Measure, forecast, and predict contribution.

HockeyStack uses marketing mix modeling (MMM), incremental modeling, predictive modeling, and attribution modeling to measure, forecast, and predict marketing contribution across your entire GTM.

Trusted by GTM teams around the world
Marketing mix modeling (MMM)

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. 

Go beyond attribution with incrementality

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.

Forecasting and budgeting

Forecast your paid spend and get budget recommendations based on your budget and pipeline goal using Marketing Mix Modeling.

What’s possible?

Pair self-attribution with software-attribution. Make better decisions.

Multi-level attribution

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.

Multi-level attribution

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.

What’s possible?

Better marketing through better measurement.

Baseline revenue

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. 

Online and offline

Measure effectiveness online and offline, from cTV and paid media to traditional TV and print.

Paid and organic 

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.

Budget optimization

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.

What’s possible?
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Maximizing the Pipeline ROI with HockeyStack

Find out how Cognism's marketing team leverages HockeyStack to pinpoint effective strategies and optimize their inbound pipeline towards efficient growth.

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Return on ad spend in paid social


Increase in spend:pipeline ROI

3 days

saved every month from manual reporting

“HockeyStack's integration with my entire tech stack has been a game-changer. The amount of insights you get is unmatched. It basically shows your funnel in another perspective.”
Canberk Beker
Ex-Group Head of Paid at Cognism
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

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Paid ROI in the pipeline


form submission in a quarter


visitor to MQL increase with LinkedIn ads

“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.”
Anand Nambiar
Head of Demand Gen, Marketing & MarkOps
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.

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increase in content-influenced opportunities


increase in opportunities


increase in won deals

“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.”
Levi Olmstead
Associate Director, Content Marketing

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.

Marty Goldman, Regional Sales Manager
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