19 Marketing Technologists to Watch in 2019
The 19 marketing technologists that are making an impact today and paving the path for the innovation of tomorrow.
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.
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.
How to plan and instrument your customer data layer
Learn how to develop and implement a data layer instrumentation plan that aligns with your business and techical goals and provides you with a centralized source of clean customer data to power product and marketing initiatives.
Best practices for deploying a mobile messaging platform
How to implement a mobile marketing automation platform...the right way
Validity: The fifth V of Big Data
The Four V's of Big Data have been an industry standard since their introduction, but the increasing concerns about privacy recently have led to the need of a fifth V: Validity.
5 Ecommerce attribution tips marketers need in the cross-device era
Ecommerce attribution is one of the trickiest challenges online retailers face. Use these 5 tips to learn how your marketing affects your bottom line.
Plan your digital evolution
The marketing landscape is changing at a lightning pace. To take advantage of the martech boom, you need to plan your digital evolution.
7 lessons marketers can learn from Game of Thrones
David Spitz, CMO of mParticle, shares seven lessons from the seven kingdoms growth marketers can learn from Game of Thrones to take the Iron Throne.
Make audience data actionable with AudienceSync A/B testing
mParticle's A/B Testing capability helps make your audience data more actionable by providing a scalable approach to experimentation.
15 questions to evaluate CDP data preparation capabilities
Marketing technology analyst David Raab explains how customer data platforms can enable data transformations and how to ensure the right fit for your needs.
Why it's time to rethink your customer data strategy
Times are changing, and so should your customer data strategy.
How the CMO of the world’s largest retailer approaches customer data
Chris Tung, CMO of Alibaba Group, describes the core tenets of his company's approach to customer data and how it's transforming consumer experiences.
The 10 commandments of mobile data strategy
We work with top app developers, marketers, and publishers every day. Here are some critical principles we’ve learned in the process.
4 Fundamentals for data-driven marketing
Maslow's hierarchy states that before catering you wants, you must ensure your needs are covered. Learn what your marketing needs are before embarking on your quest for data-driven marketing.
Marketing data as a core asset
Data isn’t what matters, what you do with it is the important part. Conceive of and manage your data properly from the start to get the most out of your marketing data.
Why thinking bigger about data strategy is your only real option
With every passing day the term “Big Data” seems to be going more out of style, but thinking big about data strategy is more important than ever.
Stop your app journey from going off-course
Mapping mobile app data is not a once and done activity, it is a journey. This is true for many aspects of the app. So how can you avoid going off-course?
How to improve data control with SDK consolidation
SDK consolidation can make all of the difference for companies looking to improve their data consistency and decrease technical debt.
How Overstock uses machine learning to drive one-to-one engagement
Learn how Overstock implemented sustainable, scalable technical systems to create seamless customer experiences and drive one-to-one engagement.