Most of the features in Ad Server have their own metrics tab, containing data about aspects related to each one, including performance and management.
The creatives metrics tab will provide you with data on how your creatives are performing, to learn more about these metrics, check our Creative Metrics article.
The ads metrics tab will provide you with data on how your ads are performing, to learn more about these metrics, check our Ads Metrics article.
The page load metrics tab will provide you with data about your website loads after an ad is clicked, to learn more about these metrics, check our Page Load Metrics article.
You can learn more about how metrics are handled by visiting the Metrics page.
Once you have created your creatives and started a campaign, you will be able to check your metrics and analyze your creatives and creatives group's performance, providing you with precise data.
This metric represents the number of ads served from the Ad Server based on the end user's browser requesting the content, meaning that your ad was delivered to the publisher.
Example: In this graph, you can see that a peak of almost 700 deliveries was reached. This means your ads are being delivered to the correct audience without any restrictions on their domain. The Delivery metric is often related to the Impressions metric. After you win a bid, your ad will be served on the domain. However, if your delivery does not achieve results similar to impressions, this could be due to domain rules that block certain types of ads.
This metric represents the number of ads displayed in a browser. It indicates that the ad has been downloaded and shown in the user's browser.
Example: In this graph, you can see that a peak of nearly 650 Displays was reached. Even though your impression numbers are a bit higher, the display rate is not reaching 100%. This can be caused by the ad not being positioned well enough, causing the user to not see the ad for even a fraction of their browsing routine. Making changes to the positioning and making the creative more attractive can increase the display rate of your ads.
Number of views according to the Media Ratings Council Guidelines, 50% of the ad must be on screen for at least 1 second. This metric is only validated once the user meets the MRCG requirements.
Example: In this graph, a peak of nearly 400 Views can be seen on June 11th. If the views are close to the delivery and display numbers, you can analyze that your Ad is attractive and is achieving a branding result, since people are effectively seeing your ad. The ad must be displayed in the user's browser, and the user needs to see at least 50% of the ad for at least 1 second. If only 40% of the ad is shown, it will not count as a view.
The ratio of views to the total number of deliveries is an important metric to measure if your ads are being viewed. Based on this, you might need to change your campaign's strategy.
Example: You can see in this graph that the campaign started with an average viewability of 50% to 80%, and after some changes, reached a peak of 100% viewability. If your ads are not being viewed, you might need to check your creative and make changes, or even change the positioning of your ads to make them more visible. Keep in mind that changing the positioning can also increase the bidding price due to the spot being more competitive.
Number of clicks. If your campaign's strategy is based on clicks, pay attention to this metric and make the necessary adjustments.
Example: In this graph, you can see that a peak of almost 10 clicks was reached on certain ads. You can review this chart to identify which ads are not receiving the expected clicks and analyze how they differ from the ads that were clicked on, you also have to consider the used targets to understand in what audience your ads are performing better. A campaign based on Retargeting or Remarketing focuses on clicks to generate conversions. To achieve this, you need to create compelling creatives and may need to allocate a larger budget to ensure better positioning and target more specific audiences.
This metric measures the time it takes for the ad to load and be displayed. If your ad is too heavy, it might encounter difficulties loading on weaker devices or slower internet connections.
Example: You can see on this graph that some ads are on average taking over 3 seconds to load. If your ad is heavier or close to 2 MB, some users may experience longer loading times, resulting in delays before your ad appears. This can impact directly the visibility of your ad, potentially causing users to miss it during their browsing activities, optimizing your creative might help.
This metric measures the time it takes for a user to view the ad. By examining this metric, you can assess whether adjustments are needed regarding the placement of your ad. If users are taking too long to view your ad, it might be poorly positioned.
Example: In this metric, you can see that at the beginning of the campaign, the ads were being viewed much more quickly, largely due to their positioning. However, after some changes, the ads were taking significantly longer than intended, often extending beyond an additional 15 to 20 seconds. An ad displayed at the top of a page is much more visible than one on a side panel, which may require scrolling to view. As a result, changing the positioning of your ad will directly impact the time it takes for users to view it.
This metric measures the time it takes for a user to click on the ad. If users take too long to click, it could indicate that the ad is misplaced or not as attractive as expected. Consider making changes to enhance the attractiveness of your ad or adjusting its positioning.
Example: In this metric, you can observe that, on average, users take 1 minute and 30 seconds before clicking on an ad. If the ad is taking too long to be clicked, you should pay attention to the quality of your creative. It might be better to identify areas for improvement. Additionally, you can also use A/B Tests to assess the performance of each Ad and make multiple improvements in each test to reach a final version of that creative that gets more results. Keep monitoring your ads and make constant adjustments.
You can learn more about how metrics are handled by visiting the .
Once you have created your ads and started a campaign, you will be able to check your metrics and analyze your ads performance, providing you with precise data.
Since the group by feature is available for this metrics tab you will also be able to Group your metrics by:
Ad - See the performance of each ad separately.
Rule - Check which rule is working better for your ads, making it easy to make adjustments.
Creative Group - See which creative group is performing better and create strategies accordingly.
Exchange - Check the performance of an Ad Exchange and make adjustments based on that data.
Each Group by option may present different metrics related only to your chosen option.
Represents the total budget spent, including media purchases, ad delivery, and bidding activities. This is the overall cost of running your campaign. The campaign is not just based on its bid price, which was established when the campaign was created.
Example: In this metric, you can see that the budget spent per ad has not reached $1.00 since you established our bid pricing below $1.00. If you make any changes during the campaign, the metric will reflect those changes.
This represents the number of bids placed on auction. It does not mean you have won the auction, only that you placed a bid based on your bid pricing. The ratio of successful bids to total bids placed is an important metric, as it will be decisive for knowing when to raise your bid price or change your strategy. This metric will help you understand how many bids you win.
Example: The graph shows the volume of bids in a campaign over six days (June 10-16). The number of bids varies considerably, with the peak on June 11th (2,000 bids) and the lowest number on June 14th (less than 500 bids). On June 16th, the highest bid and the lowest bid are equal. You can see from these metrics that not all bids were successful. By making strategic changes based on bid pricing and targets, you can reach a higher win rate. It may be that the audience you were targeting is more expensive than the bid set.
After winning a bid, you earn the right to publish the ad on the domain where you placed the bid. An impression is based on a user having your ad downloaded on the domain's page.
Example: The graph shows the volume of impressions during a period of six days (June 10-16). There was a peak of nearly 700 impressions on June 11th. Once you start your campaign, if your bids are successful, you will begin to receive impressions based on winning bids. A campaign focused on branding aims to get as many impressions as possible, since your goal is to reach a larger public.
The prices paid on successful bids. Know exactly how much you are paying for a successful bid.
Example: It is useful to know when the impression is getting expensive. In this metric, you can see that the impression price has met $2.00. This can happen when the targets are not broad enough, causing you to spend more budget to get 1000 impressions. Make adjustments based on your campaign's objective. If you are targeting a more specific audience, your impression price might be a bit high.
This is the cost per every 1000 impressions. It can serve as a baseline to know whether your campaign is reaching the targeted CPM. Based on your CPM strategy, note that the CPM is not the total cost of your campaign. For that, you will have to check your Budget Spent Metric.
Example: In this graph, you can see that the CPM has reached over $3.50 due to a change of targets. If there is a very specific audience targeted, you may need to spend a bit more to win bids on disputed domains. If you start a branding campaign focused on reaching a maximum of $4.00 per 1000 impressions, you will need to check if your campaign is getting enough bid wins to generate impressions. Make the necessary changes, such as slightly adjusting your targets or increasing your bidding price.
This metric represents the number of ads served from the Ad Server, based on the end user's browser requesting the content. This means your ad will be in the user's browser.
Example: In this graph, you can see that a peak of almost 700 deliveries was reached, with an average delivery rate of 100%. This means your ads are being delivered to the correct audience without any restrictions on their domain. The Delivery metric is often related to the Impressions metric. After winning a bid, your ad will be served to the domain. However, if your delivery does not get a similar result as the impressions, it may be caused by the domain's rules, towards blocking some specific kind of Ads.
This metric represents the number of ads displayed in a browser. It indicates that the ad has been downloaded and shown to the user's browser.
Example: In this graph, you can see that a peak of nearly 650 Displays was reached. Even though your impression numbers are a bit higher, the display rate is not reaching 100%. This can be caused by the ad not being positioned well enough, causing the user to not see the ad for even a fraction of their browsing routine. Making changes to the positioning and making the creative more attractive can increase the display rate of your ads.
Number of views according to the Media Ratings Council Guidelines, 50% of the ad must be on screen for at least 1 second. This metric is only validated once the user meets the MRCG requirements.
Example: In this graph, you reached a peak of nearly 400 Views on June 11th. If the views are close to the delivery and display numbers, you can analyze that your Ad is attractive and is achieving a branding result, since people are effectively seeing your ad. The ad must be displayed in the user's browser, and the user needs to see at least 50% of the ad for at least 1 second. If only 40% of the ad is shown, it will not count as a view.
The ratio of views to the total number of deliveries. It is an important metric to measure if your ads are being viewed. Based on this, you might need to change your campaign's strategy.
Example: You can see in this graph that the campaign started with an average viewability of 50% to 80%, and after some changes, reached a peak at 100% viewability. If your ads are not being viewed, you might need to check your creative and make changes, or even change the positioning of your ads to make them more visible. Keep in mind that changing the positioning can also increase the bidding price due to the spot being more competitive.
Number of clicks. If your campaign's strategy is based on clicks, pay attention to this metric and make the necessary adjustments.
Example: In this graph, you can see that we reached a peak of nearly 10 clicks on certain Ads. You can analyze this graph to check which Ads are not being clicked as expected and see what they have different from the Ads that have been clicked. A campaign based on Retargeting or Remarketing is focused on clicks to drive conversions. To achieve this, you need to create attractive creatives and may need to allocate a larger budget to secure better positioning and target more specific audiences.
This metric represents the budget spent for each click. Many campaigns prioritize clicks, and CPC indicates the cost per click. If your campaign emphasizes clicks, it's essential to monitor both the CPC and the Budget Spent metric to determine the overall effectiveness and cost efficiency of your campaign.
Example: In this metric, you can observe that the cost per click varies for each ad, reaching a maximum of nearly $1.30. This fluctuation may be influenced by factors such as when the ad is displayed, the time window you are targeting, and whether the creative is compelling to your intended audience.
This metric measures the time it takes for the ad to load and be displayed. If your ad is too heavy, it might encounter difficulties loading on weaker devices or slower internet connections.
Example: You can see on this graph that some ads are on average taking over 3 seconds to load. If your ad is heavier or close to 2 MB, some users may experience longer loading times, resulting in delays before your ad appears. This can impact directly the visibility of your ad, potentially causing users to miss it during their browsing activities, optimizing your creative might help.
This metric measures the time it takes for a user to view the ad. By examining this metric, you can assess whether adjustments are needed regarding the placement of your ad. If users are taking too long to view your ad, it might be poorly positioned.
Example: In this metric, you can see that at the beginning of the campaign, the ads were being viewed much more quickly, largely due to their positioning. However, after some changes, the ads were taking significantly longer than intended, often extending beyond an additional 15 to 20 seconds. An ad displayed at the top of a page is much more visible than one on a side panel, which may require scrolling to view. As a result, changing the positioning of your ad will directly impact the time it takes for users to view it.
This metric measures the time it takes for a user to click on the ad. If users take too long to click, it could indicate that the ad is misplaced or not as attractive as expected. Consider making changes to enhance the attractiveness of your ad or adjusting its positioning.
Example: In this metric, you can observe that, on average, users take 1 minute and 30 seconds before clicking on an ad. If the ad is taking too long to be clicked, you should pay attention to the quality of your creative. It might be better to identify areas for improvement. Additionally, you can also use A/B Tests to assess the performance of each Ad and make multiple improvements in each test to reach a final version of that creative that get more results. Keep monitoring your ads and make constant adjustments.
This metric indicates the prices placed on bids and shows how much you are actually paying on each auction. You can make adjustments to spend less or more budget based on how much you are paying if you are using our variable bid pricing. You can check how our intelligent bidding is affecting your costs.
Example: You can see on this graph that the average bid price ranged from $0.50 to $1.00. When placing bids on uncontested domains, you are likely to pay an average or even the minimum price for the auction, rather than the maximum. However, in highly contested domains, you may need to increase your bid or pay close to the maximum. This is largely influenced by the current price of the auction. In this metric, we observed that at some points, we encountered domains or target configurations that required higher bid prices, resulting in an increase of nearly $1.00.
This metric represents the total budget spent on media purchases and reflects the expenses incurred for acquiring ad spaces.
Example: In this graph, you can see that the budget spent was a little high. However, after making adjustments on the targets, you reached a better average of over $0.75. It is important to know exactly how much you are spending on impressions, to optimize your budget effectively. Impressions are crucial for branding campaigns, as they help reach a wider audience or convey important messages.
This metric indicates the total budget spent on the ad delivery process, including the costs associated with distributing ads to the target audience.
Example: In this graph, you can see that the average reached was between $0.15 to $0.35. It is important to understand the amount you are spending on deliveries, which is measured by the sum of impressions, deliveries, displays, and views. This will assist you in determining whether the deliveries are meeting your campaign's objectives and enable you to make necessary adjustments.
You can learn more about how metrics are handled by visiting the .
The page load metrics contain data about how your ads are performing when clicked, specifically about your website's page load, how much time it takes for your page to be loaded after a user clicks on your ads, how much each page loaded costs you and how many times your website's page has been load, you can access these metrics on the metrics tab of Campaigns or any Ad Server features.
This metric displays the number of page loads you had in the defined time frame. The number of clicks and page loads may differ because clicks pass through an anti-fraud filter. A click might be flagged as suspicious and not counted, however, if the page loads up to 15 minutes after the ad delivery, the page load will be counted.
Example: This is a more precise way to count how many users visited your page by clicking on your ads, the user will only be counted after loading your page completely. In this picture, the defined time frame was 3 days, divided into 6-hour periods, you will notice that on Aug 21 there were nearly 25 page loads and nearly 5 page loads on Aug 23.
This metric shows the ratio of pages loaded to ad delivery, which means that it shows, in percentage, how much of your ad deliveries resulted in a page load.
Example: In a context where you install the page load tracking tag on your website, you will be able to follow on this metric how much of your ad deliveries resulted in users accessing your website. In this picture, the defined time frame was 3 days, divided into 6-hour periods, you will notice that on Aug 21 nearly 0.75% of the ad deliveries resulted in a page load, and after that, on Aug 23, the page load rate was almost 0.25%.
This metric shows a median of how much of your budget has been spent for each page loaded.
Example: After installing the page loading tracking tag, this metric will show you a median of how much each page load has cost you in the defined time frame. In this picture, the defined time frame was 3 days, divided into 6-hour periods, you will notice that on Aug 21, at 12:00 PM the average cost per page load was nearly $1.60, this was the maximum cost on the period, after that there is an oscillation that stays between $0.50 and $1.50.
This metric shows a median in seconds of how much time was taken until your website's page was fully loaded.
Example: These metrics provide information on how much time it takes until your page loads, you can use this data to improve your ads and your website to be faster, which can improve your retention rate. In this picture, the defined time frame was 3 days, divided into 6-hour periods, you will notice that on Aug 21, the time to load the page was nearly 10 seconds, after that, this time was reduced to nearly 5 seconds and then increased to a little more than 10 seconds on Aug 23.
This metric displays, in percentage, the ratio between the number of clicks and the number of page loads in the defined time frame.
Example: The data provided by this metric will show you how many clicks on your ads have resulted in a page load. In this picture, the defined time frame was 1 day divided into 6h periods, you will notice that at 6 AM the click to page load rate was nearly 80%, meaning that 20% of the clicks didn't result in a page load, from noon until 6 PM the click to page load rate was nearly 60%, after that it increases at midnight to 100%, meaning every ad click resulted in a page load.
These are all the metrics available in the Creatives product for analyzing the performance of your Creatives. Additionally, when checking metrics, you can always check our to access additional information about a specific metric.
These are all the metrics available in the Ads product for analyzing the performance of your ads. Additionally, when checking metrics, you can always check our to access additional information about a specific metric.
These are all the metrics available in the Page Load Tracking feature for analyzing the performance of your page loads. Additionally, when checking metrics, you can always check our to access additional information about a specific metric.
You can learn more about how metrics are handled by visiting the .
