We detected 3,640 customers using AppNexus, 778 companies that churned or ended their trial, and 121 customers with estimated renewals in the next 3 months. The most common industry is Retail (9%) and the most common company size is 51-200 employees (30%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We're unable to detect companies that use AppNexus via server-side conversion APIs
About AppNexus
AppNexus operates a cloud-based software platform that enables and optimizes programmatic online advertising by providing auction infrastructure and technology for data management, real-time bidding, and ad serving.
๐ Who in an organization decides to buy or use AppNexus?
Source: Analysis of 100 job postings that mention AppNexus
Job titles that mention AppNexus
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Based on an analysis of job titles from postings that mention AppNexus.
Job Title
Share
Programmatic Director/Associate Director
29%
Digital Marketing Specialist
9%
Media Planner
9%
Account Manager
6%
I found that AppNexus buyers are primarily senior programmatic advertising leaders, with 29% being Programmatic Directors or Associate Directors, followed by Digital Marketing Specialists and Media Planners at 9% each. These decision-makers sit within agencies (GroupM, WPP, Publicis), media companies (Fox, iHeartMedia), and retail media networks (Walmart Connect, Ulta Beauty). Their strategic priorities focus on building scalable programmatic infrastructure, expanding retail media capabilities, and modernizing ad tech stacks to support multi-channel campaigns.
The day-to-day users are predominantly media traders, campaign coordinators, and ad operations specialists who execute programmatic campaigns across display, video, mobile, and CTV. They use AppNexus (now Xandr) alongside other DSPs like The Trade Desk and DV360 for campaign trafficking, optimization against KPIs like ROAS and eCPA, and troubleshooting delivery issues. I noticed these practitioners work heavily with first-party data activation, header bidding setup, and cross-platform reporting.
The job postings reveal companies are pursuing three main goals. First, they want to "optimize the sale of programmatic inventory" and "maximize Life time value" through better yield management. Second, they need experts who can "develop industry-leading technology" and "stay abreast of emerging technologies" as the programmatic landscape evolves. Third, they're focused on "providing measurable results" and creating "closed loop reporting" to prove advertising ROI, reflecting increased pressure for accountability in digital advertising spend.
๐ง What other technologies do AppNexus customers also use?
Source: Analysis of tech stacks from 3,640 companies that use AppNexus
Commonly Paired Technologies
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Shows how much more likely AppNexus 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 AppNexus users are clearly programmatic advertising buyers who take a sophisticated, multi-platform approach to digital media purchasing. The overwhelming presence of demand-side platforms like TheTradeDesk, StackAdapt, and Simpli.fi tells me these are companies that need serious advertising infrastructure, not casual marketers running basic campaigns. They're building out comprehensive programmatic stacks to manage complex media buying operations.
The pairing with TheTradeDesk is particularly telling, appearing 176 times more often than normal across 629 companies. This suggests these companies aren't loyal to a single DSP but instead use multiple platforms to access different inventory sources and optimize performance across channels. The strong correlation with Dstillery, a data management platform, makes perfect sense in this context. These companies need audience data and segmentation capabilities to fuel their programmatic campaigns. The presence of Adform, another ad server and DSP, reinforces that these are organizations comparing performance across platforms and hedging against relying on any single vendor.
My analysis shows these are almost certainly marketing-led organizations, specifically ones with mature performance marketing or media buying teams. The tech stack suggests mid-market to enterprise companies with dedicated programmatic specialists, not startups experimenting with their first digital campaigns. They have the budget and expertise to manage multiple vendor relationships simultaneously. The Facebook Ads correlation, while lower than the DSP tools, indicates they're running paid social alongside programmatic display, suggesting full-funnel digital strategies.
๐ฅ What types of companies is most likely to use AppNexus?
Source: Analysis of Linkedin bios of 3,640 companies that use AppNexus
Company Characteristics
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Shows how much more likely AppNexus 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: Gambling Facilities and Casinos
35.5x
Industry: Banking
19.7x
Funding Stage: Private equity
11.9x
Industry: Museums, Historical Sites, and Zoos
11.3x
Funding Stage: Grant
6.9x
Company Size: 1,001-5,000
6.7x
I noticed that AppNexus serves an incredibly diverse range of operational businesses focused on direct consumer engagement. These aren't tech companies building software platforms. They're hotels and resorts, fitness centers and academies, insurance providers, healthcare facilities, retail stores, restaurants, real estate agencies, banks, telecommunications companies, and non-profits. What unites them is that they all need to reach consumers at scale, whether that's filling hotel rooms, attracting gym members, selling insurance policies, or driving donations.
These are established, mature businesses rather than startups. The employee counts cluster heavily in the 50-200 and 200-500 ranges, with several reaching 1,000-5,000 employees. Most show no funding stages or mention private equity, suggesting they're either profitable operators or family-owned businesses. The few that do show funding are typically Series A or beyond. These companies have physical locations, established customer bases, and operational complexity. They're not experimenting with product-market fit; they're optimizing customer acquisition at scale.
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