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Factoids |
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If it's a particularly harsh month, anyone who has two
nickels to rub together gets a TV |
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Unlike a credit check, scoring requires no past payment
history |
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You can 'weight' the variables by increasing or decreasing
the range of possible scores |
| You will find that, over time, everything
is predictable |
With 'No Credit Check' etched in stone at every Rent
to Own in America, rental application approval would seem to be a
'no-brainer'. In reality, Rent to Own managers, irregardless of any stated
company policy, tend operate at one of two extremes.
or
Some of us fluctuate between the two extremes depending on
our BOR goals for the month. If it's a particularly harsh month, anyone
who has two nickels to rub together gets a TV. As with most things, the
truth lies somewhere in between.
The key to long term success of any application approval
system is consistency. Scoring applications based on a fixed scale
can deliver company wide consistency, and improve your bottom line.
No matter how you look at it... using a 'sub-prime' credit
reporting agency to check a customers past payment history outside the
Rent to Own industry is a credit check.
Unlike a credit check, scoring requires no past payment
history information. It is a method of assigning a value to a series of
variables regarding your prospective customer
For example, all Rent to Own applications ask 'How long
have you lived at your current address'? Scoring would simply assign a
number value to each of the possible answers...
| Current Address |
Score |
| 0-3 months |
1 |
| 3-6 months |
2 |
| 6-12 months |
3 |
| Over 1 year |
4 |
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"How long have you been employed at this job'?
| Time at this job |
Score |
| 0-3 months |
1 |
| 3-6 months |
2 |
| 6-12 months |
3 |
| Over 1 year |
4 |
| |
...And so on for every question asked on the rental
application. Add up all the numbers and you get a 'Score' for the
application.
You can 'weight' the variables by increasing or decreasing
the range of possible scores. For example...
Rufus Mudsuckers Rent Emporium has learned over
time that customers working at the same job for 5 months renew their
rental agreement 25% longer than those on the job for less than 3
months. He 'weights' the time on job number like this...
| Time at this job |
Score |
| 0-3 months |
0 |
| 3-6 months |
4 |
| 6-12 months |
6 |
| Over 1 year |
8 |
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An application gets no points for 0-3 months. and 8
points for Over 12 months.
The weight given to each category is the critical
factor, and will vary from company to company. Some RTO's will choose to
put more weight on 'Time at your current address'. Others on the 'Number
of Personal References'.
"Every rental application you have ever reviewed
has been scored by you...even if subconsciously".
Using a company wide scoring guideline can bring much
needed consistence to the process.
Setting up a scoring system
"If you want to know the future...look at the
past"
Get the last 3 months worth of customer files. Divide them
into 3 stacks.
Ignore agreements between 3 and 6 months in length. This
will make the differences between profitable and unprofitable agreements
more obvious.
Start with the Paid Outs. These are your best customers.
Go through each rental application. Look for similarities. Time on the
job...own a vehicle...has phone service etc. All these things are pieces
of the puzzle.
Repeat this process for agreements that were renewed for
more than 6 months. These agreements are profitable.
Repeat for agreements renewed for less than 3 months.
These are the money losers. You will never avoid these completely, but
over time, a scoring system will reduce your exposure to unprofitable,
short term agreements.
Put this newly acquired data to use
Implement a scoring system based on what you learned. If most of your paid
outs lived at the same address for more than 1 year, stayed at the same
job for 3 months, and have a working phone, weight these responses more
heavily on your scale by increasing their value (ie 5-10)
Things that don't seem to affect length of agreement
should be rated on a lower scale to reduce their 'weight' (ie 1-3).
Every time an agreement is terminated, keep a running list
of two things...
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Application Score
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Length of agreement
After 3 months of using your new system, you will be ready
to experiment with minimum acceptable scores. Use extreme caution during
implementation. Better to start low and work your way up than risk turning
away good customers.
You will find that, over time, everything is
predictable.
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