List of Affinaquest Predictive Analytics Customers
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Since 2010, our global team of researchers has been studying Affinaquest Predictive Analytics 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 Affinaquest Predictive Analytics for Analytics and BI 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 Affinaquest Predictive Analytics for Analytics and BI include: Carnegie Mellon University, a United States based Education organisation with 6779 employees and revenues of $1.78 billion, University Of Cincinnati, a United States based Education organisation with 15000 employees and revenues of $1.56 billion, Boise State University, a United States based Education organisation with 3682 employees and revenues of $593.0 million and many others.
Contact us if you need a completed and verified list of companies using Affinaquest Predictive Analytics, 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 Affinaquest Predictive Analytics 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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Boise State University | Education | 3682 | $593M | United States | Affinaquest | Affinaquest Predictive Analytics | Analytics and BI | 2024 | n/a |
In 2024 Boise State University deployed Affinaquest Predictive Analytics, using Predictive Analytics capabilities to support Boise State Athletics ticketing and fan engagement. The implementation centered on identifying at-risk season ticket holders and driving renewals within the athletics ticketing and sales processes, leveraging the Affinaquest Predictive Analytics application alongside the Affinaquest CDP.
Affinaquest Predictive Analytics was configured to deliver renewal propensity scoring and segmentation for season ticket members, and to operationalize automated outreach workflows through the Affinaquest CDP. The implementation emphasized predictive scoring models, audience segmentation, and campaign orchestration to prioritize retention outreach and streamline renewal communications.
Integrations were executed between Affinaquest Predictive Analytics and the Affinaquest CDP to align predictive scores with fan engagement and ticketing workflows, enabling targeted outreach inside the athletics sales operations. Operational scope was concentrated on Boise State Athletics in the United States, touching ticketing, sales, and fan engagement functions within the department.
The program delivered explicit outcomes reported by the athletics department, including a 72% renewal rate among at-risk members, $684K in renewed revenue, and advancing the department $1M ahead of the prior year’s pace while also saving staff time.
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Carnegie Mellon University | Education | 6779 | $1.8B | United States | Affinaquest | Affinaquest Predictive Analytics | Analytics and BI | 2022 | n/a |
In 2022 Carnegie Mellon University deployed Affinaquest Predictive Analytics to support its advancement and fundraising programs. Affinaquest Predictive Analytics, classified as Predictive Analytics, was used to build statistical propensity models for donor and volunteer engagement within the university advancement function.
The implementation centered on logistic regression models built in Python, with model scoring and outputs surfaced through custom Salesforce objects and Tableau dashboards. Affinaquest Predictive Analytics was configured to generate prospect propensity scores and associated attributes, enabling operationalized model access inside the Advancement RM CRM and visualization layers.
Integrations included direct integration with the Advancement RM Salesforce CRM, where custom objects carried model scores and flags, and Tableau for dashboarding and analyst review. The deployment targeted advancement and fundraising workflows in the United States and was specifically applied to annual giving prospect identification and volunteer recruitment targeting.
Governance and operationalization focused on embedding model outputs into existing prospecting workflows inside Salesforce and Tableau driven review processes, ensuring frontline advancement teams could act on scored prospects. The implementation emphasized repeatable scoring delivery and CRM object level surfacing of predictions to support prospect identification and targeting for advancement and fundraising functions.
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University Of Cincinnati | Education | 15000 | $1.6B | United States | Affinaquest | Affinaquest Predictive Analytics | Analytics and BI | 2022 | n/a |
In 2022 the University of Cincinnati Athletics selected Affinaquest Predictive Analytics and data management under a multi-year agreement to support ticket sales, fan engagement, and personalized outreach, Apps Category . The selection centers on deploying Affinaquest Predictive Analytics to provide predictive scoring, audience segmentation, and a Golden Record data solution tied directly to athletics ticketing and service workflows. Implementation scope is explicitly the University of Cincinnati Athletics department in the United States and includes support for new in-house ticket sales and service teams rather than external vendor handling.
Affinaquest Predictive Analytics was configured to combine data management and predictive modeling capabilities, creating unified customer records through the Golden Record approach and enabling personalized outreach workflows. Functional modules implemented include predictive donor and fan propensity scoring, segmentation for targeted campaigns, contact and interaction orchestration for ticket sales teams, and data hygiene and identity resolution processes to sustain the Golden Record.
The deployment emphasized operational integration with athletics sales and service processes, embedding analytics-driven scripts and outreach lists into in-house ticket operations and fan engagement routines. Governance provisions in the agreement focused on multi-year operationalization, data stewardship for the Golden Record, and process changes to transition sales execution to internal teams. The stated aim of the implementation was to enhance personalized service to fans and to drive revenue through analytics-driven sales strategy and a unified data foundation.
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Buyer Intent: Companies Evaluating Affinaquest Predictive Analytics
- Morningstar, a United States based Banking and Financial Services organization with 11115 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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