We detected 768 customers using Tealium. The most common industry is Retail (15%) and the most common company size is 51-200 employees (28%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We detect companies that deploy Tealium CDP client-side (most cases), but not companies that use it purely on the server-side. We are also unable to detect churned customers for this vendor, only new customers
About Tealium
Tealium collects and unifies customer data from multiple sources in real-time to create comprehensive customer profiles that enable personalized experiences, audience segmentation, and data activation across over 1,300 marketing technology integrations while ensuring data quality, privacy compliance, and AI-readiness.
📊 Who in an organization decides to buy or use Tealium?
Source: Analysis of 100 job postings that mention Tealium
Job titles that mention Tealium
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Based on an analysis of job titles from postings that mention Tealium.
Job Title
Share
Director of Analytics
14%
Director of Marketing
10%
Director of Software Engineering
7%
Director of Marketing Technologies
7%
I noticed that Tealium buyers are primarily senior leaders in marketing and analytics roles, with Directors of Analytics (14%), Directors of Marketing (10%), and Directors of Marketing Technologies (7%) leading purchasing decisions. These leaders sit at the intersection of marketing, data, and technology teams, focused on enabling personalized customer experiences and data-driven decision making. Their strategic priorities center on building unified customer data infrastructures, ensuring compliance with privacy regulations, and activating data across multiple channels and platforms.
Day-to-day users span a broader range of practitioners including data analysts, digital analytics consultants, marketing operations managers, and software engineers. These teams are hands-on with implementation tasks like configuring tag management systems, building customer audiences, validating data flows, troubleshooting integrations, and ensuring data quality across web, mobile, and CTV properties. They work closely with product, engineering, and marketing teams to translate business requirements into technical tracking specifications.
The core pain points revolve around fragmentation and scale. Companies describe needing to "unify customer data across all touchpoints" and create "seamless integration" across their MarTech stacks. One posting emphasized the need for "hyper-personalization at scale" while another highlighted "consistent, compliant, and high-quality omnichannel experiences." A third stated the goal of building "a unified, real-time customer data infrastructure" to power personalization and measurement across the entire customer journey.
🔧 What other technologies do Tealium customers also use?
Source: Analysis of tech stacks from 768 companies that use Tealium
Commonly Paired Technologies
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Shows how much more likely Tealium 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 Tealium CDP users are predominantly direct-to-consumer retail and e-commerce companies with sophisticated digital advertising operations and a strong focus on accessibility and customer experience. The presence of TheTradeDesk and Skai/Kenshoo tells me these companies are running complex programmatic advertising campaigns across multiple channels. They're not just throwing ads out there, they're orchestrating personalized campaigns that require the kind of unified customer data that Tealium provides.
The pairing of Tealium with AudioEye and UsableNet is particularly telling. Both are web accessibility tools, which suggests these companies either serve large enterprise markets where ADA compliance matters significantly, or they're consumer brands conscious about inclusive experiences. When I see Bluecore in the mix, a retail-focused marketing platform, alongside TheTradeDesk for programmatic ads, it paints a picture of retailers using customer data to trigger personalized email campaigns while simultaneously retargeting those same customers with coordinated display advertising. Gladly, a customer service platform that unifies conversations across channels, reinforces that these companies view customer data holistically, not in departmental silos.
My analysis shows these are marketing-led organizations, likely past the early startup phase and into scale mode. They're investing heavily in martech infrastructure, which indicates they have meaningful revenue and customer bases worth optimizing. The accessibility tools suggest either mid-market to enterprise size or brands with significant web traffic where compliance risk matters. These aren't product-led growth companies experimenting with freemium models. They're companies that acquire customers through paid channels and sophisticated marketing, then work hard to retain them through personalized experiences.
👥 What types of companies is most likely to use Tealium?
Source: Analysis of Linkedin bios of 768 companies that use Tealium
Company Characteristics
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Shows how much more likely Tealium 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
Industry: Truck Transportation
33.6x
Industry: Motor Vehicle Manufacturing
19.4x
Industry: Machinery Manufacturing
11.1x
Company Size: 1,001-5,000
6.4x
Company Size: 501-1,000
6.0x
Country: CA
4.9x
I noticed that Tealium CDP users are predominantly customer-facing businesses that need to manage complex, multi-touchpoint consumer relationships. These aren't SaaS companies or pure tech plays. They're automotive dealerships, retail brands, financial services firms, telecommunications providers, hospitality companies, and healthcare organizations. What they have in common is direct-to-consumer sales and service operations where understanding customer behavior across channels matters enormously. Many are in industries with showrooms, service centers, or physical locations that need to connect with digital touchpoints.
These are decidedly mature, established enterprises. The employee counts skew heavily toward 50-500 people, with several in the thousands. Many explicitly mention decades of operation: "since 1859," "over 85 years," "founded in 1958." Very few show venture funding, and those that do are typically later-stage. These aren't startups optimizing for growth at all costs. They're profitable businesses managing existing customer bases at scale.
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