HockeyStack uses statistical algorithms like marketing mix modeling and predictive analytics to better understand historical performance and to accurately forecast future performance.
HockeyStack models historical marketing performance data and predicts future budget scenarios for you. Now you can estimate revenue growth at different budgets and see where, when, and how much to spend to hit your targets- all in a few clicks.
HockeyStack analyzes historical trends so it can predict growth over a specific time period in the future. For example, want to see what organic traffic will look like over the next six months? Or how demo requests will grow over three months? HockeyStack will show you a forecasted growth estimate.
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With the holistic analytics, HockeyStack gives you the data to identify and cut waste, adjust investments, pinpoint opportunities, and forecast and plan with confidence.
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Pair self-attribution with software-attribution. Make better decisions.
We can track more than most, but we can’t track everything. Use self-attribution to find untrackable touch points that matter. We’ll take care of the rest.
We can track more than most, but we can’t track everything. Use self-attribution to find untrackable touch points that matter. We’ll take care of the rest.
We use machine learning to weigh the value of each touchpoint more accurately than traditional models by comparing them with touchpoints from historical closed/won journeys.
HockeyStack tracks previously dark touchpoints, like podcast listens, LinkedIn ad impressions, gifts received, event interactions, and self-reported attribution from form fills.
Find relationships between variables and outcomes that you can’t detect on your own so you can predict future outcomes with more accuracy.
Stay prepared for different scenarios so you can plan and adjust your marketing strategy accordingly.
Find out how Cognism's marketing team leverages HockeyStack to pinpoint effective strategies and optimize their inbound pipeline towards efficient growth.
Return on ad spend in paid social
Increase in spend:pipeline ROI
saved every month from manual reporting
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
Paid ROI in the pipeline
form submission in a quarter
visitor to MQL increase with LinkedIn ads
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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.
increase in content-influenced opportunities
increase in opportunities
increase in won deals
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