Relation Between Page Views and Syllables, A Comparison

How do syllables lead to difference in page views? Does the number of syllables in a passage actually make the reader's job difficult or easy? 

There aren't enough things that can be modified by a writer. But the short list would include definitely include syllables.

Syllable in the simplest of form can be called as a unit of tone itself. When you pronounce 'SOBER' you actually combine two different syllables, 'SO' and 'BER'. 

How does it matter you ask?

Many people when reading often voice the text, which means they do not simply ingest the text through their eyes, but also pronounce the words in their mind. Hence, the words employing large number of text might pose a problem.

This might seem true logically, but there is another reasonining that might put you in a difficult position. Lower number of syllables might lead to a rough and dull passage, giving rise to lower readership.

So what should you do, let us find out through an experiment.

The Experiment,

28 separate articles, published on codemakit.com at different times in 2014 were tested using a simple readability scanner. The text in each article was scanned to find out the average number of syllables per unit word.

We'll now discuss the role, syllables play in gathering page views, which would be found out by checking if increasing the number of syllables per unit word leads to higher or lower page views.

Relation between Syllables per word and page views

The provides a very different picture altogether about how the changes in syllables can lead to differences in the page views (pageviews)

TO understand it further, we need to compare it quantitatively.

Total number of articles compared = 28

Number of articles were number of syllables per word were proportional to page views = 11

Percentage of instances where number of sentences were proportional to page views = 11/28 = 40%

So, percentage of instances where Average number of syllables per word were proportional to page views = 17/28 = 60%

Thus the average number of syllables per word can be directly proportional to the page views. However, this must be seen in moderation and cannot be taken as a rule of thumb.

Conclusion,

Number of Syllables per unit word is directly proportional Page views.

Related Reading

To find more about the above topic, you can check out The Relation between Reading ease and Viewership through an experiment on Reading ease.
Do you want to know, how to calculate the readability of a passage?

You can also find simple relations like,
The relation between Page Views and Sentence Length,

This was about,

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Relation Between Page Views and Sentence Length, A Comparison

Can you read really long sentences? Can you digest a sentence containing 50 words? We have seen in a previous article that higher complexity leads to lower number of visitors. 

What happens when you use long sentences in a webpage? What is the optimum number of words a sentence must contain to ensure maximum user retention and interaction? Let us start with an example.

Sample A

Here is a really long sentence,

"The amount of visitors on a webpage is actually dependent on a number of factors which include the web owner's search engine optimization practices, his writing quality and his repo with the swarming visitors at his personal blog"

Let us analyze Sample A.

Sample A is a single sentence containing 38 words. A normal sentence that can be easily understood by a reader can range from 10-20 words. Usually a sentence with a large number of words and phrases taxes and stretches a reader's brain.

More often than not, a sentence with large number of words is avoided by readers. Also such sentences are absolutely abhorred by readers looking for a light reading.

The sample was excruciatingly long and might have prevented many of my readers to go and read sample B which further increased this page's bounce rates ##;

Sample B

Here is the short version of the above text,

"Number of visitors is proportional to SEO, content and visitor interactions"

Let us analyze Sample B.

Sample B contains 11 words which is easily digestible. The reader can easily deduce that page views depend on the 3 factors only. People looking for a light reading will not be disappointed by the text and might even look forward to reading more.

The Experiment,

Moving back to the experiment, 28 articles, published on codemakit.com in 2014 were tested using a readability scanner. This article would talk about the role, the number of sentences play in gathering page views.

We would check if increasing the number of sentences or number of words would lead to higher or lower page views.

Relation Between number of sentences or words and page views

The number of sentences and page views can be compared using the graph above. As is evident, sans a few irregularities, the numbers of sentences do correlate with the number of page views. TO delve into it further, it is required to understand the problem, quantitatively,

Total number of articles compared = 28

Number of articles were number of sentences were proportional to page views = 15

Percentage of instances where number of sentences were proportional to page views = 15/28 = 53%

Number of articles were number of words were proportional to page views = 13

Percentage of instances where number of words were directly proportional to page views = 13/28 = 39%

So, percentage of instances where number of words were inversely proportional to page views = 13/28 = 61%

Thus it can be clearly deduced from both sentences that the number of sentences/ words has nothing to do with respect to pages views and that a really long sentence is equally probable to receive thundering applause as a really short one.

So lowering the number of sentences / Words at your blog can be disastrous as Google's panda updates view them seriously and often impose large penalties on WebPages publishing pages after pages with a really small amount of content.

But simply considering the number of sentences as the defining parameter in a text can be disastrous.

Consider the case of a webpage which contains sentences of the length of Sample A. Evaluating such long sentences would ensure huge number of words but would undermine the fact that the number of sentences have reduced drastically. Hence we need another type of parameter that assesses both the number of words and the number of sentences.

Relation between average number of words per sentence and page views

Hence comparing the average number of words per sentence page views was required. Average number of words per sentence is actually equal to the ratio of number of words and number of sentences. It tells about the number of words per unit sentence.

Number of articles were number of sentences were proportional to page views = 15

Percentage of instances where number of sentences were proportional to page views = 11/28 = 61%

Thus the average number of words per unit sentence can be effectively said to be directly proportional to the page views. However, this must be seen in moderation and cannot be taken as a rule of thumb.

Conclusion,

Page Views are directly proportional to the number of words.

Page views are also directly proportional to the number of words per unit sentences.

Related Reading

Learn how to calculate the readability of your blog or website pages, you could also mechanically grade your essays too!

Codemakit performed a really nice experiment on the readability of the text by Nobel Prize Winners,

Did you know that there is a relationship between Page Views and the Ease of Reading.

This was about,

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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,

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What happened when I increased Font Sizes

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.

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.

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 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.

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,

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

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. 

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.

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 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).



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,

What happens to Page Views when my blog dies?

[Published on 8th Dec 2014]

What happens to Bounce Rates when my blog dies?

[Published on 15th Dec 2014]

What happens to Session Duration when my blog dies?

[Published on 22th Dec 2014]

What happens to Pages per Sessions when my blog dies?

[Published on 29th Dec 2014]

What happens to New and Returning Visitors when my blog dies?

[Published on 5th Jan 2015]

This answered,

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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.

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.

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.

The Complete Study

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

What happens to Page Views when my blog dies?

[Published on 8th Dec 2014]

What happens to Bounce Rates when my blog dies?

[Published on 15th Dec 2014]

What happens to Session Duration when my blog dies?

[Published on 22th Dec 2014]

What happens to Pages per Sessions when my blog dies?

[Published on 29th Dec 2014]

What happens to New and Returning Visitors when my blog dies?

[Published on 19th Jan 2015]

This was,

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How will my 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.

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 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 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.

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.

The Complete Study

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

What happens to Page Views when my blog dies?

[Published on 8th Dec 2014]

What happens to Bounce Rates when my blog dies?

[Published on 15th Dec 2014]

What happens to Session Duration when my blog dies?

[Published on 22th Dec 2014]

What happens to Pages per Sessions when my blog dies?

[Published on 29th Dec 2014]

What happens to New and Returning Visitors when my blog dies?

[Published on 19th Jan 2015]

This was,

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How will my 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.

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,

What happens to Page Views when my blog dies?

[Published on 8th Dec 2014]

What happens to Bounce Rates when my blog dies?

[Published on 15th Dec 2014]

What happens to Session Duration when my blog dies?

[Published on 22th Dec 2014]

What happens to Pages per Sessions when my blog dies?

[Published on 29th Dec 2014]

What happens to New and Returning Visitors when my blog dies?

[Published on 19th Jan 2015]

This answered,

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How will my 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.

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,

What happens to Page Views when my blog dies?

[Published on 8th Dec 2014]

What happens to Bounce Rates when my blog dies?

[Published on 15th Dec 2014]

What happens to Session Duration when my blog dies?

[Published on 22th Dec 2014]

What happens to Pages per Sessions when my blog dies?

[Published on 29th Dec 2014]

What happens to New and Returning Visitors when my blog dies?

[Published on 19th Jan 2015]

This answered,

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When will my blog die (A study)

Codemakit once conducted a study on a single question, "What happen when you do not post for a week". Let us take this question further and ask another, "What happens when you do not blog for a month?". 

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

When does your blog die if your do not post about anything?

The complete article is in the form of a study presented in a simple way (as is always done at codemakit website research)

The following study was conducted in the time frame of 19th Sept, 2014 to 1st November, 2014, i.e. a total of 44 Days.

The Experiment

This was an experiment proposed in which no changes were made on a blog for a total of 44 days. 

Based on the current data from the website, the data was plotted on graph and extrapolated forwards to find out, when will the blog die. Here are some examples, (though for the sake of clarity, I would suggest you to read the parameters separately).

Parameters Compared

The study measured the following parameters, Number of Visitors, Bounce Rates, Pages per Session, percentage new sessions, Percentage of returning Sessions and Average Session time.

The death of a blog in simple words is basically a blog having the following parameters.

1. Number of Visitors = Zero

2. Bounce Rates = 100 %

3. Pages per Session = Zero

4. Percentage new sessions = 0

5. Percentage of returning Sessions = 0

6. Average Session time = Zero

Let us first define the parameters first, the number of Visitors is fairly easy to decipher, it has been extensively covered in various articles on Method to double your visitors and What to do for higher blog visitor series.

The Bounce Rate too is basically the percentage of visitors who bounce off from your page. (though bounce rates are not a true indicator of your blog's health). Those would be discussed in further articles describing each parameter in detail. 

Pages per session is the number of pages a person opens at the blog when he/she browses through the website.

Percentage new sessions are the number of visitors who have come to your page for the first time. 

Percentage of returning sessions are the number of visitors who has visited the website once or more before. 

Average session time is the amount of time a person spends on the website before moving on. if you're interested about the parameter itself, you can view another codemakit article on make your visitors stay longer at your website, which is same as increasing the average session time.

The Results

During the period of Study, the six parameters showed some differences. 

Obviously the number of visitors would reduce down to zero, the Bounce rate would increase to 100%, Pages per session too can reduce to zero. 

But there was one anomaly in the data, within 44 days of the study, it was found that the average session duration did not reduce down to zero, in fact, it actually would never come close to zero. The Average Session Duration of the blog kept on increasing as the time progressed. 

However for more detailed results on the different changes to the parameters of the blog, it is advisable to check the individual articles first.

The Complete Study

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

What happens to Page Views when my blog dies?
[Published on 8th Dec 2014]

What happens to Bounce Rates when my blog dies?
[Published on 15th Dec 2014]

What happens to Session Duration when my blog dies?
[Published on 22th Dec 2014]

What happens to Pages per Sessions when my blog dies?
[Published on 29th Dec 2014]

What happens to New and Returning Visitors when my blog dies?
[Published on 19th Jan 2015]

This will answer,

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