Financial Wellness Starts With
Making Ends Meet

  • Predictive Budget Simulation & Training

  • Addictive Peer-Comparative Perspective

  • Student Career Path Planning

  • The Employee Benefit Needed Most

  • Alternative Data For Thin Credit File Lending

Powered by SPENDiD

DEMOGRAPHIC VARIABLES THAT DRIVE SPENDiD:

INCOME or OCCUPATION

ZIP CODE

AGE

#in HOUSEHOLD

RENT VS OWN

TESTIMONIALS

SPENDiD’s REST API

offers fintech developers simple endpoints that can lead to higher user engagement, actionable consumer spending insights, and potential growth in deposits and loan approval rates:

  • Spending Behavior Modeling

  • Predictive Budget Creation

  • Cash Flow Health Scoring

  • Income by Occupation Selector

THESE ALLOW DEVELOPERS TO…

  • Offer unbiased peer-comparative spending behaviors by expense category

    (NOTE: Our surveys confirm your users want this feature)

  • Generate valuable spending and saving behavior models based on a few simple user inputs, or even behind the scenes with demographic and major expense category spending data you may already have access to about the user or account holder.

  • Uncover “out of the norm” spending behaviors with our always up-to-date REST API.

  • Reveal profitable “ability to pay” data to support loan approvals to thin-credit-files and the credit invisible

  • Offer automated predictive budget creation and cash flow health analysis to your users, members, or account holders, keeping them more engaged with your app or website while informing you of their personalized needs for your products and services.

  • Create and monitor simple-to-understand cash flow health scores and predicted saving ability.

Need a simple effective way to confidently approve more loans to those with “thin credit files” or the “credit invisible”?

SPENDiD CAN HELP

Because not every profitable credit risk has a strong FICO Score.

Include the SPENDiD REST API in your consumer fintech toolbox

Request an API Key and start testing for free

Four powerful end-points

Clear, easy-to-understand documentation

Data and logic updated often

Contact us

Contact us