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.
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 Cost per Lead using Databox, follow these steps:
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 Ads is a SnapchatAds metric that measures the number of times users opened your ad in a Story. It helps you track engagement and effectiveness of your ad campaign.
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.
Paid Frequency by Ads is the average number of times that an ad is seen by each unique user within a specified time period, taking into account the ad's reach and impressions. It helps to measure how often an ad is shown to the same audience and can impact ad effectiveness.
Total CPM by Ad Sets shows the overall cost per 1000 impressions for a specific set of ads across all placements and audiences, helping advertisers measure their ad performance efficiency.
Average Screen Time is a measure of the amount of time a user spends on a particular platform or device. It provides insights into user engagement and activity levels, which can inform marketing strategies.
eCPSU by Ad Sets is a measure of the cost per swipe up for each individual ad set in a Snapchat campaign, indicating which sets are performing most efficiently.
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.