We detected 292 customers using Hockeystack and 13 companies that churned or ended their trial. The most common industry is Software Development (50%) and the most common company size is 51-200 employees (33%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: Our data tracks companies with HockeyStack's tracking script on their website and may not include users who only use the platform for CRM or ad platform analytics
About Hockeystack
Hockeystack unifies marketing, product, and sales data across the customer lifecycle to serve as a single source of truth for B2B go-to-market and revenue operations teams. The platform provides full lifecycle multi-touch attribution, account intelligence, and AI-powered analytics to help teams optimize spend and drive revenue efficiently.
📊 Who in an organization decides to buy or use Hockeystack?
Source: Analysis of 100 job postings that mention Hockeystack
Job titles that mention Hockeystack
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Based on an analysis of job titles from postings that mention Hockeystack.
Job Title
Share
Marketing Operations Manager
21%
Marketing Analytics Manager
16%
Demand Generation Manager
13%
Director of Marketing/Growth
12%
I noticed that HockeyStack buyers are predominantly Marketing Operations Managers (21%), Marketing Analytics Managers (16%), and Demand Generation Managers (13%), with Directors of Marketing and Growth (12%) also playing key purchasing roles. These leaders are building sophisticated marketing technology stacks and are responsible for proving marketing ROI to executives. Their job postings emphasize the need to connect marketing performance to pipeline and revenue outcomes, suggesting they're purchasing HockeyStack to solve attribution challenges and demonstrate marketing's business impact.
On the ground, HockeyStack users are marketing analysts, operations specialists, and demand generation practitioners who work with it daily alongside tools like Salesforce, HubSpot, Google Analytics, and 6Sense. They're building dashboards, running attribution analyses, optimizing campaigns across channels, and managing lead lifecycle processes. These practitioners need to consult with marketers to interpret data, validate new data sources, and create self-service reporting capabilities for cross-functional teams.
The pain points are strikingly consistent. Companies want to "connect marketing performance to real outcomes" and "translate marketing reporting into actionable insights." Multiple postings emphasize the need to "optimize multi-touch attribution models" and provide "visibility into buyer journeys and marketing impact." One role specifically calls for someone to "help shape strategies, guide decisions, and boost productivity" using HockeyStack and Salesforce together. The underlying theme is clear: these organizations are moving beyond vanity metrics to prove how marketing drives pipeline and revenue growth.
🔧 What other technologies do Hockeystack customers also use?
Source: Analysis of tech stacks from 292 companies that use Hockeystack
Commonly Paired Technologies
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Shows how much more likely Hockeystack 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 something striking about companies using Hockeystack: they're running sophisticated B2B revenue operations with a heavy emphasis on account-based marketing and sales coordination. This isn't a stack built for casual lead generation. These are companies investing serious money into identifying, tracking, and converting high-value accounts through orchestrated touchpoints.
The pairing of Hockeystack with Qualified and Chili Piper tells me these companies are obsessed with speed-to-lead for their target accounts. They're using 6Sense to identify which accounts are showing buying signals, then Qualified to instantly route the right prospects to sales conversations, and Chili Piper to eliminate any friction in booking meetings. UserGems appearing so frequently suggests they're also mining relationship data to find champions who've moved to new companies. This is pipeline generation at an industrial scale.
My analysis shows these are decidedly sales-led organizations, but with marketing playing a strategic role in account identification and warming. They're likely Series B to growth stage companies with average contract values high enough to justify expensive tooling for conversion optimization. The presence of Common Room indicates they're also monitoring community and product usage signals, suggesting many sell to technical buyers who research extensively before engaging with sales.
👥 What types of companies is most likely to use Hockeystack?
Source: Analysis of Linkedin bios of 292 companies that use Hockeystack
Company Characteristics
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Shows how much more likely Hockeystack 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: Software Development
12.3x
Company Size: 51-200
2.6x
Country: US
2.0x
I analyzed these HockeyStack customers and found they cluster around B2B software and technology-enabled services. These are companies selling complex products that require explanation: SaaS platforms for specific verticals (accounting, fleet management, cybersecurity), enterprise software infrastructure, financial technology, and specialized business services. Very few are pure consumer companies. The common thread is they're selling to other businesses with considered purchase cycles, often with multiple stakeholders involved in buying decisions.
These are predominantly growth-stage B2B companies. The funding data shows a concentration in Series A through Series C, with several later-stage companies mixed in. Employee counts typically range from 50 to 500, though there are outliers on both ends. Many mention recent rapid growth, awards, or recognition. They're past the experimental phase but still scaling aggressively. They've found product-market fit and are now focused on expanding market share and proving ROI to increasingly sophisticated buyers.
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