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Recency reporting provides data on how long targeted users have belonged in audience segments.
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This will only show on campaigns that have data elements or campaigns that have site retargeting
Null data points are displayed as N/A on the chart.
Impressions
Recency by Impressions is a measurement of the number of impressions served to users who have been in a data segment for a specific amount of time. Using the example in the chart, when hovering over the 4-5 date range it means that users who have been in the target audience for 4-5 days have received 11,998 impressions. As you can see the 7-14 day range has the largest number of impressions, meaning users who belong to the data segment for 7-14 days generate the most impressions.
Clicks
Recency by clicks is a measurement of the number of clicks served to users who have been in a data segment for a specific amount of time. Using the example in the chart, when hovering over the 7-14 date range it means that users who have been in the target audience for 7-14 days have received 40 clicks. As you can see the 7-14 day range has the largest number of clicks, meaning users who belong to the data segment for 7-14 days generate the most clicks.
CTR
Recency by CTR (click-through rate) is a measurement of the rate of clicks per impression served to users who have been in a data segment for a specific amount of time. Using the example in the chart, when hovering over the 2-3 date range it means that users who have been in the target audience for 2-3 days have the highest click-through rate.
Conversions
Recency by conversions is a measurement of the number of conversions served to users who have been in a data segment for a specific amount of time. Using the example in the chart, when hovering over the 7-14 date range it means that users who have been in the target audience for 7-14 days have performed the most conversions. As you can see the 7-14 day range has the largest number of conversions, meaning users who belong to the data segment for 7-14 days are most likely to convert.
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