Adobe dimension tutorial for beginners
See a more visual example of this breakdown below: new/repeat visitor with unique visitors). Should match visitor/user dimensions with visitor/user metrics (i.e. Main Takeaway Tip: This typically is the most hidden scope in both platforms, but can provide powerful analysis, allowing you to be more audience-focused.Adobe Analytics: Different in naming across Google Analytics (user) & Adobe (visitor). Definition: While multiple hits make up a session/visit, multiple sessions/visits make up a visitor/user.entry page with visits and bounce rate, etc.)Īdobe Analytics Visitor / Google Analytics User: Should match session/visit dimensions with session/visit metrics (i.e.
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Main Takeaway Tip: These session/visit-level items can occur once in this scope, such as entry page, region, etc.Adobe Analytics: Different in naming across Google Analytics (session) & Adobe (visit). The most heavily featured scope across both platforms. Definition: Multiple hits make up a session/visit.page with pageviews).Īdobe Analytics Visit / Google Analytics Session: Main Takeaway Tip: You want to match hit dimensions to hit metrics (i.e.Adobe Analytics: Standard across Google Analytics and Adobe. Measures each individual interaction on the site (think pageviews, events). Definition: The building block upon which all other data is formed.So what are these scopes, and how do they differ between Google Analytics & Adobe? Adobe Analytics and Google Analytics Hits: Scope affects data collection, aggregation, and even the way you analyze data.Įnsure that you are matching the correct dimensions and metrics by scope when doing analysis, otherwise you run the risk of misleading your report stakeholders which leads to poor decisions based on this data. Differences in Dimensions and Metrics ScopeĪn important aspect of all analytics is the scope of dimensions and metrics. When you think of Adobe success events, think of total events in Google Analytics. For Google Analytics, each goal completion is counted once per session, where in Adobe, each success event counts each time the item occurs in a visit.įor example, if a conversion/success event in each platform is playing a video on the site, and you watch 5 videos in a single session/visit, in Google Analytics that will trigger only 1 video play goal completion, but in Adobe Analytics that will trigger 5 video play success events. Adobe Success EventsĪnother notable difference is GA goal completions vs. As these are two extremely visible aspects of Google Analytics and Adobe Analytics, it’s important to note the high-level naming difference.
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Looking at Adobe data, one of the first things you will likely notice is that sessions are now visits, and landing page is now entry page. Now that we’ve established why Adobe Analytics is important, let’s look at some high-level dimension and metrics differences between Google Analytics and Adobe Analytics, and establish why the scope of dimensions and metrics is so critical to understanding any analytics set-up.Īdobe Analytics Entry Page vs.
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Similar to tools like Google Analytics 360, Adobe Analytics offers notable benefits and features (avoiding sampling, custom tracking flexibility, etc.), justifying the notable yearly cost associated to it. Navigation of the Adobe Analytics Interface.Differences in Dimensions and Metrics Scope.Comparing Dimensions and Metrics in Google Analytics vs Adobe Analytics.The program formerly known as “Omniture”.In this post, we’ll cover the following Adobe Analytics beginner topics: Let’s dig into Adobe Analytics and get you up to speed! If you are one of those people, you’ve come to the right place. While most digital analysts understand Google Analytics, many can find Adobe Analytics to be a complete mystery.