CPP by Ad Set represents the (estimated) average cost to reach 1,000 people split up by Ad Sets.
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 CPP by Ad Set using Databox, follow these steps:
Amount Spent by Campaign indicates the total cost incurred by a specific Facebook ad campaign over a given time period. It shows the amount of money spent on ads, including ad creation, placement, and delivery costs.
Frequency by Ad metric shows the average number of times an individual has seen a particular ad over a given period, helping to avoid ad fatigue.
CTR (Link Click-Through Rate) is a measure of how many users clicked on a link within an ad, compared to the number of times the ad was shown. It indicates how effective an ad is at encouraging users to take action and visit a website.
Post Comments by Campaign metric shows the number of comments received on Facebook posts within a particular campaign, helping measure engagement and social interaction.
The Leads by Ad Set metric shows the number of leads generated by each ad set in a Facebook Ads campaign. It helps identify which ad sets are most effective in driving lead generation.
Purchase ROAS by Ad Set metric shows the revenue generated from purchases divided by the cost of the ad set. It measures the effectiveness of ad sets in driving profitable sales and helps optimize campaigns for maximum return on ad spend.
Purchases Conversion Value by Ad metric measures the value of purchases made by people who have clicked or viewed an ad on Facebook, allowing advertisers to track their return on investment (ROI) and optimize their ad campaigns effectively.
The Adds to Cart by Ad Set metric measures the number of times an ad campaign or set has resulted in a user clicking the "Add to Cart" button on your website, providing insight into which ad sets are most effective in driving conversions.