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Dynamic Optimization Models 

Powered by the industry’s largest dataset on de-identified delinquent  consumer behavior, Attunely’s machine learning platform determines the most effective outreach tactics through every phase of the servicing, delinquency, and recovery life cycle. Our models are further customized with your own historical, de-identified account information to deliver insights that maximize your outreach strategies. 

Propensity-to-Pay Model

Predict whether payment is likely from a delinquent consumer

The Attunely Propensity model estimates the likelihood of immediate payment for each delinquent (de-identified) account. Our model also produces an overall probability score that changes dynamically in response to the ongoing interactions between your organization and the consumer. 

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Liquidation Model

Analyze historical data to ​inform the expected value​ over a specific timeframe

The Attunely Liquidation model combines behavioral signals and proprietary macroeconomic models with your organization's de-identified, historical transaction data to produce an expected value for each account. It is informed by historical calls, letters, emails, and text messages, and dynamically refines an account-level score based on each interaction with the consumer. 

Day Zero Model

Predict an expected value based on Attunely’s exclusive de-identified dataset 

Attunely’s Day Zero model is a lightweight version of our Liquidation model. It leverages the industry’s largest, de-identified dataset on delinquent consumer behaviors – combined with proprietary models built and maintained on national, macroeconomic attributes, traditional de-identified credit-based features, and over 30,000 (and counting) creditor groupings – to predict an expected value for each account.  The Day Zero Model is deployed without the need for historical account information, and dynamically refreshes its values for each account as your organization interacts with the portfolio. 

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Settlement Optimization Model

Calculate the best offer to settle an account in a debt purchase portfolio

The Attunely Settlement model leverages de-identified historical collection data to estimate the likelihood, timing, and expected liquidation value of accounts in a debt purchase portfolio. This enables recovery experts to produce the optimal settlement, payment plan, or paid-in-full demand for every purchased debt account.

Payment Plan Model

Calculate optimal payment plan ​options

The Payment Plan model monitors de-identified accounts on existing payment schedules as well as those that have made a promise to pay. The model leverages many of the same attributes found in our Liquidation and Propensity models to calculate a probability of breakage for each account with a payment plan. Like other models, these probabilities update dynamically as your organization interacts with the portfolio.  

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Time of Day Model

Match each consumer with a preferred time to be contacted

The Attunely Time of Day model recommends the best time to reach out to a consumer to achieve success. Combined with our Liquidation model, we produce a system-ready file that matches the highest-yielding accounts on a de-identified basis with their preferred time slots and method of outreach. This allows for more contacts using fewer outbound attempts.

Default Prevention Model

Determine which consumers need counseling or additional support

The Attunely Default Prevention model determines which accounts (on a de-identified basis) require minimal intervention and which would benefit from additional counseling or support to prevent default. This model provides a dedicated approach to handling alternative successful outcomes, such as deferrals, forbearance, or alternative options. 

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