7/6/2023 0 Comments Programming a click map![]() They show the exact page elements that your users click. Click mapsĬlick maps are more detailed than scroll maps. That’s why it’s important to supplement scroll maps with additional insights. A scroll map for such a page may well show a steep drop-off of visitors after the top section, but it’s not necessarily an indicator of bad performance. a clear call-to-action button that takes them straight to the next step). Remember that sometimes a page will give users everything they need right at the top (e.g. They can also help you sp ot whether critical sections are placed close enough to the top for most users to see them. Scroll maps are great for analyzing the performance of your longer pages. The lower sections of the page then get progressively bluer, depending on the percentage of users who scroll down that far. Instead of showing engagement levels with many individual page elements, scroll map s simply reflect how far users scroll down a page.Ī scroll map splits the page into large horizontal sections, starting with red a t the top of the page, which every user is likely to see. A heatmap records this data and turn s it into a multi-colored map of the page that’s more easily digestible and more meaningful than the data points presented on their own. Heatmap analytics collect data about how users interact with a page: what they clic k, how far they scroll, and even where they place the mouse cursor. A heatmap can also help you optimize on-site customer journeys by flagging web page areas that need improvement. ![]() ![]() Heatmaps are useful for understanding whether your page elements like but tons and forms work as intended. The colored areas of the heatmap tell you which elements of the page your users engage with the most and which tend to get scrolled past and ignored. ![]() When it comes to analyzing a website, a heatmap typically takes the form of a semi-t ransparent overlay mapped onto an individual web page. Typically, these colors will range from blue (low user activity) to red (high user activity). They rely on a color code to highlight hotspots of user activity. Heatmaps are a highly visual w ay to represent data points. How to combine heatmaps with other analytics tools. ![]()
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