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

If you're building a GTM stack in 2026, you'll hit the same question every ops-minded founder hits: should we use n8n or Make?

Both tools connect your apps. Both build multi-step workflows. Both promise to replace the manual glue work that burns hours every week. But they're built for fundamentally different teams, and picking the wrong one means paying too much, hitting technical walls, or rebuilding everything in 12 months.

This guide gives you the direct comparison. Pricing, integrations, AI capabilities, real GTM use cases, and a clear decision framework by stage.

n8n vs Make: Quick Comparison

The short version: Make is plug-and-play. n8n is build-and-own.

What Is n8n?

n8n (pronounced "n-eight-n") is an open-source workflow automation platform founded in 2019. It's built for technical teams that want complete control over their automation infrastructure.

You self-host it on your own server (free forever), or use the managed cloud version. Either way, you pay per workflow execution, not per step. That single pricing decision changes everything for complex workflows.

Key n8n stats:

• Raised $180M Series C in October 2025 at a $2.5B valuation, led by Accel with participation from NVIDIA's venture arm (NVentures)
• 230,000+ active users and 3,000+ enterprise customers as of early 2026
• 10x revenue growth and 6x user growth in 2025
• Over 80% of workflows built on n8n now embed AI agents (Accel, 2025)
• 174,100+ GitHub stars
• $40M+ annual recurring revenue

n8n's Series C positioned it squarely as an AI orchestration platform. It's not just automation anymore. It's the connective tissue between your AI models, your tools, and your team.

What Is Make?

Make (formerly Integromat, rebranded in 2022) is a cloud-based visual workflow automation platform. It was acquired by Celonis in 2020 for over $100 million.

Make operates through "scenarios" — visual flowcharts where you drag modules onto a canvas and watch data flow between them. Each individual action within a scenario consumes a "credit" (operation). Your plan determines how many credits you have per month.

Key Make stats:

• 3,000+ native app integrations
• 45,000+ community members
• SOC 2 Type II + ISO 27001 certified
• 4.7/5 on G2, 4.8/5 on Capterra
• Free tier: 1,000 ops/month
• Starter plan: $10.59/month (10,000 ops)

Make's strength is its visual interface. Non-technical operators can build powerful conditional workflows without touching code. For marketing ops, simple GTM glue, and agency use cases, it's hard to beat.

The Pricing Reality

This is where most comparisons mislead you. Every platform uses different units, which makes comparison confusing by design.

Make charges per operation. Every step in a workflow counts as one credit. Filter data? Credit. Format a date? Credit. Loop through 100 records? 100 credits. Complex iterative workflows can burn through credits fast and trigger unexpected billing.

n8n charges per workflow execution. Run a 20-step workflow once = 1 execution. Process 10,000 rows in memory, filter, map, and output — that's still 1 execution.

Here's what this means in practice:

Scenario: A lead enrichment workflow that runs 5,000 times per month with 8 steps each.

• Zapier: 8 steps x 5,000 runs = 40,000 tasks. Professional plan ($49/month) covers only 2,000 tasks. You'd need the $249+/month plan.
• Make: 8 ops x 5,000 runs = 40,000 ops. Core plan ($10.59/month) includes 10,000. You'd need the $29/month plan and would still blow through the allowance.
• n8n cloud: 5,000 executions. Starter plan (€24/month) includes 2,500 executions. Pro plan (€60/month) covers 10,000.
• n8n self-hosted: $5/month VPS. Unlimited executions. Zero licensing cost.

For high-volume GTM workflows, n8n wins on cost at scale. For low-volume simple automations, Make's $10.59/month entry tier is hard to beat.

n8n Pricing Tiers (Cloud, 2026)

• Community (self-hosted): Free forever, unlimited workflows and executions
• Starter: ~€24/month — 2,500 executions/month, 5 active workflows
• Pro: ~€60/month — 10,000 executions/month, 15 active workflows
• Enterprise: Custom pricing — unlimited, SSO, advanced permissions

Make Pricing Tiers (2026)

• Free: $0 — 1,000 ops/month, 2 active scenarios
• Core: $10.59/month — 10,000 ops/month
• Pro: $18.82/month — 10,000 ops/month + advanced features
• Teams: $34.12/month — 20,000 ops/month + team features
• Enterprise: Custom

Integrations: Depth vs Breadth

Make has the wider native library: 3,000+ pre-built app integrations. If your tool is mainstream, there's likely a Make module for it. HubSpot, Salesforce, Slack, Google Workspace, Shopify, OpenAI — all covered with polished, maintained modules.

n8n has 1,500+ native integrations, but compensates with an HTTP Request node that connects to any API with a few clicks. If n8n doesn't have a native node for your tool, you build a quick custom HTTP call. For technical teams, this is no barrier at all.

For non-technical GTM teams who want to plug tools together without thinking about API calls, Make's broader library is a genuine advantage.

AI Capabilities: n8n's Clear Lead

This is the area where n8n has pulled decisively ahead in 2026.

n8n has 70+ dedicated AI nodes, including native LangChain support, RAG (Retrieval Augmented Generation) pipeline building, LLM hosting integrations, and full AI Agent node support. Building a workflow that takes an inbound lead, enriches it with GPT-4o, scores intent, and routes to HubSpot — that's a few nodes in n8n.

Make has added AI scenario capabilities, but leans heavily on external tools. For teams running AI-powered GTM workflows, n8n's native AI architecture is a material advantage.

80% of workflows on n8n now embed AI agents (Accel, 2025). That number reflects why NVIDIA invested in the platform. AI orchestration, not just task automation, is n8n's core identity in 2026.

For Make, the AI story is more about connecting to AI tools (ChatGPT, Claude, Perplexity) via API than natively orchestrating them.

GTM Use Cases: Where Each Tool Wins

n8n Wins For:

1. AI-powered lead qualification and routing Build a workflow that captures a webhook lead, sends the data to OpenAI for intent scoring, routes high-intent leads to HubSpot with a priority flag, and alerts your sales Slack channel — all in one execution. n8n's Code Node lets you add custom JavaScript logic for complex scoring rules without workarounds.

2. High-volume data enrichment pipelines If you're processing thousands of leads through Clay, Apollo, or custom enrichment APIs, n8n's execution-based pricing means you pay the same whether your workflow has 5 steps or 25 steps. Make would charge for each individual step, making complex enrichment expensive fast.

3. Custom GTM workflows with code GTM engineers running signal-based outreach workflows, clay + n8n lead pipelines, or multi-CRM sync jobs benefit from n8n's unrestricted JavaScript/Python execution. You can write production-grade code inline, handle edge cases, and build workflows that would require heavy workarounds in Make.

4. Data privacy-sensitive workflows If your leads contain personal data subject to GDPR or SOC 2 requirements, self-hosted n8n keeps everything on your infrastructure. No third-party cloud sees your CRM data. For healthcare, fintech, or EU-regulated businesses, this is not optional.

Make Wins For:

1. Non-technical marketing ops A marketing ops manager building a Typeform-to-HubSpot workflow with Slack notifications doesn't need to write code. Make's visual canvas makes it intuitive. The animated data flow helps non-technical users understand what's happening at each step.

2. Simple GTM glue at low volume If you're running 10 automation scenarios with a few hundred runs each month, Make's Core plan at $10.59/month is excellent value. n8n cloud starts at €24/month, and self-hosting requires server setup.

3. Agency and client work Marketing agencies managing automations for multiple clients benefit from Make's polished interface and easy scenario sharing. The visual representation of data flows makes it easy to explain workflows to non-technical stakeholders.

4. Quick turnaround on simple workflows Make's onboarding is faster. If you need a working automation in an hour without touching a terminal or API doc, Make wins.

The Make vs n8n Cost Math for GTM Teams

Let's model a typical seed-stage startup with a GTM automation stack:

Workflows:

• Lead capture from website form to HubSpot (500 runs/month, 6 steps each = 3,000 ops)
• Weekly contact enrichment from Apollo (1,000 contacts, 5 steps = 5,000 ops)
• CRM-to-Slack alerts for hot leads (200 runs, 4 steps = 800 ops)
• Email sequence trigger from HubSpot deal stage change (300 runs, 5 steps = 1,500 ops)

Total monthly: ~10,300 operations / ~2,000 workflow executions

• Make: 10,300 ops puts you just over the Core plan. You'd need the Pro plan at $18.82/month.
• n8n cloud: 2,000 executions fits on the Starter plan at €24/month (~$26/month).
• n8n self-hosted: $5/month VPS. Total cost $5/month.

At seed stage, the gap is small. At Series A, when workflows get more complex and run more frequently, the self-hosted n8n option becomes dramatically cheaper.

n8n and Clay: The GTM Engineer's Stack

One of the most common GTM stacks emerging in 2026 combines Clay for enrichment and n8n for orchestration.

Clay handles the data side: waterfall enrichment across 150+ sources, Apollo lookups, LinkedIn scraping, email verification. n8n handles the workflow side: webhook intake, CRM sync, error handling, rate limiting, Slack alerts, and retry logic.

Contact data degrades at roughly 30% per year, and 18% of B2B contacts change roles annually. Manual enrichment can't keep pace. Clay and n8n together build a self-healing, signal-led pipeline that stays clean without manual intervention.

For teams building this stack, n8n is the natural choice. Make could technically do it, but n8n's Code Node and execution-based pricing make the implementation cleaner and cheaper.

Security and Compliance

Make has enterprise-grade security baked in: SOC 2 Type II, ISO 27001, GDPR compliance, and SSO on higher tiers. You don't configure this. It ships with the product.

n8n (cloud) is SOC 2 Type II certified and GDPR compliant. n8n (self-hosted) puts security responsibility on you. That's either a feature (you control everything) or a burden (you have to actually secure it), depending on your team's technical capacity.

For B2B SaaS startups with enterprise customers or regulatory requirements, make sure your chosen hosting model meets your security posture.

Which Tool Is Right For Your Stage?

Pre-seed and Seed

Start with Make if your team is non-technical. The $10.59/month entry price, the visual builder, and the 3,000+ integrations mean you can automate your first GTM workflows in a day. You don't need a GTM engineer.

Start with n8n if you have a technical co-founder or engineer who'll own automation infrastructure. Self-host on a $5 VPS, keep costs near zero, and build AI-native workflows from day one.

Series A

At Series A, workflow complexity increases. You're running signal-based outreach, enrichment pipelines, AI scoring, and multi-CRM sync. n8n's execution-based pricing and Code Node give you more flexibility without runaway costs.

If you're already on Make and it's working, stay. Migration is painful and rarely worth it unless you're hitting specific limits.

If you're starting fresh, a GTM engineer on n8n gives you more capability at lower cost.

Series B and Beyond

Most teams at Series B are running both. Clay for enrichment. n8n for orchestration. Make for specific marketing ops workflows that non-technical marketers own.

The tools complement each other. Use Make where visual simplicity matters to business users. Use n8n where technical precision and cost efficiency matter most.

Common Mistakes to Avoid

• Over-building in Make: Make's per-operation pricing punishes iterative, complex workflows. If a workflow has many data transformation steps or large iterator loops, model the cost before building it.
• Underestimating n8n's learning curve: n8n assumes technical fluency. Non-technical users will struggle with expressions, JSON handling, and error management. Assign a technical owner before committing.
• Ignoring self-hosting overhead: n8n self-hosting is free, but it requires server setup, maintenance, upgrades, and monitoring. Factor in the ops cost, not just the licensing cost.
• Migrating prematurely: Switching from Make to n8n mid-growth is painful. Existing workflows must be rebuilt from scratch. Make the right call early.

Where Miniloop Fits

Workflow automation tools like n8n and Make connect your GTM stack. Miniloop runs the content layer on top of it.

While n8n routes leads, syncs your CRM, and triggers your outreach sequences, Miniloop creates the blog content, landing pages, and SEO assets that bring inbound leads into that pipeline in the first place. The two work together: automation infrastructure handles the plumbing, content handles the demand.

For founders at seed stage running lean, Miniloop automates the content side the way n8n automates the workflow side. You don't need a content team any more than you need a RevOps team to configure Make scenarios.

TL;DR

• n8n is the better choice for technical teams, AI-powered workflows, high-volume pipelines, and data privacy requirements. Self-host for near-zero cost.
• Make is the better choice for non-technical teams, simple GTM glue, quick setup, and lower-volume automations. Best value at the $10.59/month Core tier.
• For most seed-stage B2B startups: start with Make if non-technical, n8n if you have engineering resources.
• For Series A+: n8n + Clay is the GTM engineer's preferred stack. Make handles the marketing ops that non-technical team members own.
• Both tools are genuinely excellent. The right answer depends on who in your team owns automation, not which platform has better features on paper.

Further reading: 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 | Best AI SDR Tools in 2026 | How to Automate Lead Qualification