Adobe Analytics vs Google Analytics

• Adobe Analytics is very visually pleasing and user-friendly; my favorite thing is the simple drag and drop feature that makes the workspace flexible and clean.
• Reports are easy to read with the help of graphics; another reason why Adobe Analytics is visually appealing.
• Customer support; while it is sometimes slow to receive help, at least customer support exists, compared to Google Analytics.

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• Google Analytics does the obvious thing really well: tracks user behavior around our website. But more specifically, it allows us to do some very complicated attribution to behavior, traffic sources and even specific campaigns or devices. Depending on the volume of traffic we are trying to analyze and the purpose, we can narrow things down EXTREMELY well and get a great story to use for data mining.
• The eCommerce tracking with GA (Google Analytics) is hands down the best. Specifically, its attribution to traffic sources and matching with user behavior that is the best. I have yet to find another tool that can let me track traffic sources, split campaigns down to devices and track which inventory was purchased specifically from that campaign--especially if I am looking back at inventory purchased from a campaign (or in our case, people who signed up for Classes) I can tell all of that from GA.
• You can use GA to track specific user accounts within a product, and differentiate user behavior within the product based on account roles. A lot of people don't know about this, but with the help of a developer you can leverage a TON of data including creating lookalike audiences that you can sync into AdWords and make your display campaigns highly targeted. Most people think this kind of feature is only available on Facebook ads--nope! :)

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• No proper governance on all the dashboards, users creates dozens of dashboards and leave it on the server with 100s of versions.
• Overall implementation is cumbersome and time-consuming.
• Need proper tagging on all of your platforms as well as all hits and instances.

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• I was bummed that they moved some of the functions (keyword data, etc.) over to Google Webmaster tools. (On the bright side, this has prompted me to become more familiar with Google Search Console.)
• A lot of functions are right there. But it's hard to tell which functions are most important or what they offer.
• Perhaps this is related to number 2, but the UX is fairly intimidating. All of these tools and subsets of tools are right in front of you, and it's difficult to understand what ones are the most important. A simpler, streamlined format might be a better approach.

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• As a direct result of some of our insights we obtained through Adobe Analytics, we focused on improving our mobile web pages which resulted in a significant increase in conversion rates for mobile devices (can't disclose actual figures here). We had no idea previously what % of our customers were going through certain processes on our website on a mobile device and the experience had been built for a desktop.
• One of the insights the Next Page Flow and Fallout reports helped us find was that fallout rates for the first step in one of our multi-step processes on the website were over 50%! That helped us identify that the first step was too complicated, and we simplified it and that resulted in a >30% improvement.

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• GA has only had a positive impact for myself and my clients. Utilizing the data from Google Analytics, we have been able to optimize landing pages, shopping carts, and content to only improve our acquisition, reduce abandonment rates and follow through with successful conversions.

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