Result

Quantitative

More - better

Daily

An impression is counted as the number of times an instance of an ad is on screen for the first time. (Example: If an ad is on screen and someone scrolls down, and then scrolls back up to the same ad, that counts as 1 impression. If an ad is on screen for someone 2 different times in a day, that counts as 2 impressions.)

This method of counting video impressions differs from industry standards for video ads. With the exception of ads on Audience Network, impressions are counted the same way for ads that contain either images or video. This means that a video is not required to start playing for the impression to be counted.

It provides insights into how many times your ad is displayed on users' screens, helping advertisers assess the visibility and potential awareness of their ad campaigns.

By monitoring impressions, advertisers can make informed decisions about ad frequency, targeting, and budget allocation to optimize their campaigns for better brand recognition and audience engagement.

Suppose you're running a Facebook ad campaign to promote your new product. During the campaign, your ad was displayed to users multiple times.
Your ad was displayed to User A once.
Your ad was displayed to User B twice on the same day.
Your ad was displayed to User C four times on different occasions.
Here's how you calculate the 'Impressions' metric:

Impressions = The number of times your ads were on screen

Impressions = 1 (User A) + 2 (User B) + 4 (User C)

Impressions = 7

Clicks (All)
Video Plays

Reach
Amount Spent
CPM (Cost Per 1,000 Impressions)
Frequency

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by Overall Campaign
by Ad Set
by Individual Ad
by Campaign Objective
by Audience Segment
by Geographic
by Time Period
by Device Type
by Ad Placement

Available in JetMetrics Lite only

1. Analyze the correlation between 'Impressions' and other key performance metrics, such as click-through rate (CTR), conversion rate, or ad engagement, to determine if there is a relationship between impressions and ad effectiveness.
2. Examine the trend of 'Impressions' over time to determine if there are specific days, weeks, or months when impression counts are notably higher or lower, and what external factors may be influencing these trends.
3. Segment the data to investigate if certain audience demographics, interests, or locations result in higher or lower impression counts, and how this information can inform targeting strategies.
4. Investigate how the ad creative, messaging, or content type impacts the 'Impressions' metric, and if there are specific ad elements that consistently lead to higher visibility and impression counts.
5. Compare the 'Impressions' metric across different ad placements on Facebook (e.g., in-feed, Stories, right column) to identify which placements offer the highest visibility for your ads.
6. Analyze seasonal or time-specific patterns in the 'Impressions' metric to determine if the number of impressions vary on particular days or during specific times of the year, and how you can adjust your ad strategy accordingly.

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