AI Modeling
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 hundreds of revenue teams
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 incrementally
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?
Basic 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.
Incrementally
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.
Forecasting
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.
Chris Wood, Director of Demand Generation at ActiveCampaign, shares how HockeyStack empowered their team to overcome BI challenges, and optimize LinkedIn performance.
“HockeyStack is allowing us to understand trends over time and also predict where to go next.”
The team at Bitmovin knew their channels were working well together, but manual stitching across platforms and spreadsheets was consuming time that should have been spent on improving performance. That's when they decided to bring in HockeyStack to help clarify what was working for the boss.
"Just today, our CEO reviewed dashboards to evaluate the effectiveness of specific assets, and he found the Lift reports helpful in seeing positive or negative impacts"
The team at Bloomreach needed to paint a clearer picture of marketing’s value and use data to validate spend. And they could do this more effectively at Bloomreach if they knew exactly how their experiences led to sales. That's when they decided to bring on HockeyStack.
We’re able to do the tracking (not just on a converted contact) but to also see what happens before they actually convert. That has really opened up our teams to feel like what they’re doing is having an impact.
The team at Dice was looking for more than last-touch attribution to understand the customer journey. But the data was sprawling and hosted in several tools, and even then, the picture just wasn't complete. That's when they brought in HockeyStack to enrich and enhance their understanding.
“HockeyStack gave us one connected buyer journey that we could see, which gave us the ability to look at our data on multiple attribution models and to really make those types of budgeting decisions at different levels.”
How OneFlow used cohort reports and multi-touch attribution to gain visibility on their audience, and optimize ad campaigns for pipeline and revenue.
.webp)
“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.”
Rowan Tonkin, CMO of Planful, shares how HockeyStack enhances visibility and empowers marketing teams to efficiently analyze performance and gain comprehensive insights.
"We looked at other technologies that were both attribution based and non attribution based. HockeyStack gave us the best of both worlds."
Discover how the content team at Whatfix uses HockeyStack to understand how content influences their pipeline and to showcase content’s impact.
.webp)
“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.”
Frequently Asked Questions
Can't find your answers here?
Connecting all of your data sources takes just a few minutes. The onboarding process, which includes building initial dashboards, user training, and setting goals, takes four weeks on average. Most customers see the value within the first 45 days.
You need to have a marketing operations / revenue operations resource to implement HockeyStack efficiently, but HockeyStack doesn't require any coding, and all functionality is self-serve.
HockeyStack integrates with leading CRM, ABM, Marketing Automation, and advertising platforms. Learn more about our integrations.
HockeyStack helps you create and capture more pipeline by showing you the holistic funnel and buyer journey instead of just department-level analytics. It is fully customizable and is the only tool that allows you to build any report you need without any code. Learn more about what makes us different.
Analytics platforms usually use cookies to track users. Use of cookies has recently come under scrutiny by privacy legislators, and have been severely restricted.
Everything you see here works without cookies by default. You still have the option to switch to cookie-based tracking. Read our article on our cookieless tracking technology to learn more.
We store your data on AWS servers in Frankfurt, Germany. We don't collect any personal information by default, including IP addresses. We follow GDPR and CCPA regulations. Read our privacy policy to learn more.
