Improve data quality with mParticle’s data planning infrastructure
Data planning is the foundation of any mature data strategy. But without the ability to translate a data plan into views conducive to each team's needs, it's hard to turn planning into action. Learn how mParticle's data planning infrastructure can help you get more out of your data plan.
How to build your first-party data strategy
The demise of third-party tracking presents brands with the opportunity to invest in modern data infrastructure and build trust with their customers. Learn how you can transform your data supply chain by developing a first-party data strategy.
Using first- and zero-party data to drive LTV growth
First- and zero-party data collection is becoming increasingly important as brands shift away from relying on third-party data. Learn how you can use mParticle and Iterable to collect high-quality data and use it to deliver personalized customer experiences.
Build your own walled garden
The data privacy landscape is constantly evolving. For brands to control their destiny, they need to invest in breaking their addiction to third-party cookies and building their own first-party data asset.
How to manage data across your tech stack based on customer consent
Great customer experiences are built on trust. Learn more about the tooling that can help you collect customer consent and manage how data flows between systems based on customer consent.
Why you should replace your analytics tracking code with a Customer Data Platform
Analytics tracking tools have become the standard for collecting user events and understand engagement. But in a rapidly evolving market environment, sometimes "standard" isn't enough. Learn more about how you can upgrade your data pipeline with a Customer Data Platform.
How to harness the power of a CDP for machine learning: Part 2
Get a step-by-step guide to activating ML insights with mParticle and Amazon Personalize in part two of this three-part series.
How to harness a CDP for machine learning: Part 1
Learn how an infrastructural Customer Data Platform can help you overcome common machine learning challenges in part one of this three-part series.
How Airbnb scaled their growth strategy while increasing developer efficiency
Learn how Airbnb uses mParticle as the foundation infrastructure of their data pipeline, enabling them to evolve their growth stack and stay agile during tumultuous market conditions.
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.
Postmates' user experience testing platform
Learn how Postmates uses mParticle to power their user experience testing platform, leading to increased insights, improved customer experience, and better product output.
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.
Overstock's machine learning personalization engine
Learn how Overstock implemented sustainable machine learning personalization systems to create seamless customer experiences and drive one-to-one engagement.