Impressions on your ads that led to a conversion.
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 View Conversions using Databox, follow these steps:
The Average CTR (Click-Through Rate) measures the percentage of impressions that result in clicks on a LinkedIn ad. It's a key performance indicator (KPI) that helps gauge ad effectiveness. A higher CTR indicates that more people are interested in the ad, leading to better engagement and potentially higher conversion rates.
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 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.
Percentage of conversions relative to clicks (total conversions divided by clicks).
Average amount spent on each conversion (total spent divided by conversions).
Revenue generated for ad spend (total conversion value divided by amount spent), split up by Campaign Groups.
Clicks on your ad that led to an event registration, split up by Ads.