Amount spent per lead collected, split up by Ads.
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 Cost per Lead by Ad using Databox, follow these steps:
Impressions by Ad metric refers to the total number of times LinkedIn users have viewed an ad. It is a measure of the ad's visibility and reach on the platform, indicating how many times the ad has been shown to potential customers.
The Clicks metric represents the total number of clicks on your ad, including clicks on links, buttons, and other interactive elements within the ad.
Conversions by Campaign Group is a metric that shows the total number of conversions generated by all campaigns within a specific campaign group on LinkedIn Ads.
The Social Actions metric measures the number of times LinkedIn users engage with an ad, by liking, commenting, sharing, or following the advertiser's company page.
The Average CTR (Click-Through Rate) by Ad metric shows the average percentage of clicks an ad receives per impression. It provides insight into the ad's effectiveness in driving user engagement and can be used to optimize ad performance.
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.
Percentage of conversions relative to clicks (total conversions divided by clicks), split up by Campaign Groups.
Revenue generated for ad spend (total conversion value divided by amount spent), split up by Campaign Groups.