mParticle collects data from all your platforms and data connections and connects it to all of your team’s tools and systems. All collected data is used to resolve identities and stitch together customer profiles and is available to be forwarded to downstream systems. Data can also be stored in mParticle, in case you need to run data replays (re-ingesting data with help from mParticle Support). Additionally, mParticle makes all data available for evaluation in Audiences and Calculated Attributes. However, many events and the data related to them may not be needed for running data replays or evaluations depending on how you use Audiences or Calculated Attributes. With Tiered Events, you can choose to collect data but not store it, or to collect and store data but not evaluate it.
These configurations help improve performance for all customers, and may provide cost savings for value-based pricing customers.
mParticle provides three event tiers. All three tiers support ingestion and forwarding of data, but provide different levels of support for storage and evaluation:
The following table can help you decide which tier to apply to data:
Feature |
Personalize | Preserve | Connect | |||
---|---|---|---|---|---|---|
Event data | ✓ | ✓ | ✓ | |||
Profile enrichment | ✓ | ✓ | ✓ | |||
Ingest | ✓ | ✓ | ✓ | |||
Forward | ✓ | ✓ | ✓ | |||
Store for data replays and backfills | ✓ | ✓ | ||||
Evaluate for calculated attributes | ✓ | |||||
Evaluate for real-time audience | ✓ |
You can always change an event tier. If your account uses value-based pricing, you can also change the default event tier for ingested events.
To change events from the default Personalize event tier, plan and implement the changes:
In Data Master > Catalog, click Download Report to download a CSV file that lists all the events used in calculated attributes and audiences, and shows data volumes for the time range you specify.
The report shows you approximately how many of each event type have been received from input for the date range you selected. You can use this number, for example, to identify events that you may want to change to another tier, and which will be easy to remove from the calculated attribute or audience definition so that you can change the tier for that event type.
Verify that the consequences of changing tiers are acceptable in your environment:
To change the event tier:
By default, mParticle assigns all event types to the Personalize tier. However, you can change the default assignment to Preserve or Connect if your account uses value-based pricing.
Changing the default tier is helpful. For example, if you create a data plan with many new event types and most of them won’t be needed for real-time evaluations, you could assign them to the Preserve or Connect tier by default.
To change the default event tier for a workspace:
After you set a default tier, all new events of all types seen in mParticle are assigned the new default tier. You can override the default tier assignment of an event type in Data Master > Catalog. For example, you could change the default tier to Connect in the workspace setting and also set the tier for event type MyEvent to Personalize. Then, all new and existing events of type MyEvent are assigned the Personalize tier, while all other new events are given the new default, Connect.
The event volume report, accessible from Data Master > Catalog, is a CSV file that lists all the events used in calculated attributes and audiences. It also shows data volumes for the time range you specify.
Use this report for diagnostic purposes—to help you understand what data is being ingested in real-time. This report is a snapshot in time.
The report shows you approximately how many of each event type have been received from input for the date range you selected. You can use this number, for example, to identify events that you may want to change to another tier, and which will be easy to remove from the calculated attribute or audience definition so that you can change the tier for that event type.
The event counts in the Event Volume Report are approximate and don’t include some events, such as those with old timestamps.
If your contract uses usage-based pricing, expect differences between the Event Volume Report, which is a snapshot in time, and your monthly Credit Usage Report, which is a calculation of billable activity over the billable period. Billable activity takes into account the metering logic that the Event Volume Report doesn’t include. For details, see Usage metering for value-based pricing (VBP).
For example, imagine that you ingest one million events of type my_event
on day 1 of your billing period, and that event type is in the Connect tier. Then you change the event tier to Preserve on day 5 of your billing period, and ingest one million more events of type my_event
. On day 6, if you download the Event Volume Report, you’ll see two million my_event
events in the Preserve tier. However, since those first million events were process as Connect tier events, the billing report will show one million Connect tier and one million Preserve tier events of type my_event
.
The two reports are not meant to be compared, as they represent different views of your event data for different purposes:
Differences occur for a number of reasons, including (but not limited to) the following:
Was this page helpful?