Connected, by mParticle Episode 13: How to develop a world-class MarTech department with Sesi Sijuade
On this episode, host Abhi Seeth connects with Sesi Sijuade, Head of Product - Marketing Technology at Sky to discuss the art and science of MarTech.
The Future of CDPs: Packaged and Composable
Just because you can unbundle a CDP, should you? By combining the best of packaged and composable approaches, you can configure a solution that enables you to accelerate time to data value while also reducing total cost of ownership.
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.
Enhancements to mParticle’s developer tools make it easier to collect data and ensure quality at the source
mParticle makes it easy for engineers to accurately collect customer data by translating data schemas into production-ready code.
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.
All mParticle customers can now try Indicative for free
mParticle customers can now try self-service analytics platform Indicative free for 30 days. Indicative helps marketers and PMs understand customer journeys, drive conversion, increase engagement, and retain customers––all without writing a line of code.
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.
mParticle is now available for purchase on AWS Marketplace
mParticle is now available on AWS Marketplace, which means it is easier than ever for organizations to transform cross-channel, first-party data into deeper insights and better outcomes by connecting mParticle with 300+ integration partners, including Amazon Kinesis, RedShift, Mixpanel, Zendesk and Braze.
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.
An inside look in mParticle Journeys roadmap themes and initiatives
In this article, we break down the four themes of the mParticle Journeys product–testing and experimentation, analytics, orchestration, and experience delivery–and explain how you can get involved in shaping the future of Journeys features.
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.