Adobe Analytics vs Google Analytics

• Adobe Analytics makes it very easy for anyone to quickly get in and get the information that they are looking for and pull a report if necessary.
• Adobe Analytics allows us to tag thousands of events that we want to track and then see the data that is tracked based on these events. The set up is lengthy, but incredibly worth it once completed.
• The audience segmentation tools in Adobe Analytics are great. We are able to get an incredibly detailed view of our customers and how they interact with our brand across our many channels.

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• It's free!!
• We can create goals to track, which forms on the website give us maximum number of leads
• We can enable tracking on the forms to see where are the maximum drop off and hence modify the fields based upon its popularity
• We have connected the GA account with Ad words and manage the keywords
• Set up custom reports and enable the subscription to go to all the stakeholders so that everyone in the business is up to date with the number of leads and traffic coming to the business
• Track specific information depending on the needs and requirements of the business
• Easy installation of GA on third party software for a holistic view of User behaviour

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• Good array of visualization options but can have more customization for some common use cases
• The log in process takes too much time sometimes and has scope for improvement
• The behavior flow report needs to be in a more readable format and should have some more options to customize

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• Google Analytics has a limit of 5000 rows that can be exported in one report. This limits how many total rows I can analyze in one export, so I have to spend more time in exporting additional rows and then combine them into one report.
• Google Analytics has a limit of 1 million rows on cardinality. This limits how many single value unique events can be collect in a report. So, after the limit of 1 million rows is reached, Google Analytics starts sending additional unique event values to 'other' which means analyst doesn't know what that event was.

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• The ability to segment, classify data coming from different sources for making decisions that are not driven by just your marketing intuition but concrete insights.
• I can aggregated statistics on an almost endless number of variables while still being able to dive deep and isolate individual pieces of content that may or may not be helping the webpage's overall statistics.

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• While very little in this world is truly free, the only real cost to using Google Analytics is time, from your PM's, your web admins, your engineers, your email admins, and QA analysts--but it is without a doubt time well spent.
• Because you run the risk of paralysis by analysis, one must pick their battles with Google Analytics. If you go in with a clear, concise set of objectives, and a competent technical supporting cast, you will succeed.
• On the reverse side of the same coin, if you come in without a purpose, you run the risk of getting bogged down in all of the information without immediate relevance, and you may just leave behind this treasure trove of invaluable analytics in search of said relevance.

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