Total Reach by Ad Sets measures the total number of unique users who have seen at least one ad from a particular ad set during a selected time period on Snapchat. It helps advertisers understand the reach of their ads to target audience.
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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 Total Reach by Ad Set 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.
Total impressions by Ads metric is the total number of times an ad was viewed by users on Snapchat. It includes both unique and repeat views and helps advertisers measure the reach and visibility of their ad campaigns.
Paid impressions by Ad Sets metric measures the number of times an ad from a particular ad set is displayed to the target audience after the advertiser pays for it. It helps to track the effectiveness of each ad set in driving exposure and engagement for the campaign.
Percentage of ad impressions swiped up on (Total Avg.) split up by Ads sets.
Story Opens by Ads is a SnapchatAds metric that measures the number of times users opened your ad in a Story. It helps you track engagement and effectiveness of your ad campaign.
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.
The Cost per Ad Clicks by Campaign metric measures the average cost incurred for each click on a specific SnapchatAds campaign. This helps in analyzing and optimizing campaign performance to drive better 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.