Estimate incremental lift for campaigns, creatives, and content
Zoom in on specific marketing activities and touchpoints and measure their incremental contribution to leads, demos, subscriptions, or sales by using control and treatment groups.
Measure influence without personal user data
Lift estimates the incremental impact (results that would not have happened without a tactic) that a touchpoint like a blog post or ad click had on a variable like demos, sales, or subscriptions by comparing people who experienced the activity (exposed) vs. those who didn’t (control).
Create control groups retroactively, without experimentation
Lift uses historical customer journey data to create retroactive control groups: holdout groups who haven’t experienced a certain marketing activity. Now you can measure the influence of new channels, campaigns, or touchpoints fast, without a data engineering team or experimentation.
Validate attribution with incrementality
Attribution tells you which touchpoints your customers encounter; Lift tells you which of those touchpoints had influence on a desired outcome. Together, you can validate and cross-verify marketing’s contribution to growth.
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What’s possible?
Measure contribution, without turning anything off.
Campaign lift
Would you lose any sales if you paused branded search campaigns? Do LinkedIn ad impressions drive leads, even if people don’t click? Does a certain channel influence deals more than another? Lift will tell you.
Content lift
What impact does website live demo views have on demos booked? Does your in-feed education drive leads later? Does a specific product page influence sales more than others? Lift will tell you.
Program lift
How much influence does your newsletter have on leads? Do viewers of your video series convert higher than non-viewers? If you stopped blogging, would it matter? Lift will tell you.
Messaging lift
Does your messaging motivate action? Does your new ad creative drive more meetings than your old? Does your updated homepage influence SQLs more than before? Lift will tell you.
What’s possible?
Measure contribution, without turning anything off.
Campaign lift
Would you lose any sales if you paused branded search campaigns? Do LinkedIn ad impressions drive leads, even if people don’t click? Does a certain channel influence deals more than another? Lift will tell you.
Content lift
What impact does website live demo views have on demos booked? Does your in-feed education drive leads later? Does a specific product page influence sales more than others? Lift will tell you.
Program lift
How much influence does your newsletter have on leads? Do viewers of your video series convert higher than non-viewers? If you stopped blogging, would it matter? Lift will tell you.
Messaging lift
Does your messaging motivate action? Does your new ad creative drive more meetings than your old? Does your updated homepage influence SQLs more than before? Lift will tell you.
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.”