Replace arbitrary lead scoring with the precision of A.I.
HockeyStack uses predictive analytics to identify buying intent by comparing current journeys to historical closed/won journeys. Say goodbye to unreliable lead scoring. Say hello to high-intent leads.
Take the guesswork out of intent scoring
Stop guessing what a high-intent journey looks like based on page visits or behaviors. HockeyStack knows- we track and analyze journeys from people who actually bought. Replace arbitrary points systems with the precision of machine learning.
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Prioritize high intent leads for sales targeting
HockeyStack uses reverse IP-lookup to reveal identities of high-intent accounts before they reveal themselves. Now marketing can feed sales with prospects you know want to buy. Marketing and sales, aligned.
Increase response rates with personalized outreach
HockeyStack tracks touchpoints of every member in a high-intent account. See who in the buying committee has visited your website and what pages they’ve visited so you can tailor outbound messaging to their interests.
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Distribute content buyers want most
What content influences high-intent prospects and buyers most on their path to purchase? Distribute that content with paid and organic promotion to prime future prospects with information that drives incremental contribution.
Features
Automated alerts
Send automated Slack or email alerts to sales when the algorithm identifies high intent, complete with company info and a direct link to their buyer journey inside HockeyStack.
List exports
Export high-intent accounts via CSV so you can import them into your paid ads platforms or sales sequencing for efficient targeting.
High-intent cohorts
Analyze high-intent accounts deeper by segmenting them into a custom cohort. Further splice that segment by ICP, product, region, or another criteria to see how different buyers buy.
Iterative modeling
HockeyStack uses historical closed/won touchpoints to train its predictive algorithm. Over time, as you accumulate more closed/won journeys, the algorithm gets more accurate on its own.
Features
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Automated alerts
Send automated Slack or email alerts to sales when the algorithm identifies high intent, complete with company info and a direct link to their buyer journey inside HockeyStack.
.png)
List exports
Export high-intent accounts via CSV so you can import them into your paid ads platforms or sales sequencing for efficient targeting.
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High-intent cohorts
Analyze high-intent accounts deeper by segmenting them into a custom cohort. Further splice that segment by ICP, product, region, or another criteria to see how different buyers buy.
.png)
Iterative modeling
HockeyStack uses historical closed/won touchpoints to train its predictive algorithm. Over time, as you accumulate more closed/won journeys, the algorithm gets more accurate on its own.
Cognism’s Demand Campaign Optimization with HockeyStack
Discover how the demand generation team at Cognism uses HockeyStack to gain radical alignment around revenue and optimize their inbound and outbound pipelines.
“HockeyStack is an amazing end-to-end attribution tool! The amount of insights you could get is unmatched. It basically shows your funnels in another perspective.”
Oneflow Doubles Visitor to MQL Rate Using HockeyStack
How OneFlow used cohort reports, incremental lift, and multi-touch attribution to gain visibility into what channels, campaigns, and creatives influenced purchases so they could optimize ad campaigns for pipeline and revenue, not just platform metrics
“We use HockeyStack as a web analytics + revenue attribution platform with complete view into the customer lifecycle. Most of our quarterly OKRs and target metrics are measured directly from HockeyStack.”
How Whatfix Optimizes Their Content With HockeyStack
Discover how the content team at Whatfix uses HockeyStack to understand how content influences their pipeline and to showcase content’s impact across opportunities where they previously had no data.
“Now we can nail down attribution to identify both contacts and companies that have engaged with any of our content at any time in their buying journey.”