Focus, Focus, Focus!
If you think running a letter campaign or cranking an auto-dialer
get you results, I’d have to beg to differ – collections, in my opinion, is
driven by experienced team members, not brute force efforts. I’m not saying that letters or predictive
dialers don’t add to the bottom line, but I believe they are just one small aspect. With that in mind, I’m going to talk about
manpower.
Assuming for the moment, you are running a manual calling
campaign, you are looking at anywhere from 70 to 200 calls per day per
collector on an outbound basis, and depending on age of accounts and
demographics, you are probably looking at a 15-20% right party contact
ratio. If you have your collectors
managing files on a three business day turnover, that means any one collector
can manage 300-500 accounts on any given point in time.
A key part of feeding a collector is refilling their
portfolios as they exhaust or eliminate files.
For arguments’ sake, let’s propose the following types of files are
exhausted in a typical collector’s chain:
=> 20% liquidation of all accounts in the portfolio means
60-100 files removed each month
=> 30% wrong numbers or exhausted trace files means
90-150 files removed each month=> 15% chronic avoids contact or no contact files means 45-75 files removed each month
=> 10% refusals to pay means another 30-50 files removed or put into a different rotation each month
=> 5% disputes, deceased, bankrupt, or otherwise closed files means 15-25 files removed each month
If all the above numbers are more or less true, that means
we are removing from a collectors’ chain 240-400 accounts per month, which need
to be replenished to keep them at maximum capacity and keep revenue flowing.
So, if an average full-time equivalent collector needs 300+
accounts a month input, that gives you what your FTE or manpower target for
manning a program should be. If you aren’t
working your files, that certainly means you can’t achieve your potential
liquidation on an account.
Month In, Month Out …
Liquidation of a portfolio isn’t an overnight process. If you letter a file on Day #1, and start calling on Day #7, and start achieving promise payments or payment arrangements, you are going to get a collection recovery bell curve that looks something like this:
This shows a small surge of recoveries in the beginning when letters are
received (and payments are mailed in or inbound calls from letters or disconnected services turn into payments), a
second surge as initial payment arrangements are met, and then the tail end of recoveries
as the diminishing law of returns kicks in as broken arrangements don’t pan out
and numerous calls are less likely to get return calls, but there is still
recovery on scheduled payments and persistent effort to reach folks.
What that means is the full potential of liquidation might
not be hit for 6 months, or more. So
that means you might see the following trend in six months to achieve 20%
recoveries.
Month 1
|
Month 2
|
Month 3
|
Month 4
|
Month 5
|
Month 6
|
3%
|
6%
|
4%
|
4%
|
2%
|
1%
|
Month 1
|
Month 2
|
Month 3
|
Month 4
|
Month 5
|
Month 6
|
3%
|
6%
|
4%
|
4%
|
2%
|
1%
|
|
3%
|
6%
|
4%
|
4%
|
2%
|
|
|
3%
|
6%
|
4%
|
4%
|
|
|
|
3%
|
6%
|
4%
|
|
|
|
|
3%
|
6%
|
So, Where Can You
Improve Recoveries?
Great question … and it’s not what a lot of collection
managers think. Look above, where we
talk about file attrition. If 10% of
your files are ‘lost recoveries’ because of refusals to pay, does that mean
going back in with double calls from a more experienced staff member, or churning
calls on refusals which is effectively ‘beating a dead horse’, does money flow? If you liquidate 20% on the first pass on a
portfolio, and you focus on 10% of the accounts that couldn’t be recovered, and
recover 20% of that 10%, that gives you a 2% lift … congratulations, you moved
your liquidation to 22%.
Or … you can look at the large segments that are uncultivated, such as the trace files, or the uncontacted consumers.
In our hypothetical scenario above, we show 30% wrong
numbers – now imagine if you could batch pull credit bureaus and find 40% of
these accounts, and apply the same recovery rates as above. That means 20% liquidation x 30% wrong
numbers x 40% located trace accounts = a further 2.4% recovery without having
to improve any other process.
A secondary solution would be to find alternate contact
methods – imagine you could run an SMS text campaign to reach consumers
previously uncontacted, and could achieve a 15% response rate (by the way, that’s
typically what we see with third party collection texting in Canada where it’s
permissible). This means 20% liquidation
x 15% avoids contact files x 15% response rate = 0.5% further recovery.
You can also look at the long game, and factor in
consequences, such as credit bureau reporting or legal action, or come up with
a plan to revisit previously uncooperative or unlocated trace accounts, which
would be a further long-term lift on recoveries, which might achieve anywhere
from 0.5% to 1% liquidation in the long run.
So, by looking at larger segments of the business and
working out proactive strategies to complement your existing process, you could
improve 3.4%-3.9% with the above scenario, bringing your liquidation up from 20%
to 24%, without adding additional manpower or aggravating consumers.
Conclusion
Obviously, every collection portfolio is different, and
different demographics or provincial or state laws dictate what you can and can’t
do in a collection environment, so this addresses liquidation goals in a very
abstract, general way – but it gives you something to think about when doing an
analysis of collection activity, and breaking down your process to find gaps or
areas for improvement.
If you have questions about your collection process, or want
to talk shop about process improvement, I’m always happy to chat – feel free to
drop me a line at 226-946-1730.
Thanks kindly,
Blair DeMarco-Wettlaufer
KINGSTON Data & CreditBrantford, Ontario
226-946-1730
bwettlaufer@kingstondc.com
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