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The Big Data Analytics Dashboard
In the top right hand corner of the Big Data Analytics section, you can find all of your sites listed (if you have more than one site using the Ezoic platform). You can look at your Big Data Analytics for one site, or across more than one site, as well as 'all sites'.
You can click ‘platforms’ which will allow you to choose whether you’d like to look at data from just your old site (pre-Ezoic), just the Ezoic platform, or both (i.e. ‘all platforms’). When looking at any data, please ensure you have the correct platform you’re interested in selected!
Want to add an individual report to your list of favorites for easy access? Just navigate to the relevant report and click the 'star' icon towards the top right of your Dashboard.
Looking for further assistance? Feel free to click the ‘help’ button located in this section. From there you can use the search bar to find relevant support articles.
You can also use the search bar to quickly find the report that you're looking for:
*Please note that the availability of certain reports is restricted to publishers using the relevant apps.
This section allows you to view key data for your site in real-time. The metrics you can track are; 'Active users on site', 'Pageviews & Projected Revenue', 'Top Active Pages', 'Top Referrals' and 'Top Locations'.
Here you can divide your revenue data into daily, weekly, or monthly. Alternatively, you can choose your own custom date range, and even divide the section up by segment (see above).
Revenue vs. Last Year
This section is the same as the ‘Revenue Overview’ section, except you’re also able to view the revenue in comparison to the chosen date range, one year ago.
As with revenue, you can view traffic daily, weekly, monthly or for a custom date range.
Traffic vs. Last Year
This tab does the exact same as the ‘Traffic Overview’ section, but compares the chosen date range to last year.
Particularly handy for those publishers using Ezoic's Layout Tester, this tab allows you to track the success of various 'experiments' that Ezoic's machine-learning technology has run to identify the optimum layout for your site.
This section gives an overview of the different types of users that are accessing your site, it pools the data to show you a range of information from demographics that are earning you the highest EPMV to where your users are located.
If you’d like analyze the demographics of your users, you can do so under this tab. Big data analytics will reveal the relevant number of visits / pageviews / engaged time / bounce rate / revenue / epmv etc. for each demographic so you can see where majority of your visitors lie. For example, in the following scenario, we're able to see that, when looking specifically at pageviews, the 25 - 34 bracket appears to be viewing the most pages:
Here you can see a pie chart and an individual breakdown of the languages that your users speak and how this relates to your key revenue and user experience metrics. For more information on the language codes used, you can visit this site. Let's take the example below, we're able to see that majority of revenue comes from users that speak English (United States):
This section will display a world map which indicates the density of where your users lie. For example, if you take a look below - the darker the color, it means the higher the concentration of your users are in those locations. So, in the example below, we can see that the highest number of pageviews come from the darker blue sections, you can then use the drop-down in the top-left to see how this changes when different metrics are selected.
This section can be looked at in one of two ways:
Local day of the week looks at how your users interact with your site on each day of the week, for example, you could compare how your bounce-rate differs from Mondays to Fridays, like in the example below:
Similar to local day, the local hour metric looks at the most popular times (based on your users' timezone) that users are engaging with your site, for example, you might want to look at how pageviews compare between 9am and 12pm and 9pm - 12am - i.e. at which times are your users viewing the highest number of pages.
Unlike the 'Local Times' reports, which tracks audience behaviour based on your users' timezone, the 'Local Timezone' report tracks audience behaviour based on your timezone. We use UTC as the base unit of measurement here.
This section looks at how the weather affects your users’ behaviour and the overall effect on your metrics. For example, you could see whether your visits typically increase or decrease based on whether it’s raining outside or when it’s a clear sky. In the example below, we can see that light rain has minimal baring on pageviews in comparison with a clear sky:
Here you can look at your return visitors and your new visitors in contrast. For example, do new visitors or return visitors have a higher bounce-rate - why is this? Once you know the data, you can adapt how you update and publish your website as you see best.
Return visitor frequency
Here you can look at the percentage of visitors that are returning visitors and how often they return to the site - as well as in relation to return visitors’ influence in your metrics such as pageviews, revenue etc.
New vs. returning
Click this section to look at a more granular breakdown of how new visitors and return visitors are impacting your key metrics, for example, return visitors bring in more revenue than new visitors - or is it the other way around?
Here you can look at the number of navigation bounces across your entire site.
This is how far into the pages on your site that a user gets by session.
Landing pages, pages and exit pages
Here you’ll be able to view your visits / pageviews / engaged time / bounce rate / revenue etc. by landing page, each page of your site, and exit pages.
By going to this section, you will be able to see how the word length of your posts affects your revenue, EPMV, bounce rate and so on. Let’s say you’re getting most of your revenue from posts that are 250 - 500 words in length, but the ones that re 0 - 250 words in length are bringing you in the most revenue. Then the information in this section will help you visualise the lengths of posts that your readers are responding best to! So in the case below, it's clear that the most revenue comes from posts that are 750 - 1,000 words in length:
Pages without revenue
Here you can look at non-revenue/earning metrics in isolation for each page of your site.
Please see our separate Knowledge Base article on Author Metrics, Published Date, Categories and Content Age: Article Context Reports
If you have more than one site using the Ezoic platform, you can directly compare them here. If you have just one site on the Ezoic platform, it will just show here on its own.
If you have any subdomains, you can directly compare them here.
Bounce rate by load speed
Here you can compare how bounce rate is affected when your site’s load speed is high/medium/low. For example, you can look at how the number of pages viewed per visitors differs depends on whether the page was loaded between 1 - 5 seconds or 5 - 10 seconds and so on. So, in the image below, we can see that when a page loads in 5 seconds or less, the site is likely to obtain a higher number of pageviews:
Pages with redirects
If you have pages that contain redirects, here you can look at these in relation to one another. E.g. how one of your pages with redirects compares with another page with redirects in terms of average pageview duration, or you can view these pages in isolation.
Here you can view common speed metrics such as average time to first byte, average time to response end, average time to interactive, average content load time etc. More info on this can be found here.
Here you’ll be able to look at which pages on your website take the longest to load (the table organizes these pages in order of longest load time to lowest).
Here you can see how often the cache is hit, missed as well as when Ezoic caching has been turned ‘off’ for your site. You can read more about Ezoic and caching here.
Layout Tester caching
If your site is enabled for Ezoic’s Layout Tester, you can see how often the cache is hit, missed as well as when Ezoic caching has been turned ‘off’ for your site.
Navigate to this tab if you’d like to look at various information in relation to each device type, for instance, head to this section if you’d like to see how engaged pageviews are performing on mobile. You’re also able to compare devices here, e.g. compare engaged pageviews between mobile and tablet.
Browser & OS
Here you can look at data by browser (Chrome, Safari, Firefox, Opera, OperaMini, IE to name a few). So, in the example below it's clear that majority of copy & pastes come from users who are using Google Chrome:
Head to this section if you’d like to focus on PWA, iOS and AMP specific data.
Here you can look at data by connection type (Cellular, Corporate, Cable/DSL, Dialup). In the following image, we can see that users typically view more pages when they are using cable/DSL compared to cellular:
Here you can look at data by service provider (Jio, Comcast Cable, AT&T Wireless, T-Mobile, Vodafone to name a few). Below, we can see that for this particular site, visitors using Jio typically have the highest number of visits and pageviews whereas users using Comcast Cable typically have the highest bounce rate:
Here you can see how much bot traffic has been detected as having visited your site.
Connection Effective Type
This section allows you to view a breakdown of the connection type (3G, 4G etc.) preferred by your users.
Here you can look at where all of your traffic comes from in percentage format. Here’s an example below of a site that receives the highest amount of revenue from users coming from Google.com, closely followed by Facebook.com:
Source / medium
Head here if you’d like to look at one particular source.
Here you can look at where all of your referrals come from in number format.
If you’re using recommended pages, you’ll be able to view the traffic in relation to these pages under this tab.
This section covers a broad summary of your site’s user experience metrics (visits, return visitors rate, navigation bounce rate, regular bounce rate, and so on).
By device type UX
This section covers a broad summary of your site’s user experience metrics by device (visits, return visitors rate, navigation bounce rate, regular bounce rate, and so on). For example, below, users are most engaged with the page when browsing from a mobile device:
By page UX
This section covers a broad summary of your site’s user experience metrics by page and includes all pages of your site (visits, return visitors rate, navigation bounce rate, regular bounce rate, and so on).
By traffic source UX
This section covers a broad summary of your site’s user experience metrics by traffic source. Let’s say you wanted to compare bounce rate between users that have come from Google and those that have come from Facebook, you can look at that here.
Content viewed percentage
This figure is representative of how far down the page the user is scrolling. So 0 - 10% would mean that the user rarely scrolls below the fold, and 90 - 100% would mean they typically go to the very bottom of the page. We can also see how the scroll percentage relates to data such as pageviews. In the xample below, we can see that when the scroll percentage is at its lowest (0 - 10%), the pageviews are at their highest:
This report shows how often individual pages on your website have been shared and the share rate as a percentage of total pageviews.
This section allows you to see a breakdown by demand partner, allowing you to see how much revenue you're earning from Google Ad Exchange, AOL, AdSense Mediation, Amazon A9 Header Bidding etc.
Allows you to see how each of your placeholders is performing by page location.
This view allows you to compare the performance of your various placeholders by their placeholder ID.
Compare performance by ad size (300 x 250, 970 x 250 etc.).
Ads Per Page
This section shows you how your users are interacting with your pages based on the number of ads shown on that page.
The discrepancy between what DFP reported vs. what the actual revenue was.
The average percentage of pixels that ads are taking up on an entire page.
If you have linked your Google Search Console to Ezoic's Big Data Analytics, here is where you can gather valuable insights into your site's search rankings and how they affect user experience metrics and revenue. Discover what your most valuable keywords are, see what ranking changes could have the largest impact on your site and uncover opportunities to grow your traffic.
Any reports that you've saved using the 'Click to add favorite' icon will be saved here for quick and easy access.
Most sections of your Big Data Analytics will give you the option to view the data by segment. For example, you might only want to see the data coming from desktop traffic, or data coming solely from new visitors. You can also create a custom segment, for example, mobile traffic coming from the US.
Feel free to have a play around with the segments and choose ones which are most relevant for you! Don’t forget, when making any changes to click ‘run report’ again to ensure your changes have saved and the system accounts for the changes.
When looking at the data, you can create filters to include / exclude certain days as well as include / exclude certain metrics such as visits, pageviews, bounce rate etc.
You can drag and drop the columns of data - enabling you to keep the ones that are most important to you in clear view!