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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.

KEY FEATURES

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.

KEY FEATURES

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.

KEY FEATURES

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.

Frequently Asked Questions

Can't find your answers here?

How long does the setup and onboarding take?

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.

Do I need technical knowledge to implement Hockeystack?

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.

What tools do you integrate with?

HockeyStack integrates with leading CRM, ABM, Marketing Automation, and advertising platforms. Learn more about our integrations.

What makes HockeyStack different?

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.

What is cookieless tracking and how does it work?

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.

Where do you store the data? How privacy-friendly is HockeyStack?

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.