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.
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 Total Impressions by Campaign using Databox, follow these steps:
The Video Plays at 75% by Ad Sets metric tracks the number of times a video ad has been played at least 75% of its total length, segmented by ad sets. It shows the effectiveness of the ad in captivating the audience's attention and generating high engagement rates.
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.
Story Opens measures the number of times users have viewed your Snapchat Story. It's an important metric to track engagement and measure the effectiveness of your ad campaign.
Total Frequency by Ad Sets measures the average number of times a user has seen an ad set in a given time period, providing insights into ad saturation and potential audience fatigue.
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 is the cost of showing an ad to a user on Snapchat. It is calculated by dividing the total cost of the ad campaign by the number of views the ad received.
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.
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.