Make
Visual workflow automation that connects 1000+ apps without coding—critical infrastructure for teams drowning in manual marketing tasks.
AI Marketing Automation · Freemium: Free tier (1,000 ops/mo), Standard ($9.99/mo), Pro ($18.99/mo), Business ($299/mo), Enterprise (custom)
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Overview
Make (formerly Integromat) is a no-code automation platform that lets marketing teams build complex workflows by connecting apps visually. Unlike traditional marketing automation platforms that focus on email and campaigns, Make operates as a universal connector layer—it can orchestrate actions across your entire martech stack, from CRM to analytics to content tools. The platform uses a visual scenario builder where you drag connectors between app modules, set conditions, and trigger actions based on data flows. It's fundamentally different from Zapier in philosophy: Make emphasizes powerful data transformation, conditional logic, and complex multi-step workflows rather than simple point-to-point integrations.
The genuine strategic value lies in workflow complexity and data transformation capabilities. Make excels when you need to: aggregate data from multiple sources before pushing to your CRM, conditionally route leads based on scoring logic, transform data formats between incompatible systems, or create approval workflows that span departments. The platform includes built-in HTTP modules, JSON parsing, and array handling—meaning you can manipulate data mid-workflow without external tools. For marketing teams managing complex customer journeys across fragmented systems, this eliminates the need for custom development or expensive middleware. The visual interface is genuinely intuitive once you understand the module-based paradigm, and the community marketplace offers pre-built templates for common marketing scenarios.
However, Make demands a steeper learning curve than competitors and isn't the right choice for simple integrations. The free tier (1,000 operations/month) is genuinely useful for testing but becomes restrictive at scale—a single complex workflow can consume hundreds of operations monthly. Pricing jumps significantly at the Business tier ($299/month), making it expensive for small teams with basic needs. The platform's strength in data transformation becomes overkill if you're just syncing contacts between two systems. Best fit: mid-market B2B teams with 5+ marketing tools, complex lead qualification logic, or data enrichment requirements. Skip it if you need simple Slack notifications or basic email-to-CRM syncing.
Key Strengths
- +Exceptional data transformation capabilities with JSON parsing, array handling, and conditional logic built directly into workflows—eliminates need for external middleware or custom code
- +Massive app ecosystem (1000+ integrations) with native connectors to Salesforce, HubSpot, Marketo, and lesser-known tools, plus HTTP modules for custom APIs
- +Visual scenario builder is genuinely intuitive for non-technical users once learned; community templates accelerate time-to-value for standard marketing workflows
- +Operations-based pricing model scales efficiently for high-volume workflows; Business tier includes priority support and advanced features like webhooks and custom modules
- +Excellent for multi-step approval workflows and conditional routing; handles complex B2B scenarios like lead scoring, territory assignment, and account-based marketing orchestration
Limitations
- -Steep learning curve compared to Zapier—the module-based paradigm and operation counting require training; free tier insufficient for testing complex workflows at scale
- -Pricing jumps dramatically at Business tier ($299/mo); standard and pro tiers become expensive quickly with operation-heavy workflows, making ROI unclear for small teams
- -Support quality inconsistent; community forum active but official support response times slower than competitors; limited phone support except at Enterprise tier
- -Error handling and debugging can be opaque; failed operations don't always provide clear logs, making troubleshooting time-consuming for complex 20+ step workflows
- -Data retention and compliance documentation less transparent than competitors; audit trails limited on lower tiers, creating risk for regulated industries handling PII
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Make — Frequently Asked Questions
What marketing tasks can AI automate?
AI can automate 40-60% of marketing tasks, including email campaigns, social media posting, content creation, lead scoring, ad optimization, customer segmentation, reporting, and personalization. Most CMOs report saving 10-15 hours per week per team member using AI automation tools.
Read full answer →How to choose the right AI marketing tools?
Evaluate AI marketing tools across 5 key dimensions: your specific use case (content, analytics, personalization), integration with existing martech stack, cost vs. ROI, ease of implementation (days vs. months), and vendor stability. Start with a pilot program in one department before full rollout.
Read full answer →How much time does AI save marketers?
AI saves marketers 5-10 hours per week on average, with the largest time savings in content creation (40% of tasks), email marketing (35%), and data analysis (30%). The actual time saved depends on your tech stack, team size, and which marketing functions you automate first.
Read full answer →How to create an AI marketing workflow?
Build an AI marketing workflow in 5 steps: identify repetitive tasks, select AI tools (ChatGPT, HubSpot AI, Jasper), map your process, integrate with existing systems, and test with one campaign before scaling. Most teams see 30-40% time savings within 60 days of implementation.
Read full answer →How to integrate AI tools with your existing martech stack?
Start by auditing your current martech stack, identify 1-2 high-impact use cases (email personalization, lead scoring, content optimization), then choose AI tools with native integrations via APIs or middleware platforms like Zapier. Most integrations take 2-4 weeks and cost $500-$5,000 depending on complexity and data volume.
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