Companies that use Make

Source: Analysis of job postings that mention Make.com (using the Bloomberry Jobs API)

I noticed a clear split between buyers and users of Make.com. Revenue Operations Managers (12%) and Directors of Marketing (9%) are primarily responsible for purchasing decisions, alongside various operations leadership roles. These buyers are focused on pipeline creation, lead management, and building scalable GTM infrastructure. They're hiring for roles that demonstrate a strategic priority around automation-first growth without expanding headcount.

The day-to-day users span a wider range: AI Automation Engineers (8%), Operations Managers (7%), and Marketing Operations Specialists (6%) are hands-on with Make.com for workflow automation, data integration, and system orchestration. I saw practitioners connecting CRMs like HubSpot and Salesforce to external tools, building lead routing systems, automating email and SMS campaigns, and creating data pipelines between disparate systems. Many are using Make.com alongside AI tools like Claude and ChatGPT to build agentic workflows.

The pain points center on eliminating manual work and scaling without proportional hiring. Companies want to "automate repetitive work" and "free up teams to focus on strategic value rather than transactional processing." One posting emphasized building "the automated finance operations platform of the future where systems talk to each other." Another sought someone to "reduce 60% of manual work" through intelligent automation. The recurring theme is operational leverage through integration and workflow automation.

Source: Analysis of Linkedin bios of 115 companies that use Make.com

I noticed Make.com's typical customers span an incredibly diverse range of industries, from financial services and healthcare to e-commerce and renewable energy. What unites them isn't what they sell, but how they operate. These are companies managing complex, multi-system operations that need to connect data across platforms. Whether it's Deliveroo coordinating restaurant partners and riders, Velocity Global managing payroll across 185+ countries, or Guesty powering 250,000+ properties across multiple booking platforms, they're all orchestrating workflows that touch multiple systems and stakeholders.

These companies skew toward growth-stage and established enterprises. I counted numerous Series B through F rounds, private equity backing, and even several post-IPO companies like eBay, DoorDash, and BigCommerce. Employee counts frequently fall in the 200-1,000+ range. The presence of companies like Emerson with 48,000+ employees alongside 50-person teams suggests Make.com serves both scaling operations and large enterprises optimizing existing processes.

Source: Analysis of tech stacks from 115 companies that use Make.com

I noticed that Make.com users are building sophisticated growth operations that require connecting multiple best-of-breed tools. These companies are using specialized platforms across learning management, visitor intelligence, user research, security, affiliate marketing, and customer data infrastructure. This tells me they're growth-stage B2B companies that have moved past simple all-in-one solutions and need automation to tie together their increasingly complex tech stacks.

The pairing of Demandbase with Segment is particularly revealing. These companies are tracking anonymous website visitors and then routing that enriched data through a customer data platform to multiple destinations. Make.com likely serves as the glue connecting visitor identification to their CRM, email tools, and analytics platforms. Similarly, the presence of Impact suggests they're running partner or affiliate programs that need integration with their attribution and payment systems. UserTesting appearing frequently makes sense too, because product-led B2B companies need to continuously validate features and gather feedback, then route those insights to product management tools and customer success platforms.

The full stack reveals marketing-led companies that have reached a stage where they need operational sophistication. They're investing in visitor intelligence and testing tools, which means they're optimizing for conversion and user experience. The presence of Docebo suggests they're also thinking about customer education and onboarding at scale. These aren't early-stage startups cobbling together free tools, nor are they enterprises with dedicated integration teams. They're likely Series B to growth-stage companies with 100 to 500 employees who need enterprise capabilities but don't have massive IT resources.