mParticle acquires Vidora, AI personalization platform for customer data
Vidora’s Cortex platform enables brands to predict future user behavior, and leverage those insights in their marketing tools to proactively take action.
The great migration: How to navigate the transition from Google Analytics Universal Analytics to GA4
On July 1, 2023, Google will be sunsetting their widely adopted Universal Analytics solution, recommending that users migrate to their new offering, GA4. This article discusses how Universal Analytics and GA4 are different, what the migration means for the industry, and how your team can navigate the transition.
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.
Smartype Generate: Translate any JSON schema into data collection libraries for web, iOS and Android
mParticle’s Smartype is a platform-agnostic tool that can help every engineering team ensure data quality and consistency. Learn how to use Smartype to translate any JSON schema into custom data collection libraries for iOS, Android, and Web platforms.
CDPs vs. Data Lakes: What’s the difference, and can you use both?
CDPs and Data Lakes differ in the insights they surface, the users they serve, and the overall value they deliver. Though when used together, they are a powerful duo that can help your organization leverage historical and real-time customer data to the fullest extent.
COVID's impact on the financial services industry
In times of uncertainty, financial services companies are uniquely placed to enrich people's lives. Learn more about how the coronavirus pandemic has impacted personal banking and how financial services industry leaders are adapting.
CDP vs Data Warehouse: What's the difference?
Data warehouses enable critical insights, and speed of data collection and stability of warehousing are important to their performance. Learn the differences between a CDP vs data warehouse and how you can use both to improve functionality and take action on business intelligence.
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.
Should you build or buy a Customer Data Platform?
Customer Data Platforms are a critical piece of the modern data infrastructure. Learn what it takes to build a Customer Data Platform and how to determine whether building a solution or working with a leading vendor is the right path for your organization.
Introducing Block Data: Diagnose, quarantine, fix, and backfill bad data
Bad data leads to bad decisions, but most teams are unable to address their data quality problems proactively in real time. Today, we are excited to announce Block Data, a new early access feature that helps teams automatically identify and drop unplanned data before it’s forwarded downstream, review and quarantine suspected bad data for investigation, and replay quarantined data once it’s been inspected and modified.
Future-proof your customer data strategy: Get ready for iOS 14 privacy updates
There are significant changes coming to iOS relating to user privacy, tracking transparency, and specifically the use of the iOS advertising identifier (IDFA). Since the announcement, mParticle has been collaborating with some of the largest consumer brands in the world to holistically achieve a balance between adhering to compliance obligations and ethical data collection policies to protect consumer choice, while also delivering personalized and relevant information to people globally.