The Leads by Ad metric shows the number of leads generated by each individual ad campaign, allowing for better understanding of which ads are most effective at driving conversion.
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 Leads by Ad using Databox, follow these steps:
Conversions is a metric that measures the number of times a desired action is completed on a LinkedInAds campaign, such as filling out a form or making a purchase. It helps advertisers track the effectiveness of their ad campaigns in driving valuable actions.
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.
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.
The estimated number of unique member accounts with at least one impression.
Average Frequency is a metric that indicates the average number of times each unique member account was exposed to an ad. 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.
Average Frequency is a metric that indicates the average number of times each unique member account was exposed to an ad, split up by Campaigns. 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.
Revenue generated for ad spend (total conversion value divided by amount spent).
Revenue generated for ad spend (total conversion value divided by amount spent), split up by Campaign Groups.