Social Actions by Ad is a metric that measures the number of social interactions (likes, comments, shares) on a LinkedIn ad. It helps to gauge engagement and the overall success of the ad in terms of its ability to generate interest and interaction among the target audience.
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 Social Actions by Ad using Databox, follow these steps:
Clicks by Campaign Group is a metric that measures the total number of clicks that your ads received within a specific campaign group on LinkedIn. It helps track the effectiveness of your campaign groups in terms of generating clicks on your ads.
The Social Actions by Campaign metric measures the number of social interactions such as likes, comments, shares, and follows generated by an ad campaign on LinkedIn.
The Average CPC (Cost Per Click) metric measures the average amount spent for each click on a LinkedInAds campaign, helping to gauge advertising efficiency and ROI.
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, split up by Campaigns. 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.
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, split up by 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 amount spent on each conversion (total spent divided by conversions), split up by Campaigns.
Revenue generated for ad spend (total conversion value divided by amount spent).
Amount spent per lead collected, split up by Campaigns.