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Salesforce Data 360 review

#3 of 58 in Customer Data PlatformsData Clean Room Software

A broad customer data platform built for Salesforce-centered enterprise data teams.

9.1/10Editor score
Salesforce Data 3609.1 Visit site

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Salesforce Data 360 is a customer data platform for teams that need to connect, harmonize, and activate customer information across marketing, sales, service, commerce, and AI use cases. It handles structured and unstructured data from Salesforce, databases, warehouses, and third-party applications. Identity resolution creates unified customer profiles, while segmentation, calculated insights, predictive models, and activation support downstream business and advertising workflows. Web, iOS, Android, API, and SDK access give teams several ways to work with the platform.

Pricing is organized around profiles and consumption. The Profiles plan is $240 per 1,000 profiles annually and includes profile-building Data 360 actions plus one Flex Credit per profile. Enterprise Profiles is $420 per 1,000 profiles and includes the Profiles offering, two Flex Credits per profile, and Data Masking and Ad Audience add-ons. Flex Credits cost $500 per 100,000 credits and can be applied to Data 360 actions, with pre-purchase, pay-as-you-go, and pre-commit options. Salesforce also describes free provisioning with limited storage and consumption credits, while the paid plans define the main profile-based pricing structure.

The platform’s ecosystem is a central strength for Salesforce-centered teams. It supports zero-copy integrations with Snowflake, Databricks, Google BigQuery, AWS, and IBM, alongside MuleSoft and Salesforce connections. Activation extends to Google Ads, Meta, and LinkedIn, while policy-based governance and consent controls support managed data use. Real-time ingestion and processing, APIs, and web/mobile SDKs add breadth beyond batch profile management. Data 360 suits organizations that need a wide platform for ingestion, identity, governance, modeling, segmentation, and activation. Teams seeking a narrower customer data tool may find its profile, credit, and add-on structure more than they need.

Salesforce Data 360 pros and cons

  • Where it wins
    • Unifies structured and unstructured data into customer profiles
    • Combines real-time processing, identity resolution, and audience activation
    • Connects Salesforce, warehouses, clouds, and advertising platforms
  • Where it doesn't
    • Profiles pricing is billed annually
    • Advanced usage is tied to Flex Credits and paid add-ons
    • Its broad enterprise scope may exceed narrower CDP needs

Salesforce Data 360 fact sheet, pricing and score →

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