We detected 2,336 customers using TVSquared, 426 companies that churned or ended their trial, and 94 customers with estimated renewals in the next 3 months. The most common industry is Retail (8%) and the most common company size is 51-200 employees (32%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We only can detect companies that use TVSquared for website attribution, retargeting or measurement (most customers)
About TVSquared
TVSquared provides cross-platform TV measurement and attribution across linear, CTV, and digital video, tracking ad performance metrics including reach, frequency, and both online and offline outcomes for advertisers globally.
📊 Who in an organization decides to buy or use TVSquared?
Source: Analysis of 100 job postings that mention TVSquared
Job titles that mention TVSquared
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Based on an analysis of job titles from postings that mention TVSquared.
Job Title
Share
Media Manager/Planner
31%
Marketing Analyst
19%
Director of Marketing/Analytics
13%
Account Manager
12%
My analysis shows that TVSquared is primarily purchased by marketing and media leadership, with 13% of roles being directors overseeing acquisition, analytics, or measurement functions. These buyers are focused on proving ROI from TV and video campaigns while managing increasingly complex multi-channel strategies. They're hiring media managers (31%) and marketing analysts (19%) to execute and optimize these strategies, alongside account managers (12%) who likely manage client relationships at agencies using TVSquared.
The day-to-day users are media planners and analysts who leverage TVSquared for TV attribution and campaign measurement. I noticed practitioners use it to create reportings across platforms, transfer TV data for analysis, and monitor campaign performance. One posting specifically mentions creating "reportings that are used for internal as well as external presentations, using different analytic platforms like TVSquared or Tableau." Another describes supporting "TV reporting and analysis" alongside tools like Kantar BVS and Strata, positioning TVSquared as part of the core measurement stack.
The overarching goal is connecting TV investment to business outcomes. Companies want to "optimize campaigns towards growing customer base, whilst delivering a strong return on ad spend" and need to "monitor and measure results in multiple platforms." One role emphasizes leveraging "attribution tools to identify media" effectiveness, while another focuses on "independent currency-grade measurement" for advertising efficiency. These organizations are clearly trying to bring data-driven rigor to traditional TV buying.
🔧 What other technologies do TVSquared customers also use?
Source: Analysis of tech stacks from 2,336 companies that use TVSquared
Commonly Paired Technologies
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Shows how much more likely TVSquared 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 TVSquared users are heavily invested in programmatic advertising and performance marketing. The overwhelming presence of platforms like TheTradeDesk, Simpli.fi, StackAdapt, and MNTN tells me these companies are running sophisticated multi-channel ad campaigns with a strong emphasis on digital video and connected TV advertising. They're not just dabbling in digital ads. They're building their entire marketing strategy around measurable, data-driven media buying.
The pairing of TVSquared with TheTradeDesk makes perfect sense because these companies need to connect their programmatic ad spend with actual business outcomes. They're buying ads programmatically across multiple channels and using TVSquared to measure TV attribution specifically. The presence of MNTN is particularly telling since it's focused on performance-based connected TV advertising. This suggests these companies are treating TV more like direct response media than brand awareness. And CallRail appearing so frequently shows they're tracking the full customer journey from ad exposure through phone calls, which means they likely have sales teams that need to understand which campaigns are driving qualified leads.
The full stack reveals these are marketing-led organizations in growth or scale-up mode. They have real budgets for paid media but still need to prove ROI on every dollar spent. They're likely B2C companies or B2B businesses with shorter sales cycles where they can draw clearer lines between ad exposure and conversion. The emphasis on attribution and call tracking suggests they have mature marketing operations teams who are responsible for defending media spend.
👥 What types of companies is most likely to use TVSquared?
Source: Analysis of Linkedin bios of 2,336 companies that use TVSquared
Company Characteristics
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Shows how much more likely TVSquared 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: Private equity
19.1x
Industry: Banking
18.8x
Industry: Automotive
12.9x
Industry: Consumer Services
11.9x
Funding Stage: Series unknown
8.9x
Funding Stage: Grant
6.9x
I noticed that TVSquared's typical customers are surprisingly diverse, but they share a common thread: they're all consumer-facing businesses that need to reach local or regional audiences at scale. These aren't obscure B2B software companies. They're personal injury law firms advertising on late-night TV, home services companies like HVAC and plumbing contractors, car dealerships, furniture stores, casinos and entertainment venues, museums and tourist attractions, financial services providers, and restaurants. What connects them is that they're all spending money on traditional advertising channels to drive direct customer action.
These are predominantly established, mature businesses, not venture-backed startups. Most show no funding stage listed, and when they do raise capital, it's often private equity or modest debt financing rather than Silicon Valley-style venture rounds. The employee counts cluster between 50-500 people, with some larger regional chains reaching into the thousands. They operate multiple physical locations, have been around for decades, and focus on steady growth rather than hypergrowth. They're businesses with real revenue, established customer bases, and proven business models.
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