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:
Average Dwell Time measures the average time viewers spend on your ad before scrolling or clicking.
The Average CPM by Campaign metric in LinkedIn Ads reflects the average cost of 1,000 ad impressions for a specific campaign, allowing advertisers to evaluate the cost-effectiveness of their campaigns.
Daily Budget is the maximum amount of money an advertiser sets aside to spend on LinkedIn advertising campaigns on a daily basis.
Cost per Lead (Email) is a metric that measures the average cost incurred to acquire each lead who shares their email address through LinkedIn Ads. It is calculated by dividing the total advertising cost by the number of leads that provided their email information. This metric helps evaluate the cost-efficiency of campaigns specifically in terms of generating email contacts, enabling better optimization and budget allocation.
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.
Impressions on your ads that led to a conversion, split up by Campaign Groups.
Average amount spent on each conversion (total spent divided by conversions), split up by Campaigns.
Clicks on your ad that led to an event registration, split up by Ads.