List of Experian Clear Early Risk Score Customers
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Since 2010, our global team of researchers has been studying Experian Clear Early Risk Score 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 Experian Clear Early Risk Score for Risk Management 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 Experian Clear Early Risk Score for Risk Management include: OneAZ Credit Union, a United States based Banking and Financial Services organisation with 505 employees and revenues of $108.0 million, Gather Federal Credit Union, a United States based Banking and Financial Services organisation with 100 employees and revenues of $30.0 million, Clear Mountain Bank, a United States based Banking and Financial Services organisation with 154 employees and revenues of $16.0 million and many others.
Contact us if you need a completed and verified list of companies using Experian Clear Early Risk Score, 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 Experian Clear Early Risk Score 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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Clear Mountain Bank | Banking and Financial Services | 154 | $16M | United States | Experian | Experian Clear Early Risk Score | Risk Management | 2022 | n/a |
In 2022 Clear Mountain Bank deployed Experian Clear Early Risk Score as part of Experian digital prescreen and data services to support personal loan acquisition in the United States. The deployment positioned Experian Clear Early Risk Score within a Risk Management framework to enable early risk identification and prescreen segmentation for digital lending channels.
The implementation combined prescreen decisioning, alternative credit data enrichment consistent with Experian Clarity style alternative scoring, and early risk segmentation. Bank configuration emphasized automated prescreen scoring, risk tier assignment, and conditional offer signaling to improve digital engagement and funnel quality for personal loans.
Operational scope covered retail lending, digital acquisition, and marketing teams for personal loan products in the United States, with prescreen flows instrumented into online application touchpoints. Governance centered on configuring risk thresholds and prescreen rules to manage offer targeting and referral routing. This maps Clear Mountain Bank, Experian Clear Early Risk Score, Risk Management, and digital lending and marketing functions into a unified prescreen decisioning architecture, and the prescreen and data services deployment generated more than $1 million in incremental loans and improved digital engagement for personal loans according to Experian.
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Gather Federal Credit Union | Banking and Financial Services | 100 | $30M | United States | Experian | Experian Clear Early Risk Score | Risk Management | 2022 | n/a |
In 2022, Gather Federal Credit Union implemented Experian Clear Early Risk Score as a Risk Management capability to augment its digital prequalification and booking flows. The deployment centralized Experian scores, consumer attributes and decisioning into the institution's consumer lending intake, with the stated objective of enabling frictionless digital prequalification and immediate booking of approved applications in the United States, specifically supporting finance operations in Hawaii.
The implementation integrated Experian consumer data including expanded and alternative attributes, the Clear Early Risk Score scoring output, and Experian decisioning logic into front end prequalification workflows. Functional modules included score-based risk assessment, attribute enrichment for application evaluation, and automated decisioning that fed prequalification outcomes to application routing and booking processes.
Operational coverage focused on the credit card and personal loan product lines within Gather Federal Credit Union's finance organization in Hawaii, with the Experian Clear Early Risk Score used at the point of digital prequalification and in subsequent underwriting handoffs. Integrations connected the score and attribute feeds into the credit evaluation path and the digital application booking sequence to shorten time to decision and enable immediate conversion when criteria were met.
Governance centered on configuring risk thresholds and decision rules within Experian decisioning to align with Gather Federal Credit Union underwriting policy, with operations teams in finance adjusting workflows to accept automated prequalification outcomes. The case study states that the combined use of Experian scores, attributes and decisioning enabled the credit union to book over $600,000 in new personal loans and credit cards within weeks of deployment.
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OneAZ Credit Union | Banking and Financial Services | 505 | $108M | United States | Experian | Experian Clear Early Risk Score | Risk Management | 2022 | n/a |
In 2022, OneAZ Credit Union implemented Experian Clear Early Risk Score as part of a broader deployment of Experian decisioning and data services. The work targeted Risk Management within the finance organization across the United States and focused on automating underwriting and accelerating loan funding decisions.
Implementation centered on the Experian Clear Early Risk Score, leveraging expanded consumer credit signals and alternative-data scoring to enable earlier risk stratification during origination. Configuration emphasized score-based decisioning and rule orchestration to support automated accept and refer workflows, along with data enrichment to improve profile completeness for underwriting.
The deployment integrated Experian decisioning and data services into OneAZ's underwriting workflow, ingesting the Clear Early Risk Score and alternative consumer data to drive automated adjudication and reduce manual reviews. Operational scope covered retail lending and finance teams in the United States, with the score applied at origination to influence funding decisions.
Governance moved toward centralized decision policies and audit trails to ensure consistent application of the Experian Clear Early Risk Score across channels, and processes were adjusted to reduce handoffs for manual review. Outcomes reported by the credit union included reduced manual reviews and an increase in funded loans attributed to the expanded and alternative data assets and scoring provided by Experian.
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