Evergage has unveiled two machine-learning capabilities designed to help firms analyze their personalization efforts, the firm announced on Wednesday.
Evergage Decisions is an
AI-driven service that enables B2B and B2C brands to serve relevantcontent, including promotions, messages and images, to web visitors and email recipients, the company says.
The
other service, Contextual Bandit is an algorithm that facilitates the sending of relevant offers.
According to Evergage, Contextual Bandit estimates the probability of a person interacting
with an offer or experience on a given channel. Machine learning predicts content that will deliver the highest return, it adds.
The firm continues that Contextual Bandid offers
individualized personalization, unlike A/B testing that determines the best offer for all visitors.
The goal is to “what’s most helpful to the customer with what’s best
for the business,” states Karl Wirth, Evergage CEO and co-founder.
In addition, Evergage has introduced the Evergage Data Science Workbench, a tool that provides data scientists within
companies to access data on Evergage server. This data is contained in the unified customer profiles made up of behavioral data, contextual data, survey response and other first- and third-party
information.
Data scientists can pull live data and cache it into their workbench, Evergage says. They can also use tools such a Spark, Python and R to examine the data, it adds.