Blueshift is fast growing AI powered Customer Data Platform that unifies, transforms, and redistributes data from a marketing systems to enrich customer and account profiles and inform the decisions, priorities and actions of marketing, customer experience and revenue teams and last mile applications in real time.

LISTEN TO CEO VIJAY CHITTOOR DISCUSS HOW BLUESHIFT IS USING AI TO UNIFY AND REDISTRIBUTE MARKETING AND CUSTOMER EXPERIENCE DATA TO POWER ACTIONS IN MANY CHANNELS, APPS AND TOUCHPOINTS

HOW BLUESHIFT SUPPORTS THE 21st CENTURY COMMERCIAL MODEL

Blueshift is accelerating the transformation of the commercial model by using advanced analytics and AI to help growth leaders to integrate and share marketing and customer experience data from many platforms with marketing, customer experience and revenue teams to arm them with insights they need to have relevant, timely conversations with their leads, contacts, and customers.

Specifically, Blueshift is reimagining the ways organizations can:

Deliver real time data updates and customer insights to marketing and customer experience teams – Analytics remains underleveraged. Revenue teams cannot get the access to data and insights they need and only a third (33%) of sales reps are using analytics to prioritize and qualify leads. Customer Data Platform like Blueshift make this are automating the integration and delivery of third-party intent, behavior, and event trigger data to deliver buying signals to front line sales teams. Customer data platforms like Blueshift integrate and share behavioral and trigger data from digital marketing platforms with sales and marketing teams.

Leveraging advanced analytics to connect growth assets to value – Sales leaders are increasingly looking to Customer Data Platforms like Blueshift that can convert data into information, and information into value by orchestrating data from across channels and making it available to sales, marketing, and service reps in real time. Businesses are deploying these solutions in ways that integrate with, augment, and in some cases bypass legacy CRM systems to combine and monetize customer engagement and seller activity data.

Enable 1:1 marketing at scale – by making it easier to ingest and unify marketing, first party, third party, and customer engagement data to provide real time intelligence to power actions and decisions made by marketing, customer experience and selling teams and last mile applications.