SAS Customer Intelligence 360 is an enterprise multi-channel marketing hub that transforms insights into action, delivering seamless, personalized customer experiences. Our technology allows marketers to replace or complement outdated MarTech and create tailored interactions that meet real-time customer needs. By dynamically consolidating online and offline interactions, the platform builds detailed customer profiles and connects known and unknown digital activities for a comprehensive 360-degree view of customer behavior. SAS Customer Intelligence 360 seamlessly integrates with data wherever it resides - cloud, on-premises, or other MarTech tools - eliminating costly and often risky migrations. It can capture detailed demographic and behavioral data to deliver personalized, targeted communications across all channels. Advanced decision-making methods, from business rules to AI models, ensure every interaction is relevant and impactful.
SAS Customer Intelligence 360 enables marketers to create seamless, personalized customer experiences by leveraging advanced capabilities across audience targeting, omnichannel engagement, real-time decisioning, and data activation. Our hybrid architecture provides unparalleled flexibility, allowing marketers to access and utilize data from cloud databases like Snowflake or existing on-premises sources without requiring large-scale migrations. Embedded AI and machine learning continuously refine customer insights, enabling the creation of precise, high-value audiences.
With SAS Customer Intelligence 360 you can design and manage omnichannel customer journeys with ease, unifying online and offline data to deliver personalized, contextual engagement across touchpoints. SAS makes it simple to deploy tailored messages through web, mobile, email, social, and third-party channels. The platform's intuitive interface, powerful decisioning engine, and real-time analytics ensure marketers can evaluate customer intent and deliver the next best actions instantly. With a range of out-of-the-box connectors, SAS integrates seamlessly into your existing MarTech ecosystem, simplifying operations while driving meaningful customer engagement.
Highlights
Best-in-Class Customer Integrated Platform: Our technology is built from the ground up, not cobbled together through mergers and acquisitions. The result is a streamlined design and process - from customer segmentation and audience creation to journey design to channel activation. Embedded AI and machine learning refine your audience insights and engagement strategies over time.
Analytics That Make Sense for MarTech: Analytics decisions can be made from within customer journeys. This allows brands to craft exceptional customer experiences and moments that really matter for consumers without going out to a siloed analytical solution. And whether you're a drag-and-drop business user or a sophisticated data science power user, we offer both do-it-for-me (DIFM) and do-it-for-you (DIFY) capabilities, giving you the flexibility to work the way that best suits you.
Hybrid Data Architecture: Unlike other marketing data clouds, SAS lets marketers keep data where they want it, pulling only the data they want to activate against into SAS Customer Intelligence 360 - and only when they want to activate it. This industry-leading approach reduces duplication and synchronization costs, controls privacy, increases data quality and speeds time to value. You can also detect events as they happen and incorporate them into relevant, analytics-ready customer profiles.
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SAS 360 Foundation provides the base platform for SAS Customer Intelligence 360 allowing users to perform marketing planning and related activities. Further purchases may be required to execute marketing activities.
This listing offers one pricing dimension: SAS 360 Foundation, billed per user under a contract term. It provides the base platform for marketing planning and related activities. Pricing scales with the number of users you license. This foundation is a starting point, not a full package. To run marketing activities like audience targeting, journey orchestration, or message activation, you may need to buy additional capabilities separately. Your cost depends on how many users need access to the base platform.
Top-of-mind questions for buyers
What counts as one user for billing under SAS 360 Foundation?
Billing is based on the number of users you license for access to the base platform. Each individual who needs to perform marketing planning and related activities on the platform counts as one user. Your total cost scales directly with how many users you provision.
What does SAS 360 Foundation include, and what might I need to buy separately?
SAS 360 Foundation provides the base platform for marketing planning and related activities. To execute marketing activities like audience targeting, journey orchestration, or message activation across channels, you may need to purchase additional capabilities separately. The Foundation is a starting point, not a full package.
How does my cost change if I add more users to the platform?
Because billing scales per user, adding users increases your cost proportionally to the number of new users licensed. Removing user access reduces the count going forward. The Foundation charge applies to the total users provisioned for the base platform under your contract term.
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SAS 360 Foundation cannot be licensed by itself. Customers who license SAS 360 Foundation must license SAS 360 Cloud Data Storage and SAS 360 Event API; and at least one of the following SAS 360 Offerings: SAS 360 Discover; SAS 360 Direct; SAS 360 Optimize; SAS 360 Audiences; SAS 360 Destinations; SAS 360 Destinations SMS.
There are contractual limits on the usage scope of SAS 360 Foundation Customers must agree to not use SAS 360 Foundation to directly deliver content to their production websites, mobile websites, mobile applications, or other high volume digital media. SAS reserves the right to negotiate additional charges if it is found that the customer has excessive downloading of content.
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TO Services - SAS Solutions & Managed Services helps organizations modernize their SAS environments and accelerate analytical performance across hybrid and cloud infrastructures. Our managed services include design, deployment, and optimization of SAS Viya, ALM, Credit and Liquidity Risk, Fraud Detection, and Customer Intelligence 360 solutions. Backed by certified SAS and cloud experts, TO Services ensures regulatory compliance (IFRS 9, IFRS 17, Solvency II), governance, and high availability for mission-critical analytics workloads.
TO Services - SAS Solutions & Managed Services helps organizations modernize their SAS environments and accelerate analytical performance across hybrid and cloud infrastructures. Our managed services include design, deployment, and optimization of SAS Viya, ALM, Credit and Liquidity Risk, Fraud Detection, and Customer Intelligence 360 solutions. Backed by certified SAS and cloud experts, TO Services ensures regulatory compliance (IFRS 9, IFRS 17, Solvency II), governance, and high availability for mission-critical analytics workloads.
Customer Data Platform Market Size, Trends and Insights By Component (Platform, Services), By Organization Size (Small & Medium Enterprise, Large Enterprise), By Deployment Type (Cloud, On Premise), By Data Channel (Web, Social Media, Smartphone, Email, Others), By End Use Industry (BFSI, Retail & E-Commerce, Media & Entertainment, Telecom & IT, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2023 to 2032
According to Custom Market Insights (CMI), The Global Master Data Management Market size was estimated at USD 5.55 Billion in 2021 and is expected to reach USD 7.55 billion in 2022 and is expected to hit around USD 23.8 billion by 2030, poised to grow at a compound annual growth rate (CAGR) of 18.2% from 2022 to 2030.
Unified customer data has delivered deep insights and drives personalized, data‑driven marketing
Reviewed on Aug 08, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for SAS Customer Intelligence 360 is to create one-stop solutions for all customers' data together, which means that a customer may take multiple products and interact with multiple channels. To get all this master data information together, I create a 360-degree view of customer interactions for any organization and I am proficient in it.
I have implemented my main use case for SAS Customer Intelligence 360 in a very effective way to achieve big performance gains. The performance is the key, and the major focus has been on the data model. I have verified with the business what key columns they are using and I have compiled all key columns into a tabular collection, ensuring that there are no joins involved even if they come from different areas or tables. At the end of the day, when they are consumed, they are presented as a single character. This approach avoids joins, enhances performance, and that is the beauty behind the tremendous performance we achieved. Additionally, I employed indexing, inverted index fundamentals, and various methodologies to enable faster retrieval.
Another aspect is that not all columns need to be placed into the central tables. When collaborating with the business, I included only those columns that are retrieved by 90 percent of users, placing the remaining columns into another table. If secondary details, such as a second address or secondary phone number, are needed, a join in the secondary tables is required to get a response back.
What is most valuable?
SAS Customer Intelligence 360 offers multiple features that are very beneficial. The features I appreciate the most include the 360-degree customer profile, AI customer insight, lead and opportunity tracking, customer segmentation, personalized offerings, automated campaigns, customer engagement score, churn prediction, next best action, dashboards, AI reports and summaries, and the AI agenda system. It encompasses all kinds of functionalities that are necessary.
Out of all these features, I find myself using AI Customer Insights and the 360-degree customer profile very frequently. The reason is that AI Customer Insights provides insights into behavior, preferences, and trends, presenting patterns from which machine learning models can be trained to yield predictions that make human decisions easier. Based on these predictions, businesses can advance and make informed choices. Additionally, regarding the 360-degree customer profile, as I have explained, it provides a comprehensive view of how customers are interlinked from an organizational perspective, creating a single version of the customer profile in one place, which makes a significant difference. It helps in avoiding duplicate data and allows for the rapid creation of customer data, making the data model incredibly efficient.
SAS Customer Intelligence 360 impacts my organization positively by delivering a much better 360-degree view of customers, enabling more personalized marketing, improving customer engagement, and helping us make faster data-driven decisions. It also assists in automating campaigns, identifying customer trends, opportunities, and enhancing the overall effectiveness of our marketing activities.
What needs improvement?
SAS Customer Intelligence 360 is already a very effective model, so I am not certain what improvements it requires. However, if enhancements are considered, making the platform easier to use, simplifying integration with other data sources, providing intuitive AI-driven insights, and introducing advanced features such as real-time architecture, stronger automations, dashboard customization, and clearer application views could improve user experience and business value.
For how long have I used the solution?
I have been using SAS Customer Intelligence 360 for the last eight to ten years on various SAS products, including SAS Management Console, SAS Visual Analytics, SAS Integration Studio, and Platform Process Manager, where I created different data integration jobs, scheduled those jobs in the management console, and monitored those jobs in the platform process manager. On the reporting side, I have used it extensively in SAS Visual Analytics, which has a laser server, and I consider myself an expert on it.
What other advice do I have?
After implementing crucial features, particularly for customer and AI insights, the organization where I worked previously experienced a rise in the customer base from eighteen million to twenty million. Customers appreciated the innovative approach I took, showcasing strong outcomes and metrics indicating this positive impact.
The accuracy and reliability of the AI capabilities within SAS Customer Intelligence 360 are very commendable. I predominantly use them in a deterministic manner, allowing for excellent outputs based on good quality data. However, it is important to note that accuracy may vary depending on the data quality, configuration, and specific use case, so human review and validation are crucial for critical business decisions.
My advice for anyone looking into using SAS Customer Intelligence 360 is to begin with a clear business objective, ensuring that customer data is accurate, complete, and well-governed prior to implementation. Focus on a few high-value use cases, such as customer segmentation, personalized marketing, and campaign optimizations, to demonstrate quick wins.
SAS Customer Intelligence 360 stands out as a robust platform for organizations aiming to enhance customer engagement and make more informed data-driven decisions. I gave this product a rating of ten out of ten.
Tiberiu Arghir
Unified online and offline journeys have driven predictive lead scoring and real‑time personalization
Reviewed on Aug 03, 2026
Review provided by PeerSpot
What is our primary use case?
SAS Customer Intelligence 360 was deployed to merge anonymous web and app behavior with legacy offline data, including physical branch visits, call center logs, and transactional history into a unified profile. Custom machine learning models were used to score propensity and churn risk, as well as to calculate real-time best next action recommendations. Multichannel attribution for campaigns and various optimized decisions measured multi-touchpoint interactions across different paths for both digital and physical touchpoints to attribute the real conversion value to the leads.
What is most valuable?
SAS Customer Intelligence 360 unified offline branch interactions with digital portal activity and campaigns that were delivered. It facilitated seamless real-time personalization across all customer touchpoints. Enhanced predictive lead scoring models evaluated incoming prospects through dynamic mechanisms, driving approximately a 35% increase in qualified sales leads.
The mechanism of creating different pathways and multi-touchpoint interactions from digital to physical locations, combined with the ability to create decisions and workflows, significantly improved our campaigns overall. Creating automated workflows with SAS Customer Intelligence 360 helped us identify where user drop-offs and bottlenecks occur throughout the customer journey, assigning attribution values to each touchpoint for better financial impact assessment of delivered digital campaigns.
What needs improvement?
SAS Customer Intelligence 360's initial implementation requires heavy involvement from enterprise data engineers, developers, and data scientists specialized in SAS platform administration, which is an area that needs improvement for a smoother initial setup process. SAS Customer Intelligence 360's user interface could benefit from changes, such as rearranging tabs and mechanics, to allow for more task feasibility by digital professionals, not just data engineers.
Although stable and efficient, the complexity of deployment and governance configuration posed challenges, suggesting a need for more support and simpler deployment processes. SAS Customer Intelligence 360's pricing is higher due to the enterprise scheme offered, but the approval process was straightforward with helpful account manager support.
For how long have I used the solution?
I have been using SAS Customer Intelligence 360 for over three years.
What do I think about the stability of the solution?
SAS Customer Intelligence 360 is very stable. I did not have any issues with downtime for the servers and the platform.
What do I think about the scalability of the solution?
Scalability in terms of implementing SAS Customer Intelligence 360 in other departments and handling increased data and users across the organization has worked well for us. The operational department is analyzing and considering whether SAS Customer Intelligence 360 is suitable for their needs, particularly aiming to leverage AI capabilities and reduce team size through automation.
How are customer service and support?
SAS Customer Intelligence 360's customer support was excellent. I received the best possible assistance, and the knowledge shared continues to be valuable. The team provided comprehensive documentation and processes helpful for building strategies that boost sales and digital lead generation. I would rate the customer support a ten because there was nothing negative to address.
Which solution did I use previously and why did I switch?
I did not use a previous solution, but I needed a platform intelligence solution capable of improving our processes and offering predictive decisions suited for our complex enterprise environment.
How was the initial setup?
SAS Customer Intelligence 360's platform administration, identity graph mapping, and initial architecture setup are complex, requiring a high level of involvement from enterprise data engineers, developers, and data scientists specialized in SAS platform administration.
What about the implementation team?
Implementation required involvement from enterprise data engineers, developers, and data scientists specializing in SAS platform administration. The team from the company was very professional and supportive throughout the process.
What was our ROI?
I have seen a return on investment with a 1% uplift in repeat purchases regarding credit cards or other financial products. I also moved one person from marketing to operations since automation reduced the need for certain tasks, achieving significant budgeting success.
What's my experience with pricing, setup cost, and licensing?
SAS Customer Intelligence 360's pricing is positioned on the higher side because of the enterprise scheme offered. However, the cost approval process was smooth, assisted by the account manager's support, and licensing was straightforward.
Which other solutions did I evaluate?
I evaluated other options from vendors, including Oracle, that offered intelligence solutions, alongside other competitors. SAS Customer Intelligence 360 emerged as the best solution for my needs.
What other advice do I have?
My first advice for others considering SAS Customer Intelligence 360 is to arrange a meeting and demo, clearly communicating your needs and use cases to understand SAS Customer Intelligence 360's complex environment better. Reviewing the documentation beforehand is also recommended to grasp the requirements for implementing such an extensive solution. I would rate this product overall a nine.
Raismar A.
Effective Segmentation and Campaign Sending, but Complex Platform
Reviewed on Jul 22, 2026
Review provided by G2
What do you like best about the product?
I like how effective SAS Customer Intelligence 360 is at sending out communications. I also enjoy the segmentations that can be created, as you can take segmentations from the orchestrator and improve them according to the profile needed for each customer. Additionally, I appreciate that campaigns can be scheduled to reach each one, including effective segmentations with exclusions.
What do you dislike about the product?
The platform is cumbersome when you want to perform quick actions. Sometimes it's difficult to understand if the setup has already been completed or not, especially when you have to perform a task, then do segmentation, and other things. I would like there to be different colors to differentiate when a campaign is being sent, like a "Send, send". The initial setup was also a bit difficult, like intermediate.
What problems is the product solving and how is that benefiting you?
I use SAS Customer Intelligence 360 for marketing campaigns and customer segmentation. Solve problems in the programming and sending of campaigns. I like how effective it is in the deliveries and the segmentations I can create. However, the platform is cumbersome for quick actions.
Internet
Unified Customer Data and Real-Time Insights Power Personalized Marketing
Reviewed on Jul 22, 2026
Review provided by G2
What do you like best about the product?
It stands out for its ability to unify customer data and deliver personalized, data-driven marketing across multiple channels. The platform offers powerful analytics, real-time customer insights, and journey orchestration, which makes it easier to create targeted campaigns and improve customer engagement.
What do you dislike about the product?
It offers extensive capabilities, but there’s a learning curve for new users due to its wide range of features. Some reporting and campaign setup workflows could be more intuitive, and certain advanced customizations require technical expertise.
What problems is the product solving and how is that benefiting you?
It helps us centralize customer data, automate personalized marketing campaigns, and gain deeper insights into customer behavior. As a result, our campaign targeting has improved, engagement has increased, and we can make faster, data-driven decisions.
Michal K.
Powerful Platform for Real-Time Customer Engagement
Reviewed on Jul 16, 2026
Review provided by G2
What do you like best about the product?
I like how it combines advanced analytics with omnichannel marketing, allowing businesses to deliver personalized customer experiences using real-time insights.
What do you dislike about the product?
While the platform is powerful, it can be complicated to learn, and some workflows take more clicks than I would expect. Better usability would make it even stronger overall. The user experience also feels inconsistent across modules: similar features often behave differently depending on where you are in the platform. That inconsistency makes it less intuitive to use and adds to the learning curve.
What problems is the product solving and how is that benefiting you?
We use SAS Customer Intelligence 360 to build real-time customer journeys and manage banners in our mobile banking app. It helps us deliver more personalized customer experiences while keeping journey orchestration and content management in one platform, making campaigns easier to manage and maintain.