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Autotrack vs Google Analytics: What are the differences?
What is Autotrack? Open source lib for automatic and enhanced Google Analytics tracking for common user interactions on the web (by Google). It provides default tracking for the interactions most people care about, and it provides several convenience features (e.g. declarative event tracking) to make it easier than ever to understand how people are interacting with your site.
What is Google Analytics? Enterprise-class web analytics. Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.
Autotrack and Google Analytics can be primarily classified as "General Analytics" tools.
Autotrack is an open source tool with 4.47K GitHub stars and 482 GitHub forks. Here's a link to Autotrack's open source repository on GitHub.
According to the StackShare community, Google Analytics has a broader approval, being mentioned in 15335 company stacks & 2438 developers stacks; compared to Autotrack, which is listed in 3 company stacks and 13 developer stacks.
We have integrated Panelbear on our Website, rather than Google Analytics, because it is way more respecting of the User's Privacy. Whilst Google Analytics gives us in-depth information on virtually everything, we don't even need that much. Panelbear keeps it simple and in addition to that, displays the data well structured in a simple and intuitive dashboard
Pros of Autotrack
Pros of Google Analytics
- Free1.5K
- Easy setup926
- Data visualization890
- Real-time stats698
- Comprehensive feature set405
- Goals tracking181
- Powerful funnel conversion reporting154
- Customizable reports138
- Custom events try83
- Elastic api53
- Updated regulary14
- Interactive Documentation8
- Google play3
- Industry Standard2
- Walkman music video playlist2
- Advanced ecommerce2
- Medium / Channel data split1
- Easy to integrate1
- Financial Management Challenges -2015h1
- Lifesaver1
- Irina1
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Cons of Autotrack
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