HockeyStack uses marketing mix modeling (MMM), incremental modeling, predictive modeling, and attribution modeling to measure, forecast, and predict marketing contribution across your entire GTM.
Marketing mix modeling measures the incremental contribution of macro-level marketing activities like brand and channel performance, online and offline, paid and organic. With MMM, we can forecast revenue, simulate different budget scenarios, and eliminate wasted spend across your entire channel mix without needing user-level data.
We use lift reports (incrementality testing) to measure the incremental revenue influence of channels and campaigns. For example, if you want to understand how likely people who have seen your specific campaign are to become an opportunity vs. those who haven't; or, how likely your audience is to book a demo if they read your blogs versus those who didn't.
.png)
Forecast your paid spend and get budget recommendations based on your budget and pipeline goal using Marketing Mix Modeling.
.png)
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.
Better marketing through better measurement.
Measure baseline revenue (revenue from sales that come to you on their own, without direct response ads) so you can better measure the long term effectiveness of brand activity.
Statistical modeling helps better understand the cause and effect relationship between activities and outcomes so you can cut spend from programs that don’t drive incremental revenue.
Measure effectiveness online and offline, from cTV and paid media to traditional TV and print.
Zoom in on specific ad creative or blog posts to estimate their incremental influence on pipeline.
Leverage historical data to forecast future revenue targets and the activities and spend you’ll need to hit them.
Simulate what new customer growth would look like at different budgets, and identify points of diminishing return on ad platforms before you hit them so you don’t waste money.
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
.png)
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
.png)
.svg)