Omnichannel Identity Graphs connect data to consumers in a privacy-conscious way by establishing brand unique identity resolution rules to create a single view of the customer across channels.
A rapidly expanding universe of channels and technology is flooding the martech/adtech ecosystem with a wide array of known, pseudonymous and anonymous signals that must be reconciled and associated.
Rising global regulations and consumer expectations demand a fundamental focus on Privacy, Data Governance and Ethical Data Use.
Brands are looking to deliver the Right Message for the Right Product to the Right Person at the Right Time in the Right Channel, which requires analytically-backed data-driven strategies.
Converge offline and digital data to form a holistic and single view of the customer.
Leverage 50 years of data and identity expertise to power your omnichannel identity graphs and marketing to power exceptional experiences.
Utilize an “always on” identity resolution process and workflow powering your marketing ecosystem for a more accurate “golden record”.
Leverage industry-established privacy and data governance processes and business rules to resolve identity via ethical data use practices.
Ensure you are effectively identifying and engaging individuals across channels to reduce cost and improve engagement.
The solution synchronizes customer data used across the enterprise by establishing client-specific recognition rules, groups and unique global identifiers across both digital and offline channels in a privacy-by-design manner to enable more effective marketing programs and better customer experiences
High Volume – High-volume core processes for graph build and maintenance of constantly changing consumer data
Multinational – Global solutions support specialized match rules by country and region
Real-Time – Offers “always on” support for real-time, interactive and core batch processing
Broad Use Cases – Leverage accurate identity resolution solutions across targeting, engagement, personalization, risk and measurement use cases
