1. Web Analytics Fundamentals Presented by Tejaswi, Chandrika, Sunil

3.  What is Web analytics?  Why we do Web Analytics?  How does Web Analytics work?  Web Analytics tool selection & Framework  What all metrics we need to measure?  Google Analytics Implementation  Benefits Agenda

4. What is Web Analytics?  Web analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage  Web Analytics provides the information about how visitors are interacting with your website and other internet properties to strengthen your customer conversion rates  Web Analytics is an ongoing process that helps in attracting more traffic to a site and thereby, increasing the Return on Investment (ROI)

5. Why we do Web Analytics?  Better understand your website visitors and their online behaviour.  Know from where your high-quality traffic comes  Understand where visitors go on your website and what content resonates with them.  Identify and track the factors that influence conversions.  Track where traffic is coming from — it helps to determine where it is best to invest your marketing time and budget.

6. How does Web Analytics works? Web Analytics MeasureReportsAnalyzeOptimize https://youtu.be/2xg6_9aFCd0?t=4

7.  Costing  Features  Testing & Implementation  Solution Hosting  Data Privacy  Real time reporting  Documentation, Language & Support

8. Tools for implementation service and many more …

9.  Make sure that the actual code of the tracking script is configured correctly, with appropriate plugins enabled Example:

10. There are some common variations in placing the code:  HTML  PHP  Dynamic Content Implementation  Google Tag Manager Google Analytics Tracking Code [GATC]

11. ABC model https://www.e-nor.com/blog/google-analytics/abcs-of-google-analytics

12. What all Metrics we need to Measure?

13.  Visits: It is a group of interactions that take place on your website within a time frame.  Unique visits: The total number of individual visitors to your site during a specific period of time, not counting repeat visits by the same individual.  Page views: Every time a user views a page, it is counted as a page view.  Returning Visitors: A visitor with existing Google Analytics cookies from a previous visit  Hits : A hit is a successful request from a visitor’s browser for ANY page element: images, media, scripts, etc.  Search Engines: Google, Yahoo, Bing, Ask and others. This will include organic and paid traffic.

14.  Referring URLs: other Web sites sending traffic to you. These could be as a result of your banner ads or campaigns or blogs or affiliates who link to you.  Pages/visit: This is the number of pages in your website that a user viewed during their visit.  Average Visit Duration: The average amount of time a user spends on your website  Length of Session: How much time visitors are spending on your site.  Depth of Session (Average Page depth): The number of pages viewed for each session. Repeated views of a single page is counted  Conversion Metrics like Onsite search terms, Product detail views, Transactions & Revenue

15. http://blog.convert.com/ecommerce-conversion-optimization-101.html

16.  It is the percentage of visits where the user only viewed one page and left your website. Bounce rate: Total number of visits Viewing only one page Total Entry pages

17. ABC Overview in Google Analytics:

18. Example:

19. ACTIVELY USING WEB ANALYTICS MAY LEAD TO:

20.  Better understanding of your audience and their needs  Clear assessment of the effectiveness of your campaigns and traffic from other sources  Confident and on-target business decisions

21. Source :  http://www.lynda.com/Business-Data-Analysis-tutorials/Web-Analytics-Fundamentals/123562- 2.html http://www.lynda.com/Business-Data-Analysis-tutorials/Web-Analytics-Fundamentals/123562- 2.html  http://www.webanalyticsindia.com/2013-05-21/framework-web-analytics-tool-selection/ http://www.webanalyticsindia.com/2013-05-21/framework-web-analytics-tool-selection/  http://online-behavior.com/analytics/web-analytics-process-measurement-optimization http://online-behavior.com/analytics/web-analytics-process-measurement-optimization  http://www.evolytics.com/analytics-services/digital-analytics-implementation/ http://www.evolytics.com/analytics-services/digital-analytics-implementation/

22. THANK YOU