Data 360

What do you like best about the product?

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.

What do you dislike about the product?

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.

What problems is the product solving and how is that benefiting you?

Salesforce Data 360 is solving one of our biggest challenges — fragmented customer data across multiple systems. Previously, our sales, service, and marketing teams were working with different versions of customer information, which led to inconsistent communication and limited personalization. Data 360 consolidates all that data into a unified customer profile, giving us a single source of truth.

It also helps solve identity resolution issues. We used to struggle with duplicate records and incomplete customer views. With Data 360’s matching and reconciliation capabilities, we can merge records intelligently and maintain cleaner data, which improves reporting accuracy and decision-making.

Another major problem it addresses is real-time engagement. Before, we relied on batch updates, which delayed campaign triggers and personalization efforts. Now, customer behavior is reflected almost immediately, allowing us to trigger journeys, segmentation, and communications in near real time.

The benefit for us has been better segmentation, more targeted campaigns, and improved customer experience. Our teams collaborate more effectively because everyone is looking at the same data foundation. Ultimately, it has helped us move from reactive communication to proactive, data-driven engagement.

What do you like best about the product?

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.

What do you dislike about the product?

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.

What problems is the product solving and how is that benefiting you?

The main challenge for us has been maintaining so many different data sources - Sales Cloud, Service Cloud, Snowflake, Pipe Drive, CSV files, etc. With Data Cloud, everything is in one place, which makes it a great choice for targeted and personalised marketing, along with strong segmentation options.

What do you like best about the product?

What I appreciate most about Data 360 is how it provides unified and reliable customer data across different systems.

What do you dislike about the product?

What I find challenging about Data 360 is its complex setup process and the steep learning curve required to get started.

What problems is the product solving and how is that benefiting you?

Salesforce Data 360 brings together scattered customer data in real time, allowing for the creation of reliable profiles, quicker insights, improved personalization, and more informed decision-making for sales, service, and marketing teams.

What do you like best about the product?

I like that Salesforce Data Cloud saves me time and keeps everything condensed. It's valuable to me because everything is in one place. The setup was not difficult, making the transition smooth. It's a very good time saver, and I would recommend Salesforce Data Cloud to others.

What do you dislike about the product?

N/A

What problems is the product solving and how is that benefiting you?

I use Salesforce Data Cloud to condense and unify information, solving the problem of being overwhelmed by too many systems. It saves me time and keeps everything in one place, making it a valuable tool for organizing data.

What do you like best about the product?

Salesforce Data Cloud’s Zero Copy Architecture offers a powerful way to connect with Snowflake—without physically moving or duplicating data. Here's how it works and why it's a game-changer

What do you dislike about the product?

Query performance is critical and Snowflake latency is a concern.

What problems is the product solving and how is that benefiting you?

We are about to implementing it and we area still in the discovery phase