This section offers a targeted perspective on the revenue generation aspects of your digital assets within the Project Agora Platform. It focuses on showcasing key insights into the monetization performance of your website, serving as a dedicated hub for tracking and analyzing its financial aspects.
Tip: Choose from a variety of data sources to integrate into the Project Agora Platform: - ConnectAd - Criteo - Google Ad Manager (GAM) - Index Exchange - Magnite - Xandr Enhance your reporting and uncover valuable insights by connecting your data sources today!
Ad Revenue
Ad Revenue, short for advertising revenue, represents the net revenue earned by displaying paid advertisements on your website along with your online content. It offers valuable insights into the effectiveness of your advertising efforts and your business's financial health. This metric includes data specifically originating from data sources onboarded on the Project Agora Platform. It receives several daily updates, reporting revenue from the previous day, typically starting around 07:00 UTC. The 'Last update' timestamp indicates the time the value was last updated today.
Note: It's important to be aware that data sources routinely supply ad revenue updates for up to 7 days following the date the revenue is recorded. As a result, you may notice minor updates in ad revenue values during this time frame.
By monitoring Revenue, you can visually observe and understand trends and patterns, compare daily data to identify shifts in revenue, and make informed decisions on optimizing your strategies. Revenue monitoring provides the foundation for effective financial management and strategic planning.
You can find more information on how this metric is calculated here.
Ad Revenue by Source
Ad Revenue by Source represents your website's net ad revenue for the last 7 days, split by the data sources that have been connected to the Project Agora Platform. Each colored line represents a different data source, as listed in the chart legend.
Hover your mouse cursor over the chart dots to see the exact amount of ad revenue for each data source, per day. The chart updates throughout the day for the previous day's data.
Monitoring ad revenue by source is valuable for optimizing your strategies by identifying high-performing sources, tailoring content to audience preferences, and diversifying revenue streams to manage risks and negotiate better terms with partners. This data-driven approach enhances profitability and long-term planning.
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How to optimize Ad Revenue per Source:
- Analyze historical performance data to understand strengths and weaknesses of each source's revenue generation.
- Diversify Ad partnerships to access a broader pool of advertisers and campaigns.
- A/B test placements, and formats for each source, refining based on user engagement and conversions.
- Continuously monitor metrics, promptly adjusting strategies based on real-time performance insights to optimize revenue outcomes.
Ad Revenue by Format
Ad Revenue by Format represents your website's net ad revenue for the last 7 days, split by the formats and data that have been connected to MOC. Each colored line represents a different format, as listed in the chart legend. The available formats are:
- Native: includes revenue generated by Project Agora Content Discovery format
- Display: includes Display and Non-Adserved Display revenue
- Video: includes Video-Outstream and Video-Instream revenue
- Other: includes revenue generated by all the other formats
Hover your mouse cursor over the chart dots to see the exact amount of ad revenue for each ad format, per day. The chart updates throughout the day for the previous day's data.
Monitoring ad revenue by format is essential for identifying which ad formats, such as display, video, or native ads, are generating the most revenue. This enables you to optimize your content strategies and prioritize formats that resonate better with your audience, ultimately maximizing your advertising earnings.
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How to optimize Ad Revenue by Format:
- Try different ad placements within your content to find the most effective positions for generating higher ad revenue.
- Use responsive design to ensure your website and ads are mobile-friendly, providing a seamless experience for users across various devices and potentially increasing ad interactions.
- Offer relevant content by aligning your content with the ad formats and audience, ensuring a cohesive and relevant user experience that can lead to higher engagement and revenue.
- Streamline ad loading speed to prevent user frustration, enhance the overall site experience, and potentially boost ad revenue.
RPMS
RPMS (Revenue Per Mille Sessions) is the average amount of revenue generated for every thousand sessions on your website. It is a key metric to assess the effectiveness of your ad inventory monetization in relation to user engagement. RPMS updates once a day, approximately at 07:00 UTC.
By monitoring RPMS, you can visually observe and understand trends and patterns, compare daily data to identify shifts in RPMS, and make informed decisions on optimizing your monetization and engagement strategies.
Formula: RPMS = Ad Revenue / Sessions x 1000
RPM & Pages per Session
RPM (Revenue per Mille) refers to the average revenue generated for every thousand pageviews on your website, while Pages per Session is the average number of pages a user views during a single session. This chart offers a visual representation of the relationship between these two metrics over the last 7 days, enabling you to visualize how changes in user engagement, as reflected in Pages Per Session, influence your ad revenue as measured by RPM. The chart updates throughout the day for the previous day's data.
Monitoring RPM and Pages Per Session is vital for aligning your content, engagement, and revenue generation strategies. It empowers you to make data-driven decisions, optimize user experience, and drive revenue growth based on real-time insights into user behavior and engagement patterns.
Fill Rate
Fill Rate is the percentage of ad requests that are successfully filled with an ad on your website. It indicates the efficiency of your ad inventory in generating revenue, as well as the demand for the available ad space. A high fill rate (close to 100%) suggests effective ad management, good demand for your ad space, and efficient use of your available inventory, while a low fill rate suggests that there's potential for improvement in ad delivery. By improving your fill rate you can optimize your ad space utilization and maximize your revenue potential. This metric updates once a day, approximately at 07:00 UTC.
Monitoring fill rate can reveal trends and fluctuations. If you notice a sudden drop in fill rate, it could signal technical issues, changes in ad demand, or adjustments to your ad setup that need attention.
You can find more information on how this metric is calculated here.
How to improve Fill Rate:
- Diversify ad networks to find more relevant ads for your audience.
- Optimize ad placement and formats by testing different ad sizes and positions to boost engagement.
- Implement Header Bidding to create competitive ad auctions for better fill rates and revenue.
- Improve website performance by optimizing loading speed and user experience to attract more visitors and advertisers.
Note: While you might assume that a 100% fill rate is ideal, that's not always the case. An overly high fill rate might indicate that your ad inventory is being filled with low-quality or irrelevant ads, leading to a negative impact on user experience. Striking a balance between fill rate and ad quality is important for both revenue and user satisfaction.
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Impression & Impressions Sold
Impressions represent the total number of times an ad is requested to be served, while Impressions Sold is the total number of times an ad is actually displayed on your website. This chart provides a visual representation of the interaction between ad demand and supply on your website over the last 7 days, and offers insights into how well the available ad inventory matches the demand from advertisers. The chart updates throughout the day for the previous day's data.
Monitoring Impressions and Impressions Sold enables you to optimize revenue, streamline operations, make informed decisions, and adapt to changes in demand. It's a critical tool for maintaining a healthy supply-demand balance and maximizing revenue potential in the dynamic landscape of digital advertising.