Blog

2020 Predictions: Customer data management practices

When it comes to customer data, much has changed in the past decade. With 2020 quickly approaching, learn about the predictions that will set the stage for the coming decade and what you should do to future-proof your business.

Omnichannel personalization with Profile API

mParticle's Profile API allows you to leverage comprehensive, omnichannel user profiles to create unique customer experiences for your users, anywhere you can make an HTTPS request.

LTR 19: Conference recap

Your review on the key announcements and discussions from Braze's LTR 2019.

Money20/20: Innovation, AI, and data management

A recap of the need-to-know themes from Money20/20’s annual gathering of FinTech experts.

When identity resolution goes wrong

mParticle CEO and Co-founder, Michael Katz, discusses why identity resolution is so critical for brands today, where mistakes can be made, and how mParticle can help.

Mobile Growth Summit Berlin 2019 Recap

EMEA Sales Director Henry Church shares a recap of the key themes discussed at this year’s Mobile Growth Summit Berlin.

Amplify 19: Conference Recap

Your digest on the themes and announcements from Amplitude's annual product conference.

Opticon 19: Out-experiment. Outperform.

A recap of the need-to-know themes and product updates from Optimizely's annual conference.

DMEXCO 2019: Identity, Customer Experience, and the rise of the CDP

VP Sales EMEA Tim Norris shares the key themes of DMEXCO 2019.

Mayur Gupta on marketing as a growth engine

At Acceleration 2019, Freshly CMO Mayur Gupta discussed how brands can thrive in a consumer-driven world by re-positioning marketing as a growth engine, one that is adaptable and in sync with the preferences and needs of consumers.

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.

Customer Data Platform use cases: Travel

Travel companies need a customer data layer as flexible and agile as their services. This blog will cover common use cases to determine which CDP features are relevant and find the CDP that will help you meet current and future business needs.

The new consumer marketing

How a new generation of direct-to-consumer brands is reimagining relationship management and transforming the marketing world.

How to plan your integrated data layer

Learn how to develop an integrated data layer that aligns with your business and techical goals and provides you with a centralized source of clean customer data.

Three Ways to leverage in-store QR codes

Retailers need to create cohesive experiences, but moving traditional offline customers to digital products can be challenging. Learn how you can use QR codes in-store to move customers online and close the data loop.

The essential Customer Data Platform reading list

Industry experts from a variety of publications discuss the who’s, why's, what’s, and how’s of martech’s hottest new technology: the customer data platform (CDP).

The Customer Data Platform vendor landscape

The customer data platform vendor landscape is confusing, but can be segmented along three dimensions: business model, data sources, and customer type. This post explains each one, so you can separate signal from noise and identify the right CDP for your business.

Improve product experience with unified data

Harnessing data from multiple sources, Via’s growth team reduced rider wait time and created a brand fueled by customer satisfaction.

CDP vs. DMP: What’s the difference and which one should you use?

Create a dynamic martech stack capable of collecting, transforming, and activating customer data by using a Customer Data Platform to augment your Data Management Platform. Learn how you can leverage these technologies to help you turn your customer data into a growth asset.

Real-time, contextual marketing, across every channel

Overstock built a modern, best-of-breed marketing stack—with the customer at the center.

Customer Success Story: Jet

Learn how Jet.com uses mParticle to unify data from mobile and web to create seamless customer experiences.