User Engagement & Ad Revenue Connection
User Engagement & Ad Revenue
Digital publishers are constantly trying to understand how to improve visitors experiences and ad revenue at the same time.
What creates a good experience website visitors? Looking at traditional metrics does not always deliver the granularity required to understand how ads are truly affecting their experience.
In the study below, we highlight how authentic user engagement and ad revenue are correlated. We also dig into how one publisher was able to identify something we call Fake UX.
Below, this study will highlight how a publisher increased authentic visitor engagement, increased ad revenue, and cut Fake UX out of their website using Ezoic.
The Study Summary
The website in this case study is a niche sporting website dedicated to a distinct group of fans. They recently started using Ezoic in an attempt to enhance overall website speed, user experience, and total ad revenue.
To measure their efforts, Ezoic helped them evaluate their progress by analyzing Navigation Bounces, Engagement Time, & Engaged Pageviews Per Visit, along with ad revenue per session. They did this in Ezoic’s new free Big Data Analytics Tool.
The publisher was able to declare their efforts a success due to improvements in all four areas. In doing so, they demonstrated a how Ezoic’s machine learning enhances these engagement metrics and digital ad revenue att he same time.
A Reduction In Navigation Bounces
After implementing Ezoic, this publisher saw a 28% decrease in Navigation Bounces on their website. Navigation Bounces are essentially an internal page bounce. They reflect that a user may have accidentally navigated to the wrong page, found the content on the page they navigated to irrelevant, or been turned away by long load times or annoying ads.
Navigation bounces have been proven to be bad for ad rates long term; as they lower key advertiser performance metrics like Viewability and CTR. A reduction in Viewability and CTR has a negative impact on programmatic bids from advertisers that run campaigns based on these KPIs.
Improvements In Engagement Time
In addition to a reduction in navigation bounces, this particular website saw a 120% increase in website Engagement Time. Engagement Time is the time that a user spends reading or engaging in the content.
Engagement time measurements exclude when users are waiting for things to load, in another tab, scrolling, or cycling through navigation features. This provides publishers with a more accurate understanding for when users are actually engaging in their content.
The Ezoic data science team recently uncovered some correlations between Engagement Time and improvements in both ad Viewability and Click-Through-Rate (CTR). This publisher was able to see the exact same correlations.
Higher Engaged Pageviews Per Visit
One of the interesting phenomenon’s of Fake UX is that pageviews can often be artificially high due to navigation bounces; resulting in lower ad rates over time. Advertisers start to bid less for ad space that offers poor campaign performance (i.e. are users engaging with the ads on this page and actually completing the advertiser’s desired action)?
This is the reason why publishers are starting to look at Engaged Pageviews Per visit. This offers insight into how many pageviews visitors are accumulating that have a minimum threshold of Engagement Time per pageview.
This publisher increased Engaged Pageviews Per Visit by 56% following the implementation of Ezoic and was able to tie these improvements to increases in landing page ad rates.
The Impact on Revenue
Ultimately, these engagement metric improvements had a direct correlation to a 119% increase in session earnings, or EPMV (earnings per thousand visitors). This publisher effectively saw a two-fold increase in revenue; while watching organic traffic increase alongside the UX metric improvements.
This provided a clear cut view of how the website was performing financially as these user experience metrics were improved. In particular, the direct correlation between Navigation Bounces and Engaged Pageviews Per Visit and Advertiser campaign KPI’s that directly relate to programmatic bidding, and how these improvements result in higher publisher EPMVs.
Improving Engagement Metrics & Ad Revenue
The primary driver for these improvements on this publisher’s web property was the implementation of Ezoic. This allowed them to deliver every user a personalized ad or layout experience based on look-a-like user behavior data. This ultimately resulted in better experiences for visitors; as they saw preferred layouts or ad combinations.
By delivering visitors preferred experiences, this publisher saw improvements in website engagement indicators and also digital ad revenue. Furthermore, it wasn’t just total revenue that was increasing. It was EPMV; which shows that the publisher was actually earning more from every session — providing a true north for if they were actually earning more revenue from visitors.
Improve and Measure Engagement
Use Ezoic to implement automated testing on your web property. Split traffic between your current website and the version testing with Ezoic. Measure how visitor engagement is affected and track your EPMV automatically using advanced analytics.