Google Tag Manager: Flexible, scalable tag management across web and mobile
The new Google Tag Manager integration from mParticle helps product and marketing teams easily launch pixels and trackers without pre-built connectors across web and mobile applications and collect customer data consistently and compliantly, at scale.
Inside Postmates' experimentation platform
Learn how Postmates uses mParticle to power their experimentation platform, leading to increased insights, improved customer experience, and better product output.
How AI and Machine Learning can improve product performance in minutes
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.
New eBook: 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.
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?
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 experience and ROI with dynamic 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.
Bring customer profiles to life with User Activity View
Understand customers' journeys to purchase in real time with User Activity VIew; access detailed customer profiles including identifiers, history, and beyond.
How to augment your DMP with a CDP
Create a dynamic martech stack capable of collecting, transforming, and activating customer data by using a CDP to augment your DMP. 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.
One-to-one engagement powered by machine learning
With mParticle, Overstock is able to deploy machine learning models rapidly on a solid data foundation.
Inside Overstock's Personalization Engine
Learn how Overstock powers personalization across web, email, mobile, and beyond.
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.
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.
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.
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.
Identity tech 101
Learn about the different kinds of identity tech, designed to help you understand and track behavior across the customer journey.
Move from device-based to people-based analytics and personalization
POSSIBLE Mobile is a certified partner of mParticle, a market-leading data platform that enables brands to collect and unify data generated by websites and apps. The data can then be reformatted and transmitted to other systems that help improve products and marketing.
App marketing using audience targeting
By applying good business sense and using technologies such as mParticle, app marketing to mobile users via audience targeting doesn't have to be a chore.
How Overstock uses machine learning to drive one-to-one engagement
Learn how Overstock implemented sustainable, scalable technical systems to create seamless customer experiences and drive one-to-one engagement.