Category

Data strategy

Prevent data quality issues with these six habits of highly effective data

Maintaining data quality across an organization can feel like a daunting task, especially when your data comes from a myriad of devices and sources. While there is no one magic solution, adopting these six habits will put your organization on the path to consistently reaping the benefits of high quality data.

Sean Ryan – December 15, 2021
bd-my-shopi

How BD myShopi improved personalization while protecting consumer data privacy

BD myShopi connects consumers with exclusive deals from Europe's leading retailers. Learn how they leverage mParticle to present consumers with relevant offers while also supporting data privacy.

3 Tips on Growing a Startup from Nick Warner at Route

The future of every business is dependent on improving the customer experience. The first step to improving that experience is to know your customer. We spoke to one of the rising stars in growth hacking to learn his strategy.

Adam Dorsey

What does good data validation look like?

Data engineers should add data validation processes in various stages throughout ETL pipelines to ensure that data remains accurate and consistent throughout its lifecycle. This article outlines strategies and best practices for doing this effectively.

November 11, 2021
reverb-data-workflows

How Reverb’s engineers optimized their data workflows at scale and gave users the rockstar treatment

With mParticle at the heart of their data stack, engineers at the world’s largest online music marketplace said goodbye to burdensome ETL pipelines, slashed their data maintenance workload, and unlocked new opportunities to build data-driven features into their product.

Sean Ryan

How to assemble a cross-functional data quality team

Smash your data silos and improve data quality across your organization by assembling a cross-functional team to own data planning.

Sean Ryan – October 20, 2021
improve-data-quality

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.

Joey Colvin – September 28, 2021
first-party-data-strategy

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.

Joey Colvin – July 19, 2021
customer-data-platform-tracking-plan

6 tips for building a Customer Data Platform tracking plan

The value of your Customer Data Platform depends on the quality of data that you get into it. Here are six implementation tips you can follow to set yourself up for success.

Glenn Vanderlinden – June 29, 2021

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.

Brooke Grief – June 10, 2021

How to leverage user data to improve customer service

Great customer service is an important driver of retention. Learn how you can connect user data to your support system in order to provide a better support experience and prevent churn.

Joey Colvin – May 19, 2021

What is Gatsby?

Gatsby is an open-source framework that combines functionality from React, GraphQL and Webpack into a single tool for building static websites and apps. Owing to the fast performance of the sites it powers, impressive out-of-the-box features like code splitting, and friendly developer experience, Gatsby is fast becoming a staple of modern web development.

May 11, 2021
building audience segments

Where should you be building your audience segments?

Every tool seems to offer segmentation capabilities these days. Disconnected audiences builders, however, can lead to overreliance on developer support and disjointed customer experiences. Learn more about data infrastructure and when it helps to centralize your audience segmentation.

Joey Colvin – March 29, 2021
build your own walled garden

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.

Michael Katz – March 19, 2021

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.

Joey Colvin – February 19, 2021

Capture page navigation events in a React Application

In a single-page application, understanding which pages your customers visit and the journeys they take through your website can be challenging. Here, we’ll look at a scalable and maintainable strategy for tracking page navigation events in a React application.

Sean Ryan – February 08, 2021

How to support your behavioral marketing strategy with a Customer Data Platform

Behavioral marketing has become a core competency for growth teams today. Shifts in privacy legislation and customer preferences, however, have changed the way in which teams must design contextual experiences. Learn more about how you can use a Customer Data Platform to support your behavioral marketing strategy.

Joey Colvin – February 08, 2021

Data-informed Decision Making: What does it mean, and should you be doing it?

Like data-driven decision making, being data-informed entails relying heavily on raw, measurable information to guide an organization’s direction. Data-informed strategies leave more room for opinions and past experiences, however, and recognize the limitations of using data alone to make every decision.

Sean Ryan – February 02, 2021

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.

Joey Colvin – January 28, 2021
real-time-data-processing

Why real-time data processing matters

Business-critical systems shouldn't depend on slow data pipelines. Learn more about real-time data processing and how implementing it strategically can increase efficiency and accelerate growth.

Joey Colvin – January 08, 2021

What is data orchestration

Data orchestration is an automated process in which a software solution combines, cleanses, and organizes data from multiple sources, then directs it to downstream services where various internal teams can put it to use. The purpose of data orchestration is to help a company make its data as useful and versatile as possible.

Sean Ryan – December 15, 2020
cdp machine learning

How to harness the power of a CDP for machine learning: Part 3

Learn how you can activate machine learning insights across analytics and customer engagement platforms in part three of this three-part series.

Kale Bogdanovs – December 16, 2020
cdp machine learning

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.

Kale Bogdanovs – December 16, 2020
cdp machine learning

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.

Kale Bogdanovs – December 16, 2020

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.

What is first-party data?

First-party data is the most powerful and reliable type of customer information, and it can give your organization many distinct advantages. Learn how to distinguish between different categories of customer data, and the ways you can leverage your company’s first-party data from multiple channels.

Sean Ryan – December 07, 2020
single-customer-view-cdi

A single customer view is not the goal (it's the result)

Companies have long tried to establish a single customer view, but few have been able to put a solution into place that addresses the cross-functional needs of stakeholders. The problem is that a single customer view is often seen as the goal of processes, rather than the result. Learn how to create a single view of the customer by enforcing an organization-wide commitment to data quality and collaboration catalyzed by a sound data design process.

Michael Katz – November 03, 2020
customer data for ai

Meet your marketing goals with customer data

Your marketing campaigns will only be as effective as the customer data that you use to power them, especially if leveraging AI/ML. Check out these tips and tricks to get your customer data in the best shape possible and begin accelerating your marketing strategy.

Megan Warhurst – August 12, 2020
high growth data strategy

3 data strategies for high-growth companies

As an mParticle CSM, it’s my job to help brands develop and implement a customer data strategy to drive growth. Here’s what I’ve seen work across industries and organizations.

Abhi Seeth
covid-19-business-continuity-b2c

COVID-19: Best practices and strategies for maintaining business continuity

With increasing calls to promote social distancing by enabling remote work, many companies find themselves at a loss when they consider how they will ensure that the quality and access to their data remains unchanged during this period of uncertainty. Maintaining business continuity during COVID-19—and any future global events—requires brands to invest in both process and infrastructure that can democratize data and access when the majority of the workforce is remote.

Abril McCloud – March 13, 2020
2020-predictions-customer-data

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.

Abril McCloud – December 18, 2019

LTR 19: Conference recap

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

Joey Colvin – November 12, 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.

Alexandra Maguire – November 05, 2019

Amplify 19: Conference Recap

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

Joey Colvin – October 15, 2019

Opticon 19: Out-experiment. Outperform.

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

Joey Colvin – September 30, 2019
big data in retail

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.

Alex Kesaris – June 10, 2019
AI machine learning

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.

Abril McCloud – June 06, 2019
dmp strategy

The DMP conundrum

What happens when you KonMari your martech stack?

Joey Colvin – May 03, 2019
Marketing technologists

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.

March 29, 2019

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.

Abril McCloud – October 12, 2018
customer data infrastructure use cases: Retail banking

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.

Abril McCloud – September 26, 2018
Customer Data Platform Use Cases: Media

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.

Abril McCloud – September 26, 2018
Customer Data Platform Use Cases: QSR

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.

Abril McCloud – September 25, 2018
Customer Data Platform Retail

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.

Abril McCloud – September 20, 2018
cdp travel

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.

Abril McCloud – September 18, 2018
integrated data layer

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.

Andy Wong – August 28, 2018
Best practices for deploying a mobile messaging platform

How to assemble a best in class tech stack

How to implement a best in class stack...the right way

Al Harnisch – June 06, 2018
Why it's time to rethink your customer data strategy

Why it's time to rethink your customer data strategy

Times are changing, and so should your customer data strategy.

David Spitz – July 20, 2017
The fifth pillar of big data

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.

Tim Norris – May 16, 2018
user experience testing

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.

Abril McCloud

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.

David Spitz – February 23, 2017
Customer data strategy fundamentals: Business strategy and discovery

Customer data strategy fundamentals: Business strategy and discovery

Jillian Burnett – August 16, 2017
15 questions to evaluate CDP data preparation capabilities

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.

David Raab – September 26, 2017
machine learning personalization

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.

Abril McCloud
marketing attribution

5 marketing attribution tips for eCommerce

Marketing attribution is one of the trickiest challenges online retailers face. Use these 5 tips to learn how your marketing affects your bottom line.

Abril McCloud – January 19, 2018
To take advantage of the martech boom, you need to plan your digital evolution

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.

Anthony Westmoreland – December 05, 2017
7 lessons marketers can learn from Game of Thrones

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.

David Spitz – November 02, 2017
Make audience data actionable with AudienceSync A/B testing with mParticle

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.

Tricia Prashad – October 19, 2017

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.

David Spitz – July 06, 2017

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.

Dave Myers – May 30, 2017
mParticle and Venmo Case Study Hero Background

How Venmo increased user engagement by 30%

Tricia Prashad

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.

Michael Katz – August 26, 2016

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.

Michael Katz – August 26, 2016

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?

Paul Mander – June 15, 2016

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.

Michael Katz – May 27, 2015