Revenue generated for ad spend (total conversion value divided by amount spent), split up by Campaigns.
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 Return on Ad Spend by Campaign using Databox, follow these steps:
Average Dwell Time By Campaign measures the average time viewers spend viewing your ads in a specific campaign.
The Average Engagement metric measures the average number of clicks, likes, comments, and shares on a LinkedIn post, indicating the level of audience engagement with the content.
The Bid by Campaign metric in LinkedInAds measures the maximum amount an advertiser is willing to pay for a click or impression on a specific campaign. This value determines auction eligibility and the likelihood of winning the bid.
The number of times a member has registered for an event or seminar after clicking on an ad which has a LinkedIn landing page. This includes gross registrations and does not account for a user unregistering.
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.
Clicks on your ads that led to a conversion, split up by Ads.
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 Ads.