Average amount spent on each conversion (total spent divided by conversions), 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 Cost per Conversion by Campaign using Databox, follow these steps:
The Leads by Campaign Group metric displays the total number of leads generated by each campaign group. It provides insights into which campaign groups are most successful in driving lead generation and can help optimize future campaigns.
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 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 Avg. CPC by Campaign Group metric shows the average cost per click for all campaigns within a specific group on LinkedIn Ads.
The Daily Budget by Campaign metric is the amount of money allocated per day for a specific LinkedIn Ads campaign to ensure spending stays within a set budget.
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 Campaigns.
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 opened forms that were submitted (form submissions divided by form opens).