AI and Data Privacy: How to ensure your AI programs are safe, responsible, and effective
AI has the potential to transform marketers' business impact. But if you don't have a compliant data foundation, leveraging ML predictions for personalization can lead to breaches of customer trust. This blog post provides guidance on how you can use data and AI to strengthen customer relationships, and not disrupt them.
Evaluating an Enterprise CDP? Consider these five critical requirements.
When it comes to comparing different CDP vendors, there are specific requirements that enterprise brands should consider carefully. By ensuring that your CDP partner delivers on these fronts, you can maximize the ROI of your CDP investment as your business continues to grow.
What is a UUID?
The challenge of identifying data shared between systems dates back to the advent of networked computing. One of the earliest solutions to this problem, the Universally Unique Identifier (UUID), is still in wide use today. Here, we’ll explore this ever-present data identifier in detail.
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.
Celebrating one year of Tech for Black Founders
This Juneteenth marks the one-year anniversary of Tech for Black Founders. We wanted to take this opportunity to highlight what the program has helped Black-led companies achieve thus far and celebrate the program's mission for the future.
Probabilistic vs deterministic: Which method should you be using for identity resolution?
The way in which you build your customer profiles can have big consequences on marketing strategy, data privacy, and customer relationships. Learn about the difference between probabilistic and deterministic identity models and how to determine which method you should be using.
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.
How we improved our core web vitals by migrating to Gatsby
By migrating the architecture of this website to Gatsby, we were able to double key core web vitals, increase our accessibility rating by 50%, and boost our SEO scores from 80 to 100
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.
Personalize Support with mParticle and Zendesk
You wouldn’t expect your Marketing or Product teams to function without data. Show your support team some love and help them provide personalized service, using the same data points you’re already collecting.
Smartype Custom Receivers
mParticle’s Smartype is an open-source tool that delivers data quality benefits to any engineering team, whether or not you’re working with an mParticle Data Plan. Here, we’ll review how to automatically generate typesafe libraries with Smartype, and learn how Smartype can send user events to any third-party database or library.
Get ready for Apple’s App Tracking Transparency Framework
This week’s release of iOS 14.5 marks the beginning of enforcement of Apple’s App Tracking Transparency (ATT) Framework, announced last year. The ATT brings significant changes to the way iOS apps handle privacy and user tracking transparency. mParticle is continuing to roll out updates to help customers adhere to the new framework, as well as tools you can use to build a future-proof data strategy based on first-party customer data infrastructure.
How to set up your Customer Data Platform team
In part two of our two-part series on making the most of your Customer Data Platform, we discuss how you can set up a cross-functional team of 'customer data excellence' to operate your CDP.
What is data engineering?
The quantity and complexity of the data that companies deal with is constantly increasing. While Data Scientists analyze and generate actionable insights from data, they cannot do this effectively with data that suffers from poor quality. Data Engineering roles exist in companies to build data pipelines, transform data into useful formats and structures, and ensure quality and completeness in data sets.
Python and SQL: Complementary tools for complex challenges in data science
While Data Scientists today have an ever-expanding list of toolkits, languages, libraries and platforms at their disposal, two mainstays––Python and SQL––are likely to remain staples of data analysis for years to come. Here, we’ll look at the role these languages play in the rapidly evolving field of Data Science.
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.
The value of a universal customer ID across your tech stack
Teams across industries are striving to create a 360-degree customer view. But if that view isn't seamlessly integrated with the tools and systems throughout the tech stack in real time, growth teams aren't able to use it to drive results. Learn more about how you can implement a universal ID and make it available across the stack.
Relational vs. Non-Relational Databases
What are the key differences between these two main categories of databases, and how do you select the right type of database for different use cases?
Data enrichment and machine learning: Maximizing the value of your data insights
Data enrichment and machine learning are two techniques that can enhance the ability of your customer data to drive personalized experiences. While there is some overlap in the end goal of both approaches to enhancing data value, there are significant differences in the time, resources, and overhead they each require.
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.
How to stop endless data shipping cycles
Engineers should ship products, not data. Product managers and marketers should experiment with data, increase personalization, and improve experiences. With a permanent data infrastructure, these goals are not mutually exclusive.
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.
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.
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.
Track User Events in Single-Page Applications
Owing to their fast load times and smooth user experiences, Single-Page Applications (SPAs) are now an extremely popular design pattern for developing websites. While building your site as an SPA offers clear advantages for your customers, it places challenges in the way of collecting robust analytics on user behavior.
What is a Customer Data Platform?
Learn more about what a Customer Data Platform (CDP) is and how you can make sense of the rapidly evolving Customer Data Platform market.
Avoiding the growth trap
What do cattle farmers from the 1600s have in common with teams across modern companies? Both rely on shared resources that can quickly be depleted by an overzealous desire for growth, leading to the tragedy of the commons. Learn how you can avoid the growth trap by leveraging your customer data infrastructure and saving your engineering resources from depletion. Stop the vicious cycle, not the development cycle.
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.
APIs vs. Webhooks: What’s the difference?
An API (Application Programming Interface) enables two-way communication between software applications driven by requests. A webhook is a lightweight API that powers one-way data sharing triggered by events. Together, they enable applications to share data and functionality, and turn the web into something greater than the sum of its parts.
Modernize your audience segmentation strategy
Audience segmentation is key to delivering contextual experiences at scale. Learn more about how you can modernize your audience segmentation strategy and deliver experiences at the pace of your customers.
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.
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.
Customer acquisition and retention: Which should you focus on?
Learn more about what the most effective acquisition and retention tactics are today, how you can measure your efforts, and where your time and dollars are best allocated given current 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.