Credit Company Case Study July 28, 2022 A leading credit company needed to integrate user data across several channels. FirstHive details how their CDP solved the problem and helped increase lead acquisition.
An overview of mParticle January 10, 2022 Learn what mParticle is and how it can help your team simplify your customer data infrastructure today!
Scaling ABM with AI and Data August 30, 2021 Steven Shapiro, VP Digital, Customer Journey describes how Informatica transformed its ABM programs by using Lattice Engines’ AI-platform and data foundation.
Zeta CDP Overview August 1, 2021 The Zeta CDP provides marketers with deep customer understanding and integrated analytics to help you create more opportunities. Read on to learn more.
Expanding the Account Universe July 12, 2021 Rebecca Stone, VP Demand Generation tells how LiveRamp used Lattice Engines to expand their account universe and run integrated, targeted campaigns against their top accounts.
Breaking Down Data Silos to Build a Better Customer Experience July 5, 2021 Join Bruno Miranda, VP of Engineering at Doximity, and Drake McCabe, Web Developer at Yesware, to learn how to get data into your data warehouse and use it to deliver outstanding customer experiences.
Keynote: Adapting to Consumer 3.0 April 13, 2021 Jackson Jeyanayagam, Chief Marketing Officer, Boxed. com discusses how his brand understands and communicates with its clients, and how treating employees well can actually be a brand-building strategy.
Keynote: Innately Intelligent Marketing – From Concept to Reality April 13, 2021 Pini Yakuel, CEO and Founder of Optimove, discusses the past year, the current state of affairs, and looks into the future, taking innately intelligent marketing from concept to reality.
Creating a Data Foundation to Drive Sales and Marketing Alignment April 13, 2021 Scott Leslie, Sr. Manager, Enterprise Marketing Automation shows Adobe is using Lattice Engines’ predictive data to prioritize the leads passed from marketing to sales.
Real Time Location-based Personalization April 13, 2021 Select best message in real time based on current customer location and past data. Process: Receive real time stream of visitor locations and IDs from channel system; use location to look up relevant information (e.g. local weather); use ID to find visitor’s profile in the CDP; use location plus profile to infer customer context (e.g. work, home, vacation); apply rules or predictive models to select best message using all data; send to channel system for delivery; track behavior during session and make new adjusted selections.
Trigger Messages April 13, 2021 Send messages to customers based on specified actions or events. Process: Define trigger events; select customers who experience trigger event in real time or near realtime; select best message; send to delivery system.
Real Time Offer Selection April 13, 2021 Select offer for known customers in real time based on their past data. Process: Receive realtime stream of visitor behaviors and IDs from channel system; use ID to find visitor’s profile in the CDP; apply rules or predictive models to select best offer using profile data; send to channel system for delivery; track behavior during session and make adjusted selections.