Salesforce Data Cloud Credits

Reduce Credit Consumption for Data Ingestion and Profile Unification

This post “Salesforce Data Cloud Credits” outlines the benefits of deduplicating Salesforce CRM data before ingestion to Salesforce Data Cloud.

Salesforce Data Cloud pricing is calculated based on multiple factors; the edition, add-on licenses and credit consumption.

In respect to the latter, Salesforce provides rate cards for the 2 credit types (Data Services Credits and Segmentation and Activation Credits) which show the credit consumption rate per usage type for a given volume of records.

Data Services Credits are used for data processing (e.g. importing, exporting, transforming, unification).

Segment and Activation Credits are used for data segmentation and activation (e.g. defining segments and activating to a target).

As an example of how the credit calculation works, the Batch Data Pipeline usage type costs 2,000 Data Services Credits per 1 million records ingested. The rate card multipliers work on a pro rata basis so 500K records ingested by batch would equate to 1,000 credits.

A clear understanding of how the usage types and multipliers work is critical to accurate estimation of both the initial and ongoing credit consumption. This statement is particularly pertinent to the more expensive usage types such as Batch Profile Unification which consumes 100,000 credits per 1 million source records processed. At a real-world price of $1,000 (USD) per 100,000 credits [at May 2024] the cost to unify 1 million records is $1,000 (USD) notwithstanding the credit allowance provided by the Data Cloud Edition.

Data Cloud Anywhere (also known as Data Cloud Provisioning or Free Data Cloud) provides 250,000 data services credits per contract year free-of-charge with Salesforce CRM Enterprise Edition and above.

Starter Editions of Data Cloud provide 10M data services credits.

Irrespective of edition, credit consumption across a record lifecycle spans multiple usage types and is repetitive. For example, a given Salesforce CRM Contact record may be ingested, harmonised and unified initially on creation, and then again each time the record is modified. As the Salesforce CRM Connector ingests data on an automatic, 15-minute frequency [at May 2024], the credit consumption rate will reflect how often records are edited throughout the day.

In order to reduce the consumption of data service credits for data ingestion and unification activities, an automated deduplication process within Salesforce CRM can be implemented. OneMerge delivers a clean, defragmented data foundation for Salesforce Data Cloud which reduces credit consumption through a lower volume of ingested source records at a higher quality level. The credits consumed (at the highest rate) for profile unification can be conserved non-CRM data sources or for usage types such as Batch Calculated Insights or Data Queries.

Outside of the Data Cloud context, OneMerge deduplication also improves operational productivity in Salesforce CRM; users no longer have to spend time merging records manually or navigating duplicates across business processes or reports. Real-time merge delivers accessible and accurate data in the moment for time critical journeys. OneMerge enables effective data stewardship and consent management across diverse compliance requirements.

Thanks for reading.

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