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.
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 using Databox, follow these steps:
Spent is a metric that indicates how much money has been paid for LinkedIn Ads campaign or set of campaigns. It is the total amount of your advertising spend during a specific time period.
The number of times a member has registered for an event or seminar after clicking on an ad which has a LinkedIn landing page, split up by Campaign Groups.
The estimated number of unique member accounts with at least one impression, split up by Campaign Groups.
Clicks on your ads that led to a conversion.
Percentage of conversions relative to clicks (total conversions divided by clicks), split up by Ads.
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 Campaigns.
Number of times a member opened a lead form, split up by Campaigns.