The DTS scores can provide critical identity intelligence for numerous purposes, including: CRM Segmentation, Website / Mobile Application Personalization, and Search Campaigns.
Personalized Messaging
An organization is interested in personalizing messages to their existing customer base with the intention of improving engagement and conversion with the most viable customers or conversely omitting messaging from less valuable and irrelevant customers. DTS signals based on travel, real estate, and financial datasets can provide the data intelligence necessary to allow for effective personalization.
Example use cases:
Propensity Modeling
An organization deploys a predictive analytics model across their CRM to identify users based on different goals. Models can be used for identifying users who are likely to respond to specific marketing messages or sales outreach. Additionally modeling can be used to estimate customer lifetime value or identify fraudulent actors.
Possible use cases include:
Website and mobile application personalization can also benefit enormously from use of Dynamic Signals. An organization can ingest DTS from ADARA's scoring API and use that information within their personalization engine such as Adobe Target to tailor content based on the scores that we share about that user.