Revenue generated for ad spend (total conversion value divided by amount spent), split up by Ads.
With Databox you can track all your metrics from various data sources in one place.
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 Campaign is a metric that tracks the number of clicks received by each LinkedIn Ads campaign. This metric helps advertisers evaluate the effectiveness of their campaigns and optimize budget allocation.
Conversions by Campaign Group is a metric that shows the total number of conversions generated by all campaigns within a specific campaign group on LinkedIn Ads.
Engagement by Campaign measures the total interactions (clicks, likes, comments, shares) on ads within a campaign, indicating the level of audience engagement with the campaign.
Spent by Ad is a metric in LinkedInAds that calculates the total amount of money spent on a specific ad campaign during a specified time period. It helps to track and manage ad expenses more efficiently.
The estimated number of unique member accounts with at least one impression, split up by Campaigns.
Average Frequency is a metric that indicates the average number of times each unique member account was exposed to an ad, split up by Campaign Groups. It is calculated by dividing the total number of impressions (or sends) by the reach, which is the estimated number of unique member accounts with at least one impression. This metric helps understand how often target audience is seeing their ads, aiding in the assessment of ad exposure and potential ad fatigue.
Clicks on your ads that led to a conversion, split up by Campaign Groups.
Number of times a member opened a lead form, split up by Campaign Groups.