With an eye on FinTech Lending what can we learn from our lead selling that will help us approve more loans without assuming more risk.
Some stores need deeper assessment and others do not because they are excellent performers. Let’s look at one store and with the desire of loosening up in some areas where perhaps underwriting is too tight. Dylan and Jeremy at Cashmax call it “turning a knob” or “moving a lever.” Let’s move a knob or lever with this one store and see what happens.
Doing an assessment and would love TOFSC opinions. First, we are looking back at recent leads that have been sold through a lead buying network, what are others paying (we are going to assume it is a “FinTech”) for the leads they buy from you? After studying the sold lead what are your takeaways? If the smart FinTechs with all the “AI” and “Machine Learning and “Data” who own over half the Texas market are going for approvals with these customers who apply through you, then how can you learn from that and instead approve more for yourself versus letting go of potentially good paying customers? See below for some key data points from three recent sold applicants.
$88 – Customer A:
No FT ran.
Online app – Google
Time at address: 5yrs
Time at bank: 2yrs
Bank: Bank of America
Time at employer: 7yrs
Employer: Filtration Group
Income: $6,594.77
**Customer was denied for having too many open loans and frequently being negative. He has loans out with Lend nation, Cash Store, Check n Go, TX Car Title & Payday, World Finance, Integrity Funding, and Easy Financial.
Comment: long time at address, bank, and employer, strong income over $6k, tons of loans out and the buyer did not care. Also, did not care about account being so far in the negative.
$83 – Customer B:
FT: 111
Online app – Google
Time at address: 2yrs
Time at bank: 2yrs
Bank: A+ FCU
Time at employer: 5yrs
Employer: Travis County
Income: $3,600 (per app)
Comment: customer was denied for having too many open loans. FT shows loans with a total of $4,508 in outstanding balance. On her banking it shows Credit Ninja ($700 borrowed on 09/14) and Cashnet ($800 borrowed on 08/03).
$18.50 – Customer C:
FT: 111
Online: Google
Time at address: 3yrs
Time at bank: 8yrs
Bank: United Heritage CU
Time at employer: 3yrs
Employer: HCA Healthcare
Income: $2,500 (per app but it was verified at $1660.91)
Comment: FT denied due to having too many open loans and too many loans in collections. FT shows 5 loans totaling $897 outstanding balance and 3 loans in collections. However, we cannot find any loans in her banking history. Lower income and thus a lower sale amount. But address, bank, and employer were in the same ranges as the other two customers above. So, is the income the key factor here? Does that trump all other concerns?
Another one of our generous members shared his opinions on lead sales and how quoting lower first-time loan amounts can hinder growth”
“Typically, a loan selling for greater than $50.00 is auto approved with VERY little underwriting with Fintech. The issue you may run into is loan amount. The consumer most likely will not be interested in a loan less than $500, and sometimes the amount of fees will drive them away. But I would most definitely always reach out to them. Sometimes a local company makes them feel more comfortable, and you can close the deal. Regardless, a lead that sells for greater than $50.00 is a very good lead and most definitely worth your time to reach out.”
Going further with the assessment: pull the last (3) months of denial reasons, break that out by month, by store. Look at what the largest set of denial reasons is per store. Perhaps loosen up in one of the largest areas of denial. Maybe go one or two layers on the 2nd and 3rd most common denial reason and. Loosen slightly implement the lever move with the lowest perceived risk. Might that lever be “too many loans out” if the income is there? How far will you go on a negative balance? Also, per the comments above, go back and look at the leads that have sold over the last (3) months over $50 to study again and see what patterns exist.
Would love to hear from our clients, TOFSC members, and industry friends on this. Send feedback where you can!