What stands out most about Salesforce Data Cloud is its ability to unify diverse customer data sources into a single, real-time customer profile. This comprehensive 360-degree view enables personalized marketing, sales, and service experiences driven by AI and analytics.

Key strengths include:

Seamless integration of data from multiple systems, including CRM, marketing, commerce, and more.

Powerful real-time segmentation and audience activation for targeted campaigns.

Built-in Einstein AI capabilities for predictive insights and next-best actions.

Scalability and flexibility to tailor data models and workflows to unique business needs. Review collected by and hosted on G2.com.

One potential downside of Salesforce Data Cloud is its complexity and learning curve, especially for organizations new to data unification and customer data platforms. Setting up integrations, configuring data models, and leveraging AI-driven insights may require significant initial investment in time and skilled resources Review collected by and hosted on G2.com.

The zero-copy functionality has proved its value time and time again. Allowing a seamless, cheap and easy way to bring data into your Salesforce instance for segmentation, analytics, AI, or any other purpose. Review collected by and hosted on G2.com.

The party identifcation DMO proves rather difficult to break down and understand, and a good technical understanding of this and the 360 model is needed in order to properly drive unification. At the time we implementated, the documentation was somewhat poor however since then, it has significantly improved, and the online communities such as Data Blazer proved a fruitful source of infomration. Review collected by and hosted on G2.com.

What stands out most is how seamlessly Data Cloud integrates with both Salesforce-native and external data sources like Amazon S3. The platform’s ability to harmonize disparate datasets into a unified customer profile has been a game-changer. Its real-time segmentation and activation capabilities allow us to respond to customer behavior with agility, while the intuitive UI and strong governance features make it scalable across teams. The identity resolution engine is particularly impressive—it’s helped us reduce duplication and improve personalization across channels. Review collected by and hosted on G2.com.

While the platform is robust, the initial onboarding and data modeling phases require a steep learning curve, especially for teams new to CDPs. Some UI components can lag when handling large datasets, and a few connectors for niche third-party tools require custom development. Additionally, documentation around advanced orchestration flows could be more detailed to support complex use cases. Review collected by and hosted on G2.com.

What i like best about Salesforce Data Cloud is how it brings all of my company's data together in one place. In my day-to-day work, i use it to create unified customer profiles that give me a clear understanding of each customer, which makes it easier to make informed decisions and plan next steps. It gives me confidence that the data I'm working with is accurate and up-to-date. It helps me break down data silos, harmonize information from different systems and automate workflows without needing to manually pull data from multiple sources. The platform is straightforward to set up and get running and i rely on it daily to access real-time insights and manage my tasks efficiently. Integration with other salesforce apps is seamless and customer support is always responsive and helpful whenever i needed guidance. Using it has made my work faster, more organised and more impactful, allowing me to focus on delivering better outcomes for our customers. Review collected by and hosted on G2.com.

There's really nothing i dislike about Salesforce Data Cloud. The platform is constantly evolving with new features and improvements being released which keeps it exiting to learn and use. Review collected by and hosted on G2.com.

Zero copy data migration is incredibly efficient and seamless. It eliminates the need for manual data movement, saving time and reducing errors during integration Review collected by and hosted on G2.com.

Initial Learning Curve: The platform has a steep learning curve, especially for teams unfamiliar with data lakehouse concepts or Salesforce-native data architecture.

Cost Management: Usage-based pricing can be difficult to predict, especially when data volumes scale rapidly. Organizations need to monitor usage closely to avoid unexpected costs. Review collected by and hosted on G2.com.

(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.

(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.

I like how Salesforce Data Cloud brings data from different sources into a single real-time view of the customer. It makes it easier to build personalized experiences, drive smarter automation, and even helps agents by providing relevant knowledge articles to support customers better. Review collected by and hosted on G2.com.

Sometimes Salesforce Data Cloud can feel a bit complex to set up and manage, especially when dealing with large data models and identity resolution. It takes time to configure properly and can be overwhelming for new users Review collected by and hosted on G2.com.

I appreciate how this platform brings together customer data from various sources into a single, unified profile, providing a clear and consolidated overview. The real-time insights and segmentation features allow me to better understand customer behavior and respond quickly. The AI-powered recommendations and analytics support more data-driven and efficient decision-making. I also value how well it integrates with other Salesforce tools, which makes the overall workflow more connected and seamless. Review collected by and hosted on G2.com.

The setup and configuration can feel complex at times, especially when dealing with data mapping and permissions — it requires a learning curve and technical precision. Review collected by and hosted on G2.com.

I appreciate how Salesforce Data Cloud simplifies the creation of segmentations using various criteria and data points which isn't possible in native Salesforce reports. The integration with Marketing Cloud is extremely useful, allowing us to act on insights about prospects and enhance account engagement. Review collected by and hosted on G2.com.

I find setting up Salesforce Data Cloud to be quite difficult due to the extensive training required and the new terminology introduced. It feels almost like learning a new product from scratch, especially with functionalities like data mapping, unification, and segmentation that we hadn't handled before. Additionally, the product's complexity is heightened by areas where writing code is necessary, such as with calculated insights and query editors, which differ significantly from standard Salesforce administration tasks. This steep learning curve is not just challenging but makes the overall user experience less intuitive, especially for experienced Salesforce administrators. Review collected by and hosted on G2.com.

What I appreciate most about Salesforce Data Cloud is how it brings together data from various sources to form a unified, real-time customer profile, offering a comprehensive 360° view of each person. Its AI-powered segmentation and activation features make it possible to deliver highly personalized marketing and engagement. I also value the way it integrates smoothly with the wider Salesforce ecosystem, which supports more intelligent automation and improved decision-making across sales, service, and marketing. Review collected by and hosted on G2.com.

What I dislike about Salesforce Data Cloud is that initial setup and data mapping can be complex, especially when dealing with legacy or siloed systems. It also requires strong data governance and technical expertise to maintain accuracy and prevent duplication. Additionally, licensing and storage costs can become significant as data volume and use cases expand. Review collected by and hosted on G2.com.