eCPSU (Effective Cost Per Swipe Up) is a metric that measures the total cost of a campaign per swipe up on a Snapchat ad. It takes into account all the costs associated with the campaign and divides it by the total number of swipe ups to calculate the eCPSU.
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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 eCPSU using Databox, follow these steps:
Percentage of ad impressions swiped up on (Total Avg.) split up by Ads.
Video Plays at 75% is a Snapchat Ads metric that measures the number of times a video ad was played until the viewer reached 75% of the total video length. It helps advertisers understand the engagement level of their audience and the effectiveness of their video content.
The Video Plays at 50% by Ads metric indicates the number of times a Snapchat ad's video has played up to the 50% mark of its total length. This provides insight into engagement and viewer retention for the ad.
The Video Plays at 25% metric measures the number of times a Snap Ads video has been played at least 25% of the way through, indicating engagement with the content.
Leads by Ad Sets is a metric that shows the number of potential customers who have expressed interest in your business by filling out a form or providing contact information after seeing your ad set on Snapchat.
Total Frequency by Campaign is a metric that measures the average number of times a user sees an ad within a specific campaign. It helps to identify if the ad frequency is too high or too low, which could impact campaign performance and cost.
Cost per lead (CPL) is a metric that measures the cost an advertiser pays for acquiring a new lead, typically calculated by dividing the total cost of a campaign by the number of leads generated.
The Purchase ROAS by Ad Sets metric measures the revenue generated from purchases made by customers who were shown specific ads. It helps optimize ad spend for highest return.