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4 Google Analytics Approaches You Must Adopt To Succeed With Web Analytics Exercise

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We all know Google as a search engine which can give answer any query of this universe. Lets see how Google has bring revolution in the life of common man and business community with its products and services – Search Engine, Adword, Doubleclick , Google+, AdSense which comes with lot solutions like Google Analytics, Mobile App Analytics, and many more.

images (1)But today lets focus on Google Analytics and the approach that needs to be followed to make Google Analytics data effective. ‘Data is at the Service of Action’,  is the line quoted by Avinash Kaushik , letting participants understand that data drive actions. If it is not the case then one is wasting the precious time. The approach shared below is divided into 4 parts. 3 parts sets the principles to work on data and 4th part will throw some light on expert’s tips that can be taken as ‘ rules ‘ going forward. The fourth part which is the most important part can really make the difference between success and failure.


Data democracy

  1. Create Data Democracy means user has the right to go granular, specific and can also customize data to empower understanding of data in context of driving actions. In other words, it means if the Google Analytics dashboard represent as many as 62 tabs in its report, then user need not to go through all 62 tabs. Rather, user should customize the data and share the snippet of useful data in right hands in order to take right decisions. Right hands means the people with tribal business sense with least expertise on data.
  2. Define goal is start of the pain that analyst needs to take up before performing any analysis on unstructured data. Sometimes analyst take up wrong goals, but that is perfectly fine because educated mistake is better than no action at all. The key message here is to set up the objectives and goals first and then try to map the road to reach up to the goal.
  3. Performance measurement is the next mandate as an approach to be followed. The parameter to measure performance is divided as per the nature of website – e-commerce or non e-commerce. For e-commerce, conversion rates, traffic from marketing campaigns and bounce rates can clearly show statistics. However, for non e-commerce websites, various useful reports are visitors loyalty reports, visitor recency (last time the customer visited the website), length of visit (time spend on any page), depth of visit (how much content consumed). For non e-commerce sites specifically, never go with the averages because averages often hide the truth.
  4. Rules for Revolutions means the recommendations shared by the experts that can be taken as set rules while pursing web analysis.
  • Maximum value should be spend on human resource performing the analysis on data instead of spending on expensive tool.
  • Spend 70-80% time on analysis and rest 20% on reporting stuff.
  • Set the level of confidence with data.
  • Set the process around (six sigma can be effectively used).
  • Experimentation(testing) needs to be done on data before sharing it with boss.

A very nice presentation by Avinash Kaushik below :-

  • web-analytics

  • There are 2 comments

    • 5 years ago

      Indrajit Goswami   /   Reply

      Excellent post Karun. This is the first blog, where I could develop interests in analytics. I’ll look forward to learn more from you. Thank you.

    • 5 years ago

      Nikhita Reddy   /   Reply

      Interesting post. It shows how important web analytics is for the effective data management. The video was very inspiring. Nice post to read.

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