Uncover every touchpoint, from first touch to closed won
Connect data from your ad platforms, CRM, website, and tech stack, and map the customer journey from first touch to closed/won.
Gut check performance in real-time
MTA is correlative, not causal. That means it can tell you which touchpoints someone encountered, not how much influence each touchpoint had on a purchase. Use it to gut check performance in real-time and surface preliminary insights, not to measure contribution.
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Zoom in on owned media performance
Even sophisticated algorithms can’t zoom in on owned media. For example, do subscribers spend more than non-subscribers? How many organic blog entrances end in a purchase later? Does your automated sales sequence drive pipeline? Attribution will tell you.
Optimize paid campaigns for revenue
MTA is perfect for direct response conversion tracking. Do LinkedIn ad impressions drive demos, even if they don’t get clicked? What keywords drive qualified pipeline and revenue? What pre and post demo touchpoints do paid buyers engage with most? Attribution will tell you.
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Build a first-party dataset you can model
MTA can’t measure contribution directly, but we can model the dataset with statistical algorithms to estimate the incremental lift of each touchpoint and to identify high-intent buyers based on their overlap with historical closed/won journeys.
Gain deeper insights with cohort-level analysis
With MTA, you can segment prospects and buyers into cohorts using trackable touchpoints as filters. For example, compare subscribers vs. non-subscribers, ICP vs. ICP, live demo users vs. non-demo users, or people from different regions, company sizes, or channel sources.
What's possible?
Real-time, directional insights
Replace arbitrary attribution models
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.
Shine a light on the dark funnel
HockeyStack tracks previously dark touchpoints, like podcast listens, LinkedIn ad impressions, gifts received, event interactions, and self-reported attribution from form fills.
Analyze buyer cohorts independently
Segment groups of visitors and customers into cohorts and analyze their customer journeys and buying behavior independently.
Visualize journeys chronologically
Analyze the independent journeys of everyone in the buying committee, grouped into a single account-level journeys side by side. Learn more.
What's possible?
Real-time, directional insights
.png)
Replace arbitrary attribution models
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.
.png)
Shine a light on the dark funnel
HockeyStack tracks previously dark touchpoints, like podcast listens, LinkedIn ad impressions, gifts received, event interactions, and self-reported attribution from form fills.
.png)
Analyze buyer cohorts independently
Segment groups of visitors and customers into cohorts and analyze their customer journeys and buying behavior independently.
.png)
Visualize journeys chronologically
Analyze the independent journeys of everyone in the buying committee, grouped into a single account-level journeys side by side. Learn more.
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.”