#ADOBE VISITOR CLICK MAP FREE#
Create a free click map and increase conversions todayĬlick maps are a quick and easy way to see what people are really doing on your site.
#ADOBE VISITOR CLICK MAP HOW TO#
Using Hotjar, you can quickly set up recordings and surveys (our name for on-site feedback surveys) alongside heat maps on your website or product page to get all the product experience (PX) insights you need to make optimizations and improve UX.įurther reading: check out how to combine heatmaps and other tools for extra insight, and learn how SaaS company CCV Shop used click maps in combination with session recordings to increase conversion rates and customer satisfaction. To do that, you can combine quantitative click map insights with qualitative insight from user feedback surveys and session recordings. In summary, working with Adobe clickstream allows for more powerful analysis, but new-to-clickstream analysts should be cautious with their queries to ensure the best apples to apples comparison with the Adobe Analytics interface.Click maps are great at showing you what users click and tap on, but that's only part of the story-you still need to understand why users click (or, perhaps more urgently: why they fail to).
The rule you use is completely dependent on the event number that you are trying to map to clickstream.įor example, event 10 in the Adobe Analytics interface appears as 209 in the event_list column of the clickstream data. To get the correct corresponding value in the clickstream data, you must follow one of two rules. It won’t take long working to figure out that the event numbers in the Adobe Analytics interface don’t map to the event numbers in the clickstream data.įor example, event 10 in the Adobe Analytics interface does not translate to “10” in the event_list column of the clickstream data. Unlike props and eVars, success events in Adobe clickstream are grouped together into one column, event_list. Mapping Events from Adobe Analytics to Adobe Clickstream This column will populate the data when the event or action is captured and continue to populate it based on the how the specific eVar is setup in the Adobe Analytics interface. In order to get the “stickiness” of the eVar, you must use the post_eVar column. Querying these fields, you will see that the data only exists on the line where the action or event is captured and is not carried through on any additional rows. The eVar column behaves more like a prop and does not have any of the “stickiness” properties that eVars have in the Adobe Analytics interface. In the Adobe clickstream data there are two different types of eVar columns: an eVar and a post_evar. However, any internal IP addresses that have been added in the interface are not excluded from the clickstream data. The Adobe Analytics interface automatically filters out bot traffic in the clickstream data as long as the report suite setting of ‘exclude bot traffic’ is turned on. Understanding which filters the Adobe Analytics interface has already applied can save a lot of headache down the road when validating query results against the interface or when trying to explain differences in reports. Without knowing what filters have already been applied to the data, it can be hard to know what filters to include in your query. By default, the clickstream data file doesn’t have all the filters applied by that the Adobe Analytics interface does. Naturally, we were confused when even the most basic queries didn’t match. The first time we ran a query, we tried to QA our results against the numbers inside the Adobe Analytics interface. Whether your company is switching from using the Adobe Analytics Interface to clickstream data, or if you are new to clickstream in general, here are three things we wish I knew the first time we used clickstream data: Adobe Analytics may filter more data than you realize However, without understanding some basic concepts about the clickstream data format, accurate reporting can be difficult and time consuming. This is where clickstream data, or the raw underlying data that populates the Adobe Analytics Interface, can be utilized. However, there is often a business need for automation, more detailed analysis, or the integration of numerous data sources. Click maps provide a comprehensive visual representation of your visitors’ digital journeys at any given moment in time, no matter what device they use. The Adobe Analytics interface allows for quick and easy access to web data.
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