AKTU SOCIAL MEDIA AND WEB ANALYTICS NOTES

  What is A/B testing? A/B testing (also known as split testing or bucket testing) is a methodology for comparing two versions of a webpage or app against each other to determine which one performs better. A/B testing is essentially an experiment where two or more variants of a page are shown to users at random, and statistical analysis is used to determine which variation performs better for a given conversion goal. How A/B testing works In an A/B test, you take a webpage or app screen and modify it to create a second version of the same page. This change can be as simple as a single headline, button or be a complete redesign of the page. Then, half of your traffic is shown the original version of the page (known as control or A) and half are shown the modified version of the page (the variation or B). As visitors are served either the control or variation, their engagement with each experience is measured and collected in a dashboard and analyzed through a statistical engine. You...

Average time on site The ‘Average time on site’ metric show the the amount of time that passed between hits for a given dimension item. This metric is helpful when you want to see average time spent for specific dimension items. You can also trend this metric over time to see how overall time spent changes. This metric displays in HH:MM:SS format. This metric is related to the Time spent per visit dimension. How this metric is calculated For a given dimension item, take the timestamp of each hit where that dimension item exists. Compare it with the timestamp of the next hit in the visit. If the hit doesn’t have a subsequent hit, do not include it in this metric. Out of all the time spent for the dimension item, divide them all by the number of “sequences” for that dimension item. A “sequence” is where a dimension item is the same for one or more consecutive hits. This resulting number is the metric displayed in reports. For example, consider the following visit: ...

 Q- Explain the common metrics terms like Hits, Page view, Visits, Bounce and Bounce rate. Ans-   Hits-       It’s a count of number of times a file (images, CSS, Java Scripts etc.) is requested by a user agent from the server where these files are stored. A HIT is different from a VISIT. A webpage can have number of resources (file, image, CSS, Scripts) and a Hit is number of times a resource is downloaded whereas a visit is when a user visits a page. Hence for one visit there are generally more hits based on the number of resources a page has and for this reason, hits are not considered a good indication of website traffic. In Search Engine Language – Hits are nothing but number of search results for a specific query. Page View A count every time a page is viewed by a user. One user can have number of page views on a website, therefore unique page views are tracked to count number of visitors a website receives in a given period of time...