The Cost per Ad View metric measures the average cost of each view of a Snapchat ad. It reflects the cost advertisers pay for each time their ad is viewed by a user.
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 Cost per Ad Views by Ads using Databox, follow these steps:
Swipe Up Rate is a metric that measures the percentage of viewers who swipe up on a Snapchat ad and visit the advertiser's website or landing page. It helps advertisers evaluate the effectiveness of their ad and optimize their campaign for better engagement and conversions.
"Paid Reach by Ad Sets" measures the number of unique Snapchat users who have seen an ad within a specific ad set, as a result of paid promotion.
The 15 Second Video Views by Ad Sets metric measures the number of times a specific ad set's 15-second video ad has been viewed in its entirety by Snapchatters within the selected timeframe.
Video Plays at 75% is a SnapchatAds metric that measures the number of times your video ad was played at least 75% of the way through by users. This metric helps you assess the engagement and impact of your video ads and optimize your ad strategy accordingly.
Story Opens by Ad Sets metric measures the total number of times Snapchatters have opened your ad in a story after seeing it in the Discover tab or in Stories.
Average Screen Time is a measure of the amount of time a user spends on a particular platform or device. It provides insights into user engagement and activity levels, which can inform marketing strategies.
eCPSU (Effective Cost per Swipe Up) is a SnapchatAds metric that calculates the cost of each swipe up click on an ad to determine the effectiveness and efficiency of the campaign.
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.