These all metrics are revolving around visits and hits which we are getting on websites. Single page visits, Bounce, Cart Additions, Bounce Rate, Exit rate,
These all metrics are revolving around visits and hits which we are getting on websites. Single page visits, Bounce, Cart Additions, Bounce Rate, Exit rate,
We have heard the term “events” a lot of times if we are related to the field of web analytics in one way or another. This is the most basic term in web analytics.
For a social media site, when people are commenting on a picture, this event can be called as “comment”,
When people hit the play button to start a song on a music streaming site, this is a “play” event.
For an online food ordering site increasing the quantity of food items “+” or “-”, this event is can be called as “order quantity”
The maths related to events can give us an understanding of KPI, and KPI in turn tells us how our website or app is performing, what the behaviour of users on our site is, what the most liked part of our website is, and so on.
We can study it with examples like,
A social media site daily gets 5000-5500 “likes”.
An online food ordering site has 1000–1100 unique users who generally increase the quantity of food items they buy.
When the entry page and exit page are the same, this visit is called a single page visit.
A “session” is a set of activities done by a user on a website within a particular time limit.
This is the average amount of time a user spends in a single session on a website.
When a user visits only one page and then leaves the website, it is called a “bounce.”
When a user adds a product/service in cart, this hit count as a ‘Cart Addition’
For a given situation, we will understand the bounce rate and exit rate.
The bounce rate for Page A is equal to 1/4, or 25%, because no further action is taken after landing on Page A in 1 out of 4 visits.
Below is the case where three users visited a website and left the site.
The exit rate of page a=1/4 =25%, as out of four visits, only one visitor left from page A.
Exit rate of page B = 2/4 = 50%, as out of four visits, two visitors left from page B.
Exit rate of page C = 1/4 =25%, as out of four visits, once only visitor or visitors left from page C.
CTR is simply how many times your ad gets clicked after being seen.
CTR = (Clicks / Impressions) * 100
ANCOVA is an extension of ANOVA (Analysis of Variance) that combines blocks of regression analysis and ANOVA. Which makes it Analysis of Covariance.
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In this article, we will learn how to utilize the functionalities provided by excel and python libraries to calculate IQR,
After tourism was established as a motivator of local economies (country, state), many governments stepped up to the plate.
Sentiment analysis can determine the polarity of sentiments from given sentences. We can classify them into certain categories.
Traverse a dictionary with for loop Accessing keys and values in dictionary. Use Dict.values() and Dict.keys() to generate keys and values as iterable. Nested Dictionaries with for loop Access Nested values of Nested Dictionaries How useful was this post? Click on a star to rate it! Submit Rating
For loop is one of the most useful methods to reuse a code for repetitive execution.
These all metrics are revolving around visits and hits which we are getting on websites. Single page visits, Bounce, Cart Additions, Bounce Rate, Exit rate,
Hypothesis testing is a statistical method for determining whether or not a given hypothesis is true. A hypothesis can be any assumption based on data.
A/B tests are randomly controlled experiments. In A/B testing, you get user response on various versions of the product, and users are split within multiple versions of the product to figure out the “winner” of the version.
This article covers ‘for’ loops and how they are used with tuples. Even if the tuples are immutable, the accessibility of the tuples is similar to that of the list.
MANOVA is an update of ANOVA, where we use a minimum of two dependent variables.
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