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.
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 using Databox, follow these steps:
This dashboard gives you an overview of all the key metrics in your Microsoft Advertising account
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.
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 metric represents the number of times a user completes a desired action after clicking on your Bing Ads campaign, such as making a purchase or filling out a form.
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.
Impression share is the percentage of available impressions that your ads received. It measures the impact and visibility of your ads against competitors.
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.
Quality Score by Campaign is a 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.