Need advice about which tool to choose?Ask the StackShare community!
FullStory vs Google Analytics: What are the differences?
Key Differences between FullStory and Google Analytics
FullStory and Google Analytics are both powerful tools used for gathering data and insights about website visitors, but they differ in several key aspects.
Data Collection: FullStory records and captures every user interaction on a website, providing a detailed session replay of each visitor's journey. In contrast, Google Analytics primarily focuses on aggregated data and metrics, such as pageviews, sessions, and bounce rates. FullStory enables a deep dive into individual user interactions, while Google Analytics offers a broader view of overall website performance.
Session Replay: FullStory provides session replay functionality, allowing website owners to watch recordings of each visitor's session. This feature offers valuable insights into user behavior, helping to identify pain points, UX issues, and conversion roadblocks. Google Analytics, on the other hand, does not provide session replay functionality, focusing instead on data analysis and reporting.
Heatmaps and Clickmaps: FullStory offers heatmaps and clickmaps that visually represent where users click, scroll, or move their mouse on a website. These visual aids provide a comprehensive understanding of user engagement and behavior. Google Analytics does not provide this feature by default, although it can be achieved with some additional customization using Google Analytics Enhanced Ecommerce or third-party plugins.
Segmentation Capabilities: FullStory provides powerful segmentation capabilities, allowing users to create custom segments based on various filters, such as geography, device type, or interaction events. This segmentation helps analyze and understand user behavior within specific groups. While Google Analytics also offers segmentation, FullStory's capabilities are more robust and provide a granular view of user interactions.
Integration with Other Tools: FullStory integrates well with other tools and platforms, such as customer support software, marketing automation systems, and A/B testing platforms. This integration enables a more holistic view of user data and allows for cross-functional analysis. While Google Analytics supports integrations with various platforms, FullStory offers a more seamless and comprehensive integration experience.
In summary, FullStory and Google Analytics differ in terms of data collection, session replay capabilities, heatmaps and clickmaps, segmentation capabilities, and integration with other tools. FullStory offers a more detailed and individual-centric view of user behavior, enhancing the ability to identify and address user experience issues. On the other hand, Google Analytics provides aggregated data and broader performance metrics for analyzing website performance as a whole.
Pros of FullStory
- See full user sessions8
- "Skip inactivity" during playback5
- Playback console errors as they happen5
- Speed up playback5
- Easy integration through Segment3
- Segment users based on actions3
- User event stream3
- CRAZY expensive after free plan1
Pros of Google Analytics
- Free1.5K
- Easy setup927
- Data visualization891
- Real-time stats698
- Comprehensive feature set406
- Goals tracking182
- Powerful funnel conversion reporting155
- Customizable reports139
- Custom events try83
- Elastic api53
- Updated regulary15
- Interactive Documentation8
- Google play4
- Walkman music video playlist3
- Industry Standard3
- Advanced ecommerce3
- Irina2
- Easy to integrate2
- Financial Management Challenges -2015h2
- Medium / Channel data split2
- Lifesaver2
Sign up to add or upvote prosMake informed product decisions
Cons of FullStory
- Expensive2
- If you're using it via Segment, it's all or nothing1
- We'll never get through all the sessions recorded1
- Doesn't integrate with our exception monitoring1
Cons of Google Analytics
- Confusing UX/UI11
- Super complex8
- Very hard to build out funnels6
- Poor web performance metrics4
- Very easy to confuse the user of the analytics3
- Time spent on page isn't accurate out of the box2