Cost per Conversion by Ad Group is a metric that computes the cost of acquiring one conversion for each ad group in your BingAds campaign. It helps you evaluate the effectiveness of your ad groups in driving conversions and enables you to make data-driven decisions on how to optimize your budget and bidding strategy.
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 Cost per Conversion by Ad Group using Databox, follow these steps:
Impressions by Ad is a metric that measures the number of times an ad was displayed on a search results page, a website or app. It indicates how many times a user has an opportunity to see an ad.
CTR (Click-Through Rate) is the ratio of clicks to total impressions of an ad. It measures ad engagement and indicates how relevant the ad is to the intended audience.
How often your ad was in the first position of all results, as a percentage of your total impressions.
Conversions by Campaign measures the number of actions taken on your website, such as a purchase or sign-up, that resulted from a click on your BingAds campaign during a specified time period.
The Conversion Rate by Campaign metric measures the percentage of clicks on an ad that result in a conversion. It helps advertisers understand which campaigns are driving the most valuable actions on their website.
Revenue by Ad is a metric that shows how much revenue is generated by each individual ad in a campaign. This allows advertisers to analyze which ads are driving the most revenue and optimize their campaign accordingly.
Return On Ad Spend (ROAS) is a metric that measures the amount of revenue generated by an ad campaign compared to the amount spent on it. It helps to determine the profitability of the campaign.
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.