Comprehensive Customer Profiles
Patented visitor stitching technology constructs highly accurate, comprehensive, and actionable customer profiles. Use the data within these profiles to define high or low-value customers, key engagement insights, or milestones to create audiences.
These audiences can be deployed in any integrated system to help you deliver a consistent and relevant customer experience. Or send this data to analytics or business intelligence systems to further analyze customer behavior.
Personalize Every Interaction
Our 1300+ strong integration marketplace lets you connect your email, marketing automation, online advertising, social, customer relationship management (CRM) platforms, and beyond, enabling real-time action within the marketing technologies you already use. This enables a best-of-breed tech stack with the fastest time to value of any approach.
You can trigger actions based on real-time customer data signals and engage with your customers like never before across any channel.
Get a Full Picture of Your Customers
Data is how you understand customers today and AudienceStream enables enterprises to act with a complete and consistent view of the customer.
Collect customer data from any source (web, mobile applications, IoT, servers, kiosks, and offline sources), standardize it, and create persistent customer profiles with custom attributes that continually stitch data together as new devices become known.
Activate High-Quality Machine Learning Insights
With a high volume of high quality customer data flowing in, the combination of AudienceStream + Tealium Predict ML is ideally positioned to provide insights on all this data prior to orchestrating actions in integrated systems. This means that machine learning insights can be leveraged in any tool in your tech stack, regardless of that tool’s native machine learning capabilities.
Predict high and low value customers, then take appropriate action. Predict high-value customers and provide them a tailored experience to better convert. Or predict low-value customers and suppress them from campaigns to optimize budget.
