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.
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 Average Frequency by Campaign Group using Databox, follow these steps:
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.
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.
Percentage of conversions relative to clicks (total conversions divided by clicks), split up by Ads.
Average amount spent on each conversion (total spent divided by conversions).
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), split up by Ads.
Amount spent per lead collected, split up by Campaign Groups.
Clicks on your ad that led to an event registration.