Paid eCPM by Campaign is a metric used to measure the total earnings of a Snapchat Ads campaign, divided by the total number of impressions. It helps in evaluating the effectiveness of ad campaigns in generating revenue, and helps in determining which campaigns provide the highest monetization potential.
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 Paid eCPM by Campaign using Databox, follow these steps:
Total impressions by Campaign metric represents the total number of times ads were displayed to Snapchat users in a specific campaign. It helps to measure the overall reach and exposure of the campaign.
The Paid Impressions by Campaign metric measures the total number of times your paid ads were shown to your target audience for a particular campaign on Snapchat.
This metric measures the number of times a 2-second video ad was viewed within an ad set, indicating the effectiveness of the ad in capturing and retaining viewer attention.
The Video Plays at 25% by Ad Sets metric measures the number of times a video ad was played for at least 25% of its total length, broken down by the different ad sets used in a Snapchat Ads campaign.
Total CPM by Campaign is a metric that calculates the total cost per 1000 views of an ad campaign across all ad sets. It helps measure the efficiency of campaign spend.
Cost per lead by Ads is the average cost a business pays for a potential customer to take a desired action, such as filling out a form or signing up for a newsletter, as a result of a SnapchatAds campaign.
Cost per Ad Clicks is the amount advertisers pay for each click on their Snapchat Ads. This metric helps measure the effectiveness of ad campaigns, and optimize ad costs to achieve maximum ROI.
Cost per Ad Views by Ad Sets is the average cost incurred for one view of an ad in a particular ad set. It helps to optimize the performance of ad sets by analyzing the cost-effectiveness of each view.