By analysing reach and frequency data for Display and Video campaigns, you can better understand how many people were shown your ads and how frequently the same people were shown them over a certain period of time. Whether you’d like to focus on reinforcing a message or on reaching new people, this information can help you get a clearer picture of how you’re meeting your reach goals.
Unique reach metrics
Unique reach metrics measure the total number of people who were shown an ad. These metrics go beyond basic cookie measurements to help you to understand how many times people have been shown your ad across different devices, formats and networks.
Nowadays, people are often on the move and use multiple devices throughout the day. Our unique reach models measure the total reach of an ad by accounting for cases when people may see the same ad on different devices or when multiple people share the same device.
Unique reach metrics include:
- Unique users
- Avg. impr. freq. per user
- Avg. impr. freq. per user (7 days)
- Avg. impr. freq. per user (30 days)
See reach and frequency data
You can view reach and frequency data by adding the columns for these metrics to your statistics table, and selecting a specific time period in the drop-down menu. These columns, found under 'Reach metrics', are only available when you’re on the Campaigns page.
How Google calculates reach
How unique reach is calculated
To calculate unique reach, Google Ads uses statistical models that account for user behaviour across many browsers and devices. These models are created by observing aggregated user behaviour across Google products to determine cross-device usage patterns. Google Ads combines behaviour observations with other signals and local inputs (such as census and Google-Gallup surveys) to deduplicate an audience across sessions, formats, networks and devices. The result is the number of unique users (not cookies) who have seen an ad.
Reach and user privacy
Important: Our methodology aggregates all users and requires that a minimum number of users is reached before any data is reported to advertisers. Personally identifiable information is never used.
Why you may not see reach metrics
Most reach metrics can only be reported for a date range of 92 days or less. You may not see reach data in your table if you’ve selected a date range that’s longer than 92 days.
If you’re looking at the frequency distribution of a campaign, you can only see data in your table if the date range is 31 days or less.
Reach metrics may not immediately show data for some campaigns and reporting segments, depending on a few factors, including the availability of data by country and whether your ad has reached a minimum threshold of impressions and unique users. This is because unique reach models don’t support every country and also need to meet certain impression minimums.
Accounting for reporting delay
Due to the modelling involved in our calculations, it typically takes up to three days for reach metrics to be available in your account. Bear this delay in mind if your date range includes the last few days.
For example, if your date range is set to 'Last 7 days', consider that data from the last three days may not be complete. So the numbers shown for the last seven days may not include the most recent three days of the last seven days.
About reach and location targeting
Unique reach metrics use statistical models based on observing aggregated user behaviour at the country level. Because the models are calculated at the country level, in a small percentage of cases the metrics may appear inconsistent, particularly for campaigns that target small geographical areas, such as a single city or postcode.
In other cases, a large volume of temporary visitors to a particular location may make unique reach appear inflated. We provide our best estimates of unique reach for these cases and we’re continuously working to improve our models to provide more precise location estimates.
Frequency capping and viewable impressions
For Display campaigns, only impressions that were viewable count towards frequency caps. Other frequency reporting data may look higher than your frequency caps, because it is counting both viewable and unviewable impressions.