CDP use case guide
A customer data platform is only as valuable as the business use cases it supports. Learn how to ground your vendor selection and roadmap in canonical use cases to avoid disappointment and accelerate success.
Customer Data Platform use cases: Auto
This blog covers common use cases to help you determine which CDP features would most benefit your organization's business needs.
Customer Data Platform 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: 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 use cases: Retail
Retailers need a customer data layer able to deliver precise personalized engagements that don't break the marketing budget. 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: This time it’s personal
In today’s connected era, people expect brands to deliver contextual experiences, the moment they need them.
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.
3 Ways retailers can 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 CDP 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.
4 Ways a CDP can help customers embrace the GDPR
The GDPR is finally here. Learn how mParticle helps our customers not only support GDPR compliance but embrace it.
How to avoid the SDK tax
SDKs have made it simpler for companies to connect their customer data across analytics, marketing, and BI tools, but it often comes at the price of increased dependencies and can affect end-user experience. Learn how using a single-point API can save you from this fate.
The retailer's guide to winning in the mobile moment
Identify and design mobile experiences that will supercharge your digital and physical commerce revenues
4 Key mobile metrics: Become your team’s mobile hero
Track more mobile metrics to find out what makes a difference in user behavior. In this post, we’ll go over what metrics your team really needs to watch.
mParticle Data filters allow brands to control, at a very granular level, what type of data is sent to which service without engineering resources.
The real reason mobile DMPs don’t make sense
Omnichannel marketers & publishers need an omnichannel solution.
Control how your first-party app data is distributed to analytics, attribution, automation, and crash reporting services with the new Mappings feature.
Third-party segment insight with mParticle
Create more robust customer profiles by enriching them with third-party data to activate features like lookalike audiences, geolocation, and more.
App development: Planning for the long term
Long-term thinking is valuable when trying to meet any goal, and app development is no exception. However, long-term can be as short as a few weeks.
Location services best practices
Many mobile apps can greatly improve their users’ experience by making use of information on users’ whereabouts. A hotel app…
Choosing the right SDK for your mobile app
With the array of mobile app services for analytics, attribution, marketing automation, and so on, it can be difficult to choose the right SDK for your mobile app.