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LIFT ANALYSIS

Understand the incremental lift of marketing activities

See the causal impact of a certain touchpoint or activity without running an experiment. For example, you can measure how likely people who have seen your specific campaign are to become an opportunity vs. those who haven't.

KEY FEATURES

Measure influence without user data

Lift measures the influence of a specific marketing activity on a specified variable like demos, subscribers, sales, or revenue by comparing people who experienced the activity (exposed) vs. those who didn’t (control), then measuring the difference.

KEY FEATURES

Create control groups retroactively, without experimentation

Lift uses historical data to create retroactive control groups: holdout groups who haven’t experienced a certain marketing activity. Now you can measure the influence of new channels, campaigns, or touch-points fast, without a data science team or without running an actual experiment.

KEY FEATURES

Validate attribution with incrementally

Do LinkedIn ad impressions drive demos, even if they don’t get clicked? What keywords drive qualified pipeline and revenue? What pre and post demo touch-points do paid buyers engage with most?

What's possible?

Campaign lift

Will you lose any sales if you paused branded search campaigns? Do LinkedIn ad impressions drive leads, even if people don't click? Does a certain channel influence deals more than another?
Lift will tell you.

Content lift

What impact doe website live demo views have on demos booked? Does you in-feed content influence your leads? Does a specific product page influence more than others?
Lift will tell you.

Program lift

How much influence does your newsletter have on leads? Do viewers of your video series convert higher than non-viewers? If you stopped blogging, would it matter?
Lift will tell you.

Messaging lift

Does your messaging motivate action? Does your new ad creative drive more meetings than your old? Does your updated homepage influence SQLs more than before?
Lift will tell you.

Template Libary

Dave Gerhardt's CMO Dashboard

How does former CMO and current Exit Five founder, Dave Gerhardt, report on marketing's performance to the exec team?

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.