Salesforce Data 360 is easy to use with its intuitive interface and customizable dashboards. Setup is simple, especially if you're already using Salesforce products, and their support team is excellent, offering 24/7 help and plenty of resources. It's designed for frequent use by marketing and customer service teams, providing powerful features like data unification, segmentation, and analytics. Integration with Salesforce tools and third-party apps is smooth, ensuring a seamless data experience. Overall, Salesforce Data 360 is a robust and user-friendly platform for managing customer data effectively. Review collected by and hosted on G2.com.

I don't have any suggestions at the moment, but I will share if I have any. Review collected by and hosted on G2.com.

What I like best about Salesforce Data 360 (formerly Data Cloud) is how it brings all of our customer data together in one unified view. Before adopting it, our customer information was scattered across sales, service, marketing, and external sources — which made personalization and segmentation really difficult. With Data 360, we finally have a centralized and real-time profile for each customer that’s accessible across the entire Salesforce platform.

The data modeling and identity resolution capabilities are particularly strong. They make it easy to merge duplicate records and maintain clean, accurate profiles without extensive manual work. This has improved the quality of our analytics and given our teams confidence in the metrics they use to make decisions.

Another major benefit is the real-time data updates. Campaigns and journeys now react instantly to customer behavior, which has helped us deliver more timely and relevant experiences. It’s also straightforward to connect Data 360 with other Salesforce clouds (like Marketing Cloud and Service Cloud), which has streamlined our workflows and reduced integration complexity.

Overall, Data 360 has significantly improved how we understand and engage with our customers, making data more usable and actionable across teams. Review collected by and hosted on G2.com.

One of the main challenges with Salesforce Data 360 is the initial setup and learning curve. The platform is powerful, but configuring data streams, identity resolution rules, and data models requires a solid understanding of both Salesforce architecture and data management concepts. For teams without strong technical resources, onboarding can feel complex.

Another drawback is cost. Data 360 is a premium product, and pricing can scale quickly depending on data volume and usage. For mid-sized organizations, this can become a significant investment.

Performance can also depend heavily on how well the data model is designed. If not structured properly from the beginning, you may face delays in processing or difficulty in creating segments. Additionally, troubleshooting data ingestion or identity resolution issues sometimes requires deeper platform knowledge than expected.

Overall, while it’s a very capable solution, it does require proper planning, skilled resources, and budget to fully realize its value. Review collected by and hosted on G2.com.

The ability to unify customer data from multiple sources in real time is a game changer. The native integration with Marketing Cloud and the Salesforce ecosystem makes it very powerful for building personalized customer journeys at scale. The Identity Resolution and calculated insights features are particularly valuable for our use cases Review collected by and hosted on G2.com.

The learning curve is steep, especially for teams transitioning from traditional CDP tools. Documentation can be inconsistent, and some advanced configurations require deep Salesforce expertise. Licensing costs can also be a barrier for mid-size organizations looking to adopt it. Review collected by and hosted on G2.com.

What I like best about Salesforce Data 360 (formerly Data Cloud) is its ability to unify customer data from multiple systems into a single real-time customer profile. It helps organizations make smarter decisions by connecting sales, service, marketing, and analytics data in one place.

I also appreciate the real-time insights, identity resolution, and seamless integration with the Salesforce ecosystem, which enables personalized customer experiences and better automation across teams. The platform’s scalability and AI-driven capabilities make it very powerful for modern customer engagement and data-driven strategies. Review collected by and hosted on G2.com.

One challenge with Salesforce Data 360 (formerly Data Cloud) is that the initial setup and implementation can be complex, especially when integrating multiple data sources and defining identity resolution rules. It also has a learning curve for new users who are not familiar with data modeling and segmentation concepts.

Additionally, licensing and storage costs can become expensive for organizations managing large volumes of data, and some advanced features require significant technical expertise to fully utilize. Review collected by and hosted on G2.com.

I have been working with Salesforce Data Cloud for the last six months. So far, I’ve really liked how it makes customer unification easy and straightforward. Before Data Cloud, it was very hard to get a complete view of the customer. Now, having a unified customer view and better segmentation has made targeted marketing much easier for us. Data Cloud feels like a game changer if you’re dealing with multiple data sources and interacting with customers across different channels. Einstein Studio’s custom predictive models are also a very good add-on. Review collected by and hosted on G2.com.

So far, everything works as expected and mostly covers our needs. The pricing feels like too much if you’re not going to use all the features. Great tool overall. Review collected by and hosted on G2.com.

What I like most about Salesforce Data 360 is its ability to unify customer data from multiple sources into a single, trusted profile. It integrates seamlessly with the Salesforce ecosystem, making AI, automation, and personalization much more effective. I also like how features like Identity Resolution and audience segmentation simplify complex data management while delivering real-time insights. Although there's a slight learning curve, the platform provides excellent value for organizations looking to build data-driven customer experiences. Review collected by and hosted on G2.com.

The biggest drawback is the learning curve, especially for users who are new to data modeling and identity resolution concepts. Initial setup and configuration can also be time-consuming, and the licensing cost may be a challenge for smaller organizations. However, once implemented, the platform delivers significant value. Review collected by and hosted on G2.com.

I love how Salesforce Data Cloud integrates seamlessly with our marketing, sales, and service clouds, providing a single source of truth. The unification and integration capabilities, especially with its AI features, make data management efficient and insightful, boosting our confidence in customer-related decisions. Review collected by and hosted on G2.com.

The consideration of cost and licenses presents a challenge when thinking about expanding the implementation of Salesforce Data Cloud to another office. Review collected by and hosted on G2.com.

The solution to having all data sets amalgamated into one is good but the ability to use this data in not only a reactive way but a proactive one is very exciting Review collected by and hosted on G2.com.

The additional licence cost for a company of our size feels very restrictive to getting the most out of all systems, plus there’s still a reliance on fixing the data in the long term which will delay the execution of the system Review collected by and hosted on G2.com.

I find Salesforce Data 360 really helpful for segmentation and building data extensions for marketing cloud journeys. It greatly simplifies the segmentation of data from multiple streams, including Snowflake. I also appreciate how it leverages calculated insights for building reports. The data ingress process is very easy; it’s incredibly simple to set up, and I can have it up and running, with data coming in, in less than an hour. Overall, all the features are great. Review collected by and hosted on G2.com.

Data ingress should be free and the segmentation selection should be made easy. Segmentation and calculated insights can be more streamlined. Calculated insights reports should be grouped for dates. Segments selection of related attributes should be more streamlined and easy instead of an endless list of dropdown. Review collected by and hosted on G2.com.

I love the control possible from Salesforce Data 360 to capture data and then enhance or combine that data with Salesforce objects. Salesforce Data 360 has several features that support expansion. As we continue to learn more about what Salesforce can do for us, Salesforce Data 360 will be right there adding to our possibilities. The initial setup was very easy. The documentation was clear, and learning how to capture a data stream from our website was easy to configure. Review collected by and hosted on G2.com.

One issue right now is Zero-copy support. There are MANY connectors in beta that have little to no updates in several months. We all know this takes time, but more communication around upcoming Zero-Copy support would be really appreciated. Review collected by and hosted on G2.com.