Higher Education

Maximize student success from enrollment to donorship

Wherever you engage students, Attunely can optimize your contact strategies to drive increased enrollment, reduce student melt, and improve revenue recovery.

One billion consumer interactions and counting

Our expanding breadth of de-identified data on debtor behavior enables our models to make prescriptive insights that are individually tailored to each student account and its unique set of evolving circumstances – all without the need for personally identifiable information.

The result? Improved student satisfaction, increased revenue recoveries on shorter timelines, better agent productivity, higher right-party contacts, and more.

Dynamic Scoring Models

Why Machine Learning?

Behavioral Models Yield Substantial Predictive Power Over Traditional Credit-Based Models

Machine learning is the application of modern algorithms to the historical accounts you’ve already worked. Our economic and behavioral models analyze your existing database to create new recovery strategies based on what’s worked in the past.

How It Works

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Ingest Historical Data

Connect the Attunely machine learning engine to your existing system of record to analyze the debtor accounts you've already worked. We form a deep understanding of each account using your internal status and outcome codes, then map them to events in the Attunely platform.

Integrate Attunely Into Your Existing Workflow

Use the Attunely platform to filter and prioritize accounts, and export them as work queues. Or, merge the Attunely Scores back into your system of record, where they can be used as part of your normal operational workflow.

Tune Economic & Behavioral Models for Your Portfolios

We tune a series of proprietary machine learning models to match the historical performance of your portfolios and accounts. Different types of debt use different machine learning models. Each account is individually analyzed and scored across dozens of dimensions.

Filter & Segment Accounts with Semantic Tagging

Perform deeper segmentation on your accounts using dynamic rule-based filtering. Monitor for account anomalies or create rule-based compliance checks, all without writing a line of code.

Ingest Historical Data

Connect the Attunely machine learning engine to your existing system of record to analyze the debtor accounts you've already worked. We form a deep understanding of each account using your internal status and outcome codes, then map them to events in the Attunely platform.

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Integrate Attunely Into Your Existing Workflow

Use the Attunely platform to filter and prioritize accounts, and export them as work queues. Or, merge the Attunely Scores back into your system of record, where they can be used as part of your normal operational workflow.

Tune Economic & Behavioral Models for Your Portfolios

We tune a series of proprietary machine learning models to match the historical performance of your portfolios and accounts. Different types of debt use different machine learning models. Each account is individually analyzed and scored across dozens of dimensions.

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Credit Collection Partners Taps Attunely’s Machine Learning to Drive Increased Recoveries

Case Study