Salesforce Data 360 (formerly Data Cloud) Pricing Overview

Consumption Credits

$500.00

100000 Credits

List Price

Visit our Data Cloud Pricing Calculator at https://www.salesforce.com/data/pricing/calculator/. This calculator will help you estimate your Data Cloud consumption and generate an estimate based on your usage of different features.

Salesforce Data 360 (formerly Data Cloud) has 1 pricing edition that costs $500.

Pricing information for Salesforce Data 360 (formerly Data Cloud) is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase Salesforce Data 360 (formerly Data Cloud) must be conducted with the seller.

Pricing information was last updated on August 13, 2025

Salesforce Data 360 (formerly Data Cloud) Pricing FAQs

Generated using AI

The pricing of Salesforce Data 360 (formerly Data Cloud) is best suited for mid-market and enterprise organizations already invested in the Salesforce ecosystem. G2 reviewers from consulting, financial services, healthcare, and retail industries highlight strong value when unifying large volumes of customer data across multiple systems. Mid-market reviewers praise its segmentation and real-time activation capabilities, while enterprise users leverage it for complex identity resolution and AI-driven insights. G2 reviews of Salesforce Data 360 (formerly Data Cloud) indicate that smaller businesses find the pricing steep relative to their data volumes, making it less accessible for teams without dedicated technical resources or substantial Salesforce infrastructure already in place.

Salesforce Data 360 (formerly Data Cloud) does not offer a free version or free tier. According to G2's pricing data for Salesforce Data 360 (formerly Data Cloud), the entry point is a consumption-based credits package starting at $500.00, covering Data Services and Segmentation and Activation. G2 reviewers frequently note that custom enterprise quotes are available for larger-scale needs. Several G2 users highlight that there is no lower-cost or freemium alternative within Salesforce Data 360 (formerly Data Cloud)'s pricing structure, making the $500.00 consumption credit package the baseline commitment for any organization looking to access its data unification and segmentation capabilities.

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Salesforce Data 360... Pricing Reviews

(2)

Anubhav C.

Enterprise Data & AI Specialist

Information Technology and Services

Small-Business (50 or fewer emp.)

8/20/2025

"Salesforce Data Cloud Excels at Unifying Customer Data for Personalized Engagements"

5/5

What do you like best about Salesforce Data 360 (formerly Data Cloud)?

(1) Unified Customer Profiles: Data Cloud’s ability to harmonize data from different sources into a single, actionable Customer view is a standout feature, enabling personalized interactions across sales, service, and marketing.

(2) AI powered insights: Integration with Salesforce AI provides predictive analytics and real time insights, helping businesses forecast, understand customer behavior, and reduce churn.

(3) Scalability and Integration: The platform’s zero-ETL architecture and out-of-the-box connectors allow seamless data flow from external systems, making it adaptable for diverse business needs. Review collected by and hosted on G2.com.

What do you dislike about Salesforce Data 360 (formerly Data Cloud)?

(1) High Cost for Smaller Organizations: The platform’s pricing can be prohibitive for smaller businesses, with premium features often requiring higher tier subscriptions.

(2) Complex Configuration Process: Setting up integrations and custom workflows can be time-consuming and may require expert assistance, increasing implementation costs.

(3) Limited Offline Capabilities: The platform's reliance on real-time data processing can be a drawback for organizations needing robust offline management. Review collected by and hosted on G2.com.

What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?

Salesforce data cloud offers a robust platform for unifying customer data across channels, enabling real-time insights and personalized experiences. It excels in consolidating disparate data sources into a 360° customer view, which is critical for businesses aiming to leverage AI and automation. However, its complex navigation and occasional integration delays can hinder the user experience, particularly for new users. The platform’s strengths lie in its capabilities and AI integration, but it might require some initial training and regular reviewing of resources to maximize its potential. Review collected by and hosted on G2.com.