Heap vs Google Analytics
Heap vs Google Analytics
Heap is a Google Analytics alternative that:
- Was built to understand user behavior, not just marketing spend
- Goes beyond GA’s session and pageview count metrics
- Automatically captures clicks, field
changes, and form submissions
- Delivers a complete, cross-device
view of your users
Built to understand user behavior, not marketing spend
Understand User Behavior
While Google Analytics was made to help digital marketers with advertising spend, Heap was built to provide insights into what users actually do in your product – what actions they take, how they convert, what customer segments they come from, and more.
Unlike Google Analytics, Heap enables granular insight into every step of the customer journey, giving product and marketing teams the power to build exceptional digital experiences that convert and retain users.
Robust analysis, not vanity metrics
Slice and dice funnels by user and event properties. Dynamically compare user segments and deeply understand user retention. Account based analysis for B2B companies.
Heap’s reporting tools go beyond the session and pageview counts of Google Analytics, giving you granular insights into customer behavior and letting you see how people behave in your product, not just how many times they’ve been there.
Buttons, drop-downs, and forms – out of the box
While Google Analytics only tracks sessions and pageviews, Heap automatically captures clicks, field changes, and form submissions, even as you make updates and add new features.
Heap enables a complete view of user engagement, letting you understand feature usage and user friction without endless engineering effort.
A complete view of your users
The modern user journey takes place across multiple visits, devices, and platforms. Unfortunately, Google Analytics only partially combines anonymous and identified user behavior, and can’t combine cross-device behaviors longer than 90 days apart.
Heap doesn’t have these limitations. With Heap, you can follow customer journeys of any length and complexity, optimizing retention and conversion no matter what devices or platforms your customers use, or when they used them.
Heap vs Google Analytics for Product Analytics
See how we compare on key features
Why Casper switched to Heap
Implementing GA was too resource-intensive.
When attempting to understand granular user engagement, it was impossible to get data and answer questions quickly.Read the Casper success story