CTR by Ad measures the click-through rate for each individual ad in a Bing Ads campaign. It helps identify high-performing and low-performing ads and aids in optimizing the campaign for better results.
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 CTR by Ad using Databox, follow these steps:
Impressions by Ad Group shows the total number of times an ad from a specific ad group is displayed on search results pages or other websites on the Bing Ads network.
How often your ad was in the first position of all results, as a percentage of your total impressions.
The percentage of clicks that went to your ads. It is the share of the prospective customer's mindshare and buying intent you captured. You can use this performance metric to see where your growth opportunites are.
The Average CPC (cost-per-click) is the average amount paid for each click on an ad, determined by dividing the total cost of clicks by the total number of clicks received.
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.
Revenue by Campaign is a metric showing the total revenue generated by each specific campaign in a given timeframe. It helps to assess the effectiveness of each campaign and optimize advertising strategies accordingly.
Impression share by ad group is a metric that provides the percentage of times your ads were shown per ad group compared to the total number of times it was eligible to be shown in the search result pages.
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.