Product Design
Further Evaluation of Delivery Information Influence on Subjective Acceptability of a Low Delivery Cigarette
Abstract
Describes how providing smokers delivery information influences the acceptability of low delivery cigarettes. Finds delivery level disclosure influences acceptability primarily in: females in the 35 plus age bracket, "health smokers," and smokers who smoke 30 or more cigarettes per day. States "a real marketing advantage is gained by calling attention to the delivery values of low delivery cigarettes."
User-Contributed Notes
Fields
- Author
- Martin, Peggy L (PM State Gov. Relations Director)1994
- Schori, T.R. (BW Divison Mgr. of Consumer Research for '79-80)
- Recipient
- Budne, Thomas A. (PM Product Assurance and Statistical Services Manager)
- Claflin, Warren E. (PM R&D Engineer, Process Development)Defense; Associate Principle Scientist
- Daniel, Harry G. (PM R&D Planning Coordinator c. 1975-82)Research Professional
- Daylor, Frank L. (PM Gen. Products Development. Mgr., R&D)Was involved in flavor development for Philip Morris; worked for PM Research and Development in Products Development 1962-93.
- Fagan, Raymond (PM Principal Scientist c. 1968-83)Principal Scientist at Philip Morris Research Center in Richmond, Virginia, between around 1968-84.
- Gannon, Walter F., Ph.D. (PM New Product Development Dir.)Defense
- Houck, W. G.Associate Professional
- Howes, RobertTechnician
- Johnson, Myron (PM Consumer data/research dept.)Mr. Johnson worked for Philip Morris, Inc. He provided consultative aide to Barbara Forrest, particularly in a development of record forms, instruction sheets, and data treatment procedures for the SEX-2 Study as written by him on March 3, 1969. The basic question to the SEX-2 Study was "To what extent is daily smoke intake a function of the cigarette smoke?" Mr. Johnson is also to co-write the final report. (UCSF000083-85)
- Jones, Barbara W. (PM Behavioral Research Asst. Scientist, 1974)Assistant Scientist at Philip Morris working on the Behavioral Research Program in 1974.
- Levy, Carolyn J., Ph.D. (PM Youth Smoking Prevention Sr.VP (1998-2002))Carolyn Levy is a long time Philip Morris scientist who has intimate knowledge of smoker behavior, psychology and PM's addiction studies. Studied and reported at PM on smoker psychology, 1974-75. Studied the role of nicotine in reinforcing smoker behavior in 1976 (1003293201). Levy also has knowledge of the importance of the youth market to future cigarette sales. In a Mar. 31, 1981 PM report Levy wrote, "Today's teenager is tomorrow's potential regular customer...The smoking patterns of teenagers are particularly important to Philip Morris." (1003636640) Appointed Assistant Director of Consumer Research at PM in 1988; Sr. VP Marketing and Sales Information in 1995; Was Sr. VP of PM's Youth Smoking Prevention Programs 1998.
- Meyer, Leo F. (PM Research Director, scientist)Defense
- Osdene, Thomas Stefan, Ph.D. (Director of Science and Technology, Philip Morris [1986])Ph.D. in Organic Chemistry. Ten years of research when he started with PM in 1965. Worked in Chemical Research Division of PM 1965-66; Chemical and Biological Research Division 1966-69; Director of Research 1969-1984, also assumed independent position as Director of Research and Extramural Studies during these years; became Director of Science and Technology in 1984, reporting directly to Philip Morris USA Executive VP Mark Serrano. Involved with Center for Indoor Air Research (CIAR) 1988. Attended PM's Operation Downunder Conference in June, 1987. Retired 1993.
- *Resnick, Frank E. (Use Resnik, Frank Edward) (PM Research Manager, c. 1966)Philip Morris Research Manager, 1966
- Ryan, Frank J. (PM Scientist)Philip Morris scientist (circa 1973), developed smoker puff-profiles, compiled data on compensation and lip occlusion of ventilation holes. Associate Senior Scientist with PM, c. 1987.
- Seligman, Robert B. (PM VP of R&D c. 1976-82)Vice President of Research and Development at Philip Morris Richmond, VA 1976-1982. Reported to Senior Vice President of Operations. In 1982 transferred to tobacco technology group. Wanted to share ammonia and other tobacco technology with PM International companies.
- Thomson, Richard N. (PM Development Director, scientist)Defense
- Udow, Alfred (Consumer Research Dept., PM c. 1972)PM Consumer Research and Marketing Departments. Famous for intemperate written comments. Told the truth.
- Wakeham, Helmut R. R., Ph.D. (PM R&D VP)Vice President and Director of Research & Development, Philip Morris
- Hypothesis
- Behavior TargetingCigarette's effect of enhancing/mitigating specific behaviors
- Low-yield cigarettesModification of low yield products to assure that adequate levels of nicotine delivery are maintained, and effects of yield changes on toxicity and dependence.
- Measuring human smoking behaviorMeasuring the effects of changes in human smoking behavior on intake of nicotine and smoke constituents.
- Smoking psychology and behavior
- Use of tobacco processing/ blendsModification of tobacco products through changes in tobacco processing and use of blends, and measuring effects on dependence, behavior, and toxicity.
- Keyword
- Attribute perception ratings
- Consumer acceptability (Consumer preference)
- Daily intake
- Human testing
- Low delivery (Reduced delivery)
- Nicotine delivery (Smoke nicotine or nicotine yield)
- Perception of draw
- Puff count
- Strength attributes
- Smoke Constituent
- Nicotine
- Total particulate matter
- Design Component
- Butt length
- Circumference
- Porous tipping paper
- Pressure drop (PD, Resistance to draw (RTD), Flow rate or Draft)
- Static burn rate
- Tobacco density (Blend density, rod density)
- Tobacco weight
- Named Organization
- Product Opinion Lab (industry-funded)
- Federal Trade Commission (Enforcement agency for laws against deceptive advertising)Enforces laws against false and deceptive advertising, including ads for tobacco products. Ensures proper display of health warnings in ads and on tobacco products;collects and reports to Congress information concerning cigarette and smokeless tobacco advertising, sales expenditures, and the tar, nicotine, and carbon monoxide content of cigarettes.
- Subject
- Blends (Design)
- Effects—Smoking Behavior (Effects)
- Low Yield Cigarettes (Products)
- Pressure Drop (Design)
- Puff Count (Measures)
- Smoke Nicotine (Measures)
- Test/Consumer Preference (Testing)
- Test/Smoking Behavior (Testing)
- Brand
- Marlboro (PM)
- EXPERIMENTAL
Document Images
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' CONFIDEMTIAL
RTHER EVALUATDON OF DELIVERY
INFORMATION INFLUENCE ON'
BJECTIlVE ACCEPTABILITY OF A
LOW DELIVERY CIGARETTE
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Accession No. 76-079
Copy No.
.
Issued To
PHILIP MORRIS U,Sa AR E S E A R C H C E N T E R
CHARGE NO. & TITLE: 1600 - Smoker Psychiology
TYPE REPORT: OANNUAL OSEMIANNUAL a COMPLETION
DATE: May, 1976
REPORT TITLE:
PERIOD COVERED:
CONFlDENTIAL
FURTHER EVALUATION OF DELIVERY
INFORMATION INFLUENCE ON
SUBJECTIVE ACCEPTABILITY OF A
LOW DELIVERY CIGARETTE
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WR I TTEN BY c CC / a
0
y
- ~61LG. Martin- and
APPROVED BY
DISTRIBUTIO : ~
H . a kl~d~.D
R. Seligmar~_~,
W. Gann~on ~'
T. Osdene
R. ThomsonGJLJJ'
R. FaganCLQ-9
F. Daylor
KEYWORDS:
William L. Dunn;
L. Meyer J-L10
H. Daniel
W. Claflin
M. Johnston
W. Hiouck.
F. Ryan
B. Jones -~~
T. R. Schor_i
ti_
;.
R. Howes
C. Levy
T. Budne - NY
A. U d o w - N'Y a~
Day File (2)
Central Fi l e (2)
IndexerC{11;0
Acceptability Enhancement, 9 mg Tar,
Strength Suggestibility

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Cigarettes at two delivery levels (15 mg and 9 mg) were rated
oniacceptability and strength by National POL nonmenthol smokers.
delivery informatilon upon the subj'ective rating,s of cigarettes at
ballots. The purpose of the test was to determine the effect of
nicotine delivery levels clearly marked on the packs and on the
One panel of 500 rated the cigarettes with no delivery information
supplied. A second panel of 500 rated the cigarettes with tar and'
two distinctively different delivery 1'~evels.
. _ ~.
With no delivery information provided, both cigarettes were jud'ged
equally acceptable; when the delivery information was provided the
.9 mg cigarette was rated more acceptable than the control ci'garette::
Females in the 35+
b
k
t
h
lth
an
''
age
rac
e
,
ea
smokers, and those p
elists
smoking 30+ cigarettes/day were most influenced when given the
delivery information. Males and regular filter smokers rated the
cigarettes_equally acceptable in both conditions.
The importance of the delivery information is further emphasizedi
in the ascribed strength ratings. Females and health filter
smokers judged the cigarettes as being significantly different
in strength in both conditions, but contrary to normal expecta-
tions they did not judge the weaker cigarette as more acceptable
when the cigarette deliveries were withheld. Since the only
variable that is changed is the presentation,, the concliusion is
that specific delivery identification iis more important to these
smokers thanipreviously estimated."
The practicall impliication of these finding,s is that a real marketing
advantage is gained by calling attention to the delivery values of
low delivery cigarettes, the effect being greatest among those
smokers already most li,kely to buy the low delivery ci,garette.
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I N T R 0 D U C T I 0 N11 1 ,
This study-is the fourth_i:n a series of studies of the accepta-
bility of low deli'very cigarettes relative to regular filter
cigarettes among nonmenthol smokers.
The first test was the Marlboro vs. four cigarettes of less than
10 mg delivery and varyin,g RTD's. R&D and RP3 panelists rated~
all three of the low delivery ciigarettes as acceptable as the
Marlboro control (Accession No. 74-054)1. In the second test,
;,,;..received the same cigarettes, with d'ifferent ballots for each
delivery Tevels. Three independent groups of paneliists from RP3
and strength ratingis of two cigarettes differing markedily in
.one of the experimental models from the first test was chosen to
be run against a Marl'borolconitrol. The purpose was to determine
in what manner tar delivery information influences acceptability
group: (1!) nolinformation....the standard blind comparison ballot;
(2) true information...the Marlboro was i'denitified as a commercially
available full-flavored cigarette and the experimental cigarette
as full-flavored but lower in delivery; and (3), fal'se information:.:
:
the Marlboro identified as lower in delivery and the experimental
. :f
as the commercial full-flavored cigarette. Our findings fromithis
test (Accessioin No. 75-003) were that when information was supplied
to panelists it did affect their acceptability ratiings; the
Marliboro beingirated higher in acceptability under the blind test,
but not more acceptable when iinformation, either true or false -
was supplied. A third test was canceled when an incorrect ballot
was i nadvertantly set out wi th the ci garettes .
10003630
45
In the present study we used two POL National panels of across-
the-board nonmenthol smokers. Only two presentations were used:
(1) the standard' blind'comparison ballot with alphanumeric codes;
and (2) the information ballot, where approximate deliveries of
each of the cigarettes was given. (18 mg "tar," 1.3 mg nicotine
for the Marlboro and 10 mg,"tar,"' 0.7 mg nicotine for the 1ow
delivery model.) Panelists were
acceQtabi]ity and strength.
asked to rate each cigarette on

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M E T H 0-DS -1
g es
The Ci' arett = ~
3
Specifications for the cigarettes were targeted to be the same
as those used in RP3'-3512 (D4ANW & D4ANX); a Control Marlboro
and an experimental low dellivery cigarette at 10 mg tar, 6" RTD,
With no more than 20% air dilution. The critical val'ues of the
supplied cigarettes are summarized below:
" Marlboro Experimental
Tar (mg/cigt.) 14.8 8.9
RTD (in. of H20) 4.7 5.5
Dilution (~) None 23.0
For complete analytTcal data see Appendix A.
Pr-O.cedure
The test was mailed to two panels of 500 each. These were
across-the-board,nonmenithol smokers (both fil'ter and nonfilter)
from the POL National Panel. Five hundrediof the panelists
(the Blind group) received a stand'ardi°blind" pai'red' complarison
ballot, the other five hundred panelists (the Information group)
received a ballot identifying, the cigarettes as delivering 18 mg,
"tar," 1.3 mg n1cotine (the control') and 10 mig "tar," 0.7 mg
nicotine (the experimental). Presentatilon was balanced for both
groups; in the i'nfoirmation group half of the panielists were asked
to smoke the 18 mg tar cigarette first; the other half smoked the
10 mg tar cigarette first. _
The maiilout was a split carton (,5 packs/5 packs) of the two ciga-
rettes. Panelists were asked toismoke one of the cigarettes and
rate it oniacceptabilityl and strength2 before smoking the other
cigarette. See ballots in Appendix B.
11=dislike extremely to 9=1ike extremely
i=extremely weak to 9=extremely strong

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R'E S U L T SI I I
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Acceptability Ratiings
Table 1 in the computer printouts shows the acceptabili,ty rating
means and "t" test probabilities for the combined tests and various
subgroups by the presentation received.
One thing to note in the table is that the 9 mg cigarette.- with
few exception!s - had the higiher mean rating of the twoIcigarettes
even when they were judlgied equally acceptable. The effect that
delivery information has in influencing smokers' evaluations can
be seen by the fact that the two ci'garettes were judged equall1y
acceptable by the total panel when no information was given and
the 9 mg cigarette was judged significantly more acceptablewhen
identi fi ed as hiavi ngi l ess `tar" and~ni cotiine than the control
Marlboro. The categories of smokers who were most influencedlinn
their acceptabiiity ratings by the information were females,'
ages 35+; health filter smokers, and those who smoke 30+ cigarettes/
day. The informationidid not have an effect on males, regular ~
filter smokers, and those smoking less than 30 cigarettes/day. C
- - ~ GJ
The interactions in the acceptabiJity ratings betweenithe two ~
G.:
cigarettes, the two presentations and, severaT variables are ~,
illustrated in the following graphs. A-i shows the initeraction ~
of presentation by cigarettes among males anId femal'es. The type
of cigarettes that the panelists reported smoking are-the variables
in graph A-2: ("Type" refers toiregul'ar or health filtered
cigarettes.) Graph A-3 shows as variables the different consumption
rates - <20 cigarettes/day, 20-29 and 30+.
' -._...
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11

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wrl .
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SCALE NAMt e ACCEFT IEj I I I TY
BOTH PkLSENTATIdNS
bL INf; phE SENTAT I5n
INFORMAT 1UN PHESENTATI6N
MALES, dd'TH PkESErTATItir`S
BLINU
INFoKMAT ION
MALES, AGES 1dw34
dL1NC
INVaKMATTbN
MALES, AUtS
5L I r~L'
INFjKrlATTdN
FtMALES, ut+TN PkESENTATI6NS
BL I NL
INFuKMATTON
FE.MALLS, .+GLS 1b-34
E: L I N G
INF UHMAT 1EiN
FE,01ALtS, AGES 3b+
bLIN[:
INFOFiMAT 16N
TAdLE 1
RATING SCALE
1=DISLIKE EXTREMELY TO 9RLIKE EXTREMELY)
NLiMbER
, MEAN SCALE RATINGS ,
' MARL 9 MG SE 6~ MEAN PHOg
489 5,43 5.78 .0800 .0Q26
e52 5.56 51,73 .1Q51 .2393
237 5.3Q 5.83 1212 0U26
267 5.51 5.71 *1112 +1b84
140 5.55 5.76 .1500 .3154
127 5.46 565 166p .5918
89 552 5.66 .19Qy .599d
42 5.12 5.48 .3122 .5713
41 5.93 5.85 .2186 +8092
184 5.5Q 5.73 .136ts .226b
98 5973 5,89 168J 5295
86 5.23 5.56 .2221 .3Q33
"c22 5.34 5.86 I 1145 .
.042t)
112 5.56 5.69 1447 .5w96
110 5.11 6,C3 1745 .CUC6
72 5.31 5.76 2157 .1336
37 557 i.t 5.7t3 249t3 .5513
35 5103 5.74 .3581 .1642
15C 5.35 ' 59 9C *1345 0q49
75 5.56 : 5.E4 ~ 1 785 7514
75 5.15 6.16 1952 90UG7
SVOMOOOT

ALL HtGULAk FILTEkS 311 b.63
oLlwl. 159 5.77
INVuriMATTdN 152 5.49
85MM kE:uuLAk FILTEfiS c5t) 5.69
5L1hU 135 5.79
INFukilATTUN 121 5.58
,.j MAFiLHclisd b5MM 120 582
RL I tvL' 66 6.05
I NF`tikMA T 10N 54 5.56
ALL HF.ALTM FILTLRS 143 5004
dLTr~0 73 5.19
INFukMATIt3N 7C 4.ii9
851"M htAL_ fH F ILTERS 140 5.07
ULINU 7L) 5.22
I NF cii1MA 1 1 bN 6$ 4'91
ALL H1HER CIGITS 35 5.20
bL[n,L` 2C 5.2C
INFbkMA1TON 15 5.2G
<20 CIGrTS/UAY 88 5.34
5L Tr.c 44 5.0G
INFtjkMATitiN 44 5.68
2Q"2y L_I Ei IT.'i/vAY 186 5.38
dLTNU 91 5.58
INF'dFiMATTdN 95 5.18.
30+ CIuITS/UAY 215 5-.51
L'LIi~L` 117 5.74
INF'uFii1AT TtiN 9ts 5.23
_
5.83 1034 .17p2
5.88 .1323 5532
5.78 14GJ 2UQ7
5.8C 111c 5214
5.88 91406 .6354
5.71 .1750 .6Q19
5.72 .1651 .6727
5976 91960 .3U3y
5.69 .2785 .7424
5.74 1409 0Q09
5.52 .2p41 .2574
5.97 .189% r0003
5.74 e1422 ,0U15
5.57' .2066 .2368
5S3 1917 .0GG7
5.43 261p .5467
5.30 .3158 .8197
5.6C .4516 .54%1
6.00 2085 .0263
5.77 315y 087;3
6.E3 I 2754 .1651
5.64 w 1268 .1495
5.64 .161L) .8055
5.E4 v 1942 0512
580 .117b .0757
579 1455 .8:3 13
583 1894 02//
STLCY NAML a flAi<LCt3kH VS 5MV C IG I To (HL INU AND INFBRMAT'i6N' PRESSNTATI6NS )
DATE ANALYSIS C:UMFLETEr - MAR ~3,T76
(;Vof:oEOOOi

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ACCEPTABILITY MEAN RATINGS
A-I MALE lFEMALE
9mg
MARL. 9 mg
FEMALE
A-2 TYPE OF CIGARETTE SMOKED
6.0 r BLIND
5.5
INFO
5.0
4.51
MARL. 9 mg
INFO
MARL. 9 mg
REGULAR HEALTH
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A-3 NO. OF CIGARETTES SMOKED PER DAY
6.5 r
< 20
9 mg MARL. 9 mg MARL. 9 mg
20 -29 30+
The effect of supplying delivery information~ with a cigarette is
that a low delivery cigarette becomes more acceptable to a
heterogeneous group of smokers, the effect being most pronounced'
g among femalle smokers and'smokers who regularly smoke
cigarettes.
"health"
Strength Ratinigs
Table 2 in the computer printouts shows the strenigth rating means
and "t" test probabilities.
Information about the deliivery levels of the two ci'garettes had a
very real' effect upon strength ratings.
Male panelists andl those smoki'ng 20 or more cigarettes/day judged
the cigarettes as being, equal in strength when smoking them in
the blind presentation. Femalies, regular and healith smokers, and
those consuming less than 20 cigarettes/day detected the strength
differences correctly withoult the delivery information.
