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.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
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 Conversions by Campaign using Databox, follow these steps:
Clicks by Campaign is a metric that tracks the number of clicks received by each LinkedIn Ads campaign. This metric helps advertisers evaluate the effectiveness of their campaigns and optimize budget allocation.
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 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.
Cost per Lead (Email) is a metric that measures the average cost incurred to acquire each lead who shares their email address through LinkedIn Ads, split up by Campaigns. It is calculated by dividing the total advertising cost by the number of leads that provided their email information. This metric helps evaluate the cost-efficiency of campaigns specifically in terms of generating email contacts, enabling better optimization and budget allocation.
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.
Clicks on your ads that led to a conversion, split up by Campaigns.
Average amount spent on each conversion (total spent divided by conversions), split up by Campaign Groups.
Revenue generated for ad spend (total conversion value divided by amount spent), split up by Ads.