Revenue generated for ad spend (total conversion value divided by amount spent), split up by Campaigns.
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 Campaign using Databox, follow these steps:
Impressions is a metric that measures the total number of times your ad was shown to LinkedIn users, regardless of whether they clicked on it or not.
The Avg. CPC by Campaign Group metric shows the average cost per click for all campaigns within a specific group on LinkedIn Ads.
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.
Total value generated by your conversions (value per conversion times conversions), split up by Campaigns.
Number of times a member opened a lead form, split up by Campaign Groups.
Number of times a member opened a lead form, split up by Ads.
Amount spent per lead collected.
Clicks on your ad that led to an event registration, split up by Campaigns.