Post Shares by Ad is a metric that measures the number of times an ad was shared by users on Facebook. This metric can help evaluate the virality of an ad and its potential reach beyond the initial target audience.
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 Post Shares by Ad using Databox, follow these steps:
Impressions by Ad is the number of times your ad was displayed to users on Facebook or Instagram, regardless of whether they clicked on it or not. It indicates the reach of your ad campaign.
Frequency is a Facebook Ads metric that shows the average number of times your ad was shown to each person in your target audience. It can help you understand how often your ad is being viewed by the same people and avoid ad fatigue.
CPP by Campaign represents the (estimated) average cost to reach 1,000 people split up by Campaigns.
Clicks (All) by Ad Set metric measures the total number of clicks received by an ad set across all ads within the selected date range, including clicks on links, call-to-action buttons, and other interactive elements.
The Page Likes by Ad metric measures the number of new Facebook Page likes generated by an ad campaign. It helps advertisers understand the effectiveness of their ads in driving new followers and increasing brand awareness.
Purchases by Campaign is a metric that shows the number of times people purchased after clicking or viewing an ad in a specific campaign. It helps measure the effectiveness of the campaign in generating sales and determining its ROI.
Purchases Conversion Value by Ad Set measures the total value of purchases made on your website or app attributed to an ad set.
Cost per App Install by Ad Set metric is the average cost incurred for acquiring one app install through a specific ad set. It helps to evaluate the performance of individual ad sets and optimize them to achieve maximum ROI.