" A rich man is nothing but a poor man with money "
View Kindle Store View product View product View Books
1- Estimate Earning
Estimated earnings from ads, particularly in the context of platforms like Google AdSense, refer to the projected revenue a publisher can expect to earn based on various metrics related to ad performance. This estimate is influenced by factors such as the number of ad impressions, clicks, and the types of ads displayed.
Calculation of Estimated Earnings
The formula used to calculate estimated earnings in ad networks like AdSense typically involves:
Estimated Earnings =( Total Ad Impressions × Click Through Rate CTR × Cost Per Click CPC /1000
This formula takes into account:
- Total Ad Impressions : The number of times ads are displayed.
- Click-Through Rate (CTR) : The percentage of impressions that result in clicks.
- Cost Per Click (CPC) : The average revenue earned per click on the ads.
Factors Affecting Estimated Earnings
1. Ad Impressions : More impressions generally lead to higher estimated earnings, assuming the CTR and CPC remain constant.
2. Ad Types : Different ad formats (text, display, video) can have varying CPCs, affecting overall earnings.
3. Traffic Sources : The origin of traffic (organic, paid, referral) can influence CTR and CPC.
4. Seasonality : Certain times of the year may yield higher ad rates due to increased competition among advertisers.
2- Page RPM and How to increase sale
Page RPM, or Page Revenue Per Mille, is a crucial metric for online publishers that measures the estimated revenue generated per thousand page views. It is calculated using the formula:
Page RPM = ( Number of Page Views /Estimated Earnings ) ×1000
This metric helps publishers assess the effectiveness of their ad placements and overall revenue performance by providing insight into how much revenue is earned for every thousand views of a page .
Key Metrics Related to Page RPM
1. Session RPM : Measures revenue per thousand sessions, giving insight into overall user engagement.
2. Impression RPM : Focuses on revenue per thousand ad impressions, useful for evaluating individual ad performance.
3. eCPM Effective Cost Per Mille : Often used interchangeably with Page RPM, it refers to the effective revenue earned per thousand ad impressions .
Strategies to Increase Page RPM
To enhance Page RPM, publishers can employ several strategies:
- Improve Ad Viewability : Ensure ads are visible and load quickly to maximize impressions.
- Optimize Impressions : Use techniques like ad refresh to increase the number of impressions per page view.
- Utilize Header Bidding : This method increases competition among advertisers, potentially raising the eCPM.
- Enhance Site Speed : Faster loading times improve user experience and can lead to higher engagement rates .
3- Impression RPM
is a metric that measures the estimated revenue generated per thousand ad impressions. It is calculated by dividing the total estimated earnings by the number of ad impressions, and then multiplying by 1000 .
Impression RPM=( Number of Ad Impressions / Estimated Earnings )×1000
Impression RPM is a useful metric for publishers to understand how much revenue they are earning for every thousand ad impressions served on their website .
Key Points about Impression RPM
- It measures revenue per thousand ad impressions, not page views
- It is a metric commonly used by ad platforms like Google AdSense
- It provides insight into how much revenue is generated per thousand ad impressions
- It can be used to compare performance across different ad units or pages
Impression RPM vs Other Metrics
- Impression RPM focuses on revenue per thousand ad impressions
- Page RPM measures revenue per thousand page views
- Ad Request RPM is based on the number of ad requests made, not impressions served
Strategies to Improve Impression RPM
- Optimize ad placements for viewability to increase impression quality
- Utilize header bidding to increase competition and eCPMs
- Ensure fast page load times to maximize impressions served
- Analyze performance at the ad unit level to identify high-performing placements