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.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Google