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.
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.
Frequently asked questions
Our implementation is self serve, and onboarding is designed to be quick and streamline your path to value. Our customers get initial GTM insights within 24 hours. Our dedicated customer success team provides high-quality support and resources to ensure smooth AI adoption and help you effectively integrate our AI agents into your existing GTM strategies.
AI agents are only as good as the data they’re trained on. Without access to accurate, well-organized, and contextual information about your business, they produce outputs that are often irrelevant or unreliable.
HockeyStack connects directly to your GTM tech stack, ingesting both structured and unstructured data across marketing, sales, product, and customer success. We clean, organize, and categorize this data to ensure your AI agents are grounded in accurate, up-to-date information.
You also have the ability to customize and edit the context your AI agents operate in, ensuring they understand your business as deeply as you and your team do.
Over time, HockeyStack AI Agents continuously learn from your company’s real activities, strategies, and decisions, automatically refining their recommendations and actions.
The result is trustworthy, business-aware outputs that drive meaningful results from day one, and only improve over time.
While having a GTM or revenue operations resource can help streamline implementation, HockeyStack is built as a fully self-serve GTM AI platform and doesn’t require any coding. Our AI agents, Odin and Nova, make it easy to analyze touchpoint data and surface next best actions—no technical knowledge needed.
HockeyStack integrates with leading CRM, ABM, Marketing Automation, Sales Outreach, and advertising platforms. Learn more about our integrations.
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