We detected 136 customers using MParticle, 30 companies that churned or ended their trial, and 1 customers with estimated renewals in the next 3 months. The most common industry is Restaurants (20%) and the most common company size is 51-200 employees (24%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We detect companies that deploy MParticle client-side (most cases), but not companies that use it purely on the server-side
About MParticle
MParticle provides an end-to-end customer data platform that collects, unifies, and activates customer data across multiple sources and systems in real time with AI-powered insights. The platform enables brands to create personalized experiences through over 300 integrations while ensuring data quality, security, and privacy compliance.
Broadcast Media Production and Distribution25 (19%)
Newspaper Publishing15 (12%)
Hospitality11 (8%)
Retail9 (7%)
๐ Company Size Distribution
51-200 employees32 (24%)
201-500 employees28 (21%)
10,001+ employees19 (14%)
501-1,000 employees15 (11%)
2-10 employees13 (10%)
๐ Who in an organization decides to buy or use MParticle?
Source: Analysis of 100 job postings that mention MParticle
Job titles that mention MParticle
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Based on an analysis of job titles from postings that mention MParticle.
Job Title
Share
Director, Analytics
13%
Director, Marketing
7%
Marketing Automation Specialist
7%
Director, Product Management
6%
I noticed that MParticle buyers sit predominantly in three areas: analytics and data leadership (13%), marketing leadership (13% combined across directors and VPs), and product management (6%). Half the postings represent leadership roles, suggesting purchase decisions happen at director level and above. These buyers are focused on unifying customer data across channels, as evidenced by mentions of CDPs alongside marketing automation platforms, CRMs, and analytics tools. They're hiring for roles that bridge marketing technology, data engineering, and customer experience strategy.
The day-to-day users of MParticle span a wider range: data analysts building audience segments, CRM managers orchestrating lifecycle campaigns, marketing operations specialists maintaining integrations, and engineers implementing event tracking. I found heavy emphasis on cross-functional collaboration, with practitioners working between marketing, product, engineering, and data teams. Several postings specifically mention using MParticle for identity resolution, audience creation, event streaming, and feeding data to downstream activation platforms like Braze, Salesforce Marketing Cloud, and various ad networks.
The core pain point threading through these descriptions is fragmented customer data. Companies want to move from what one posting calls "a collection of fragmented digital properties" to unified systems that enable "real-time personalization and omnichannel orchestration." Another emphasizes the need to "turn data to insights and insights to action." I consistently saw language around eliminating silos, achieving "single source of truth," and enabling "personalized experiences across all screens and devices." These organizations are navigating privacy regulations while trying to scale data-driven marketing without rebuilding infrastructure from scratch.
๐ง What other technologies do MParticle customers also use?
Source: Analysis of tech stacks from 136 companies that use MParticle
Commonly Paired Technologies
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Shows how much more likely MParticle customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that companies using MParticle are heavily focused on digital media, publishing, and content monetization. The presence of tools like Parsely (a content analytics platform) and Marfeel (which optimizes content for mobile monetization) tells me these are publishers trying to maximize revenue from their audiences through sophisticated data strategies. They're not just creating content, they're treating audience data as a core business asset.
The pairing of MParticle with FullContact and Liveramp is particularly revealing. These companies are building unified customer identities across multiple touchpoints and then activating that data for advertising. When I see Movable Ink in the mix, it suggests they're personalizing email content at scale based on real-time behavioral data. Add Taboola for content recommendation and monetization, and you get a clear picture: these companies are publishers who need to track users across web and mobile, unify those identities, and then monetize through both direct advertising and programmatic channels.
My analysis shows these are marketing-led organizations, likely at growth or mature stages given the complexity and cost of this stack. They're dealing with massive audience scale, which is why they need an enterprise-grade customer data platform like MParticle to orchestrate everything. The emphasis on identity resolution and advertising technology suggests they're heavily dependent on programmatic revenue and need precise audience segmentation to command premium ad rates.
๐ฅ What types of companies is most likely to use MParticle?
Source: Analysis of Linkedin bios of 136 companies that use MParticle
Company Characteristics
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Shows how much more likely MParticle customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Newspaper Publishing
265.8x
Country: CA
19.0x
Company Size: 201-500
9.2x
Company Size: 51-200
4.6x
Country: US
2.6x
Country:
2.1x
I noticed that MParticle's customer base is dominated by consumer-facing companies that need to understand and engage individual customers at scale. The list is heavy with restaurants (Texas Roadhouse, Shake Shack, Burger King locations across multiple countries, Jimmy John's, Arby's, Buffalo Wild Wings), hospitality brands (Strawberry hotel group, Quality Hotel, Clarion), retail operations (Kurt Geiger, Starbucks, Sam's Club, Gymshark), and media properties (NBC networks, Telemundo stations, various newspapers). These aren't B2B software companies. They're businesses that serve millions of consumers daily and need to track customer behavior across digital touchpoints like apps, websites, and loyalty programs.
These are overwhelmingly mature, established enterprises. The restaurant chains operate hundreds or thousands of locations. Media companies reference decades of history. Several are publicly traded or owned by massive conglomerates like NBCUniversal and Comcast. The few funded companies show late-stage rounds or private equity backing. This isn't a startup tool. It's enterprise software for organizations with complex, multi-channel customer data challenges.
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