Swipe Up Rate by Ads is a metric that measures the percentage of Snapchat users who swipe up on your ad. It tells you how effective your ad is in capturing user attention and driving them to take action. A higher Swipe Up Rate indicates a better performing ad.
With Databox you can track all your metrics from various data sources in one place.
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 Swipe Ups using Databox, follow these steps:
The Amount spent by Ad Sets metric measures the total cost incurred for a specific ad set during the selected time period. This metric helps advertisers evaluate the effectiveness and efficiency of their ad sets and adjust their spending accordingly to optimize their campaign performance.
Total impressions by Ad Sets metric tracks the number of times your ads were displayed to Snapchat users within a specific ad set. It helps measure the reach and exposure of your ad among the target audience.
Percentage of ad impressions swiped up on (Total Avg.) split up by Ads.
Video Completions by Campaign measures the number of times a Snapchat ad video is played to completion within the given campaign.
The Video Plays at 50% by Campaign metric measures the number of times a Snapchat ad video was played at least halfway through, divided by the total number of times the video was played, for a specific ad campaign.
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.
The Cost per Lead by Ad Sets metric reflects the average cost to receive a new lead from a specific targeting group within your ad campaign on Snapchat. It helps evaluate the efficiency of your ad sets in generating leads.
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.