Impression Share by Ad metric measures the percentage of impressions your ad received out of the total number of impressions it was eligible to receive. It helps to understand how often your ad is shown compared to your competitors.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Impression Share by Ad using Databox, follow these steps:
How often your ad was in the first position of all results, as a percentage of your total impressions.
The estimated percentage of impressions your ad did not receive due to issues with your ad ranking.
Conversions by Campaign measures the number of actions taken on your website, such as a purchase or sign-up, that resulted from a click on your campaign during a specified time period.
Average CPC by Ad is a metric that shows the average cost per click for each individual ad in a campaign, giving advertisers insight into which ads are performing best and where budget adjustments may be needed.
The Spend metric refers to the amount of money spent by an advertiser on their campaigns over a specific period of time. It reflects the total cost of running ads, including clicks, impressions, and other costs associated with advertising on Bing.
The Conversion Rate by Ad Group metric measures the percentage of clicks on an ad that resulted in a desired action such as a purchase or sign-up. This metric helps identify which ad groups are most effective at driving conversions and can guide optimization efforts.
Return On Ad Spend (ROAS) is a metric that measures the amount of revenue generated by an ad campaign compared to the amount spent on it. It helps to determine the profitability of the campaign.
The Quality Score by Ad Group metric is a measure of the relevance and quality of your ads and keywords within a specific ad group. A higher score can lead to better ad placement and lower costs per click.