Build Predictive Audiences with mParticle
In this video, mParticle VP of Product Marketing, James Fang, demonstrates how teams can build AI-powered Predictive Audiences with mParticle—no army of data scientists required.
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.
4 ways to improve personalization programs with insights from the data warehouse
Data from your data warehouse may help make your personalization programs more targeted, relevant, and impactful–if you can leverage it effectively, that is. This blog post explores how leading brands are using data in the data warehouse to engage with customers in the moments that matter.
How Klarna empowers 25+ teams across the organization with better customer data
In this presentation, Klarna's CRM Data team breaks down how they've partnered with mParticle to improve access to customer data and accelerate time to data value across the company.
How the New York Post tripled campaign conversions for its premium sports membership
Learn how the New York Post leveraged AI to improve campaign targeting and drive subscriptions.
Treatwell partners with mParticle to bring innovative digital experiences to the hair and beauty community
mParticle Customer Data Platform will enable Treatwell to deliver better personalization at scale.
Klaviyo vs. Mailchimp: How to choose the right email solution for your team
Email Marketing Platforms allow you to turn data into business value by delivering personalized email experiences to your customers. Learn about the differences between Klaviyo and Mailchimp, two leading email platforms, and understand how to choose the right email solution for your needs.
Zendesk vs. Salesforce: Which CRM is better for your marketing team?
CRMs are a critical piece of your MarTech stack. Learn the differences between Zendesk Sell and Salesforce, and how to choose the right CRM for your use cases, business goals, and budget.
Deliver personalized loyalty experiences with the mParticle PAR Punchh integration
Power better loyalty experiences by forwarding high-quality customer data from mParticle to Punchh, and ingest loyalty insights from Punchh to mParticle to keep 360-degree customer profiles up-to-date.
Four ways to drive retention with mParticle Lifetime Profiles for Audiences
Learn more about mParticle Lifetime Profiles for Audiences and check out these four ways you can use Lifetime Profiles to increase retention and customer lifetime value.
Supercharge your SMS campaigns with the mParticle Attentive integration
By powering Attentive's best-in-class SMS capabilities with real-time customer data from mParticle, marketing teams can deliver more granular personalization and increase the impact of their SMS campaigns.
Meet mParticle IDSync: The flexible identity framework you didn’t know you needed
When it comes to resolving cross-channel user events to a single profile, there is no one-size-fits-all approach. mParticle’s identity framework prioritizes flexibility, and empowers data stakeholders to take control over how profiles are created.
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.
C&A adopts mParticle Customer Data Platform to power omnichannel customer experience
Leading European fashion brand uses mParticle CDP to track customer touchpoints and tailor the customer journey online and in retail outlets.
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.
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.
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.
mParticle launches toolkit to help brands optimize cross-channel customer journeys
VentureBeat's Shubham Sharma provides coverage of mParticle's most recent product launch, Journeys.
Connected, by mParticle Episode 3: Leveraging emerging platforms with Miguel Navarro
In this episode of the Connected, by mParticle podcast we welcome Miguel Navarro, digital transformation leader and patented inventor.
Why I’m Here — I’ve joined mParticle to build the future of customer relationships
Access to accurate customer data, and the ability to turn it into actions that benefit customers, is the future of customer relationships. In this post, Katie Cerar discusses how she'll be helping brands build that future as Head of Product Strategy at mParticle.
How Reverb optimized their data workflows at scale and gave users the rockstar treatment
With mParticle at the heart of their data stack, 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.
Power first-party advertising with mParticle's Yahoo! integration
Yahoo! sees roughly 200b daily cross-screen data signals from search, mail, commerce, and content. With mParticle’s new integration with Yahoo!, connecting those data signals just got a lot easier.
Three mobile campaigns that quickly grab consumer attention
Mobile users are always on the go. In this guest post, Shannon Cook, Director of Go-to-Market Enablement at Movable Ink, shares three mobile campaigns you can use to capture, and hold, your customers' attention.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
Build a high quality customer data pipeline to accelerate growth
Customer data quality is critical to making successful marketing and analytics decisions. Learn more about how you can protect data quality with mParticle during this comprehensive walkthrough of our data quality toolset.
Seamless first- and third-party data enrichment
The newly debuted Data Partners Program is a group of enrichment data partners that meet the highest standard of data integration with mParticle’s CDP; these integrations allow third-party data to be collected and connected to the first-party persistent customer profiles existing within mParticle to provide a complete, real-time view of the customer which can then be used to seamlessly connect insights to a growing ecosystem of 250+ outbound integrations.
iOS 14, third-party cookies, and the future of data-driven marketing
This year, at its annual developer conference, a significant announcement that will have a wide-ranging impact on the future of mobile customer experience was sandwiched between the usual product announcements. The IDFA (the ID present on all Apple mobile devices and used across the martech and adtech industries) would now require explicit user permission to use. This change dramatically limits the usability of the IDFA as a form of universal identity that brands and vendors can use to power marketing, measurement, and everything in between.
3 ways to act on shifts in customer sentiment
Tracking customer sentiment is critical to delivering successful experiences. Learn how Apptentive enables you to monitor shifts in customer sentiment and act on them to improve customer experience.
Drive loyalty with mParticle and SessionM
With the new SessionM integration, mParticle customers can supercharge their loyalty programs with high-quality first-party customer data, and use insights gained from their loyalty program to increase ad spend efficiency and find new high-value customers.
Target with precision with Amazon Advertising
With the new Amazon Advertising integration, marketers can target advertising on Amazon properties and across the web, with audiences based on reliable first-party customer data.
mParticle LiveRamp for Targeting
mParticle LiveRamp for targeting enables customers to leverage LiveRamp’s industry-leading identity graph and exponentially expand their reach. Deliver privacy-friendly, world-class experiences at an unprecedented scale.
New platform features: Data infrastructure, quality, governance, and personalization streamlined
Creating an effective, clean data pipeline that helps you create better customer experiences, guides product and business initiatives, and manages your customer data end-to-end while complying with data privacy regulations is no short order. Never fear, new platform features spanning across data infrastructure, quality, governance, and personalization are here to help.
The difference between CDPs, DMPs, and CRMs
Discover the distinctions between these three very different martech solutions and which uses cases is best suited to your chosen technology provider.
Omnichannel personalization with Profile API
mParticle's Profile API allows you to leverage comprehensive, omnichannel user profiles to create unique customer experiences for your users, anywhere you can make an HTTPS request.
Connect your Looker Data Actions to mParticle
Take action on your Looker insights by connecting data to mParticle with Looker Data Actions.
When identity resolution goes wrong
mParticle CEO and Co-founder, Michael Katz, discusses why identity resolution is so critical for brands today, where mistakes can be made, and how mParticle can help.
Activity Overview and new Audience features
The new Audience Overview, Nested Audiences, and Forward-Looking Audiences provide teams with the insight and capabilities to make better, data-driven decisions and improve engagement.
Data is a team sport: Q4 feature announcements
Bad news for the rogue product manager, the lone wolf data scientist, the intransigent head of infosec, and the obstinate engineering manager: Data is a team sport. Learn about the forthcoming releases designed to help your whole team do more with more of your data.
DMEXCO 2019: Identity, Customer Experience, and the rise of the CDP
VP Sales EMEA Tim Norris shares the key themes of DMEXCO 2019.
Create personalized campaigns with Responsys
Power your Oracle Responsys communications with rich user data, without the hassle of manual file uploads.
Contextual experiences at scale with Cordial
With the new Cordial integration, marketers can create tailored customer experiences across email, web, mobile push, SMS, and direct mail that can adapt based on changing behavior or business needs for better engagement, deeper customer loyalty, and a greater return on marketing ROI.
Connect to AccuWeather APIs and deliver relevant customer experiences
mParticle users can connect to AccuWeather APIs to further enrich customer profiles with valuable weather data and provide even greater context.
How Burger King swerved its way to 6MM loyal app users
Learn how Burger King implemented an integrated tech stack and data strategy to launch the acclaimed Whopper Detour campaign, drive 6MM app downloads, and deliver better, real-time customer experiences on the BK mobile app.
Mayur Gupta on marketing as a growth engine
At Acceleration 2019, Freshly CMO Mayur Gupta discussed how brands can thrive in a consumer-driven world by re-positioning marketing as a growth engine, one that is adaptable and in sync with the preferences and needs of consumers.
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.
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.
Real-time marketing for modern brands
Customers expect seamless, personalized engagements from brands across every touch point, in real time, every time. Can your martech stack deliver?
Real time, real results
Learn how marketers at Overstock, Burger King, and Via are harnessing real-time data and continuous intelligence to create transformative customers experiences and smash their KPIs.
mParticle's formula for CX
DMN's Kim Davis discusses Acceleration 2019, the launch of mParticle's Accelerator program and the announcement of our latest real-time Profile API in this customer experience-focused story.
A marketer’s guide to CDPs (behind the hype edition)
AdExchanger's Allison Schiff spoke to mParticle's CEO & Co-founder, Michael Katz, in this updated marketer's guide to CDPs where mParticle is noted as a significant independent company in the rapidly expanding category.
Introducing the Profile API for hyper-personalization at scale
Personalize on-site and in-app experiences wherever your customers are, in real time with the new Profile API feature. Now in limited beta.
Improve customer experiences with A/B testing
Use mParticle and Optimizely’s experimentation platform to empower your marketing and product teams to easily A/B test and deploy winning digital experiences in real time.
Lifetime Audiences and User Attribute Forwarding
The new Lifetime Audiences and User Attribute Forwarding features provide marketers with greater control and flexibility over audiences for better one-to-one experiences across customers' journeys.
Introducing Audience Download
Power your identity-based marketing everywhere with Audience Download.
Experiment across the customer journey
mParticle’s integration with Optimizely’s experimentation platform empowers marketing and product teams to easily test, learn, and deploy winning digital experiences in real time.
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.
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.
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.
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.
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.
The new consumer marketing
How a new generation of direct-to-consumer brands is reimagining relationship management and transforming the marketing world.
Three Ways to leverage in-store QR codes
Retailers need to create cohesive experiences, but moving traditional offline customers to digital products can be challenging. Learn how you can use QR codes in-store to move customers online and close the data loop.
CDP vs. DMP: What’s the difference and which one should you use?
Create a dynamic martech stack capable of collecting, transforming, and activating customer data by using a Customer Data Platform to augment your Data Management Platform. Learn how you can leverage these technologies to help you turn your customer data into a growth asset.
Real-time, contextual marketing, across every channel
Overstock built a modern, best-of-breed marketing stack—with the customer at the center.
Inside Overstock's Personalization Engine
Learn how Overstock powers personalization across web, email, mobile, and beyond.
One-to-one engagement powered by machine learning
With mParticle, Overstock is able to deploy machine learning models rapidly on a solid data foundation.
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.
7 ways the top quick-serve restaurant apps engage their users
Quick-serve restaurants lead the pack when it comes to engaging with customers via mobile apps. Read about how seven of the most successful QSR apps do it!
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.
3 ways to leverage audience A/B testing
A/B testing can help marketers understand how campaign attributes like engagement channels, creatives, and ad networks affect customer engagement.
Location services best practices
Many mobile apps can greatly improve their users’ experience by making use of information on users’ whereabouts. A hotel app…
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.
3 eCommerce marketing trends sure to rule ShopTalk 2018
Learn about three of the biggest ecommerce trends bound to come up at this year’s ShopTalk conference: personalization, mobile-first, and voice-activation.
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.
Power your mobile financial services strategy
With the rise of mobile financial services, traditional financial companies have to change the way they approach modern customers or face failure.
14 eCommerce audiences marketers need to succeed
Reaching these 14 eCommerce audiences with the right content can make all the difference in terms of engagement, conversion, and satisfaction.
How Overstock powers hyper-personalized web, email, and mobile engagement
This blog post is based on a talk given by Brent Christensen, Director of Database Marketing at Overstock.com, during the Email Insider Summit 2017 in Deer Valley.
Customer data management in the connected era
Customer data management in 2018 has to be agile, comprehensive, and secure, all in real time. Learn how a CDP can help you win in the Connected Era.
Bring your customer journeys to life
Understand customers' journeys to purchase in real time with User Activity VIew; access detailed customer profiles including identifiers, history, and beyond.
Snapchat partnership with mParticle
By partnering with mParticle, marketers can coordinate Snapchat ads with the rest of their marketing and analytics stack for a seamless customer experience.
Announcing our Feeds integration with Radar
The new Radar integration allows mParticle customers to forward Radar Geofences, Insights, and Places events to mParticle to add location data to customer profiles and building location-based campaigns.
Third-party segment insight
Create more robust customer profiles by enriching them with third-party data to activate features like lookalike audiences, geolocation, and more.