We detected 257 customers using Contentstack and 23 companies that churned or ended their trial. The most common industry is Retail (22%) and the most common company size is 1,001-5,000 employees (21%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About Contentstack
Contentstack provides an adaptive digital experience platform combining a headless CMS with real-time customer data and AI-powered personalization to help enterprises create, manage, and deliver content across multiple digital channels.
📊 Who in an organization decides to buy or use Contentstack?
Source: Analysis of 100 job postings that mention Contentstack
Job titles that mention Contentstack
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Based on an analysis of job titles from postings that mention Contentstack.
Job Title
Share
Frontend Engineer/Developer
23%
Director of Engineering/Technology
16%
Content Marketing Specialist
9%
Product Manager
7%
I noticed that Contentstack purchasing decisions are driven primarily by technology and marketing leadership, with 16% of roles being Directors of Engineering or Technology and another segment being senior product managers. These buyers are prioritizing digital transformation, composable architecture, and the shift from legacy CMS platforms. They're hiring for expertise in headless CMS, modern front-end frameworks, and the ability to build scalable, multi-channel digital experiences. The strategic focus is on creating content platforms that support global reach, personalization, and AI-powered capabilities.
The day-to-day users are predominantly frontend engineers and developers, representing 23% of roles, alongside content specialists and marketing operations teams. These practitioners are building with React, Next.js, and integrating Contentstack via APIs to deliver responsive websites, e-commerce experiences, and campaign landing pages. They're managing content workflows, implementing A/B testing, optimizing performance metrics like Core Web Vitals, and ensuring content consistency across multiple regions and devices.
The pain points center on escaping legacy systems and achieving operational scale. Companies describe needing to "transition from legacy CMS platforms to a composable architecture" and build "scalable, flexible, and high-performance content delivery systems." They want to "make it easier for Amway Business Owners to attract and engage customers through compelling content" and create "seamless integration with digital channels." The recurring theme is organizations pursuing modern, API-first approaches that enable faster publishing, better personalization, and true omnichannel experiences.
🔧 What other technologies do Contentstack customers also use?
Source: Analysis of tech stacks from 257 companies that use Contentstack
Commonly Paired Technologies
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Shows how much more likely Contentstack customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Contentstack users are predominantly mid-market to enterprise e-commerce retailers with sophisticated digital operations. The combination of tools like FastSimon (site search), Riskified (fraud prevention), and Bluecore (e-commerce marketing automation) tells me these are companies running substantial online storefronts where customer experience and transaction security are critical business concerns.
The pairing patterns are revealing. FastSimon appearing 2092 times more often makes perfect sense because Contentstack users need powerful site search to help customers navigate complex product catalogs managed through a headless CMS. Riskified's presence suggests these retailers process enough transactions to justify specialized fraud prevention, not just basic payment gateway protections. Meanwhile, UsableNet appearing so frequently indicates these companies take digital accessibility seriously, likely because they're large enough to face regulatory scrutiny or serve diverse customer bases where accessibility is a competitive advantage.
The full stack reveals these are marketing-led organizations in growth or mature stages. They've moved beyond basic commerce platforms and invested in composable architecture, which requires both technical sophistication and budget. Tools like Alation (data cataloging) suggest they have data teams managing analytics across multiple systems. Gladly's presence points to customer service being a competitive differentiator, not an afterthought. These aren't scrappy startups experimenting with minimal tools. They're established companies optimizing conversion rates, managing substantial customer data, and coordinating across multiple departments.
👥 What types of companies is most likely to use Contentstack?
Source: Analysis of Linkedin bios of 257 companies that use Contentstack
Company Characteristics
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Shows how much more likely Contentstack customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Country: US
2.6x
Company Size: 51-200
1.6x
I analyzed these companies and found that Contentstack's typical customer operates in consumer-facing industries where brand experience directly drives revenue. These are retailers (apparel, sporting goods, home furnishings), hospitality and entertainment venues (casinos, hotels, golf facilities), financial services firms, and established consumer brands. They sell physical products, experiences, or services that require sophisticated digital storefronts and content management across multiple touchpoints.
These are overwhelmingly mature enterprises. The employee counts skew heavily toward 1,000+ employees, with many in the 5,000-10,000+ range. I saw substantial revenue figures (Schneider at $5 billion, Strategy with $70 billion in assets), long operational histories (BISSELL at 150 years, Berlitz at 145 years), and companies that are publicly traded or have significant institutional backing. Even the smaller companies in this dataset tend to be established players with proven business models rather than early-stage startups.
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