Blog

The rise of big data in retail

The use of big data in Retail and eCommerce has opened up new possibilities for data-driven experiences, but few are leveraging engagement data to its full potential. Learn about the three fundamental data challenges retailers are racing to solve, their impact, and leading experts’ insight into the subject.

Improve products with AI and Machine Learning

Traditional digital marketing can’t keep up with machine learning and AI marketing solutions. Learn exactly how these powerful point-and-click tools work and how they can help your team experiment at scale.

Consumer finance data management with a CDP

Leading consumer finance brands know that they need to deliver the best experiences to customers wherever they are, be it in-branch, on the web, or on mobile. Learn how Venmo, Quicken Loans, Paga, Stocktwits, and Abra leverage the mParticle platform as their consumer finance data management foundation.

Real-time marketing for modern brands

Customers expect seamless, personalized engagements from brands across every touch point, in real time, every time. Can your martech stack deliver?

The DMP conundrum

What happens when you KonMari your martech stack?

New customer data platform research sets the record straight

Of the many companies calling themselves CDPs, fewer than 1 in 5 actually are one, says a new Winterberry Group report. Learn why.

How to embed trust in the customer journey

In a world where delivering an innovative customer experience is everything, a win at all costs mentality can lead to mistakes that destroy your brand forever.

The rise of mobile banking strategy

Consumer finance is changing as more customers look to mobile apps to make everyday purchases. While 2018 was a big year for the evolution of consumer finance, 2019 looks to be even bigger for mobile banking strategy. Learn what leaders from Luno, Wagestream, and Paga foresee for consumer finance in 2019.

CDP use cases: Retail Banking

Retail banks need a customer data layer to meet customers' expectation for fast, flexible, personalized services. This blog covers common use cases to help you find the CDP that will help you meet current and future business needs.

Customer Data Platform Use Cases Guide: Media

Customers expect media brands to create seamless, contextual, and concurrent experiences across every device, which cannot be achieved with legacy systems unable to collect and activate data from every channel. Use these common use cases to help you determine which CDP features are relevant and find the CDP that will help them meet current and future business needs.

Customer Data Platform use cases: QSR

Meeting the QSR customer's expectation of fast, convenient, and tailored services requires a customer data layer able to collect and activate the right kind of customer data to drive initiatives and improvements. Read about the common CDP use cases QSRs are using to help you find the CDP that will help you meet current and future business needs.

Customer Data Platform Retail use cases

Retailers need a customer data layer able to deliver precise personalized engagements that don't break the marketing budget. This blog will cover common customer data platform retail use cases to determine which features are relevant and find the CDP that will help you meet current and future business needs.