Frequency by Ad Set is a metric that measures how often a single person sees an ad within a set time frame. It helps prevent ad fatigue and determines if the target audience is too narrow.
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 Frequency by Ad Set using Databox, follow these steps:
Impressions refer to the number of times an ad was displayed to a user on a social media platform like Facebook. It does not necessarily mean that the user interacted with the ad, but simply that it was shown to them.
CPP by Ad Set represents the (estimated) average cost to reach 1,000 people split up by Ad Sets.
CTR (Link Click-Through Rate) is a measure of the ratio between clicks and impressions on a link within a Facebook ad. It shows the effectiveness of the ad in engaging the audience and driving traffic to the intended destination.
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.
The Post Shares by Campaign metric measures the total number of times a specific post has been shared across different Facebook advertising campaigns. This metric helps advertisers understand how often their content is being shared and how viral their ad campaigns are becoming.
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.
Cost Per App Install is the average amount of money spent per user who installs your mobile application through a Facebook advertisement.
The "Adds to Cart Conversion Value by Ad Set" metric measures the total value of products added to cart through each ad set, allowing advertisers to see which sets are most effective at driving valuable conversions.