We detected 33 customers using Simon Data and 9 companies that churned or ended their trial. The most common industry is Retail Apparel and Fashion (27%) and the most common company size is 201-500 employees (21%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We detect companies that deploy Simon Data client-side (most cases), but not companies that use it purely on the server-side
About Simon Data
Simon Data combines a composable customer data platform with agentic AI to help marketing teams unify customer data, automate campaign orchestration, and deliver personalized experiences at scale across all engagement channels.
🔧 What other technologies do Simon Data customers also use?
Source: Analysis of tech stacks from 33 companies that use Simon Data
Commonly Paired Technologies
i
Shows how much more likely Simon Data 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 Simon Data customers are sophisticated marketing organizations operating multi-channel customer engagement strategies at scale. The presence of tools like Dynamic Yield, MNTN, and LiveIntent tells me these companies are focused on personalized customer experiences across web, display advertising, and email. They're not running basic email campaigns. They're orchestrating complex, data-driven customer journeys across multiple touchpoints.
The pairing of Simon Data with FullContact is particularly revealing. FullContact enriches customer data with additional identity information, which means these companies are investing heavily in building unified customer profiles. When you combine that with Looker Cloud for analytics, it suggests a workflow where they're constantly enriching data, analyzing customer behavior, and then activating those insights through Simon Data's platform. The presence of Optimizely Web Experimentation reinforces this: they're testing different experiences, learning from the results, and using those insights to refine their targeting.
The full tech stack reveals marketing-led organizations that treat customer data as a strategic asset. These are likely growth-stage or mature companies with dedicated marketing operations teams. They have the budget and sophistication to invest in best-of-breed tools rather than all-in-one solutions. The combination of experimentation tools, advertising platforms, and analytics suggests they're measuring everything and optimizing constantly. They're past the stage of basic segmentation and into true one-to-one personalization.
👥 What types of companies is most likely to use Simon Data?
Source: Analysis of Linkedin bios of 33 companies that use Simon Data
Company Characteristics
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Shows how much more likely Simon Data 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
9.6x
I noticed that Simon Data's customers are predominantly consumer-facing brands in retail, particularly fashion and lifestyle products. These companies sell physical goods directly to consumers: eyewear (Ace & Tate, BonLook, solis optics), apparel and accessories (BaubleBar, Thinx, GREATS), furniture (Gardner White, 1stDibs), and consumer packaged goods (Burt's Bees, Bobbie). There's also a strong presence of subscription or membership-based businesses like Sakara Life, giffgaff, and RCI that need to nurture ongoing customer relationships.
These are primarily growth-stage to mature companies. The employee counts range from 50 to several thousand, with most falling in the 200 to 500 range. Many have raised Series A through C funding or are already profitable and established (Sleep Country Canada is post-IPO, Burt's Bees is part of Clorox). Very few are early-stage startups. They're past the scrappy founder phase and operating at a scale where sophisticated customer data management matters.
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