We detected 293 companies using Splunk AppDynamics. The most common industry is Software Development (10%) and the most common company size is 10,001+ employees (29%). We find new customers by detecting live technical signals.
Note: This page only tracks companies that use Splunk AppDynamics. We also track all companies that use Splunk Cloud separately.
Source: Analysis of Linkedin bios of 293 companies that use Splunk AppDynamics
Company Characteristics
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Shows how much more likely Splunk AppDynamics 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
Company Size: 10,001+
67.7x
Company Size: 5,001-10,000
57.9x
Company Size: 1,001-5,000
31.7x
Industry: Financial Services
11.6x
Country: United States
4.1x
My analysis shows Sprung's typical customer operates in industries where digital platform reliability directly impacts business operations. These companies build and sell products through complex digital systems, whether that's financial services platforms, retail commerce systems, or utilities infrastructure. They're organizations where digital platform performance isn't just a nice-to-have but fundamental to business model execution. What they actually do is deliver products to customers through intricate digital architectures where digital system reliability equals business continuity.
My analysis shows these are mature enterprises, not early-stage startups. Multiple signals tell me this: they're organizations with intricate organizational structures, complex operational systems, and well-established market positions. They're "leading" or "premier" organizations with well-developed organizational systems. These aren't companies seeking first customers but organizations with intricate operational architectures where digital platform reliability impacts business operations. They're well-established market participants with complex organizational systems.
🔧 What other technologies do Splunk AppDynamics customers also use?
Source: Analysis of tech stacks from 293 companies that use Splunk AppDynamics
Commonly Paired Technologies
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Shows how much more likely Splunk AppDynamics 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 Splunk AppDynamics users are predominantly large, enterprise-scale organizations with sophisticated data governance needs and complex customer experience programs. The presence of tools like Collibra for data governance and Palantir Foundry for data integration signals these are companies managing massive datasets across multiple systems. Combined with AppDynamics for application performance monitoring, this suggests organizations running mission-critical digital operations where downtime or performance issues have serious business consequences.
The pairing with Qualtrics appearing 520 times more frequently is particularly revealing. These companies aren't just monitoring their technical infrastructure, they're actively measuring customer experience and trying to connect application performance to business outcomes. When you add Adobe Audience Manager into the mix, appearing 330 times more often, it becomes clear these are customer-facing businesses investing heavily in personalization and targeted marketing. They need AppDynamics because their revenue depends on flawless digital experiences. The Cyberark presence reinforces that these are security-conscious enterprises with strict compliance requirements, likely in regulated industries.
My analysis shows these are definitively enterprise sales-led organizations, probably in mature growth stages or well-established market positions. The tech stack screams complexity and significant IT budgets. These aren't scrappy startups experimenting with tools. They're running sophisticated operations that require data governance frameworks, enterprise identity management, and professional video creation capabilities through Powtoon Enterprise. This combination suggests companies with large employee bases that need to communicate internally at scale while also delivering polished customer experiences.
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