Blaze vs Make
Last updated: February 2026 · By AI-Ready CMO Editorial Team
AI Marketing Automation
Strategic Summary
Overview
Blaze AI and Make represent two fundamentally different approaches to marketing automation for enterprise teams. Blaze positions itself as a purpose-built AI marketing platform designed specifically for campaign orchestration, personalization, and real-time customer engagement across channels. Make, by contrast, is a no-code workflow automation platform that excels at connecting disparate marketing tools and systems, treating marketing automation as one use case among hundreds of possible integrations. For CMOs evaluating these tools, the choice hinges on whether you need a dedicated marketing brain or a flexible integration layer.
Blaze AI is built for marketing teams that want AI-driven campaign intelligence baked into the platform itself—predictive send times, dynamic content optimization, and audience segmentation powered by machine learning. The platform assumes you're running sophisticated multi-channel campaigns and need a single source of truth for customer journeys. This is ideal for mid-market to enterprise organizations with dedicated marketing operations teams, substantial content volume, and the need for native AI capabilities without custom development. Blaze's strength lies in reducing the time between insight and execution; you don't need to build workflows—the AI does the thinking.
Make serves a different organizational need: teams that already have a martech stack and need a powerful orchestration layer to connect everything. Make's visual workflow builder and 1000+ pre-built integrations make it the choice for marketing teams that are tool-rich but integration-poor. It's particularly valuable for organizations running campaigns across Salesforce, HubSpot, Shopify, Slack, and dozens of other platforms simultaneously. Make requires more hands-on workflow design but offers unmatched flexibility—you're building the automation logic yourself, which appeals to teams with technical marketing resources or agencies managing diverse client stacks.
Quick Comparison
- AI Capability: Blaze has native, marketing-specific AI; Make requires custom logic or third-party AI integrations
- Setup Complexity: Blaze is faster to deploy for standard use cases; Make requires workflow design expertise but offers deeper customization
- Integration Breadth: Make connects to 1000+ apps; Blaze integrates with major platforms but focuses on marketing-native connections
- Ideal Team Size: Blaze suits 5-50 person marketing teams; Make works for teams of any size but shines with technical operators
- Cost Model: Blaze charges per contact/campaign; Make charges per operation, scaling with workflow complexity
Our Recommendation: Blaze
For most CMOs, Blaze AI wins because it delivers marketing-specific AI intelligence without requiring engineering resources to build workflows. However, Make wins decisively for organizations with complex, multi-system martech stacks where integration flexibility outweighs the need for native AI—particularly agencies and enterprises with 10+ connected platforms.
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Choose Blaze when...
Choose Blaze AI if your team needs to launch sophisticated, AI-driven campaigns quickly without building custom workflows. This is the right choice for mid-market B2B and B2C organizations with 20-100 person marketing teams, significant email/SMS/push volume, and limited technical resources. Blaze accelerates time-to-insight and reduces dependency on marketing engineers.
Choose Make when...
Choose Make if your marketing stack is already complex (5+ connected platforms) and your primary need is orchestration and data flow between systems. This is ideal for agencies managing diverse client integrations, enterprises with custom Salesforce implementations, or teams with dedicated technical operators who can design sophisticated workflows. Make's flexibility justifies its complexity when integration breadth is your constraint.
Score Breakdown
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