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Professor Ian MacMillan: Measuring Consumer Leverage Exposure

December 17, 2009 / 10:50

This episode discusses consumer leverage exposure, the impact of consumer debt on businesses, and a tool to assess this risk. Key topics include consumer debt levels, the consequences of reduced credit availability, and strategies for businesses to mitigate risks.

The speaker highlights that the average consumer would take 16 months to pay off their debt if they focused solely on that. This situation poses a risk for businesses reliant on consumer credit sales, as reduced consumer spending can lead to significant revenue losses.

Specific examples illustrate how different industries will be affected. For instance, companies selling furniture may face severe challenges if consumers stop using credit, while those selling high-ticket items like aircraft engines may be less impacted.

The episode emphasizes the importance of businesses assessing their exposure to consumer leverage and taking proactive measures to limit risks. The speaker encourages companies to segment their customer base based on their ability and willingness to incur debt.

Incentives for cash purchases and understanding customer behavior are suggested as strategies to navigate the impending challenges posed by consumer debt levels.

TL;DR

Consumer leverage exposure threatens businesses as consumer debt rises; a new tool helps assess risks and suggests strategies for mitigation.

Episode

10:50
00:00:08
The tool that I'm going to talk about uh
00:00:10
today is uh looking at what I call
00:00:13
consumer leverage exposure. And we have
00:00:16
developed a very simple little tool that
00:00:17
you can use uh input data from your
00:00:20
business and get a bit of a sense of
00:00:21
just uh how concerned you might be for
00:00:24
this thing called consumer leverage
00:00:26
exposure. So here's the backdrop. If you
00:00:28
look at the current level of consumer
00:00:30
debt in relation to their earnings,
00:00:34
um let's say people decided to pay off
00:00:36
their debt. If they started paying off
00:00:39
today and they did nothing else than pay
00:00:42
off their debt, no food, no new
00:00:46
clothes, no uh lattes at Starbucks,
00:00:49
nothing except paying off their debt. It
00:00:52
would take the average consumer 16
00:00:54
months to pay off their debt. That's how
00:00:57
horrendous this consumer debt is. From
00:01:01
the point of view of business, uh the
00:01:03
problem is that uh uh most of the growth
00:01:06
that we've had in the last few years uh
00:01:08
in the last decades has basically been
00:01:11
being by persuading consumers to buy
00:01:14
more and more on credit. And if you're
00:01:16
in a business that where a large
00:01:18
percentage of your revenues come from
00:01:20
sales to consumers,
00:01:22
uh, as people start to run out of their
00:01:25
credit and as they start to tap out
00:01:27
their credit, uh, as they in fact start
00:01:29
to act responsibly and cut back on their
00:01:31
purchases on credit, what they're doing
00:01:33
is they're cutting back on purchases of
00:01:35
your
00:01:36
company. So, uh, even if people behave
00:01:39
in a more responsible way, it's going to
00:01:41
come back and it's going to impact
00:01:42
companies. Now, not all companies are
00:01:45
going to be equally impacted by this. If
00:01:48
you happen to be somebody who sells
00:01:49
furniture, for instance, and your
00:01:52
strategy is to tell people to take the
00:01:54
furniture and put it in their home and
00:01:55
they don't have to pay you for the next
00:01:56
5 years, you know, you're in big trouble
00:01:59
if people start to scale back because,
00:02:01
you know, this is what's driving your
00:02:03
business. If you happen to be selling uh
00:02:06
you know uh let's say uh aircraft
00:02:08
engines, there's a not a hell of a lot
00:02:11
of consumers that are going to be able
00:02:12
to uh you know come come use credit to
00:02:15
buy aircraft engines from you. So this
00:02:17
is tends to be industry specific. But
00:02:19
there's another scary thing that's uh
00:02:21
behind this and I won't talk about this
00:02:23
today. we just don't have time. And that
00:02:25
is if you're selling to somebody and
00:02:27
they in turn are selling to consumers
00:02:29
and those consumers start to cut back on
00:02:31
their credit that means their sales will
00:02:33
drop which means it's going to domino
00:02:35
back to you. So this problem of consumer
00:02:37
credit being reduced uh sales being
00:02:40
reduced in consumer credit is going to
00:02:42
impact a lot of people and uh you know
00:02:46
what I'm concerned about here is firstly
00:02:48
that firms should begin to assess just
00:02:50
what their exposure is and that's what
00:02:53
the tool is all about is to give them a
00:02:54
sense of what the exposure is to it and
00:02:56
then secondly to begin to start taking
00:02:58
actions now uh before the tsunami hits
00:03:02
uh to do something to limit the exposure
00:03:05
or control the exposure to to reductions
00:03:07
in consumer credit. So, that's what the
00:03:09
little tool is all about. And once
00:03:11
again, the idea is we want to be able to
00:03:13
give you something that's u easy to use
00:03:16
and and free. It's not going to cost
00:03:18
anything. Uh in the hope that it'll help
00:03:20
people who are in in businesses to begin
00:03:22
to anticipate uh something that's
00:03:24
coming, you know, down down the road.
00:03:26
And my fear is that it will come down
00:03:29
the road fairly soon.
00:03:31
Um, I'm going to characterize what we're
00:03:33
saying by by by hoping either that'd be
00:03:36
wrong or that uh if we get the message
00:03:39
out and people use it and they can be
00:03:41
begin to take collective action uh it
00:03:44
won't happen at all. Because to me the
00:03:46
definition of a truly good prophet is is
00:03:49
these are the people whose prophecies uh
00:03:51
don't come true because they the
00:03:53
prophecy itself uh created conditions
00:03:56
for people who say something like man we
00:03:59
can't let this happen so it doesn't
00:04:00
happen. So here we see uh this little
00:04:03
company has a consumer division that's
00:04:05
selling about $60 million a year uh uh
00:04:09
and that's credit sales of 40 and cash
00:04:12
sales of 20. And we have a business
00:04:15
division which has got about $40 million
00:04:17
a year as well. But the key thing is the
00:04:19
credit sales. And in addition to this,
00:04:22
at the moment, the company's fat, fat,
00:04:23
and happy because it's got zero consumer
00:04:27
defaults. The credit crunch starts to
00:04:30
bite. Uh, as we see already, credit
00:04:33
companies are scaling back on the amount
00:04:34
of credit they'll give
00:04:36
people. Consumers are getting tapped out
00:04:39
and have kind of used up as much credit
00:04:41
as they possibly can get. And so now
00:04:43
what's going to happen one of the big
00:04:45
problems and this is on the second
00:04:47
graphic we see here is uh that uh you're
00:04:51
going to start to impact what we call
00:04:52
the consumer leverage exposure CLLE the
00:04:56
top of the chart sort of shows you the
00:04:57
derivation if you wanted to go through
00:05:00
this uh you could probably look in the
00:05:02
Excel spreadsheet but it basically says
00:05:05
is that this company the way that it
00:05:06
credit structured credit sales is
00:05:08
structured to consumers in relation to
00:05:10
the overall sales is 50% % exposed to
00:05:13
consumer
00:05:14
leverage. That basically means that very
00:05:17
small changes in consumer credit
00:05:19
behavior is going to impact 50% of the
00:05:22
operating income of this company. That's
00:05:25
a lot of
00:05:27
exposure. And uh if you look at the
00:05:29
financial metrics uh which are going to
00:05:32
change as credit changes, you see the
00:05:34
company's currently got a gross profit
00:05:36
of about 75% an operating profit of
00:05:39
about 20% margin and total leverage of
00:05:42
two times. So they're in a good position
00:05:44
to keep on paying off the bank. But now
00:05:47
what happens let's have a look at the
00:05:49
next graphic is uh consumers cut back
00:05:53
either because they tapped out of credit
00:05:56
uh or because they can't get any more
00:05:58
credit but the way it manifests you and
00:06:00
your company is they stop buying from
00:06:02
you. So maybe the credit companies are
00:06:05
absorbing the risk but you're the one
00:06:07
that's going to be losing the revenues
00:06:08
because they're just not buying anymore.
00:06:10
And so what we see when that happens on
00:06:13
the next chart is that if you have a
00:06:15
credit cut back and no defaults yet,
00:06:18
just a credit cut back, uh you're going
00:06:20
to see a 25% reduction of your operating
00:06:23
income and a 33% increase in your
00:06:26
leverage. So that means you're making
00:06:28
less money. And not only that, but uh
00:06:32
your capacity to pay paid back the bank
00:06:34
is now starting to evaporate. So you're
00:06:37
getting exposed by reductions in profits
00:06:39
plus an increased exposure to the bank
00:06:41
coming in and taking over your business
00:06:44
and and you know this company needs to
00:06:47
start to become seriously concerned. Now
00:06:50
let's key in uh on the next chart uh
00:06:53
suddenly people start defaulting and
00:06:55
those people to whom you issued credit
00:06:59
uh start to default and 10% of them do
00:07:02
so. Well, what that does on the next
00:07:05
chart is it shows you that the default
00:07:07
rate of only 10% is going to mean you're
00:07:10
going to make 20% less profits and it's
00:07:12
going to increase your leverage once
00:07:14
again exposing you to having the bank
00:07:16
come in and take your business away from
00:07:18
you. So, there's two sources of of
00:07:21
danger from consumer leverage exposure.
00:07:24
One is that you make less profits and
00:07:25
less cash flows. And the secondary
00:07:27
effect of that is you get more and more
00:07:29
exposed to uh you know insolvency or
00:07:32
bankruptcy yourself because you can't
00:07:33
pay your debts. And uh so so run these
00:07:37
numbers, put them in, see what happens.
00:07:39
And if you start to get pretty big
00:07:40
numbers, uh let me make uh make the
00:07:43
observation that one of the key things
00:07:45
that you should begin to do today is to
00:07:48
resegment your customer base with
00:07:51
respect to their capacity and their
00:07:53
willingness to incur and pay off debt.
00:07:57
So, you know, we're not just looking at
00:07:59
gender and race and location and all the
00:08:01
other dawn demographic things we
00:08:03
normally do with customer segmentation,
00:08:05
but start to look at whether people are
00:08:07
going to pay their debt debt off or not.
00:08:08
Let me give you an example of kind of
00:08:10
three segments that pop out of this. One
00:08:12
is a segment of customers who buy on
00:08:15
credit. They're still going to keep
00:08:16
their credit. They're going to be able
00:08:18
to finance their credit and they're
00:08:20
perfectly happy. You should be, you
00:08:22
know, aggressively looking at what can I
00:08:24
do to keep those people loyal to me
00:08:26
because they're the ones that going to
00:08:27
keep on paying your bills. The second is
00:08:30
the group that are sort of what I would
00:08:31
call honest Joe's and Jones. Uh these
00:08:34
are people that would love to pay off
00:08:35
their credit but they simply can't. we
00:08:38
need to find ways of making it easier
00:08:39
for them
00:08:41
uh or uh to find ways of making sure
00:08:44
that uh you know they just can't we we
00:08:46
we don't have uh any further exposure to
00:08:49
them and then the last group are the
00:08:51
people that will keep on running up
00:08:52
their credit as high as they can and
00:08:55
then turn around one day and say well
00:08:56
I'll see you in court and those are the
00:08:59
last kind of people that you want. So,
00:09:01
we need to begin to go beyond just
00:09:02
simple demographics now and start to
00:09:04
layer in the consumer debt behavior uh
00:09:08
demographics, trying to find as many
00:09:10
people as we can who willing to switch
00:09:12
from credit to cash sales by giving them
00:09:14
incentives and trying to find segments
00:09:17
that uh will keep us alive and minimally
00:09:19
impacted by the tsunami that's headed
00:09:22
our way. Some of the incentives that uh
00:09:25
one might try to follow is to say to
00:09:27
someone when uh they come and try to use
00:09:29
their credit card is to say well we can
00:09:32
give you a discount you know if you're
00:09:34
willing to pay cash because I'd rather
00:09:36
give somebody a modest discount to pay
00:09:39
for cash than have to see them in
00:09:40
bankruptcy court when they bought from
00:09:42
me on credit and now you know unable or
00:09:44
unwilling to pay me. So that's one of
00:09:46
the ways that you might want to do it is
00:09:49
to migrate the u migrate purchases to
00:09:52
cash. Uh the second as I've mentioned is
00:09:55
to really spend some time deeply
00:09:57
understanding uh the people who will
00:10:00
continue to pay you because you know the
00:10:02
if you go back to our original chart
00:10:04
there what we had is a sort of generic
00:10:06
40% of the people are buying on credit.
00:10:08
The question is which kinds of people
00:10:10
are buying on credit? people who can or
00:10:12
willing to pay the those who you know
00:10:14
who can't and those who won't and and
00:10:16
and and you know really begin to work
00:10:18
strategies to go after the the most
00:10:21
important ones for sustaining your cash
00:10:24
flows. Find incentives for them to do
00:10:26
it. U find ways of encouraging them even
00:10:30
if they buy on credit and they can and
00:10:32
will pay to you know to give them more
00:10:33
credit. But you want to give the right
00:10:35
people credit and not just everybody
00:10:37
credit.
00:10:39
[Music]

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Episode Highlights

  • Consumer Debt Crisis
    The average consumer would need 16 months to pay off their debt, highlighting a serious crisis.
    “It would take the average consumer 16 months to pay off their debt.”
    @ 00m 52s
    December 17, 2009
  • Impact on Businesses
    Responsible consumer behavior could lead to significant revenue losses for companies.
    “Even if people behave responsibly, it’s going to impact companies.”
    @ 01m 41s
    December 17, 2009
  • A Call to Action
    Businesses must assess their exposure to consumer credit and take proactive measures.
    “We need to begin to go beyond just simple demographics now.”
    @ 09m 02s
    December 17, 2009

Episode Quotes

  • It would take the average consumer 16 months to pay off their debt.
    Professor Ian MacMillan: Measuring Consumer Leverage Exposure
  • Even if people behave responsibly, it’s going to impact companies.
    Professor Ian MacMillan: Measuring Consumer Leverage Exposure
  • The definition of a truly good prophet is those whose prophecies don’t come true.
    Professor Ian MacMillan: Measuring Consumer Leverage Exposure
  • We need to begin to go beyond just simple demographics now.
    Professor Ian MacMillan: Measuring Consumer Leverage Exposure

Key Moments

  • Consumer Debt Severity00:52
  • Business Impact01:41
  • Proactive Measures09:02

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Vibes Breakdown

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