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.
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 Cost per Lead by Campaign using Databox, follow these steps:
Amount spent by Ads metric is the total sum of money spent by an advertiser on their Snapchat Ads campaigns. It reflects the actual cost incurred by the advertiser and helps in monitoring the campaign's budget and ROI.
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.
The 15 Second Video Views by Campaign metric in SnapchatAds tracks the number of times a 15-second video was viewed in its entirety or for at least 15 seconds, within a specific advertising campaign.
The Story Opens by Campaign metric measures the number of times users have opened and viewed a particular advertising campaign's story.
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.
Total CPM by Campaign is a metric that calculates the total cost per 1000 views of an ad campaign across all ad sets. It helps measure the efficiency of campaign spend.
Story Open Rate by Ad Sets measures the percentage of times users opened a story from a specific ad set. It helps advertisers understand how effective their ad sets are at capturing audience attention and driving user engagement.
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.