[GA4] Data freshness

Data freshness refers to how recently we've collected, processed, and reported data in your property. If processing takes 20 minutes, then the data freshness is 20 minutes.

Freshness varies because data is processed at different intervals. For example, intraday data is updated throughout the day for quicker access to some of your data, while daily data is more complete (drawing on more data sources) and available once per day for data with longer processing times.

We may take 24-48 hours to process data. During that time, data in your reports may change.

Intervals of data freshness

Analytics has the following typical intervals of data freshness for Google Analytics 360 and/or standard properties:

Interval	Typical processing time	Properties	Data limits per property	Query coverage
Realtime	Typically less than 1 minute	360, Standard	None	Limited to a few dimensions and metrics
360 intraday	About 1 hour	360	Premium Normal and Premium Large as defined here	All reports and API queries, except these
Standard intraday	4-8 hours	Standard	Standard Normal	All reports and API queries, except these
Daily	12 hours	360, Standard	Standard, Premium Normal	All reports and API queries
Daily	18 hours	360, Standard	Premium Large	All reports and API queries
Daily	24+ hours	360, Standard	Premium XLarge	All reports and API queries

About the intervals

Each day, we process data in three intervals—realtime, intraday, and daily—according to the processing times above. These intervals enable you to access some of your data more quickly as it becomes available.

Realtime

Realtime data is the most up-to-date data set and lets you monitor activity as it happens, but it covers fewer features than other intervals.

Intraday

Intraday data provides some data from the previous day, refreshing multiple times throughout the day so you can access data from the previous day more quickly; for 360 properties, intraday data is continuous. It's typically available before daily data in reports and API queries. When the intraday data is available before the daily data on any given day, you can expect the following:

• You may notice temporary gaps in some event-scoped traffic source dimensions (such as source, medium, campaign, and default channel group). These temporary gaps can happen due to delays in receiving data for example from third-party conversion sources.
• If event-scoped traffic source dimensions are available, we'll use the Paid and organic last click attribution model by default until the daily data is available.
• We may apply stricter cardinality limits until daily data is available. As a result, you're more likely to experience the (other) row during this period if your property has high-cardinality dimensions.

Daily

Daily data represents all the data for a day. If your report uses daily data, you can expect the following:

• If event-scoped traffic source dimensions are available, we'll use the attribution model selected for the property.
• Attribution credit for key events can change for up to 12 days after the key event is recorded, as Analytics' key event modeling improves.

Prior day data processing timeline

This table lists when data is typically available* in the property’s timezone for the prior day for most properties; actual processing times can vary.

Property categories

On any given day, a property is categorized based on the number of events it has collected and processed. A property is categorized as:

• "Normal" if the property has collected and processed fewer than 25 billion events
• "Large" if the property has collected and processed 25 billion or more events
• "XLarge" if the property has collected and processed 250 billion or more events

These measurements are taken from the previous 31-day period, excluding the current day in the property's timezone.

Note that a property that is typically categorized as "Normal" or "Large" can be considered categorized as "XLarge" for a day if it has been collecting and processing an average of 15 billion or more events per day over the previous seven days, excluding the current day in the property's timezone.

Limitations

Data may not be in sync between explorations and reporting.

Offline events

When a user's device goes offline (for example, a user loses their internet connection while browsing your mobile app), Google Analytics stores event data on their device and then sends the data once their device is back online. Google Analytics ignores events that arrive more than 72 hours after the events are triggered.