The Story Opens by Campaign metric measures the number of times users have opened and viewed a particular advertising campaign's story.
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 Story Opens by Campaign using Databox, follow these steps:
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.
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.
Percentage of ad impressions swiped up on (Total Avg.) split up by Ads.
Leads by Campaign is a SnapchatAds metric that measures the number of user contact details collected through lead generation forms associated with a specific advertising 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.
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.
Cost per Lead by Campaign is a metric used in SnapchatAds that calculates the cost spent on acquiring a single lead from a specific campaign. It helps in measuring the effectiveness of the campaign and determining the ROI.
The Story Open Rate by Ads metric is a measure of the percentage of users who viewed an ad within a Snapchat Story compared to the total number of users who opened the Story, indicating the effectiveness of the ad in capturing user attention.