About avg. impr. freq. per user (seven or 30 days)

The avg. impr. freq. per user (seven or 30 days) is the average number of times that a person is shown a video ad from your campaign in the past seven or 30 days (either for a single day or for multiple days). The avg. impr. freq. per user (seven or 30 days) helps you understand how your weekly or monthly average frequency performance changes over time by creating a lookback window of seven or 30 days for each date. In this article, you’ll learn how avg. impr. freq. per user (seven or 30 days) is calculated for your video ads.

How avg. impr. freq. per user (seven or 30 days) compares to avg. impr. freq. per user

Unique reach and frequency metrics measure the total number of people who were shown an ad. This includes co-viewing, which occurs when multiple people watch ads together on connected TV devices. Within Google Ads, you can add additional reach and Target frequency metrics to the statistics table using the 'Avg. impr. freq. /user', 'Avg. impr. freq. /user (seven days)”, or 'Avg. impr. freq. /user (30 days)' columns. If you want to see how frequently your ads were shown to the same user over a specific period of time, choose 'Avg. impr. freq. /user' in Google Ads. If you want to see how the frequency changes over time on a weekly or monthly basis for your ads, choose 'Avg. impr. freq. /user (seven days)' or 'Avg. impr. freq. /user (30 days)' in Google Ads.

Example

You want to know how many people were shown your ad over a nine-day date range. If you view the 'Avg. impr. freq. /user' for that date range, you’ll see the average frequency across all nine days. If you view the 'Avg. impr. freq. /user (seven days)' or the 'Avg. impr. freq. /user (30 days)' for that date range, you’ll see how the average seven or 30-day frequency changes for each of the nine days in the date range.

How avg. impr. freq. per user (seven or 30 days) is calculated

Depending on whether you select a single day or multiple days in Google Ads, avg. impr. freq. per user (seven or 30 days) appears differently in the Google Ads statistics table. To change the selected day(s), click the date range selector above the performance graph in Google Ads.

Note: If available, daily frequency information appears in Google Ads after three days.

Single day calculations

If you select a single day in the date range selector, the avg. impr. freq. per user (seven or 30 days) in a campaign is calculated as the total number of impressions in a seven or 30-day lookback window divided by the total number of unique users of the campaign in that same lookback window.

Example

In Google Ads, you want to look at the avg. impr. freq. per user (seven days) from 30 January 2020 for a selected campaign. Google Ads will look at the total impressions in the campaign from 24 January 2020 to 30 January 2020 and divide the amount by the total unique users during the selected timeframe.

Let’s say that you have 1,000 impressions and 200 unique users in the past seven days for your campaign. Your avg. impr. freq. per user in the past seven days would be five (or 1,000/200 = 5).

Multiple day calculation

If you select a date range in the date range selector, the avg. impr. freq. per user (seven or 30 days) in a campaign is calculated as the sum of total impressions in a seven- or 30-day lookback window for each day in the date range, divided by the sum of total unique users in the same lookback window for each day in the date range.

Example

In Google Ads, you want to look at the avg. impr. freq. per user (seven days) from 29 January 2020 to 30 January 2020 for a selected campaign. Google Ads will look at the sum of total impressions in the lookback windows for 29 January 2020 and 30 January 2020 and divide the amount by the sum of total unique users for each day in the date range.

Let’s say that you have the following impressions and unique users for your campaign:

• 1,400 impressions and 700 unique users in the past seven days from 29 January 2020.
• 1,000 impressions and 200 unique users in the past seven days from 30 January 2020.

Your avg. impr. freq. per user in the past 7 days would be 2.7 (or [1,400+1,000]/[700+200] = 2.7).

Because of the lookback window, you may see frequency data past the campaign end date if your campaign had impressions in the last seven or 30 days. For example, if your campaign ended on 30 January 2020, and you look at the frequency data for 3 February 2020, you’ll still see frequency data for the campaign due to the lookback window.

Find reporting data for the avg. impr. freq. per user (7 or 30 days)

In Google Ads, you can find reporting data for this metric under the 'Avg. impr. freq. /user (seven days)' and 'Avg. impr. freq. /user (30 days)' columns in the 'Campaign' statistics table and the 'Videos' statistics table. To add the column(s) to the statistics table:

1. In your Google Ads account, click the Campaigns icon .
2. Click the Campaigns drop-down in the section menu, then click Campaigns.
3. Click the filter button above the statistics table.
4. Select Reach and frequency metrics, then select Avg. impr. freq. /user (seven days) or Avg. impr. freq. /user (30 days). If enough reporting data is available, the avg. impr. freq. per user (seven or 30 days) appears under the column(s).

Note: Avg.imp. freq. per user (seven days) is the most accurate metric to measure Target frequency campaign’s performance.

Reporting data for multiple days

When you select a date range in the date range selector, you’ll also see a range indicating the minimum frequency value and maximum frequency value for the selected days under the avg. impr. freq. per user.

To get a detailed view of how the avg. impr. freq. per user (seven or 30 days) changes over time, hover over a value in the column to show a line graph. You can then hover over the line graph to see the avg. impr. freq. per user for the past seven or 30 days, looking back from that specific day.

Note: The line graph can only report daily values for a date range of 30 days or less. When your selected date range is more than 30 days, you’ll see data from the last 30 days within that range.

Both the minimum and maximum frequency values and the line graph allow you to check if there are significant changes in the campaign performance over the selected days.

Related links

• Measuring reach and frequency
• Co-viewing: Definition