How to find high-value pages Big Data Analytics
As a digital publisher, you are constantly on the hunt for new ways to increase your site’s revenue. If you’re on Ezoic’s platform, long-term optimization of website traffic through the use of ad placeholders and machine learning takes the guesswork out of ad placement and sizing.
For me, that technology alone is enough to recommend Ezoic to any digital publisher. But beyond the appeal of machine learning, Ezoic’s set of publisher tools gives publishers opportunities for good old fashioned manual optimization as well. Since I’m a bit of a data junkie, that’s right up my alley.
One of the ways publishers can increase revenue is by identifying what I call high-value pages. Simply defined, these are pages that earn more (in cases significantly more) than your site’s average.
Big opportunities in Big Data Analytics
Let’s dig right into how you can use Ezoic’s Big Data Analytics to identify your site’s high-value pages and a few ways to use them to increase your site’s overall revenue.
First, let’s log into Ezoic’s Big Data Analytics platform and take a quick look at two key metrics that you will find:
Page RPM – The revenue per 1,000 views a page earns
EPMV – The total revenue per 1,000 visits your site earns
Your top-level site revenue overview report will show your EPMV, and that’s a good number to jot down as it is your average EPMV across all pages, for the date range selected. For this example, I’m going to generate a report on the past three months of data, because I want a broad scope of my site’s earnings, as well as enough data to find my best high-value pages.
For this site, my EPMV is $21.73 over the three month report period.
Now, head over to the Content report tab and select Landing Pages
The landing page report will display data on every single page users first land on, and this report already shows the EPMV for each landing page in the default view.
Landing Page
Visits
EPMV
Pageviews/Visit
Now that the columns are set up, add a filter to find pages with enough traffic to consider statistically significant. This filter will depend on your site’s traffic as well as how much data you’re pulling in your report.