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:
Conversions by Campaign is a metric that measures the number of actions that a LinkedIn Ads campaign has driven. This can include purchases, form completions, and other desired outcomes.
The Avg. Engagement by Campaign metric measures the average level of interaction (likes, comments, shares) that a campaign receives. It helps determine the effectiveness of the campaign in engaging the target audience.
Average CPC is the average cost per click for your LinkedIn Ads campaign. It is calculated by dividing the total cost of the campaign by the number of clicks received.
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.
The estimated number of unique member accounts with at least one impression, split up by Campaign Groups.
Average amount spent on each conversion (total spent divided by conversions), split up by Campaigns.
Number of times a member opened a lead form, split up by Campaign Groups.
Amount spent per lead collected.