Blog

mParticle Product

Introducing the new Certified Solutions Partner Program (beta)

Today, mParticle is excited to announce the beta launch of our new Certified Solutions Partner Program and portal, where partners can access certification tracks and educational materials, create co-branded sales and marketing collateral, refer opportunities, and request co-marketing activities, as well as earn and redeem Partner Growth Funds.

Engineering

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.

Growth

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.

Company

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.

Growth

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.

Growth

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.

Engineering

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

Engineering

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.

mParticle Product

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.

mParticle Product

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.

mParticle Product

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.

Growth

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.

Engineering

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.

Engineering

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.

Growth

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.

Engineering

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.

Engineering

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?

Engineering

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.

Growth

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.

Engineering

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.

Engineering

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.

Growth

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.

Growth

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.

Engineering

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.

Growth

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.

Growth

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.

Growth

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.

Engineering

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.

Growth

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.

Engineering

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.

mParticle Product

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.

Growth

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.