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Neener Analytics Completes Proof-of-Concept with Jamaican Payday Lender

FinovateSpring Best of Show winner Neener Analytics is showing a leading payday lender headquartered in Jamaica how its social media analytics can help boost a number of KPIs.

In a recent email, Neener Analytics said that a just-completed pilot resulted in lowering the lender’s default rates by 33%, and showed ways to grow revenue by more than 20% and  increase loan volume by than 33% without increasing current risk thresholds.

“We’re not cherry-picking here. This is just another example of results we achieve regularly for our customers,” the company stated.

Neener Analyics has developed social media analytics solutions for lenders, insurance companies and other businesses to help assess risk outcomes for thin file and no file credit customers. The company’s regulatory, compliant solutions work with a simple, single login from Facebook, LinkedIn, or Twitter, and enable institutions to predict which borrowers represent a high default risk, which borrowers are likely to payoff debts early, and even which debtors are likely to pursue full amortization (the likelihood that their debt will be revolved). Neener Analytics also provides a risk-correlated, projected FICO score with an accuracy of nearly 80%.

At FinovateSpring last year, the company demoed key features of its compliant social media analytics platform: Default Prediction, Transactor-Revolver Prediction, and Risk Alignment. Based in San Jose, California, Neener Analytics was co-founded by Jeff LoCastro (CEO) and Marc Tomlinson (CTO & Co-founder). The company is an alum of the Plug and Play accelerator, entering the program in the fall of 2017, and was a finalist in the Citi Tech for Integrity Challenge. Read our profile of Neener Analytics from last summer.