We detected 8,675 companies using Adobe Audience Manager and 83 customers with upcoming renewal in the next 3 months. The most common industry is Software Development (12%) and the most common company size is 1,001-5,000 employees (24%). We find new customers by monitoring new entries and modifications to company DNS records.
Note: This page only tracks companies that are using Adobe Audience Manager. Click here to see companies using Adobe Enterprise
๐ Who usually uses Adobe Audience Manager and for what use cases?
Source: Analysis of job postings that mention Adobe Audience Manager (using the Bloomberry Jobs API)
Job titles that mention Adobe Audience Manager
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Based on an analysis of job titles from postings that mention Adobe Audience Manager.
Job Title
Share
Director, Analytics
17%
Director, Marketing
11%
Associate Director, Analytics
9%
Vice President, Operations
6%
My analysis shows that Adobe Audience Manager buyers sit primarily in analytics leadership roles (17%) and marketing leadership (11%), with associate directors and VPs rounding out the decision-making layer. These leaders are tasked with transforming how their organizations leverage first-party data, automate customer journeys, and execute omnichannel campaigns. They're hiring for capability-building, particularly around martech integration, CDP implementation, and audience orchestration that bridges paid, owned, and earned channels.
The day-to-day users are a mix of audience strategists, media analysts, data engineers, and martech specialists who execute hands-on work. I noticed these practitioners build custom audience segments, manage tag implementations, orchestrate multi-touch attribution, configure tracking across websites and mobile apps, and coordinate campaign delivery to ad platforms. They're embedded in workflows that require technical fluency in Adobe's ecosystem, from Launch to Analytics to Target, often managing integrations with DMPs, CDPs, and DSPs simultaneously.
The recurring pain points center on fragmentation and scale. Companies want to "unify profile event and audience data" and "translate complex business requirements into architectural solutions" while ensuring "accurate site data collection" and "consistent operating routines." Multiple postings emphasize the need to "reduce handoffs and preventable rework" and establish "governance and documentation standards." These organizations are clearly wrestling with data silos, seeking someone who can create "execution-ready audiences with strong documentation" and deliver "measurable business growth" through better audience intelligence and activation capabilities.
๐ฅ What types of companies use Adobe Audience Manager?
Source: Analysis of Linkedin bios of 8,675 companies that use Adobe Audience Manager
Company Characteristics
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Shows how much more likely Adobe Audience Manager 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: Series F
302.3x
Funding Stage: Post IPO secondary
231.2x
Funding Stage: Series E
226.0x
Company Size: 10,001+
60.7x
Company Size: 5,001-10,000
37.9x
Company Size: 1,001-5,000
31.4x
I noticed that Adobe Audience Manager users are predominantly companies in the business of moving products, services, or experiences at scale. These aren't just B2C retailers, though there are plenty of those. I see financial institutions managing billions in assets, automotive manufacturers, healthcare providers, telecommunications companies, and enterprise software firms. What unites them is that they all have complex customer journeys spanning multiple touchpoints and need to understand audiences across channels to drive conversions.
These are unmistakably mature, established enterprises. The employee counts tell the story immediately, with most companies employing hundreds to thousands of people. Many are publicly traded or have raised significant late-stage funding. I see repeated mentions of "over X years of experience," regulatory compliance, and multi-country operations. Even the smaller companies in this dataset typically have 50-200 employees and established market positions. These aren't scrappy startups testing product-market fit. They're organizations with complex tech stacks, multiple business units, and sophisticated marketing operations.
๐ง What other technologies do Adobe Audience Manager customers also use?
Source: Analysis of tech stacks from 8,675 companies that use Adobe Audience Manager
Commonly Paired Technologies
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Shows how much more likely Adobe Audience Manager 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 Adobe Audience Manager users are typically large, security-conscious enterprises with sophisticated customer experience operations. The presence of tools like Proofpoint Security Training, Navex One, and OneLogin tells me these are companies dealing with sensitive customer data at scale, likely in regulated industries where compliance and security training aren't optional but mandatory. They're the kind of organizations that need enterprise-grade identity management and governance frameworks.
The pairing of Qualtrics with Adobe Audience Manager is particularly telling. These companies aren't just collecting behavioral data, they're actively surveying customers and connecting that feedback to audience segments. They're trying to understand the "why" behind customer actions, not just the "what." Similarly, Salesforce Service Cloud appearing alongside Audience Manager suggests these organizations are connecting customer service interactions back to their marketing efforts. They want service agents to understand who they're talking to and which segment that customer belongs to. Docker Hub's presence indicates these companies have mature engineering teams that can actually operationalize the complex data pipelines Audience Manager requires.
My analysis shows these are marketing-led enterprises in the growth or mature stage. They've moved past basic marketing automation and are investing in customer data platforms that require serious technical implementation. The security and compliance tools suggest they're likely in financial services, healthcare, or retail where customer data governance is critical. They're not startups experimenting with growth tactics. They're established companies with multiple customer touchpoints trying to create unified profiles across channels.
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