mParticle provides a unified customer data infrastructure that eliminates data silos and enables real-time data orchestration across marketing, analytics, and data warehouse tools through a single integration.
Last updated Apr 12, 2026 by AI Enrichment
Leading enterprise-focused CDP with strong mobile data capabilities
mParticle is a customer data platform (CDP) that enables companies to collect, unify, and connect customer data across their entire marketing and analytics technology stack. Founded in 2013, the platform serves as a central hub for customer data management, allowing brands to capture data from multiple sources (mobile apps, web, connected devices), standardize it, and route it to hundreds of integrated partners including analytics, marketing automation, and advertising platforms. The company was acquired by Rokt in December 2024 but continues to operate as a distinct brand and platform. mParticle's platform addresses the challenge of fragmented customer data by providing a single SDK/API integration that connects to over 300 pre-built integrations with marketing, analytics, and data warehouse solutions. The company serves enterprise and mid-market brands across retail, media & entertainment, financial services, and other consumer-facing industries. Its core capabilities include real-time data streaming, audience segmentation, identity resolution, data quality management, and privacy controls. As part of Rokt's portfolio, mParticle continues to serve its customer base while benefiting from Rokt's ecommerce technology expertise. The platform remains a significant player in the CDP market, competing with solutions like Segment (Twilio), Adobe Experience Platform, and Tealium, with a particular strength in mobile-first data collection and real-time data orchestration capabilities.
Pre-built integrations with 300+ marketing, analytics, and data warehouse platforms for seamless data routing
Real-time audience segmentation and activation across connected platforms
Unified customer profiles across devices and channels through deterministic and probabilistic matching
Data validation, governance, and quality controls to ensure clean, reliable customer data
Tools for managing user consent, data privacy compliance, and data subject rights