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.
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 Spend by Ad Group using Databox, follow these steps:
This dashboard gives you an overview of all the key metrics in your Microsoft Advertising account
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 daily or monthly budget.
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.
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.
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.
ROAS by Ad Group measures the revenue generated by each ad group compared to the amount spent on ads; helps determine which ad groups are driving profits.
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.