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.
Connected, by mParticle Episode 9: Hospitality & Tech with Phil Crawford of CKE Restaurants
On this episode of Connected, I sit down with Phil Crawford, Chief Technology Officer of CKE Restaurants to discuss all things customer experience in the Hospitality space.
How to use your customer data to predict customer churn
As the cost of acquiring new customers increases, retaining your existing customer base is becoming more important. This article walks through how you can leverage customer data to predict customer churn risk and prevent churn before it happens.
How Carl’s Jr.® and Hardee's® deliver old school hospitality with new school tools
After partnering with mParticle, the international restaurant brand CKE had the data foundation to completely modernize the digital experience of their brand, and position themselves for a technological transformation that will continue well into the future.
How ivee built a universal source of truth for customer data
Learn how ivee established a cross-functional data planning process and improved customer data quality across their marketing stack with mParticle.
Connected, by mParticle Episode 8: The death of the cookie with Sean Oakley
In this episode we sit down with Sean Oakley of NBCUniversal to discuss the history of online advertising.
What’s the difference between predictive vs. prescriptive analytics?
Understand the difference between predictive analytics and prescriptive analytics and get tips on how you can begin using both types of AI insights to personalize the customer experience.
How to assess your organization's customer data maturity
Successful personalization at scale requires intentional planning around customer data management, process, and tooling. Learn more about customer data maturity, and why it’s important for increasing the ROI of your MarTech stack.
Step-by-step tutorial: Use mParticle to generate predictive insights and maximize marketing ROI
AI-driven insights are powerful catalysts for supercharging your customer data. But all too often, these resources are siloed in data science departments, disconnected from go-to-market teams who possess the skills to maximize their value. This article demonstrates how mParticle can help you leverage intelligent attributes to maximize the impact of your engagement campaigns without engineering support.
Transform customer data into predictive insights with an AI CDP
You don’t need an army of data scientists to generate predictive models from your customer data, or complicated pipelines to translate this intelligence into business value. mParticle is democratizing AI adoption, and turning what was once a pipe dream into a catalyst for your pipeline.
How to use data to deliver a personalized customer experience
Industry reports consistently share the consumers are more engaged when they receive timely, relevant personalized customer experiences. But how do you make sure that personalization is respectful and helpful, and not unwanted or creepy? The answer lies in designing the right data strategy, and working with the right data foundation.
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.
Connected, by mParticle Episode 7: Thinking beyond the stack with Adam Griffiths
In this episode we welcome MarTech expert Adam Griffiths.
What is customer journey management, and how can you get started?
The average customer now needs six touchpoints before they make a purchase. How do you manage that experience so that it feels personalized at scale? In this article we’ll dive deep into customer journey management: what it is, why it’s important, and how to get started.
CDP vs. MDM: What’s the difference and which one should you use?
Although both solutions provide a centralized data foundation, Customer Data Platforms and Master Data Management are not mutually exclusive. This article discusses the differences between CDPs and MDMs, and clarifies when each solution should be used.
CDP vs. CRM: What’s the difference, and is CDP the new CRM?
Customer Data Platforms (CDPs) and Customer Relationship Management (CRM) tools are often confused, as both store customer records that the business can use for insight. Below the surface, however, they're very different solutions. This article breaks down the distinction and explores whether or not CDPs and CRMs can fruitfully coexist in the same technology stack.
How is mParticle different from other Customer Data Platforms?
With so many vendors calling themselves Customer Data Platforms (CDPs), it can be difficult to separate the signal from the noise. This articles explains how mParticle is different from other CDPs on the market.
MAU Vegas 2022: Everything you need to know
mParticle is thrilled to be at MAU Las Vegas this year. Read more about the event and RSVP for breakfast on us.
Unifying online and offline data to create a connected customer experience
Customers are now engaging seamlessly across both digital and in-store channels, and the experiences you deliver need to be equally seamless. Being able to integrate online and offline data in real time is critical not only to supporting data privacy, but also to making your customers feel valued.
Honesty, buzzwords, and the power of saying “no”: how to create successful vendor partnerships
On a recent episode of the podcast Connected by mParticle, host Abhi Seeth sat down with Taylor DiVincenzo, Sr. Solutions Engineer, Brand Marketer, and Programmatic Media Buyer. His unique experience on all sides of the marketing equation led to a great conversation on how brands and vendors can foster meaningful partnerships.
What is Data Chaos? And how to solve it
As you successfully drive growth, the complexity of your data landscape increases significantly. Unpredictable changes, both internal and external, make it difficult to execute your customer data strategy at scale. This is data chaos, and to solve it you need to be able to adapt to the changes.
Connected, by mParticle Bonus Episode: Michael Katz and Chee Chew
In this bonus episode, we share a conversation between mParticle Chief Product Officer Chee Chew and CEO Michael Katz on how organizations can leverage data to create a competitive advantage.
Deliver more responsible experiences and comply with Gambling Commission regulations
New regulations have been introduced that govern how gaming operators can manage and protect their high value customers. Complying with these regulations requires a fundamental shift in the way player data is collected, managed, and used. Here are five steps you can follow to support compliance.
Are voice assistant apps the future of customer engagement?
What is the future of voice interaction apps and how can they improve the customer experience? How much of your resources should you devote to voice interactions? Miguel Navarro, Digital Transformation Leader and Patented Inventor, touched on this and more in a recent episode of the Connected by mParticle podcast.
Strategische erneute Kundenansprache mit zentralisierter Zielgruppen-Orchestrierung
Erfahren Sie, wie das Zielgruppen-Team von Delivery Hero mParticle als zentrale Daten-Orchestrationsschicht nutzt, um strategische Kampagnen zur erneuten Kundenansprache über verschiedene Kanäle und Regionen hinweg zu starten.
Connected, by mParticle Episode 6: Empowering local restaurants with Jordan Plecque of ChowNow
In this episode we welcome Jordan Plecque, Analytics and Data Science Manager at ChowNow.
How to build a data-driven culture
Many business have data, but few are actually able to use their data to increase customer value. This post describes the technology and processes you can implement to build a data-driven culture that transcends individual teams and differing levels of technical understanding.
Sollten Sie eine Kundendatenplattform aufbauen oder kaufen?
Kundendatenplattformen sind ein wichtiger Bestandteil der modernen Dateninfrastruktur. Erfahren Sie, was für den Aufbau einer Kundendatenplattform erforderlich ist und wie Sie feststellen können, ob der Aufbau einer eigenen Lösung oder die Zusammenarbeit mit einem führenden Anbieter der richtige Weg für Ihr Unternehmen ist.
Wie Sie Ihre Strategie für Erstpartei-Daten aufbauen
Der Wegfall des Trackings durch Dritte bietet Marken die Möglichkeit, in eine moderne Dateninfrastruktur zu investieren und Vertrauen bei ihren Kunden aufzubauen. Erfahren Sie, wie Sie Ihre Datenlieferkette durch die Entwicklung einer Strategie für Erstpartei-Daten verändern können.
Avoiding the identity resolution trap
The way in which you perform identity resolution can have a profound impact on the customer experiences you're able to deliver. If your goal is to deliver personalized, privacy-compliant experiences at scale, here are three identity resolution mistakes you need to avoid.
Connected, by mParticle Episode 5: Loyalty 2.0 with Kevin Fitzpatrick of Ruby Tuesday
In this episode we welcome Kevin Fitzpatrick, SVP of Digital and Performance Marketing at Ruby Tuesday.
Ideal customer profiles are no longer enough
It's time to build a personalization program that treats your customers as humans, not as buying personas. Learn why ideal customer profiles are no longer enough for personalization, and how you can progress to delivering real-time, relevant customer experiences.