List of Pyze Process Intelligence Platform Customers
Redwood City, 94063-3126, CA,
United States
Since 2010, our global team of researchers has been studying Pyze Process Intelligence Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Pyze Process Intelligence Platform for Artificial Intelligence Marketing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Pyze Process Intelligence Platform for Artificial Intelligence Marketing include: Pixatel, a United States based Education organisation with 1950 employees and revenues of $293.0 million, Way, a United States based Automotive organisation with 10 employees and revenues of $1.0 million, Mavatar Technologies, a United States based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Pyze Process Intelligence Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Pyze Process Intelligence Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Mavatar Technologies | Professional Services | 10 | $1M | United States | Pyze | Pyze Process Intelligence Platform | Artificial Intelligence Marketing | 2016 | n/a |
In 2016, Mavatar Technologies implemented the Pyze Process Intelligence Platform within its Artificial Intelligence Marketing stack in the United States. The deployment targeted Mavatar's omni-channel marketplace and mCart platform to deliver cross-channel visibility and analytics for marketing and commerce use cases.
The implementation leveraged Pyze Growth Intelligence capabilities for omni-channel analytics and dynamic funnels, and the Pyze Process Intelligence Platform was used to support end-to-end path and conversion analysis across web, mobile and kiosk channels. Functional focus included campaign effectiveness measurement and conversion optimization, unifying marketing and commerce workflows around funnel visualization and cross-channel path analysis to correlate touchpoints across digital and in-person channels.
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Pixatel | Education | 1950 | $293M | United States | Pyze | Pyze Process Intelligence Platform | Artificial Intelligence Marketing | 2016 | n/a |
In 2016, Pixatel implemented the Pyze Process Intelligence Platform to analyze user behavior across its tablet learning apps. The deployment used Pyze Growth Intelligence capabilities for conversion funnels and auto segmentation to automate engagement campaigns, targeting retention, session completion and monetization across Pixatel's education product portfolio.
Pyze Process Intelligence Platform was configured to deliver cross app behavioral analytics, funnel analysis, autosegmentation for targeted engagement, and campaign measurement, aligning with typical Artificial Intelligence Marketing functionality. Functional modules implemented included user journey instrumentation, event level analytics, cohort analysis and campaign orchestration, supporting conversion funnel optimization and automated engagement workflows.
Integrations focused on in app event collection and campaign execution within Pixatel's tablet learning apps, creating a centralized behavioral dataset for cross product analysis. Operational scope encompassed marketing and product management functions within Pixatel's education offerings, enabling coordinated engagement campaigns and measurement of session completion and monetization across apps.
Governance shifted toward rule based campaign automation and product analytics ownership by marketing and product teams, with Growth Intelligence driving segmentation and engagement triggers. According to Pyze documentation, the implementation increased retention, session completion and monetization for Pixatel's education product portfolio.
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Way | Automotive | 10 | $1M | United States | Pyze | Pyze Process Intelligence Platform | Artificial Intelligence Marketing | 2016 | n/a |
In 2016, Way implemented the Pyze Process Intelligence Platform to automate mobile growth and in app engagement for its AirTap service in the United States. The implementation prioritized mobile marketing workflows and behavioral instrumentation to surface user signals for product and growth decision making.
The case study explicitly references Pyze Growth Intelligence for mobile marketing, which Way used to run in app campaigns and collect sentiment from first time users. The Pyze Process Intelligence Platform is described here in the context of cross platform analytics and funnel analysis, and the engagement likely leveraged common Artificial Intelligence Marketing capabilities such as event tracking, funnel visualization, cohort segmentation, and campaign automation to orchestrate growth intelligence.
Deployment focused on the AirTap mobile application and SDK instrumentation, with operational ownership aligned to Way's product and mobile marketing teams. The operational scope was concentrated in the United States and centered on onboarding and in app engagement pathways to capture behavioral and sentiment signals.
Reported outcomes include a 10x increase in first time user sentiment data collection and an acceleration of product/market fit for AirTap in the United States. Governance emphasized feeding behavioral and sentiment signals back into product iteration and mobile growth workflows to inform targeting and feature prioritization.
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