We detected 580 customers using Viant DSP, 6 companies that churned or ended their trial, and 27 customers with estimated renewals in the next 3 months. The most common industry is Hospitality (11%) and the most common company size is 51-200 employees (32%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We're unable to detect companies that use Viant DSP via server-side conversion APIs
About Viant DSP
Viant DSP provides an AI-powered omnichannel demand-side platform enabling brands and agencies to plan, execute, and measure programmatic advertising campaigns across CTV, mobile, display, audio, and digital out-of-home with people-based targeting and real-time analytics.
🔧 What other technologies do Viant DSP customers also use?
Source: Analysis of tech stacks from 580 companies that use Viant DSP
Commonly Paired Technologies
i
Shows how much more likely Viant DSP 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 Viant DSP users are heavily focused on omnichannel advertising measurement and performance tracking. The presence of TVSquared, a TV attribution platform, alongside MNTN (a connected TV advertising platform) tells me these companies are running sophisticated cross-channel campaigns that span traditional digital, CTV, and linear TV. They're not just buying ads, they're obsessively measuring how those ads perform across every touchpoint.
The combination of StackAdapt and Viant suggests these companies are diversifying their programmatic spending across multiple DSPs rather than relying on a single platform. They want options and competitive leverage. CallRail's strong presence is particularly revealing because it's a call tracking solution, which means many of these companies still drive phone conversions or have sales teams that close deals over the phone. That pairing with programmatic advertising tells me they're likely in higher consideration categories like home services, healthcare, or financial services where a phone call is part of the buyer journey. LocalIQ reinforces this pattern since it's designed for local businesses and multi-location brands.
The full picture suggests these are marketing-led organizations in growth mode, likely Series A through C stage or established companies with substantial marketing budgets. They're probably not early startups because they've invested in a complex tech stack with multiple measurement and privacy tools like Osano. The emphasis on attribution and call tracking indicates they're accountable to ROI metrics and likely report marketing performance to executives or investors regularly.
👥 What types of companies is most likely to use Viant DSP?
Source: Analysis of Linkedin bios of 580 companies that use Viant DSP
Company Characteristics
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Shows how much more likely Viant DSP 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
13.5x
Company Size: 51-200
12.0x
Company Size: 11-50
2.7x
I noticed that Viant DSP's customers span a surprisingly diverse range of industries, but they share a common thread: they're primarily consumer-facing businesses that need to reach local or regional audiences. The list includes casinos and resorts, car dealerships, home improvement contractors, credit unions, restaurants, ski resorts, hotels, and educational institutions. These aren't typically e-commerce businesses. They're physical locations or services where customers need to visit, enroll, or engage in person.
These are predominantly mature, established businesses rather than startups. Only three companies in the entire list show any venture funding, and most explicitly mention decades of operation. The employee counts cluster heavily in the 50-500 range, suggesting stable mid-market companies. Many are nonprofits, educational institutions, or privately held family businesses. The lack of funding stages and the emphasis on legacy tells me these are companies with proven business models, not companies racing to scale.
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