The traditional data platforms provide no clarity about data points; it’s not only about giving the data, it’s about showing you how to use it.
Our machine learning model learns how your campaigns contribute to your goals and provides insights into what works and to what extent.
Regardless of which ad channels you’re using or how many campaigns you’re running, you can easily see what’s going on in each channel and campaign without checking the metrics.
What if some campaigns are negatively impacting your goals or, more specifically, pipeline generation? HockeyStack identifies which campaigns have a negative influence on your goals and provides recommendations on how you can improve performance.
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.
Chris Wood, Director of Demand Generation at ActiveCampaign, shares how HockeyStack empowered their team to overcome BI challenges, optimize LinkedIn performance, and make strategic business decisions that fueled measurable growth.
efficiency, cutting budget 50% and hitting 100% of revenue target
increase in target market coverage
touchpoints recorded and understood in prospect journey
Rowan Tonkin, the CMO of Planful, talks about how HockeyStack helps them overcome visibility challenges and enables all marketing functions to efficiently analyze performance and gain comprehensive insights.
increase in opportunities
increase in ROAS
increase in pipeline
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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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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I don't often highlight tools I use in SaaS sales, but HockeyStack is an exception.
HockeyStack combines warm intent data and strong buying signals for your target accounts into a simple, user-friendly platform. Sure, you could manually gather raw data from Zoominfo, Hubspot, G2, Google, and LinkedIn, but that’s the old way of doing things.
As part of my morning coffee routine, I log into my dashboards while managing sequences on LinkedIn. These custom dashboards and filters highlight my top target accounts, helping me close deals faster.
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