Supply and Demand and Slot Machines
The following paper was prepared by Mary Jurica and published in the March 1981 issue of Gaming Business (now IGWB). This was the beginning of the slot machine revolution that now dominates gambling and casinos.
By Mary E. Jurica
In 1976 it was rumored that a small casino operation in
Las Vegas had dared to market its slot machines by lowering hold percentages and
increasing substantially the number of dollar slot machines on the floor. Soon after, a
resulting request was made to Kafoury, Armstrong & Co. for a reliable method of
evaluating mix alternatives. Out of that research came the development of supply and
demand as it relates to slot machine mix.
The
casino industry has found that to optimize the profitability of a particular mix of slot
machines, a myriad of elements must be examined. These elements consist of at least five
different coin denominations, varying numbers of each, and an array of machine types
and sizes multiple coin, progressive, wide reel machines, etc. each with a
unique hold percentage. Changes in slot mix are extremely important to gross gaming
revenue. Yet mix changes are often based purely on observation or on adjustments which
duplicate existing slot mixes in the area.
The community of slot managers rely heavily on each other and machine vendors to decide optimum slot mix, including decisions on denominations to offer, most popular types and hold percentages accepted. A comment by one slot manager that 50-cent machines are really taking off can result in a rumor carried by machine vendors from one casino to another. Managers of expanding casinos are influenced by the rumors and increase the number of 50-cent machines they purchase. Vendors are selling more 50-cent machines, and the rumor is perpetuated until finally it is counteracted by an opposing comment 50-cent machines just cant be marketed successfully.
1The words supply and demand
are used in a strictly vernacular sense, and not as they are used for the study of
economics.
There is no
problem representing slot machines or slot mix quantitatively; the difficulty, in fact, is
in the interpretation of the many measures available. For example, a casino with 120
slot machines has this information available for analysis (Refer to Table 1).
Table 1.
(1) |
(2) |
(3) |
(4) |
(5) |
(6) |
(7) |
(8) |
|
|
Percent of |
Win Percent |
|
Total Win |
Percent |
Percent |
5¢ |
50 |
41.7% |
18.5% |
$ 5,210 |
$ 260,500 |
21.3% |
13.5% |
10¢ |
17 |
14.2 |
22.0 |
6,990 |
118,830 |
9.7 |
25.9 |
25¢ |
28 |
23.3 |
19.7 |
10,100 |
282,800 |
23.1 |
18.5 |
50¢ |
5 |
4.2 |
20.4 |
7,880 |
39,400 |
3.2 |
55.7 |
$1 |
20 |
16.6 |
5.8 |
26,190 |
523,800 |
42.7 |
53.7 |
|
120 |
100.0 |
|
|
$1,225,330 |
100.0 |
|
The casino
manager has the following facts to weigh in support of a decision to change (or increase
without change) his current slot mix:
· Dollar machines have earned more for him five times as much per machine as the 5-cent denomination; see column (5).
· A marketing decision is being considered to increase the number of dollar machines to 25 percent of the machine mix. That represents a large increase over the current 16.6 percent; see column (3).
· In spite of their small numbers, the dollar machines contributed 42.7 percent of the total slot revenue last year; see column (7).
· Yet, dollar machines hold only 5.8 percent of total play, thus requiring over three times the amount of dollar play as a 5-cent machine to win an equivalent amount; see column (4).
· The largest increase in unit win on a machine occurred in the 50-cent machines; see column (8).
·
Ten 5-cent machines were added during
the year. The unit win increase might otherwise have been higher; see column (8).
Can the
logic trade-offs implied by these facts be identified?
Experience has shown the need to concentrate on three major areas: 1) the win per unit, in order to maximize (in
numbers) those machines that win the most; 2) the desired marketing style, to keep mix
changes consistent with that style; and 3) identification of and satisfaction of public
desire as to the machines (denomination and type) that they want to play, thus maintaining
and promoting increasing volumes.
This article
addresses the last elementthe one normally missing in the information dilemmas
presented abovepublic demand. The
technique to be introduced in the following paragraphs will allow the casino owner to
identify his customers desires, or demand, and the adequacy of his current mix, or supply, in satisfying that demand.
Supply and
demand in an economic sense have always been used as reactor measurements to price
changes, with the presumption that supply attempts to satisfy demand (at an acceptable
price). Casinos, however, do not have the inherent ability to raise the price of a slot
machine. A 25-cent machine has, since its
inception, cost 25 cents to play. Even though
a multiple coin machine, of 25-cent denomination, allows a player to pay $1.25 for one
handle pull, there is no necessity to do this. He can continue to play from one to five
coins, as he elects. Therefore, even this machine type cannot be interpreted as an
increase in price. Likewise, the current trend in Nevada is for the slot mix to contain
a greater percentage of $1 machines; but this in no way forces a slot player to play that
denomination in preference to a 5-cent or 25-cent machine.
The increased
popularity of the multiple coin and dollar machines in a trend consistent with the
existing inflationary cost/value situation in our economy; successive demand
measurements will bear out such a trend.
Assume the ideal condition. Each machine on the floor is equally as popular and played equally as much as every other machinea condition that we call equivalent play. Slot win in dollars under these theoretical conditions is computed as follows; the result shown below is supply.
|
|
|
|
|||
5¢ |
50 |
$46,250 |
11.9 |
|||
10¢ |
17 |
37,400 |
9.6 |
|||
25¢ |
28 |
137,900 |
.35.1 |
|||
50¢ |
5 |
51,000 |
13.1 |
|||
$1 |
20 |
116,000 |
29.9 |
|||
|
|
$388,550 |
100.0 |
|||
By definition, these percentages represent the relative contribution, which would be made by each denomination in the casino, if each slot machine were played equivalently (i.e., received an equal number of coins-in). Intuitively, the percentages represent the mix of denominations supplied to the public.
Actual demand, by the slot players in a casino, culminates in actual slot win in dollars. Taking the same casino with 120 machines and the latest win per machine in dollars, the actual demand for a particular denomination machine results in the following:
Table 3 Demand
|
Number of Machines |
Total |
Contribution |
||
5¢ |
50 |
$260,500 |
21.3% |
||
10¢ |
17 |
118,830 |
9.7 |
||
25¢ |
28 |
282.800 |
23.1 |
||
50¢ |
5 |
39,400 |
3.2 |
||
$1 |
20 |
523.800 |
42.7 |
||
|
|
$1,225,330 |
100.0% |
||
Supply |
Demand |
(1) mix of denominations |
mix of denominations |
(2) hold percentage of machines* |
hold percentage of machines* |
(3) equivalent coins-in |
actual coins-in |
*For a more meaningful comparison of supply and
demand, the actual hold percentage being produced, by denomination, is used in this
computation rather than theoreticalthus precluding any differences due to variations
in the computation of theoretical hold percentages.
The one element
isolated for comparison is the number of coins-inthe final important indication of
public desire. Obviously, the only machine
denomination being supplied in the quantity that the public wants is the 10-cent
denomination. The 50-cent and 25-cent machines are oversupplied and the 5-cent dollar
machines are undersupplied.
Demand should
not be applied directly, but should be used to monitor the trend of the public by
denominations and the success (or lack of) in selling the mix currently
offered. The message in the supply and demand graph, which promises the profitable
results, is the evident demand for dollar machines. Since they earn, per machine, up to
five times as much as other denominations, their numbers should definitely be increased,
at least to demand levels. In this case, such an adjustment will raise annual slot revenue
expectations $362,837, an increase of 29.6 percent.
The mix adjustments and earning increases presented below assume the same number of coins in per machine and ignore the positive marketing impact of offering slots the public wants to play.
Table 4 Slot Mix of Total Slot Machines
|
Original |
Demand |
||
5¢ |
41.7 |
41.7% |
||
10¢ |
14.2 |
14.2 |
||
25¢ |
23.3 |
16.6 |
||
50¢ |
4,2 |
3.3 |
||
$1 |
16.6 |
24.2 |
||
|
100.0% |
100.0% |
||
Slot Win |
$1,225.330 |
$1,588,167 |
||
Suggestions for further usage of supply and demand and ancillary factors to be considered are offered here.
These
represent considerations discovered during continuing applications of this
technique:
1) Evaluation can be made of the popularity of machine by types as well as denominations using this technique. The internal hold percentage by type of slot machine is not readily available in existing slot systems; this has prevented, to date, a supply and demand analysis by type.
2) Comparison of slot win resulting from one month of play in two of the Atlantic City casinos in operation reveals a dramatic difference in demand for dollar machines. ... Caesars dollar-slot handle [coins-in] per machine was less than half that of Resorts, according to Dean Witters report for August, 1979.
3) A false demand can be created from the practice of giving out coupons to certain customers-coupons, which result in free nickels or free dollars, for example. These factors must be considered in analyzing results and/or fluctuations.
4) As the case study illustrates with the 1979 supply and demand relationship, it does not automatically follow that a client must match the measured demand with his supply. On the contrary, a decision to exceed supply in order to push up the win per machine on one denomination and cause potential growth in demand for largeunit win machines may increase overall profitability. Whether or not marketing decisions, such as this, work as anticipated can be monitored through periodic analysis of supply and demand.
5) Deliberate trade-offs in machine mix can be made and by knowing the changes caused in demand, the amount of slippage in win per unit can be monitored to prevent any revenue loss.
_._