We detected 965 customers using AB Tasty, 158 companies that churned or ended their trial, and 43 customers with estimated renewals in the next 3 months. The most common industry is Retail (17%) and the most common company size is 51-200 employees (25%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: Our data tracks companies with AB Tasty installed on their website and may not capture sites running tests only on checkout flows or gated pages
About AB Tasty
AB Tasty provides a unified platform for digital experience optimization through A/B testing, feature experimentation, personalization, progressive feature rollouts, and AI-powered segmentation including their proprietary EmotionsAI technology. The platform enables marketing and product teams to test, personalize, and manage features across web, mobile, and API environments from a single interface.
📊 Who in an organization decides to buy or use AB Tasty?
Source: Analysis of 100 job postings that mention AB Tasty
Job titles that mention AB Tasty
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Based on an analysis of job titles from postings that mention AB Tasty.
Job Title
Share
CRO Specialist/Manager
18%
Product Manager
12%
Digital Marketing Manager
10%
Frontend/Fullstack Engineer
9%
My analysis shows that AB Tasty purchasing decisions are primarily driven by CRO Specialists and Managers (18%), Product Managers (12%), and Digital Marketing Managers (10%). These buyers sit within digital product, ecommerce, and growth marketing teams. Their strategic priorities center on conversion optimization, experimentation programs, and customer experience enhancement. They're building infrastructure for systematic testing, as evidenced by roles defining experimentation roadmaps, implementing governance frameworks, and establishing test and learn cultures across their organizations.
The day-to-day users are highly technical practitioners working hands-on with the platform. CRO specialists design and execute A/B tests, multivariate experiments, and personalization campaigns. Frontend developers implement test variations and inject code without compromising site performance. Data analysts monitor test results, analyze behavioral data, and translate findings into actionable insights. Product managers coordinate cross-functional teams to ideate hypotheses, prioritize testing opportunities, and measure business impact on KPIs like conversion rate, engagement, and revenue per visit.
These companies are solving clear pain points around conversion friction and experimentation velocity. They want to build a "Culture of Experimentation" and achieve "20%+ engagement through an integrated assistant experience." Teams are focused on "transforming friction into flow" and "turning insights into measurable growth." The recurring theme is moving from ad-hoc testing to structured programs that "increase experimentation confidence and velocity" while ensuring "statistical rigor" and delivering "data-driven decisions to improve KPIs."
🔧 What other technologies do AB Tasty customers also use?
Source: Analysis of tech stacks from 965 companies that use AB Tasty
Commonly Paired Technologies
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Shows how much more likely AB Tasty 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 AB Tasty users are sophisticated digital experience companies that treat their websites as critical revenue channels. The combination of consent management, analytics, and experimentation tools tells me these are mature organizations obsessed with optimizing every aspect of the customer journey while maintaining compliance. They're likely mid-market to enterprise retailers and consumer brands with significant direct-to-consumer operations.
The pairing with OneTrust makes perfect sense because companies running A/B tests need robust consent management to ensure their experimentation complies with privacy regulations across different markets. Contentsquare appearing so frequently alongside AB Tasty reveals a clear workflow: these companies use behavioral analytics to identify friction points, then deploy AB Tasty to test solutions. The presence of Narvar is particularly telling. It's a post-purchase experience platform, which means these companies are optimizing beyond just conversion. They're thinking about the entire customer lifecycle, using AB Tasty to test everything from product pages to order tracking experiences.
This stack screams marketing-led growth at established companies. These aren't scrappy startups experimenting with basic tools. The Adobe Audience Manager correlation suggests they're running sophisticated segmentation and personalization strategies, probably with dedicated optimization teams. They have the budget and organizational maturity to invest in multiple premium tools that require expertise to use effectively. I'd guess these are companies doing at least $50 million in revenue with established digital commerce operations.
👥 What types of companies is most likely to use AB Tasty?
Source: Analysis of Linkedin bios of 965 companies that use AB Tasty
Company Characteristics
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Shows how much more likely AB Tasty 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
Funding Stage: Series unknown
15.3x
Company Size: 1,001-5,000
12.6x
Industry: Travel Arrangements
12.0x
Industry: Higher Education
11.5x
Industry: Manufacturing
9.5x
Country: FR
6.4x
I analyzed these companies and found that AB Tasty's customers are predominantly consumer-facing businesses selling directly to end customers. The majority are retailers (fashion brands like HAST, Windsor Fashions, and Steve Madden, lifestyle products like Native and NEOM Wellbeing), hospitality companies (hotel groups like The Hoxton, Ritz Paris, and Minor Hotels), and e-commerce platforms. They're building brands that depend heavily on digital customer experiences, whether that's converting website visitors into buyers or engaging users through online platforms.
These are primarily established, scaling businesses rather than early-stage startups. The employee counts tell the story: most have between 50 and 5,000 employees, with many in the 200-1,000 range. They have physical presence (multiple retail locations, hotel properties, or distribution networks) alongside their digital operations. Very few show recent funding rounds, suggesting they're past the venture-capital-dependent phase and operating with established revenue models.
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