Showing posts with label Case Study. Show all posts
Showing posts with label Case Study. Show all posts

Nov 11, 2015

An experiment on user response to Colors

An experiment on user response to Colors
This is an ongoing study on the change in perception of users to colors. An excellent infographic from kissmetrics and webscout implored for a change in color combinations on webpages to elicit certain responses from the viewers. 

To exemplify, red denotes energy and passion, however, yellow displays enthusiasm. So one can use such colors based on the visitor demographics you receive. For websites catering to passionate readers, red or black could be the ideal color choice. You could utilize such colors on areas that require action such as "Buy Now" buttons or "Subscribe Now" Buttons. 

On the other hand, if you cater to a more refined and mature audience, the usage of extreme colors might actually hamper changes of conversion. E-commerce websites have been using such methods from time immemorial in the hopes of luring impulsive buyers.

Banner BeforeBanner After

However, such a technique was attempted on codemakit.com itself when the banner color was changed. The banner color was initially an 8 bit variation of black itself. To include the above mentioned strategy, the banner color was changed to varients of red and blue.

The modification in the color of the main banner was made on 18th of August 2015. Data analysed were for a month before the modification and a month after. Hence the data corresponds to number of sessions and the bounce rates for 60 days.

Relation between Variables before and after Change


As can be seen, there was mild increase in the number of sessions per day and a slight decrease in the bounce rate. 

Though the change corresponded to a positive effect, It is not substantial and more changes are required,

Further Reading.

You can read more about colors and how they affect websites from our previous articles.

Interested about colors? Find how change in font colors can affect your reader mood?

This was,
An experiment on user response to Colors MohitChar

Jul 21, 2015

A Chat at InsideIIM

A Chat at InsideIIM front
A place meant for the young and the smart. A place brimming with life experiences of students as they pass another great hurdle of life, an MBA.

InsideIIM started as a blog which has now transformed into "The Management Education University of the future". Over the years, this website was one of the chosen few which actually made a difference in the lives of its readers. The funny thing is that its founders too strive towards the same. 

InsideIIM boasts of the best talent in the country and grows larger year after year. The major services provided by the website are content (Student Stories + Chat forum) and Placements & Recruitment. They have collaborated with several institutions and organisations to connect prospective students and employees with their dreams.

Now without further ado, lets find out more about the website and the services from Ankit, one of the founders of InsideIIM.

On the Website

Mohit: I bet, your "What's worth reading?" posts are a real crowd puller. How much is the truth behind it and what importance do you give to similar posts which lead your readers towards external websites?

Ankit: I don't know what you mean by truth but we are here to solve a problem for our users. Our users want curated quality content. Shreyas does it and we are happy to do it even if it send traffic to other sites. InsideIIM is a platform and our aim is to solve our users problem whichever way possible. What's worth reading is very popular and Shreyas Panse is a star.


Mohit: Good to hear it Ankit, Currently, you have a lot of stories at insideiim.com with several of them written by your own authors. Do you ever feel the need to revise a previous article?

Ankit: Data based stories need a revision but personal stories and opinions no

On Growth Strategy

Mohit: I once overheard a discussion at Quora which said, "InsideIIM covers only crème de la crème of B-Schools", do you strive and pride yourself at being an elitist website, or was it by an accident?

Ankit: Over 80% of the content is user generated. There is no design to involve only the supposedly top ranked schools. But when we started we had to start with a limited set of schools. Today the platform is open to all business schools. Any student from any part of the world can write and we will publish. There is no intentional elitism. But the name became catchy so we stuck with it.

On Business

Mohit: For the sake of my readers we'll come to the business part, what is the revenue model of insideiim.com? OR How do you decide which revenue source to act upon?

Ankit: Advertising and Recruitment. We help business school and universities reach out to too talent. We help companies recruit top talent. Currently we don't charge students or users anything.


Mohit: On a blog of your stature, I'm curious about the source of the majority of your readers (Is it through Email Marketing, Google Advertisements, Organic Growth Or some other method?)
Ankit: People keep recommending our content on Facebook. Also our content is highly relevant or Google gives us better discoverability. Emailer came in very [late] because until. 2013 late we didn't even have proper registration on the site

On Making a Difference

A Chat at InsideIIM Ankit
Mohit: Being an active part of many aspiring students' lives, How does it feel when students attribute their successes to insideiim.com?

Ankit: We didn't make any money in the first 12 - 18 months. That's what kept us going and it still keeps us going.

Mohit: With the ripples you're creating, I'm sure you affecting millions of lives indirectly. Thank you so much for your candid responses. We'll wrap-up here, but the readers can ask Ankit by commenting below. I'll make sure your questions reach InsideIIM.

You can visit InsideIIM at their official website, their facebook page and twitter handle too.

Note. The author is pleased to divulge that though the interaction with the founders for the interview went on for about 3 months, it was in a scheduled public chat forum when the author finally got a hold of Ankit.

This was,
A Chat at InsideIIM MohitChar

Mar 10, 2015

The Relation between Reading ease and Viewership

Ever wondered, how your writing style affects the number of visitors at your blog? 

We often wonder what do people mean when they say, quality trumps quantity. Or when people say, "You need to focus on your content to leverage your SEO practices".

Who knows what type of content qualifies as quality content? So we at codemakit, performed an experiment to find out "How does page views relate to the readability of a text?". 

The Premise

A complete set of all articles published at codemakit.com was collected for the year 2014. Every article written in 2014 was passed through a readability scanner and values for the above mentioned parameters were found. The page-view data for each article was obtained from blogger's stats page. Finally each article was compared on the basis of the specific parameter and the number of page views garnered by the article during that period.

It might be possible that some articles discussed in the experiment were too recent to be able to check for absolute page views i.e. the recent articles might have lesser page views and still be attracting visitors while the older articles might have a large number of page views and have stopped gather more due to lack of updation. However through subsequent tests, it was found that a normal article stops gathering substantial page views after a period of a month. Any page views after a month of publication is quite small and can be neglected in the study.

The Results

The readability of any text can be determined very easily. You just need to consider some parameters and find the relation between them and the number of page views received by your blog.
Further articles will delve into different relations between the following parameters,

Changes in Page-views with number of words
Changes in Page-views with number of sentences in an article
Changes in Page-views with number of syllables per word in a passage
Changes in Page-views with average number of words per sentence
Changes in Page-views with the number of Complex Words in a text
Changes in page views with percentage of complex words in an article

Such simple and elementary comparisons between the parameters will help us understand what type of writing does a normal user and a normal search engine like.

Related Reading,

Just like the articles above, we have an answer to another question, Do pages with questions as title receive more clicks? You can check out the simple version of article on titles as questions too.

We also have similar article sets which talk about higher blog visitors with a focus on everything by content.

If you're unsure about what content would suit your blog, you can check a dumbed-down version of everything that Google considers superior.

This was,

Feb 9, 2015

What happened when I increased Font Sizes

What happens when I increased Font Sizes Front
Website font sizes are an important factor in determining if a visitor leaves your website happy or sad. The current study will help you figure out what effect increasing your website's font size will have on the overall quality and quantity of visitors.

One of the most popular articles on codemakit was based on a study which answered a simple question. One which has been asked by numerous webmasters, designers and bloggers worldwide. The question was "What is the best font size?" it could be rephrased as "Which font size would lead to highest user interaction?" or "Which of these should I choose, 12px, 14px, or 16px?"

During the research, I came across several opinions. Some wanted to "Follow your heart!" (I don't know how their websites are read), Some said "The size depends on the type of website" (Which is why I conducted the study). You can still check out the complete study on Type of Fonts, Size of Fonts and Color of Fonts. But, after the study, the result were condensed into simple 4 letters ; 14px.

The preface

Based on the previous study, codemakit changed the default font size from its 12px to 14px. Then the blog was observed for 30 days during which several parameters were monitored closely. The following parameters were studied.

  • Number of Visitors (Page views)
  • Bounce Rates (%)
  • Pages per Session
  • Percentage New Sessions


The Results

The following data was observed from the blog after the change in text size was made.
After the change in font size was made, Several parameters were observed for a period of 17 days.

Changes in Page Views

Regarding the changes in page views. It is abundantly clear that the number of page views increased after the changes were made. A rough estimation points out that the increase in page views were upwards of 35 percentage. Though the direct increase in the number of page views is often attributed to marketing strategies and Search Engine Optimization, the sudden increase in the number of page views can be indirectly caused by an increase in returning visitors and the increase in the number of pages viewed in one session. Those parameter shall be discussed separately later.

The following Graph depicts the changes in the number of page views in the 43 day period. Kindly keep in mind that the changes in the font size were completed on 25th December 2014. The repercussions from it are depicted in the later part of the graph.

Changes in Page Views


Bounce Rate

It was found that the overall bounce rate of the blog decreased. Though bounce rates are never a perfect indicator of a blog's health, they are still a good indicator of what your visitors do when they enter your website. A lower bounce rate would inevitably be better than a higher one. A question arises, Is it possible that the bounce rate was decreasing from before the time the changes were made? 

Though it is possible for a growing and improving blog, one can still find out if the change in the bounce rate was premeditated by the change in font size. Hence we take two different data sets, One from the bounce rates of the blog before changes were made and another, bounce rates at the blog after the changes were made.

Bounce Rate


With the help of excel trend-line function, trend lines were created for both the data sets. It was found that the bounce rate decreased from 87.7% to 86.4%, i.e. a 1.5% decrease. However one look at the data after changes were made would show that the bounce rate decreased from 89.5% to 77.1% i.e. 14% decrease. This proves that increasing the font size decreases bounce rate at a much higher rate than better content quality management practices.

Percentage New Sessions

Percentage New sessions are the total percentage of sessions opened with new users. decreasing this number from 100 would give you the percentage of users which came to the website for more than one time. A higher percentage new sessions might mean that most of your readers are first timers. A lower percentage new sessions would indicate the presence of loyal returning visitors who come back to the blog because of sheer content quality or better marketing practices.

Percentage New Sessions


Percentage new Sessions in the experiment decreased from 90% to 88%. Though the decrease is a meager 2.2 percent, this might indicate an increase in returning visitors as a result of the changes made. Further analysis from data sets created before the experiment and after the experiment said that the % new sessions increased before and after the changes. But the changes led to an initial lowering of the values. In short, the effects of the changes made could not be analysed properly and can be termed inconclusive.

Pages per Session

The pages per session is the number of webpages opened by the user during his visit. The only anomaly observed in the experiment was that the pages per session actually decreased during time. Though the decrease was a meager 0.1 which is a decrease of 6%, a value much higher to be discarded. No logical reason explains this phenomena.

Pages per Session


It is thought that more data for Percentage New Sessions and Pages per Session are required before venturing into an in-depth analysis of the reasoning of the phenomena.

Related Reading

You might want to understand why we chose 14px from our quest to determine the best website Font Sizes.

Are you aware of the best practices for Website Fonts, read this and you will be.

If you have doubts about some of the terms used here, you can check out this bounce rate article on how bounce rates are calculated or this one on how a blog dies.

We also did a similar article where a parameter in the blog was changed and its data was analysed. It actually doubled the number of page views.

This answered,
What happens when I increased Font Sizes MohitChar

Jan 19, 2015

How will my Blog Die? (New and Returning Visitors)

How will my Blog Die? (New and Returning Visitors) Front
There are two types of visitors on a blog, an impressed one which has returned to the website and an unimpressed one which has arrived for for the first time.

Note. If you think you've missed the previous part, check out the 'When will my blog die?' study from the start.

Several parameters define the quality of visitors on a website, percentage new sessions and percentage returning sessions are some of them. Percentage New Session and Percentage returning sessions are basically two interdependent parameters which depict the percentage of new users entering the website and the percentage of returning users entering the website respectively.

The Results

For example, if the percentage of New session is 80%, then the percentage of returning sessions would amount to 20%. This means 80% of the users on your website would be new users who have not visited the website before. 20%  would be the ones that have visited your website before and have come for more. 

Change in new and returning Visitors with time

There is one fundamental difference between sessions and users. A session is the time, a user spends on the website before closing the window or leaving it.

Correlation Between Average Session time and Percentage Returning Sessions.

It is interesting to correlate the average session time and percentage returning sessions. As seen in the graph given below, it becomes very clear that the average session time varied quite proportionally to the percentage returning sessions. This is logical as the returning number of visitors are expected to spend more time on the website. Which is because, new visitors often spend lesser time if they do not agree with the overall layout, design (Font Size, Font Type and Font color) or the writing style of the author. Returning visitors do agree with them and hence are expected to stay.

graph Correlation Between Average Session Time and Percentage Returning Sessions

Correlation of Bounce Rate and Percentage New Sessions

One thing that can be correlated effectively with Percentage of new sessions is bounce rate. It was interesting to find out the correlation between bounce rates and percentage new sessions. 
It is however very interesting to note that the Bounce Rate actually follows the percentage new Sessions values until day 35. After 5th Week, it looks as if the relation between Bounce rates and Percentage new Sessions is inverted. Higher the Percentage of new Sessions lower is the bounce rate, which also means lower the percentage of  returning visitors lower is the bounce rates. Since the study was stopped after day 44, It is not clear, how long will the trend continue.

Correlation between Bounce Rates and percentage new Sessions

Correlation between Effective Bounce Rate and the difference of Bounce Rate and percentage new Session

Since any definite trend cannot be found out from the particular graph, It was decided to go further with the graph between Bounce Rate (B) and The percentage new sessions (PN). Instead a graph was plotted between Bounce Rate (B) and the difference between Bounce Rate and Percentage of new sessions (B-PN). The following is the graph between (B) and (B-PN).

Correlation between Effective Bounce Rate and the difference of Bounce Rate and percentage new Session

Though generalizations cannot be accurately made from the data, It is found that more positive difference between Bounce Rate (B) and the Percentage of New Sessions (PN) would mean Lesser Bounce Rate.

The Complete Study

The Complete 5 Part Study can be accessed from here as it is published,

[Published on 8th Dec 2014]

[Published on 15th Dec 2014]

[Published on 22th Dec 2014]

[Published on 29th Dec 2014]

[Published on 5th Jan 2015]

This answered,
How will my Blog Die? (New and Returning Visitors) MohitChar

Jan 5, 2015

Tips for Comment Moderation. What Should you keep and what should you delete? Part 2

Tips for Comment Moderation. What Should you keep and what should you delete? Part 2 FrontComment moderation is one of those important aspects of managing a blog which tells the readers about the integrity and quality of the blog. 

A previous article on Tips for comment moderation talked about protecting a blog's image against comment spammers. This is the part two of the series.




The Link Factory Type

A very ancient breed of comment spammers often use a technique known as comment link flooding. In short, they flood the comment section with one or more links of a particular webpage, hoping that the sheer numbers would lead to an increase in the back links, thereby leading to higher page rank.
As mentioned above, they are an ancient breed because, such methods have already been countered by search engine's algorithms and have little or no effect on both the websites.

Another reason why such comments often do not work on websites is because, the websites have already marked their comments section as no-follow (Which means that any links in the comment section would not affect your image at google or similar search engines). Hence any attempt at garnering back links by spamming comments is foiled.

The Link Factory Type




The Hire Me Type

Some Comment spams are often disguised as marketing initiatives from unemployed designers/ developers and SEO professionals. Though it is not hard to decipher what they write, their text is often accompanied by options to hire the writer. Their comment reeks of "Hire Me!" all along. Needless to say, you should remove such comments.

The Following comment was found on a previous article at codemakit talking about the dangers of trading an article with a service.

The Hire Me Type

The Naked URL Type

You will often find that comments like the one below have little or no un-hyperlinked text. One often wonders if it is a ruse, with spammers trying to garner pageranks by adding links as mentioned in the first case.

However, you must be careful. One look at the URL of the link would tell you if it is related to the article or not. If it is related and genuinely adds quality to the article, you can keep it. If not you should remove it as a crushed bug on a car's windshield.

The Naked URL Type

True to Myself Type

Now you might see some comments which are genuinely concerned about the article and the blog.The first method of checking a comment against spam is to find is if the comment contains a hyperlink. The second method of finding if a comment isn't spam is to check the content for relevance to the article itself.

Like the previous article on comment moderation, Here's an example of a genuine comment in which the author is concerned about the content of the article and phrases his/her comment accordingly.

The following article is on the geomatic changes in blog.

True to Myself Type

The Shakespearean Spammer

Not often you encounter wordy Shakespearean comment spammers. Only one thing differentiates such comment spammers from normal ones, The use of herculean amount of words, often relating to the article as a bee relates to a space ship and nearly every character of the comment has been copied form somewhere.

The following comment was received at codemakit's article about including a favicon to your website.

Guess what? The spammer has commented about international concept of work from home! Who the F comments about work from home at a favicon based article? The comment was so large, that complete screenshot would have increased the length of the post by 30% and would have left you dazed.

The Shakespearean Spammer


Looking London Talking Tokyo Part 2

Some comment spammers do not use hyperlinks in their comments to avoid being filtered by automatic comment spam filters. The following comment is about Business phone lines at the Jetbro Interview article.

In such cases, it is often advisable to skim through the comment to ensure that the comment is in accordance with the article itself.

Looking London Talking Tokyo Part 2

Though this type of comment spam has been discussed before, I could not stop myself from entering the following comment from entering the wall of fame.

Looking London Talking Tokyo Part 2

The Brazen Comment Spam

Now there exist a rare breed of brazen super-strong, fearless comment spammers who defies every law of commenting on article.

First, Comments are often advised against adding links in their comments.
Secondly, Comments should be related.
Thirdly, the transition of ideas in the comments should be smooth and not abrupt.
Fourthly, You should not comment spam on an article on "Tips for comment moderation"!

The Brazen Comment Spam

Related Reading,

Liked it? You will obviously like the Part I of article on tips for comment moderation.

If you're not aware, here is the method of removing spam comments from the blog.

Have you read some of our funniest comment  spams here's Part I and here's part II?

Check out a case study about how a single sentence reduced comment spams by half.

This was about,
Tips for Comment Moderation. What Should you keep and what should you delete? Part 2 MohitChar

Dec 29, 2014

How will my blog die? (Pages per Sessions)

How will my blog die? (Pages per Sessions)
Pages per Session as the name suggests is the number of internal pages visited by your reader when he browses your website in one go. But what happens to the number of pages per session when your blog starts dying?

Note. If you think you've missed the previous part, check out the 'When will my blog die?' study from the start.

There is a parameter known as pages per session for determining a website's health. This is only when the bounce rate (discussed before) is less than 100%. 

Based on the data received from the website during its 44 Day dry spell, It was found that the number pages viewed by a visitor per session reduced constantly. The number changed mildly at first but it was after 32 days when the graph showed extraordinary fluctuation.

Change in Pages per Session with Time

The timing of the fluctuation actually matches the 5 week mark of reduction in the number of visitors received by the blog as discussed previously. 

Correlation between Bounce Rate and Pages per Session

The correlation between Bounce Rate and Pages per session  is interesting. It seems, lower the bounce rate, higher the pages per session. This is actually logical as the pages per session is actually the average of all the user sessions for the day. So, when the bounce rate is higher, the number of pages for that session is lower.

Correlation between Bounce Rate and Pages per Session

Take an example, for a bounce rate of 100%, every visitor landing on the webpage would leave it without clicking on any other link. So in short, he/she would visit just the landing page and the pages per session would be equal to 1. If Bounce rate is 0% (an extremely unlikely scenario) each and every visitor landing on the page will click on an internal link before leaving the website. This would mean, pages per session would be higher than 1 at all times.

Correlation between Average Session Time and Pages per Session 

Contrary to all the parameters studied in the research, the correlation between average session time and the number of page per session is the most unique. The two parameters seem to depend on each other directly. Even as time passes, the relation stays intact and doesn't change. In every other parameter the relation changes after the 35 days mark.

Correlation between Average Session Time and Pages per Session

The Complete Study

The Complete 5 Part Study can be accessed from here as it is published,

This was,
How will my blog die? (Pages per Sessions) MohitChar

Dec 22, 2014

How will my blog die? (Session Duration)

How will your blog die? (Session Duration)
Session duration in simple words is the amount of time spent by a user or a reader on your website. This article will tell you what happens to that session duration when a blog is gearing towards death.

Note. If you think you've missed the previous part, check out the 'When will my blog die?' study from the start.

Session duration is one of the parameters that define the quality of writing of the author. Higher average session duration would mean that the visitor is present on the webpage for a higher period of time. This implies that the visitor is hooked to the writing thereby justifying the efforts of the author.

In the present case, the blog started receiving higher average session duration as the time progressed. The average session duration increased at a much higher rate than did the bounce rate.

Change in Session Duration with Time

However, Session duration too showed signs of fluctuation at the end of 35 days, i.e. 5 weeks time. This is actually in conformation with similar sightings of the bounce rate, Number of Visitors and average number of pages per session.

Change in Session Duration with Time

Correlation of Session Duration with Bounce Rate

The constant upward movement of Session duration with time correlated with the bounce rate which actually reduced with time. This depicts that as the bounce rate decreased visitors started viewing higher number of pages thereby spending higher amount of time at the website in one session.

Correlation of Session Duration with Bounce Rate

Correlation of Session Duration with Number of Visitors

The upward movement of session duration in correlation with the constant dip in the number of visitors and lowering bounce rate on the website showed that as the time passed, the visitors remaining were actually interested in the content instead of surfing. In short this meant that the truly loyal or sincere visitors remained with the website towards its death.

Correlation of Session Duration with Number of Visitors

Correlation of Session Duration with Pages per Session

Another Correlation can be found with the average session time and Pages per session, where one can find that the abrupt increase in the average session time can be attributed to an increase in the number of pages viewed in one session. This would mean that the session time increases because the readers are opening more pages and not because there was a sudden increase in the curiosity on the subject.

Table Correlation between average session time and pages per session

Correlation of Session Duration with Percentage Returning sessions

As is evident from the graph below, it was found that the changes in average session time were proportional to the percentage of returning sessions for the first 35 days. This is quite logical as the returning visitors are keen on finding and exploring the website over again. This might be in search of new content or due to simple veneration. However, after 35 days the relationship between the two parameters became inverse. The average session time actually reduced with an increase in returning sessions.

Table Correlation between average session time and percentage retuning session

The Complete Study

The Complete 5 Part Study can be accessed from here as it is published,

This was,
How will your blog die? (Session Duration) MohitCHar

Dec 15, 2014

How will my blog die? (Bounce Rate)

How will your blog die? (Bounce Rate)
Ever wondered how will your blog die? Or What would happen when your blog dies?

The article series will help you answer this question in detail. This article will discuss the changes in the bounce rate when your blog dies.

Note. If you think you've missed the previous part, check out the 'When will my blog die?' study from the start.

Though it has been proved more than once that bounce rates are never a perfect indicator of a website's health as they change with the type of your website, a bounce rate of 100 is still worse than a bounce rate of 90.

(For more information on bounce rate you can check out a previous article on 'How is bounce rate calculated').

Here are the results of an experiment proposed in which no changes were made on a blog for a total of 44 days.

The following study was conducted in the time frame of 19th Sept, 2014 to 1st November, 2014.


Change in Bounce Rate with Time

As seen in the graph below, the change in bounce rate with respect to time is minimal. The bounce rate is edging towards a full 100% i.e. a all visitors who land on the website leave without visiting any internal link on the page. This in short is dismal and points towards an impending doom.


Change in Bounce Rate with Time


The good news however is that the bounce rate is increasing glacially slow and it would be 424 days (about 60 Weeks) before the bounce rate touches 100% for good. We know from the previous article that the number of visitors would be down to zero before that.

Correlation between Bounce Rate and Pages per Session

A nice correlation can be made between bounce rate and pages per session. It was seen initially that higher the bounce rate lower were the pages visited by the user per session.

This was perfectly understandable, i.e. if more percentage of people are leaving the blog, it means that they are visiting lesser number of internal links and thereby lesser number of internal pages of your blog. This trend continued throughout the period of study.


Correlation between Bounce Rates and Percentage New Sessions

Another relation can be found out between Bounce rates and Percentage new sessions. It was found that higher the bounce rates, Higher the percentage new sessions. This further concretes our understanding that newer visitors will not be highly interested in the articles, than that of returning visitors who have actually come back as a sign of veneration or sheer trust, hence they will not leave the blog without surfing further.

This trend was however, shattered after 35 days since the last article, Bounce rates were suddenly inversely proportional to the percentage new sessions.



Though it looks scary, but even if bounce rates touch a hundred, It is not tough to bring it back to your desired level by using simple tricks to improving bounce rate.

The Complete Study

The Complete 5 Part Study can be accessed from here as it is published,

[Published on 8th Dec 2014]

[Published on 15th Dec 2014]

[Published on 22th Dec 2014]

[Published on 29th Dec 2014]

[Published on 19th Jan 2015]


This answered,
How will your blog die? (Bounce Rate) MohitChar

Dec 8, 2014

How will my blog die? (Page Views)

How will your blog die? (Page Views)
For a layman, the number of visitors received by a blog is the foremost parameter on which a blog is measured, for a designer/ Developer too, the first priority is accentuating the number of visitors they receive.

Note. If you think you've missed the previous part, check out the 'When will my blog die?' study from the start.

However, what ensures a huge turnout on your website? Yes it is the search engine. Google's Page-rank is one of the few things that ensure a constant flow of readers towards the blog. However, if Google's bots do not find any changes in a website, the number of visitors would be stemmed. After all nobody at any search engine wants to direct users towards a month oldarticle if several recently updated ones exist (Remember the SEO basics). Hence when you stop posting articles on the blog, the number of new visitors on the blog will surely ebb and the blog will move towards death.

However, nothing can be said about your regular viewers or fans who would constantly check your website for weeks in the anticipation of newer content. But let’s face it, after some weeks of disappointment even the most regular of your fans would think twice. Such exercise (current study) if performed on the blog frequently, would lead to lowering of the said returning visitors.

The Study,

As seen in the chart below, one can easily deduce that the website in question is heading for a breakdown.

Change in number of Visitors with Time

No Change Zone

First comes the no change zone. Which in short is a 3 week zone where there exists no change in the number of visitors at the website. As is evident from the graph the cycle of visitors repeats twice in this period.

Reduction Zone

After 21 days of banality, the website heads towards the lower end showing signs of decline.

Deceleration Zone

After about 5 weeks, comes the final blow. The website accelerates towards a literal destruction in the form of reduced page views andreduced earnings. Things actually get really interesting here because you are not sure which way the website goes. This zone is very easily achieved in a "Popular at the moment blog" and very slowly achieved in a multilingual website.

When will the blog have no page views?


Since the blog could not be kept in a dry spell until it dies, one has only one option to find out the truth, i.e. to extrapolate from the present values. Such extrapolation would enable us to find the date at which the visitors would stop coming (with a tolerance of some days). The present graph follows a linear deterioration with the equation y = -2.611x + 461.5, which shows that after 177 days the visitors would stop adorning the blog and hence the blog would truly die.

The Complete Study

The Complete 5 Part Study can be accessed from here as it is published,

[Published on 8th Dec 2014]

[Published on 15th Dec 2014]

[Published on 22th Dec 2014]

[Published on 29th Dec 2014]

[Published on 19th Jan 2015]

This answered,
How will your blog die? (Page Views) MohitChar