Return on Ad Spend (ROAS) by Ad metric measures the revenue generated by an ad against the cost to create it. It helps determine the effectiveness of your advertising campaigns and identify which ads are driving the most revenue.
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 Return On Ad Spend by Ad using Databox, follow these steps:
Clicks by Ad is a BingAds metric that measures the number of times an ad is clicked by users, providing insight into the effectiveness of an ad in generating user engagement with the ad's content or page.
The estimated percentage of impressions your ad did not receive due to issues with your daily or monthly budget.
Conversions by Ad Group is a metric that indicates the number of times users clicked on an ad and completed a desired action (conversion) within each ad group. It helps measure the effectiveness of a particular ad group in driving conversions.
Average CPC by Ad is a BingAds 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 Average Position by Campaign metric shows the average ranking of your ad positions for a specific campaign in search results. A higher number means your ad appears closer to the top of the page, and a lower number means it appears closer to the bottom.
Revenue is the total amount of income generated from a particular ad campaign or keyword over a specific period of time.
Impression share is the percentage of available impressions that your ads received. It measures the impact and visibility of your ads against competitors.
Quality Score by Campaign is a BingAds metric that rates the relevance and quality of ads within a specific campaign, based on factors such as ad relevance, landing page experience, and expected click-through rate. Higher scores indicate better ad performance and can result in improved ad placement and lower costs.