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.
How HBO Max launched personalized reengagement campaigns
With mParticle, HBO Max's marketing team is able to create audiences without engineering support and engage with their users more strategically.
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.
Marley Spoon implements mParticle to build a single customer view for multi-brand meal kit portfolio
mParticle Customer Data Platform will allow Marley Spoon to deliver better promotions and improve retention.
How BD myShopi improved personalization while protecting consumer data privacy
BD myShopi connects consumers with exclusive deals from Europe's leading retailers. Learn how they leverage mParticle to present consumers with relevant offers while also supporting data privacy.
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 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.
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.
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.
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.
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.
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?
How to embed trust in the customer journey
In a world where delivering an innovative customer experience is everything, a win at all costs mentality can lead to mistakes that destroy your brand forever.
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: 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.
It always make sense for apps to send personalized messages…except when it doesn’t
Personalizing messages for the wrong customers or at the wrong time can have major consequences for brands. To use personalized messaging effectively, brands need to take customer data like context, location, weather, and other signals.
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.
Power smarter advertising with Conversant and mParticle
mParticle’s new integration with Conversant allows brands to take the guesswork out of reaching the right consumers with personalized ads.
Zendesk is a customer service platform designed to create better customer relationships.
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.
Tapad is an acquisition and re-targeting solution that helps marketers engage the right people with the right content.
The 5 steps to customer-centric mobile commerce
When you align your mobile strategy to consumer behaviors you are supporting consumers’ mobility, not mobile in the abstract, and you greatly improve your chance of success.
The problem with app updates: Communication breakdown
While apps continue to make improvements from the time they launch, app stores don’t offer them a means to share progress within app updates.