Hotjar Vs Crazy Egg: Which Analytics Tool is the Best for Your Project Management Needs?
Are you searching for a project management software that comes with an analytics tool? Look no further than Hotjar and Crazy Egg - these are two of the most popular tools available in the market today. But which one of these analytics tools is better?
In this article, we'll take an impartial look at both tools to help you choose the right one for your project management needs.
Overview
Hotjar and Crazy Egg are two different types of analytics tools. Hotjar is a conversion rate optimization (CRO) tool that helps you analyze user behavior on your website or application. On the other hand, Crazy Egg is a heat mapping tool that shows you where users are clicking on your website.
Features
Hotjar is equipped with standard features such as heat maps, session recordings, conversion funnel tracking, surveys, and polls, while Crazy Egg has a similar set of features with heatmap, scroll maps, and a/b testing.
Hotjar's surveys and feedback forms are unbeatable in its competitors. Specifically, you can come up with a follow-up question based on the response of the user. In contrast, Crazy Egg is more focused on heat maps as an insight tool.
User Interface
When it comes to the user interface (UI), Hotjar's interface is more colorful and intuitive compared to Crazy Egg's interface. Crazy Egg's UI is cluttered with data, and it can be challenging to find what you're looking for at first.
Pricing
Pricing for both tools is similar. Hotjar starts at $89/month, while Crazy Egg starts at $24/month.
Customer Support
Both tools offer excellent customer support, including live chat and email support as well as FAQ sections and tutorial videos.
Conclusion
While both Hotjar and Crazy Egg are great analytics tools, it all depends on your needs. If you're looking for more advanced features like sessions recording, funnel tracking, and surveys, Hotjar is a good option. But if you're looking for a heat mapping tool, Crazy Egg is the better pick.
In general, it's wise to consider what analytics tools you currently have in place, what you need, and what exactly you want to achieve with the data you collect.
So, which one will you choose? Let us know in the comments.
References
Enjoy your data!