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.
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Used to show a simple Metric or to draw attention to one key number.
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 Average CPC using Databox, follow these steps:
Use this Databoard to track the overview of the account-wide spend, engagement, CPC, impressions, etc.
High-level insights into Facebook Ads, Google Ads, & LinkedIn Ads
The Clicks metric represents the total number of clicks on your ad, including clicks on links, buttons, and other interactive elements within the ad.
Engagement is a metric that measures how users interact with your content on LinkedIn. This can include likes, comments, shares, and clicks.
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.
Average CPM (Cost Per Thousand Impressions) is the average cost that an advertiser pays for a thousand ad impressions on LinkedIn.
Spent by Campaign is a metric in LinkedIn Ads that shows the total cost spent on a specific advertising campaign during a specified time period.
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. 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.
Amount spent per lead collected, split up by Ads.
Impressions on your ad that led to an event registration, split up by Ads.