Companies that use StackAdapt

Source: Analysis of job postings that mention StackAdapt (using the Bloomberry Jobs API)

I noticed that StackAdapt buyers are predominantly marketing and advertising leaders, with Directors of Marketing, Programmatic, and Digital Marketing making up 34% of leadership roles. These decision makers sit within growth marketing, demand generation, and media teams at agencies, B2B SaaS companies, and political/advocacy organizations. Their strategic priorities center on building scalable demand generation engines, expanding programmatic capabilities, and driving measurable pipeline growth through data-driven campaigns.

The day-to-day users are performance marketers, media planners, and programmatic specialists who execute campaigns across display, video, CTV, and native channels. These practitioners are building audiences, managing budgets ranging from five to seven figures monthly, optimizing toward KPIs like ROAS and cost per acquisition, and running sophisticated A/B tests. They work alongside creative teams to iterate on ad performance and collaborate with analytics teams to track attribution across the customer journey.

The core pain point I see is the need to prove marketing ROI while scaling efficiently. Companies want to "drive measurable results," "maximize performance and achieve exceptional results," and "turn awareness into engagement and engagement into pipeline." Multiple postings emphasize "data-driven approach to campaign performance" and the ability to "translate data into insights and insights into action." Organizations are clearly looking to move beyond basic digital advertising toward integrated, full-funnel strategies that connect brand awareness to revenue outcomes.

Source: Analysis of Linkedin bios of 6,820 companies that use StackAdapt

I noticed that StackAdapt's customers are incredibly diverse, spanning from senior living communities and healthcare providers to banks, non-profits, entertainment venues, and B2B software companies. What unites them isn't their industry but their need to reach specific audiences. These are organizations with something tangible to offer: physical locations people visit (theaters, zoos, theme parks), services people need (medical care, financial planning, home repairs), or causes people support (conservation, disease research). They're rarely selling purely digital products.

These are predominantly established, mature organizations rather than venture-backed startups. The employee counts cluster heavily in the 50-500 range, with many showing no funding stage or listing grants rather than venture capital. When funding appears, it's often Series A/B or private equity rather than early seed rounds. The frequent mentions of "since [year]" and multi-generational ownership suggest stability over hyper-growth. Even the tech companies here seem more focused on serving traditional industries than disrupting them.

Source: Analysis of tech stacks from 6,820 companies that use StackAdapt

I noticed that StackAdapt users are serious digital advertisers running sophisticated, multi-channel campaigns. The extremely high correlation with TheTradeDesk (114.9x more likely) and programmatic platforms like Simpli.fi tells me these are companies investing heavily in programmatic advertising across display, video, and connected TV. They're not running simple social campaigns. They're orchestrating complex media buying strategies across multiple exchanges and inventory sources.

The pairing of StackAdapt with TVSquared is particularly revealing. TVSquared measures TV and streaming ad performance, which means these companies are bridging traditional and digital advertising. They're likely running coordinated campaigns across linear TV, connected TV, and digital channels, then trying to understand attribution across all of them. The presence of Microsoft Clarity alongside Facebook Ads and LinkedIn Ads suggests they're not just buying media, they're obsessively tracking what happens after the click. They want to see session replays and understand user behavior on their sites.

My analysis shows these are marketing-led organizations, likely in the growth or scale-up stage. They have substantial advertising budgets (programmatic advertising isn't cheap) and dedicated teams managing performance across channels. The combination of tools reveals a test-and-optimize mentality. They're running experiments, measuring everything, and constantly refining their approach based on data.