Clicks by Ad Group is a metric that measures the total number of times users clicked on ads within a specific ad group in a campaign during a given period of time.
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 Clicks by Ad Group using Databox, follow these steps:
CTR by Ad Group is a metric that measures the ratio of clicks to impressions for each ad group. It helps to determine the performance of individual ad groups by indicating the effectiveness of their ads in attracting clicks from potential customers.
The percentage of times your ad showed in the mainline, the top placement where ads appear above the search results, out of your total impressions.
The estimated percentage of impressions your ad did not receive due to issues with your ad ranking.
The Average CPC by Campaign metric represents the average cost per click (CPC) for each campaign in your account, calculated by dividing the total cost of clicks by the total number of clicks received for each campaign. This metric can help you to optimize your bidding strategy and allocate your budget effectively.
Spend by Ad Group is a metric that shows how much money has been spent on each ad group in a Bing Ads campaign. It helps advertisers to keep track of their ad spend and identify areas where they can optimize their budget to get the best return on investment.
Spend by Ad is a performance metric that displays the total cost of running individual ads. This metric helps advertisers to track and optimize their spending on specific ads for better ROI.
Return on Ad Spend (ROAS) by Campaign metric measures the revenue generated by an advertising campaign in comparison to the cost of running the campaign, showcased as a ratio. It helps to determine the effectiveness of a campaign by identifying which campaigns are delivering the best returns.