For

• Lead routing: Inbound lead comes in from Typeform, gets enriched in Clearbit, scored, and routed to the right sales rep in HubSpot. Visual, fast to build, reliable.
• CRM sync automation: Bi-directional syncs between HubSpot and Salesforce with conditional logic based on deal stage or lead source.
• Marketing ops: Connecting Webflow form submissions to email sequences in ActiveCampaign or Customer.io.
• Reporting automation: Pulling data from multiple sources into a Google Sheet or Notion dashboard on a schedule.
• Slack notifications: Triggering alerts when a deal moves stage, a high-intent lead visits pricing, or a key account goes dark.

n8n Wins For

• High-volume enrichment: Processing thousands of leads per day through multiple enrichment APIs without per-step billing penalties.
• AI-powered outreach: Building multi-step agent workflows that research a prospect, generate personalized email copy with GPT-4, and trigger sequences in Instantly or Smartlead.
• Signal-based automation: Pulling job change signals from LinkedIn, company funding announcements from Crunchbase, and tech stack signals from BuiltWith, then scoring and routing automatically.
• Custom data transformations: Complex joins, deduplication, and filtering logic that would require hundreds of Make operations.
• GDPR-sensitive workflows: Keeping all prospect data on your own infrastructure.

Scaling Costs at Real GTM Volumes

Here's where the math matters for growing startups.

At pre-seed (under 500 leads/month), both Make Free and n8n Free cover you. Start with Make if you're non-technical. n8n if you have a developer.

At seed stage (1,000-5,000 leads/month with 3-5 step workflows):

• Make Core at $9/month (10,000 operations) often covers it
• n8n Cloud Starter at €20/month (2,500 executions) covers it if workflows are under 10 steps
• Self-hosted n8n at ~$10/month covers unlimited volume

At Series A (10,000+ leads/month with complex enrichment workflows):

• Make costs scale toward $29-99/month depending on operation count
• n8n Cloud scales toward €50+/month for high execution counts
• Self-hosted n8n remains flat at ~$10-20/month server costs regardless of volume

At Series B+ (100,000+ executions/month):

• Make and Zapier become expensive. One team reported paying $2,400/month in Zapier costs for workflows that cost $0 in licensing on self-hosted n8n.
• n8n self-hosted is almost always the cheapest option at this scale.

The "Both" Answer

Many GTM teams use Make and n8n together. It's not always an either/or decision.

A common pattern: Make for quick wins and marketing ops workflows built by non-technical teammates. n8n for the technical infrastructure layer: high-volume enrichment, AI agent workflows, and anything touching sensitive data.

Clay sits alongside both as the enrichment layer, pulling from 150+ data providers and passing clean, enriched leads into Make or n8n for routing and sequencing. See our Clay vs Apollo comparison for how that fits.

Which Tool at Which Stage

Pre-Seed and Seed: Start with Make

Speed matters more than scale at this stage. Make's visual builder lets your first marketing hire or ops generalist build and maintain workflows without engineering support. The free tier covers light automation. The Core plan at $9/month handles moderate volume.

Set up: Lead routing from inbound channels to CRM. Email sequence triggers. Slack alerts for high-intent activity. These don't require n8n's power.

Series A: Evaluate n8n for High-Volume Workflows

At Series A, you're running real outbound volume. Enrichment workflows processing 10,000+ leads per month on Make start generating meaningful operation costs. A GTM engineer or RevOps lead comfortable with JavaScript can build self-hosted n8n in a week and eliminate per-execution pricing entirely.

Keep Make for the workflows your non-technical teammates own. Migrate high-volume or AI-powered workflows to n8n.

This is also when signal-based outreach becomes a serious workflow. n8n's AI nodes make it easier to build automated signal-to-sequence pipelines.

Series B+: n8n Self-Hosted as Default

At scale, the cost math is clear. Self-hosted n8n at ~$15/month in server costs handles unlimited workflow executions. The engineering investment to maintain it is justified at this stage.

Enterprise customers often require data residency and compliance documentation. n8n self-hosted provides both. Make's cloud compliance is solid, but data never leaves Make's infrastructure.

Miniloop connects to both tools as the content and inbound layer. When n8n or Make triggers a lead routing or enrichment workflow, Miniloop ensures the content ecosystem driving that inbound traffic is running in parallel: blog posts, social distribution, and SEO content that brings prospects into the funnel before outbound touches them.

Quick Comparison Table

Common Mistakes

Building everything in Make at Series A. Operation costs scale faster than most teams expect. A 10-step enrichment workflow hitting 10,000 leads/month is 100,000 operations. That's $29-99/month and climbing.

Defaulting to n8n without a technical owner. n8n requires someone who can write JavaScript, debug API calls, and manage a server. If that person leaves, workflows break with no one to fix them.

Treating them as competitors. The teams getting the most out of both platforms run Make for business-user workflows and n8n for technical infrastructure. Let each tool do what it does best.

Ignoring Zapier at the beginning. Zapier's 8,000+ integrations and dead-simple setup are genuinely useful at pre-seed when speed is everything and volume is low. Migrate when costs start climbing.

For more on building GTM automation stacks at each stage, see our GTM automation playbook for small teams and the full AI tool stack guide for startups.

TL;DR

• Make is the right choice for non-technical GTM teams, pre-seed to early Series A, running moderate workflow volumes with a need for visual, maintainable automation.
• n8n is the right choice for GTM engineers and technical founders running high-volume or AI-powered workflows, especially at Series A and beyond where self-hosting eliminates per-execution costs.
• Both can coexist: Make for business-user workflows, n8n for technical infrastructure.
• The pricing difference becomes decisive above 10,000 workflow executions per month. At 100,000+ executions, self-hosted n8n is almost always 5-10x cheaper than Make and 20-30x cheaper than Zapier.
• n8n's AI capabilities are significantly stronger for teams building signal-based outreach, lead enrichment agents, and multi-step AI pipelines.

What These Tools Don't Handle

Tools like these handle specific parts of the workflow. But someone still needs to connect them, build the processes, and run the operations.

Miniloop builds the system that ties it all together. We set up the workflows, connect the tools, and run the execution so you don't configure anything—you just run the system.

We're working with a handful of companies right now. Get in touch if that's you.

FAQ

See the structured FAQ section below for common questions about n8n vs Make for GTM teams.

Internal Links

• GTM Automation for Small Teams
• The Lean Startup AI Tool Stack for GTM in 2026
• Clay vs Apollo: Which Is Better for B2B Prospecting in 2026?
• Signal-Based Outreach: How to Use Buying Signals in B2B Sales
• Outbound Sales Automation for B2B Startups
• How to Automate Lead Qualification
• Best AI SDR Tools 2026
• Cold Email Deliverability Guide