Get to know ContextLink™
ContextLink's relational context engine brings together the known and unknown to drive the most accurate Micro-Segment for Revenue Assurance
Context engine process
ContextLink™ context engine gives clients the ability to perform queries against very large data sets to identify customers with higher propensity and create personalization at the point of purchase.
ContextLink™ gives clients the ability to build their own library of offers and surveys. Which are then stored in a library where an inference engine determines which offers goes to what customer. The platform then tracks the time series and events to drive results of those offers and surveys.
Creating a context graph for inference-driven marketing
What I want to buy now.
For example: new home, luxury SUV, running shoes
My observed age, gender, ethnicity, and income.
For example: woman, age 35-44, with kids
INTEREST OVER TIME
Things I enjoy throughout my life.
For example: green living, outdoor sports, cooking
My products and categories I prefer.
For example: Revlon, IKEA, Petco
REWARD & LOYALTY REDEMPTIONS
Stores I like and frequent.
For example: Harris Teeter, On the Border, Nordstrom
How likely I am to redeem a coupon for a category or product.
For example: beauty, baby care, pet products
Support or execute consumer centric personalization
Focus on what matters - Your Customers.
Build personalization that drives more transactions and further engagement.
By leveraging ContextLink™, clients are able to gain access to billions of "edges" to perform advanced queries and construct identities around customers with higher fidelity. With every connection of a new brand, loyalty network, affiliate, etc. the graphing engine only gets smarter.
And now, customers of the “connected parties,” can receive personalization at the Point of Sale, to drive products, offers, surveys, and messaging relevant to them.
ContextLink’s environment is physically and logically segregated for different data types and processing keys. PII and non-PII identifiers are stored separately, and each client has a dedicated directory for only their data. We work hard to remain GDPR, CCPA and Privacy Shield compliant.