,:.. . c . . .. . . . . .. . . . . . . . ” . . . . - ..*J . . . . - . 4 - - - - - “-..... .- =.. . . - - - - - - # . HOW ADVERTISING WORKS: A PLANNING MODEL REVISITED I i :HARD VAUGHN IS senior ~ presldf?~t and research !.Wtor of Foote. Cone & $ddlng In LOS Angeles prior - mmlng FCB In 1978, he kas w!th Ralston Purina :~pany for 15 years in a ,, P:y of market!ng and re- ~2rCFt asswments$ ln.dlng research director of . * van Camp Sea Food DI ~wrr In San Diego. Over the rears, he has been tnvolved . ml! aspects of researching --?ducts and services for the .S marketplace, including PIoioratlon of consumer ,@ues and behavior tn rela‘t,xr to the economic climate. u, Vatighn attended . C L A and Occidental Col~e majoring In Philosophy vw Engltsh He was a ‘+?mber of the edltorlal reNW board of the Journa/ of V$’ke?)ng from 1974 through ‘:’8 and IS presently on the w.Iew board of the Journa/ 4 hc/ve</s, ng Research, In ‘“W he authored an adver~ t ng plannlng model which ‘ M been adopted worldwlde :! Foote, Cone & Beldtng. w=%. n response t[~ a need for strategic discipline and creati~’e stimulation durins a ci\’ertising planning, Foote, Cone & Belding explored and developed a comprehensive communication model (Vaughn, 1980). Building upon traditional consumer response theories (Kotler, 1965) and the hierarchy-of-effects model and its variants (Lavidge and Steiner, 1961; Robertson, 1970), this new model combined high-low involvement and leftright brain specialization. The result was a visually coherent and intriguing matrix (see Figure 1). The advertising planning propositions inherent in the quadrant~ in Figure 1 suggested that communication response would certainly be different for high versus low involvement products/ services and those which required predominantly thinking (left brain) or feeling (right brain) information processing. This map was not only intuitively appealing; it conveniently helped place Kotler’s consumer response theories in useful perspective and also provided niches for several low involvement models (Ray, 1973; Robertson, 1976) developed to explain consumer behavior which did not follow the learn-feel-do sequence of the basic hierarchy-of-effects. Now identified simply as the FCB Grid (Berger, 1985), this planning model d(’lineatcs four primary advertising planning st~-(~te~ics –-–’’i]lfor]l]a{ i”e,’” “af f~xiive,” “habitucll,” and “satisfaction,” with tht’ir mo$t appro- priate traditional and variant hierarch y-of-effects models (see Figure 2). Quadrant 1. The iYZ@wzatiZw strategy is for highly involving products/services where thinking and economic considerations prevail. The classical hierarchyof-effects sequence—awareness + knowledge -+ liking + preference -+ conviction + purchase— abbreviated to “learn + feel + do”—is the designated model for such big-ticket items as cars, appliances, and insurance. Quadrant 2. The aflective strategy is for highly involving and feeling purchases, those more psychological products fulfilling self-esteem, subconscious, and ego-related impulses requiring perhaps more emotional communication. A variant hierarchy putting “feel” before “learn” and “do” is the priority for such products as cosmetics, jewelry, and fashion clothing. Quadrant 3. The habitual strategy is for those low involvement and thinking products with such routinized consumer behavior that learning occurs most often after exploratory trial buying. This implies a responsiv-e, behavioral learning-bydoing. Although some minimal level of awareness may precede purchase, deeper learning is not necessary for such commodity decisions,as paper products, household cleaners or gasoline. Quadrant 4. The satisfaction strategy is for low involvcnlent/ feeling products, items of personal taste, “life’s little Journal of ADVERTISING RESEARCH— FEB’MAR 1986 ST ● Figure 1 Tt+INK FEEL s o I : i HIGH INVOLVEMENT : D : : - - - - - - - - - - - - - - - }-----”------””” I I : B LOW INVOLVEMENT : I D : t ! pleasures” such as beer, cigarettes, and candy. A social model is useful for many of these peeroriented items, and the hierarchy places “do” before “feel” and “learn” because product experience is so necessary a part of the communication process. Reaction to the grid was positive and enthusiastic. Despite, or perhaps because of, its simplicity manv advertisers accepted it as a prac~ical, creative way around the overutilization of the classical learn --+ feel -+ do hierarchy model in all advertising strategy planning. Even in its earliest applications, the grid: ■ helped organize available research and management opinions about category and brand placement in consumer involvement and think-feel terms; ● stimulated insightful questions and hypotheses about a product’s advertising options in the context of the competitive situation; ■ and brought previously unconsidered ernot~onal, nonverbal, and sensory strategic possibilities into legitimate contention with rational, verbal, and semantically more powerful suggestions. Because the grid managed to condense almost three decades of con>umer behavior theory into a practical format, it worked sur- prising]}’ well in a l’arit’t~’ of problen;-solving situati{}ns. It was even pointed out that the grid itself exemplified the unity of left-right brain con~plementarity in being bt)th ~’erbal and visual, thereb)’ ~’irtuall)’ c(lmpelling a ne~v w’a~’ of appn~aching str~tegic planning t(~r e~-c’n a long-establishcci product. It was also apparent, however, that some preliminary implications of the grid in several areas were premature if not unrealistic. For example, specific creative, media, and copy-test activities were proposed for each strategic quadrant before it was sensibly realized just how category or brand-specific such issues were, Also, think and feel were mistakenly viewed as independent rather than complementary and interrelated. One particularly flamboyant bit of generalization suggested that high involvement or think-oriented products would “NK , ‘L i WGH INVOLVEMENT lNFORM&TIVE (Erxmomfc) m---” - - - - - - - ,! - - HAEtlTUAL (Respcmswe) LOW involvement m-Lwm-FIA D lniwamO\2 Journal of ADVERTISING RESEARCH -- FEBIMAR 1986 n : , sAnsFAcTrQ (social) ~ oo-l%l.bm naturally decay over time to 10M involvement or feel. These impractical hypothese5 were abandoned during early, judgmental applications of the grid, but two questions did emerge which could not be ignored with grid experience: (1) Did the grid accurately depl real consumer involvement and think-feel dimensions? (2) Where were major product THINK t4tQH INVOLVEMENT -% : #. FCB U.S. Grid Study . 35mm ------. --= :0 Figure 3 .Ufe - (p&&::&, + ~ FarnIty -r carnera~ 8 D 8 : B : . Ccwnphbf’i ● M~CX oil : soap ● l%rfutna mstlng card , 58 \ Figure 2 FCB Grid Table 1 FCB U.S. Grid Study—Factor Correlations Involvement Think/Feel Important .96 .03 Lose .90 -.03 Thought .97 .12 Logical/objectwe .93 -.28 Functional facts .75 -.50 Feeling .70 .66 Personality .47 .80 -.47 .65 Sensory effects categories actually located in grid space? The value of the grid in providing workable strategic solutions had been demonstrated in several advertising success stories, but FCB nevertheless undertook an extensive research and development program (Ratchford, 1985). A considerable effort went into operationalizing involvement and think-feel, and eventually eight scales were accepted: $ sumers across some 250 prodUq categories. Respondents rated *Q cently purchased products/ ‘ services using the eight scales, which permitted grid mapp~g on the basis of iIWO]VeIYK?nt ~d think-feel dimensionality. Ten representative categories are ~. lustrated in Figure 3. Products and services plotted where reasonably expected; ~i ysis of individual scale scores helped profile which constru~ had contributed most to. categon location. And, as a quahty con-trol check on the test instru~eot the scales were correlated by Figure 4 ,“ Headache Remedy—France ‘P’ 16 %$ FEEL THINK D . Wganine : 9 D 9 HIGH INVOLVEMENT i D Involvement D Very important/unimportant decision ■ Lot/little to lose if you choose the wrong brand m Decision requires ]ot/litt]e thought Think N Decision is/is not mairdy logical or objective s Decision is/is not based mainly on functional facts Feel Decision is/is not based on a lot of feeling Decision does/does not express one’s personality Decision is/is not based on looks, taste, touch, smell, or sound (sensory effects) ● TjMnol : “ Doliprane : ● Efferalgan : Toutes marques $F “Aspegic As@nne.* ~p’(j : “UPSA : B -... - . . . . . . . . . . . . ..-.. *...= . . . . . --------● Catalgme D D D D &pinne du RhMe ~ B Q B D LOW INVOLVEMENT The primary grid validation study was conducted in the United States among 1,800 con- i s D # B 9 B t / 60 Journal of ADVERTISING RESEARCH— FEB MAR 1986 - ——.— —.- —..-’ ..=$ . ~ { Headache Remedy Clusters, Dispersion FACIAL TISSUE CLUSTERS, DISPERSION FEEL I I I I I 1 # as shown in Figure 4 for aspirin brands. It was also practical and sti~u. lating to cluster consumers around a category plot. ObViousl}’ not m’eryone placed eaCl, catego~ at the mean. A typical ‘ three-cluster so]ution produced dispersions much like the example shown in FiSure 5. Exam. ining different invc;l~’en~ent and think/feel scores for these clusters, and their brand Prefer. ences, helped isolate new” stral tegic advertising options. Figure 5 THINK 10 Y 6* I I HIGH INVOLVEMENT the grid managed to condense almost three decades of consumer behavim theory w into a practical fomat . . . . 11 111 111 1111111 ---- ---- ---- -. 3 3 3=333 3 3 3 3 3 I 3 3 3 3 3 +3333X3333 3 3 [ 333:3 33 3 3 3 ‘o’””’” /-%t’:z 33 2 22 2 ) ( 2 2 22 2 2 2 2 2 22;2 2 q2 2 2 22 factor (see Table 1). Some think and feel items correlated with involvement, which confirmed that it was possible to have varying amounts of think and feel—high or low— depending on involvement. The involvement and think-feel factors, however, worked very well in discriminating consumers’ productdecision space. To date, over 20,000 consumer interviews have been completed in 23 countries. Correlations of 62 i I 2 2 2 I Z42p22 22 ’ I 2! 2 \ 22 m 222 22 22A common products were con~puted between pairs of countries and were quite high, which told us that consumer mental processes were similar over the marketing world despite necessary concessions to communication distinctions in advertising. Previous judgmental use of the grid had included not only category plotting but exploratory placement of brands as well. Major grid studies provided large sample sizes for brand plotting, Journal of ADVLR1 ISING RESEARCH— FEBIMAR 1986 , 0 - And, in a follow7-up to the U.S. grid study, it m’as also possible tc plot characteristics for selected categories. Derived from prior research and brainstorming, cate gory and brand attributes were scaled for involvement and think-feel. As shown in Figure& the wine attributes that were most involving and feeling-oriented (upper right skew) were the most useful in differentiating consumer brand preferences. While brand and attribute mapping are far from unique, having such analysis anchored t( a strategic planning model is e~tremely useful in advertising de velopment. The linkage to consumer decision processes reassures that the executional option! are being created in a relevant context and that final advertising is more likely to be motivating Despite the successful applic~ tion of the grid in planning advertising, we have nonetheless continued to speculate about thf involvement and think-feel dimensions. Fortunately, many Km ?-’-’-” others are doing so as well. For example, while the FCB grid defines involvement in the context of a consumer’s purchase decision, it is clear that it could also be defined in the purchase situation or in product consumption (Kassa~ian, 1981). Since the grid is often used to reflect on previous consumer research as well as current marketing judgments about a product’s positioning and advertising opportunities, it is important to be flexible and insightful about consumer involvement. The real question often is not how much involvement but what kind and what it means. Recent projects by Laurent and Kapferer (1985) and Slama and Tashchian (1985) are promising in their exploration of an array of involvement elements. The think-feel dimension is more problematic. While splitbrain research supports specialized cognitive and affective mental styles, it is also recognized that the brain is actually a unified system (Levy, 1981) that integrates complex stimuli and adroitly manages both information and emotion. But most discussion of this topic in the marketing literature has been metaphorical rather than empirical. consumer mental processes were similar over the marketing world despite necessary concessions to communication distinctions in advertising. . . . Some advertising applications (H,msen, 1978; Appel, 1979; Kruglnan, 1980; Weinstein, 1982) sug~est that what we may be contending with, in its simplest comm u 11 i cation form, is a verbC~l/ nonverbal and semantic/sensory 64 Figure 6 Wine for Dinner Parties-Attributes Wine For Dinner Parties THINK 1 2 HIQH INVOLVEMEM ● ● ● ● 3 ● ● ● ● ● INVOLVEMEW ● continuum that allows people to integrate information and emotion as necessary. Perhaps the best that can be said at this time is that emotion has at least become a legitimate topic for discussion in making effective advertisments (Zajonc, 1982; Holbrook and O’Shaughnessy, 1984; Stout and Leckenby, 1984), and there is also renewed interest in nonverbal elements in advertising (Watson, 1979; Childers, 1984; Haley, 1984). While there is still much to be learned about thinking and feeling in advertising, the distinction made by Hollm-ook (1978) between “logical, objectively verifiable descriptions of tangible product features” and “emotional, subjective impressions of intangible aspects of tl~e product” are fundamentally important for Journal of ADVERTISING RESEARCH— FEB’MAR 1986 — ——- . ..-. . . anyohe confronting the uncertainties of advertising strategy and the perplexities of creative executions. Other work continues on the hierarchy-of-effects model (Preston and Thorson, 1984), be havior-oriented consumer learning models (Nerd, 1980; Rothschild, 1981), and attitudedominant (Mitchell, 1981; Shimf 1981) consumer models to furthl our understanding of how advel tising works. Moran (1985) has put forth a computer microchip analogy with various consumer processing paths activated toward purchases much the way energy flows through a microci] cuit, clearing gates and followin channels set by consumer need! and advertising resportse. Regardless of how these further explorations come out, thu ~rce text 0 tising We know tising work well f tive a ~rovf ~~mtil diligc }W’op =$! ,Jf the FCB Grid has helped to :ama~ through a previously rigid ~ate~c barr!er and become ~,lre expansive and creative in .. ‘er‘gy tive the :), In o; ~dehim furtl advi has chip mer tovay swi ~wil lee d furtht ~e~oping advertising. It has ~de strategic creative planning ~Ore relevant m terms of poten~[ consumer response and ~mu]ated more exciting execu~s. It has done so largely by ~ning Up the advertising p]an~rflg discussion to how adver~~in$ M’ork.s. Strategists have ~mlated rational versus emotional ~~pea]s, suggested involvement~~lsing options, and considered ~i~~’ing a brand in consumer ~rception —all within the con~Xt of a unified model of advertising effectiveness. if-e may not now, or ever, ~~mi’ definitively how adverwing works. But we do know it wclrks in some definable ways %Ld enough to make more effective ad~’ertising. The FCB grid has proved useful in that effort and ~{mtinues to grow in the hands of dhgent and inspired advertising pcop]e. 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