How Can I See The Impact Of Request Time On EPMV?

How Can I See The Impact Of Request Time On EPMV?


The time a user spends on a site is an important indicator of the quality of a resource.

For a website to rank high in the search results, you need to adapt its content according to rapidly changing trends and user preferences. The time spent by the visitor on the site affects the authority of the resource in the eyes of search engines.

Big data analytics and statistics by page request time

Session duration or visit time is the average amount of time that users spend on a page.

This parameter shows how interested visitors are in studying published content.

Time spent on a site is a great indicator of relevance to a user's request.

Time on site is literally the amount of time a user spent on a site. It is believed that the longer the stay, the more interesting the site for the visitor, the better and more informative the content on it.

In order to motivate the user to spend as much time on the site as possible and increase, for example, the Ezoic average RPM, the resource owner must take care of interesting content and ease of use of the site.

The time spent on the site will show whether the information published on the site pages is useful to the target audience or not.

There are three possible values ​​for this indicator:

  • 2 seconds - the user did not find the information he needed and returned to the SERP almost instantly to find more relevant content;
  • 2 minutes - the visitor read the article or watched the video, found the information useful, so he spent time studying the page;
  • 15 minutes - the user spent his time carefully studying the content, since he found it as useful and authoritative as possible.

In order to increase Dwell Time, you can follow fairly simple rules.

1. Add only quality content.

By replenishing your site with literate, useful articles for the audience, you can increase interest in the page by forcing visitors to spend enough time on the pages.

2. Careful selection of keywords.

It is necessary to select requests that convey the meaning and content of the article as accurately as possible.

Correctly selected keys will help attract users who really need the content, and they will spend enough time on the pages.

3. Setting up competent internal linking.

Competent internal linking will allow you to increase the time spent on the site.

By adding links to other articles on the site that will open in a new window, the website owner will increase the session duration and increase the engagement rate.

4. Reducing page loading time.

Website loading speed is a critical factor these days.

The lion's share of users surf the Internet from mobile phones, so they want pages to load faster.

In order to make it convenient to view statistics, including for this parameter, Ezoic has released a product called Big Data Analytics. With the help of this product, the site owner can find out any analytical information about his resource, including how to see the impact of the request time on EPMV.

In order to view such statistics, you must complete the following steps:

  • Log in to your Ezoic account;
  • Once in your personal account, in the left side menu you need to select the Site speed item;
  • In the drop-down additional menu, select the Request time option.

Once on the analytical page, the site owner will see a graph in front of him, and below it a table with more detailed and complete data than on the graph.

Graph and data table overview

Before starting the review, it is worth noting that the data that will be given in this article is valid for only one site. If you want to find out the same and other data, then you need to register in the Ezoic system.

The table will contain data on the following parameters:

  1. Day analyzed or page;
  2. Page views;
  3. Average time of first visit;
  4. Average time until the end of the answer;
  5. Average interaction time;
  6. Average load time for content;
  7. Average load time;
  8. Pages RPM (Revenue Per Mille).

The table shows the data for four days, we will consider them in more detail.

September 30, 2021, Thursday

The page views that day were average - 12,317, which is 0.60% of the total page views. The average first visit time was 1,546 ms, while the total for all days was 1,826.80 ms. The average time to end of response for a given day was 1,617 ms, while the total for all days was 1,940.33 ms.

The average interaction time for a given day is 2,607 ms, while the total for the entire table is 2,845.18 ms. The average download time for content was 3,796 ms, while the overall value for this parameter is 4,083.97 ms. Average load time for September 30, 2021 was 7,699 ms, while the total for this parameter for the entire table is 7,848.69 ms.

RPM for this day is very good - $ 7.58, while the average value for the table is $ 6.69.

September 29, 2021, Wednesday

Page views for that day were better than September 30 - 12,644, or 0.62% of the total. The average first visit time was 1,567 ms, which is also better than September 30th. The average time until the end of a response for a given day is 1,678 ms.

The average interaction time for a given day is 2,618 ms, while the total for the entire table is 2,845.18 ms. The average download time for content was 3,797ms, which is about the same as on September 30th. The average download time on September 29, 2021 was 7.646 ms.

RPM for the given day is also very good - $ 7.31.

September 28, 2021, Tuesday

Page views for this day are also quite good - 12 693, which is 0.62% of the total number of views. The average first visit time was 1,514 ms, while the total for the entire table was 1,826.80 ms. The average time until the end of a response for a given day is 1,625 ms.

The average interaction time for a given day is 2,547 ms. The average download time for content was 3,698 ms, the data for this indicator is approximately the same for all the days shown in the table. The average load time for September 28, 2021 was 7,539 ms, and these parameters are also almost the same for the days presented in the analytics.

RPM for the given day is also very good - $ 7.31.

September 27, 2021, Monday

Page views for this day are also quite good - 12,598, which is 0.62% of the total number of views. The average first visit time was 1,606 ms, while the total for the entire table was 1,826.80 ms. The average time until the end of a response for a given day is 1,721 ms.

The average interaction time for a given day is 2,656 ms, while the total for this score is 4,083.97 ms. The average download time for content was 3,869 ms, which is almost the same for all the days shown in this table. The average load time for September 27, 2021 was 7,724 ms, and these parameters are also almost the same for the days presented in the analytics.

RPM for the given day is also not bad - $ 7.43.

Big data analytics from Ezoic

Big Data Analytics is a relatively new product from Ezoic, which was created specifically to make it easier for website owners to get analytical information about their resources.

With the help of analytics, you can get a huge array of data on completely different criteria, both for the entire site as a whole, and for some separate necessary pages. In this product, you can even see how much the site is bringing in money at a given time, it looks very clear.

All the data that the site owner receives has a very good design. For clarity, the data is drawn up in graphs or colorful diagrams, and for convenience and greater understanding, there is always a table with data decoding under them.

Big data analytics is a very easy-to-use product, as it allows you to find out a large amount of information about a resource in a short period of time, and even a person who is just starting his development in this area can deal with all this data. In order to start working with this system and get the data that is relevant for your website, you need to register.

Frequently Asked Questions

What's the best way to increase time spent on the site?
In order to increase the time spent on the site, you need to add only high-quality content, carefully choose keywords for the content, properly set up internal linking and reduce the load time of your pages.
Is it important to track time spent on the site?
Time spent on site is a great indicator of relevance to a user's query on your site. Time on site is literally the amount of time a user spent on a site. It is believed that the longer the stay, the more interesting the site for the visitor, the better and more informative the content on it.
How can publishers evaluate the impact of request time (time taken for a page to start loading) on EPMV?
Publishers can analyze request time data alongside EPMV statistics using web analytics and performance monitoring tools. By comparing these metrics, they can assess how variations in request time influence EPMV, providing insights into user experience and potential revenue optimization.



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