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Stefan Stremei^ch & Gerard J. Tellis Strategic Bundling of Products and Prices: A New Synthesis fbr i\/lariceting Bundling is pervasive in today's markets. However, the bundling literature contains inconsistencies in the use of temis and ambiguity about basic principles underlying the phenomenon. The literature aiso iacits an encompass- ing dassification of the various strategies, dear ruies to evaiuate the legaiity of each strategy, and a unifying frame- work to indicate when each is optimal. Based on a review of the marketing, economics, and iaw iiterature, this arti- d e deveiops a new synthesis of the fieki of bundiing, which provides three important benefits. First, the articie clearly and consistentiy defines bundiing terms and identifies two key dimensions that enabie a comprehensive ciassification of bundiing strategies. Second, it fbrmuiates ciear ruies for evaiuating the legaiity of each of these strategies. Third, it proposes a framework of 12 propositions that suggest whk:h bundiing strategy is optimai in var- ious contexts. The synthesis provides managers with a framework with which to understand and choose bundiing strategies, it aiso provides researchers with promising avenues for further research. B undiing is the sale of two or more separate products in a package. This strategy is pervasive in markets today in one form or another. In the past decade, bundling has received growing attention in the marketing lit- erature. However, the published studies are fuzzy about some basic terms and principles, do not discuss the legality of bundling, and do not provide a comprehensive framework on the economic optimality of bundiing. As a resuit. mar- keting researcfiers may not appreciate tfie fuii meaning of bundiing and the variety of strategies encompassed by the term. Marketing managers may not appreciate the hazards involved in this strategy and fully exploit the advantages of bundling in various markets. Examples of bundles that come to mind readily are opera season tickets (tickets to various events sold as a bundle), luggage sets (various luggage items soid as a bundie), and Intemet service (bundle of Web access. Web hosting, e-mail, personalized content, and an Internet search program). Less straightforward examples include multimedia personal com- puters (PCs), fixed-price menus, executive MBA programs, and premium brokerage accounts. The multinnedia PC is a bundle of the traditionai PC plus speakers, a CD-ROM, and other muitimedia gadgets. A fixed-price menu is a bundie of a choice of appetizer, entrde. and dessert. The executive MBA is a bundle of selected business education moduies Stefan Stremersch is Doctoral Student in Marleting, Tilburg UniversityL Gerard J. Tellis holds the Jerry and Nancy Neely Chair in American Enter- prise, Marshall School of Business, University of Southem Calitomia.'niis article was completed when the first author was visiting doctoral student, Marshall School of Business, University of Southern California. The authors thank Rajesh Chandy, Ruud I Rambach, PMer Gokler, R. Vbnkatesh, Eden Yin, and the four anonymous JM reviewers for their many valuable comnents on previous versions of this articie. Financial support from the Intercollegiate Center for Management Sdenoe is gralefuily acknowledged. that managers could otherwise obtain separately at various conferences and educational organizations. A premium bro- kerage account provides stock trades, stock researeh, maigin trading, retirement pianning, and fiee check writing in one account. These examples show the pervasiveness and strategic importance of bundling. Firms need to resort to bundling cau- tiously because of the legal pitfalls involved. For example, the landmark antitrust case against Microsoft is, at the core, a case against its bundling of Windows and Explorer. Indeed, the U.S. Congress has a long history of legislating on bundling issues, and the U.S. Department of Justice extensively monitors its use by firms. Recently, the Justice Department has prosecuted substantially more cases. For example, the number of antitrust cases it handled between 19% and 1999 is approximately dou- bie the number of cases it handled between 1890 and 1996. Prior marketing iiterature on bundling has examined the optimality of bundiing (Bakos and Brynjoifsson 1999.2000; Eppen. Hanson, and Martin 1991; Guiltinan 1987; Wilson. Weiss, and John 1990), consumer evaluation of bundles (Johnson, Herrmann, and Bauer 1999; Soman and Gourville 2001; Yadav 1994, 1995; Yadav and Monroe 1993). and firms' pricing and promoting of bundles (Ansari, Siddarth, and Weinbeig 1996; Ben-Akiva and Gershenfeld 1998; Han- son and Martin 1990; Mulhem and Leone 1991; Venkatesh and Mahajan 1993). Economists have focused mainiy on the optimality of bundling for monopolists (Adams and Yellen 1976; Burstein I960; Carbajo, De Meza. and Seidman 1990; Long 1984; McAfee, McMillan, and Whinston 1989; Pierce and Winter 1996; Schmalensee 1982, 1984; Stigler 1963; Whinston 1990), equilibrium theories of bundling (Chen 1997; Kanemoto 1991; Mauites and Regibeau 1992), and the welfare implications of bundling (Dansby and Conrad 1984; Martin 1999; Salinger 1995; Whinston 1990). We identify the following three shortcomings in the lit- erature: First, the domain of bundling is ill defined, and Jountiri of Markmting Vol. 66 (January 2002), 55-72 Strategic Bundiing of Products and Prices / 55

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Page 1: Strategic Bundling of Products and Prices: A New Synthesis fbr i

Stefan Stremei^ch & Gerard J. Tellis

Strategic Bundling of Products andPrices: A New Synthesis fbr

i\/laricetingBundling is pervasive in today's markets. However, the bundling literature contains inconsistencies in the use oftemis and ambiguity about basic principles underlying the phenomenon. The literature aiso iacits an encompass-ing dassification of the various strategies, dear ruies to evaiuate the legaiity of each strategy, and a unifying frame-work to indicate when each is optimal. Based on a review of the marketing, economics, and iaw iiterature, this arti-de deveiops a new synthesis of the fieki of bundiing, which provides three important benefits. First, the articieclearly and consistentiy defines bundiing terms and identifies two key dimensions that enabie a comprehensiveciassification of bundiing strategies. Second, it fbrmuiates ciear ruies for evaiuating the legaiity of each of thesestrategies. Third, it proposes a framework of 12 propositions that suggest whk:h bundiing strategy is optimai in var-ious contexts. The synthesis provides managers with a framework with which to understand and choose bundiingstrategies, it aiso provides researchers with promising avenues for further research.

Bundiing is the sale of two or more separate productsin a package. This strategy is pervasive in marketstoday in one form or another. In the past decade,

bundling has received growing attention in the marketing lit-erature. However, the published studies are fuzzy aboutsome basic terms and principles, do not discuss the legalityof bundling, and do not provide a comprehensive frameworkon the economic optimality of bundiing. As a resuit. mar-keting researcfiers may not appreciate tfie fuii meaning ofbundiing and the variety of strategies encompassed by theterm. Marketing managers may not appreciate the hazardsinvolved in this strategy and fully exploit the advantages ofbundling in various markets.

Examples of bundles that come to mind readily are operaseason tickets (tickets to various events sold as a bundle),luggage sets (various luggage items soid as a bundie), andIntemet service (bundle of Web access. Web hosting, e-mail,personalized content, and an Internet search program). Lessstraightforward examples include multimedia personal com-puters (PCs), fixed-price menus, executive MBA programs,and premium brokerage accounts. The multinnedia PC is abundle of the traditionai PC plus speakers, a CD-ROM, andother muitimedia gadgets. A fixed-price menu is a bundie ofa choice of appetizer, entrde. and dessert. The executiveMBA is a bundle of selected business education moduies

Stefan Stremersch is Doctoral Student in Marleting, Tilburg UniversityLGerard J. Tellis holds the Jerry and Nancy Neely Chair in American Enter-prise, Marshall School of Business, University of Southem Calitomia.'niisarticle was completed when the first author was visiting doctoral student,Marshall School of Business, University of Southern California. Theauthors thank Rajesh Chandy, Ruud I Rambach, PMer Gokler, R.Vbnkatesh, Eden Yin, and the four anonymous JM reviewers for their manyvaluable comnents on previous versions of this articie. Financial supportfrom the Intercollegiate Center for Management Sdenoe is gralefuilyacknowledged.

that managers could otherwise obtain separately at variousconferences and educational organizations. A premium bro-kerage account provides stock trades, stock researeh, maigintrading, retirement pianning, and fiee check writing in oneaccount.

These examples show the pervasiveness and strategicimportance of bundling. Firms need to resort to bundling cau-tiously because of the legal pitfalls involved. For example, thelandmark antitrust case against Microsoft is, at the core, a caseagainst its bundling of Windows and Explorer. Indeed, the U.S.Congress has a long history of legislating on bundling issues,and the U.S. Department of Justice extensively monitors itsuse by firms. Recently, the Justice Department has prosecutedsubstantially more cases. For example, the number of antitrustcases it handled between 19% and 1999 is approximately dou-bie the number of cases it handled between 1890 and 1996.

Prior marketing iiterature on bundling has examined theoptimality of bundiing (Bakos and Brynjoifsson 1999.2000;Eppen. Hanson, and Martin 1991; Guiltinan 1987; Wilson.Weiss, and John 1990), consumer evaluation of bundles(Johnson, Herrmann, and Bauer 1999; Soman and Gourville2001; Yadav 1994, 1995; Yadav and Monroe 1993). andfirms' pricing and promoting of bundles (Ansari, Siddarth,and Weinbeig 1996; Ben-Akiva and Gershenfeld 1998; Han-son and Martin 1990; Mulhem and Leone 1991; Venkateshand Mahajan 1993). Economists have focused mainiy on theoptimality of bundling for monopolists (Adams and Yellen1976; Burstein I960; Carbajo, De Meza. and Seidman 1990;Long 1984; McAfee, McMillan, and Whinston 1989; Pierceand Winter 1996; Schmalensee 1982, 1984; Stigler 1963;Whinston 1990), equilibrium theories of bundling (Chen1997; Kanemoto 1991; Mauites and Regibeau 1992), andthe welfare implications of bundling (Dansby and Conrad1984; Martin 1999; Salinger 1995; Whinston 1990).

We identify the following three shortcomings in the lit-erature: First, the domain of bundling is ill defined, and

Jountiri of MarkmtingVol. 66 (January 2002), 55-72 Strategic Bundiing of Products and Prices / 55

Page 2: Strategic Bundling of Products and Prices: A New Synthesis fbr i

terms that refer to distinct phenomena are used interehange-ably. Second, there is no clear, comprehensive, and coherentdiscussion of the legality of bundling. Third, there is no inte-grative framework that expiains the optimaiity of bundlingconditionai on various factors. On the contrary, the literaturecontains ambiguity about some key conditions for optimai-ity, and theory on others is incomplete or absent.

This article provides a new synthesis of the field ofbundling based on a critical review and extension of themarketing, economics, and law literature. In particular, thissynthesis makes three important contributions to the iitera-ture. First, it clearly and consistently defines bundling termsand principles. It identifies two key underlying dimensionsof bundling that enable a comprehensive classification ofbundling strategies. Second, it formuiates ciear rules toevaluate the legality of each of these strategies. Such ruiesmust complement any discussion of economic optimaiity toensure that economically optimal strategies are optimai inpractice, afier taking into account legal proscriptions andrisks. Third, it proposes a framework of 12 propositions thatprescribe the optimal bundling strategy in various contexts.The framework is a logical one that uses uniform terms andassumptions. The propositions incorporate all the importantfactors that influence bundling optimaiity. These proposi-tions synthesize a body of knowledge that is at least partlysupported by verbal logic, mathematical proof, or empiricalevidence.

The rest of the article is oi]ganized as follows: The nextsection presents a primer on bundling strategies. The fol-lowing section develops a set of key propositions aboutbundling. The final section presents our conclusions, impli-cations, and limitations.

A Primer on Bundling StralegtosThis section first defines terms used in bundling. It thenclassifies the entire domain of bundiing strategies andclearly demareates their legality.

DaHnlttonsThis subsection first explains the current confusion in thebundiing literature. It then proposes dear definitions of keyterms that are parsitnonious anid rooted in the law literature.

Cortfusion in literature. The confusion in the lileraturearises from inconsistent use of lerms, ambiguous distinc-tions between important constructs, and an unclear domainof appiication. We explain each of these problems with rel-evant examples.

First, bundling does not have consistent, universallyaccepted definitions. Adams and Yellen (1976, p. 475)define bundling as "selling goods in packages." Guiltinan(1987, p. 74) defines bundling as "the practice of maricetingtwo or more products atid/or services in a single package fora special price." Yadav and Monroe (1993, p. 350) define itas "the selling of two or more products and/or services at asingle price." Without consistent definitions, the legality ofbundling becomes fuzzy and its practicai implicationsbecome imprecise.

Second, the distinction between a product and a bundleis not clear. For example, Salinger (1995) treats a pair of

shoes as a bundle of a left and a right shoe. Telser (1979)considers a car a bundle of different parts, such as theengine, wheels, and so forth. As such, every product wouldbe a bundle of parts, and the term would lose its strategicand legal importance.

Third, the domain of bundling strategies is not clear.Mulhem and Leone (1991, p. 66) introduce the concept ofimplicit price bundling as "the pricing strategy whereby theprice of a product is based on the multitude of price effectsthat are present across products without providing con-sumers with an explicit joint price." By this term, the authorsimply that retailers that decrease price in one category mustconsider potential sales increases or decreases in other cate-gories. However, this extension of the meaning of bundlingruns the risk of increasing ambiguity about the concept andits domain without enhancing understanding of the coreconcepts and principles of bundling.

In the interest of generality, we use definitions that areparsimonious, rooted in the law literature, and as close aspossible to the intent of authors in economics and marketing.

Bundling. Bundling is the sale of two or more separateproducu in one package. • The term "separate" has enormousimplications for understanding the legality and optimaiity ofthe phenomenon, so it merits precise definition. We defineseparate products as products for which separate marketsexist, because at least some buyers buy or want to buy theproducts separately. For example, combined offerings ofbanking and insurance products are bundles because at leastsome consumers buy insurance and banking separately. Atravel package including air and ground travel is a bundleconsisting of procedurally separate services. Note that prod-ucts can be separate at one level in the channel, while beingmere parts of a product at another level. Although a proces-sor and a haFd disk drive are parts in a PC for an erid user,they are separate products for a PC manufacturer. This arti-cie focuses on bundling from an end user's perspective anddoes not deal with bundling in a channel context.

Bundling focus: product versus price burtdling. At pre-sent, researchers use the terms product bundling and pricebundling interchangeably without clearly distinguishingbetween the two strategies. Our articie is the first in market-ing to clarify this distinction, articulate the ramifications ofeach strategy, and relate the two to each other.

We define price btmdling as the sale of two or more sepa-rate products in a package at a discount, without any integra-tion of the products. Because the products are not integrated,the reservation price for the price bundle is, by definition,equal to the sum of the conditional reservation prices of theseparate products.^ In other words, bundling itself does notcreate added value to consumers, and thus a discount must beoffered to motivate at least some consumers to buy tbe bundle.Think of a set of luggage items, a six-pack of beer, a combomeal, a software suite, or a season ticket for the opera.

•The term "product" in this definition and the rest of the textrefiers to both goods and services.

2The reservation price of a product is the maximum price a con-sumer is willing to pay for the product. The conditional reservationprice is the reservation price of a product, conditional on the con-sumer buying another product.

56 / Journal Of MarMbig, January 2002

Page 3: Strategic Bundling of Products and Prices: A New Synthesis fbr i

We define pntduct bundling as the integration and saleof two or more separate prtxlucts or services at any price.This integration generally provides at least some consumerswith added value, such as compacUwss (integrated stereosystems), seamless interaction (PC systems), nonduplicatingcoverage (one-stop insurance), reduced risk (mutual fund),interconnectivity (teliecom systems), enhanced performance(personalized dieting and exercise program), or conveniencefrom an integrated bill (telecom calling plans). The greatervalue raises consumers' reservation prices for the productbundle compared with the sum of the conditional reservationprices of the separate products.

A product bundle can therefore be thought of as havingan integral architecture (Ulrich and Eppinger 1995). Itimpiements the different functions of the bundled productsin a single product bundle. The multimedia PC has an inte-gral architecture, in that it integrates functions such as con-nection (e.g., modem), data storage, and retrieval (e.g., CD-ROM), which were separate physical chunks before theadvent of the multimedia PC.

The distinction between price and product bundiing isimportant because it entails different strategic choices with dif-fierent consequences for companies. Whereas price bundling isa pricing and promotional tool, product bundling is morestrategic in that it creates added value. Managers can thereforeuse price bundling easily, at short notice, and for a short dura-tion, whereas product bundling is more of a long-term differ-entiation strategy. In the case of physicai goods, productbundling requires a new design, research to optimize thedesign, and retooling to nranufacture the product bundle. In thecase of services, product bundling requires redefinition of ser-vices, optimization of the interfiaces among the services, andredesign of service delivery processes. Managers frequentlyapproach product bundling from a (new) product developmentperspective, involving the research and development and man-ufacturing departments. Price bundling decisions are often thesole prerogative of the marketing department

For example, consider the strategic options of Dell,which markets to consumers who want to buy a portablecomputer system consisting of a basic iaptop, a modem, anda CD burner. First, it can sell these products as separateitems, such that the price of each item is independent of con-

sumers' purchase of the other item. In this case, consumerscould easily foigo purchasing a modem or CD burner, orthey could purchase it from a competitor. Second, Dell cansell the products as a price bundle. For example, it could,without physically changing any of the products, give a dis-count to consumers if they buy all three products together.This offer would probably motivate at least some consumersto buy all three products from Dell. Thud, Dell can sell thethree items as a product bundle. Ib meet the latter classifi-cation. Dell must design some integration of the three sepa-rate products. [^ example, it could create an enhanced lap-top. Not only could this trigger some consumers to buy allproducts from Dell, but through the value added they mighteven do so at a premium price.

Bundling form: pure verstis mixed. Bundling may takeone of three forms; pure, mixed, or unbundling (Adams andYellen 1976). Unbundling is a strategy in which a firm sellsonly the products separately, but not the bundle, lypically,because this strategy is a base strategy for most firms, thestrategy is caiied unbundling only when contrasting it with abundling strategy. Pure btindling is a strategy in which afirm sells only the bundle and not (all) the products sepa-rately. Pure bundling is sometimes called "tying" in the eco-nomics and legal literature.̂ A tying prtjduct is a separateproduct that is bundled with other separate products. Tie-insare secondary products that are bundled with the primaryproduct. Mixed bundling is a strategy in which a firm sellsboth the bundle and all the separate products in the bundleseparately. TMe 1 presents a tabular view of these terms.

Classification and Lagality of BumUing Stratagias

Classification of bundling strategies. To classify andrelate various bundling strategies, we identify two keydimensions of bundling: (1) the focus of bundling, whetheron price or product, and (2) the form of bundling, whetherpure or mixed. These dimensions encompass a rich set ofbundling strategies that have substantiaily different charac-

^Many economics scholars will approach tying more narrowly,as the pure bundling of products in fixed proportions; for example,a bundle of a car and ear insurance is always the combination ofone car with one insurance policy.

TABLE 1Bundling Temns

Term Definition Examplea

Bundling Bundling is the sale of two or more separate products in one package.

Price bundling Phce bundling is the sale of two or more separate products as apackage at a discount, without any integration of the products.

Product bundling Product bundling is the integration and sale of two or more separateproducts at any phce.

Pure bundling Pure bundling is a strategy in whk:h a finn sells only the bundle andnot (all) the products separately.

Mixed bundling Mixed bundling is a strategy in whk:h a finn sells both the bundleand (all) the products separately.

Opera season tickets,multimedia PC

Luggage sets, variety pack ofcereals

Multimedia PC, sound system

IBM's bundling of tabulatingmachines and cards

Telecom bundles

Stratagic Bundling of Produeta and Prioas / 57

Page 4: Strategic Bundling of Products and Prices: A New Synthesis fbr i

teristics and implications. By using these two dimensions,focus and form. Figure I classifies the domain of bundlingstrategies. The focus of bundling is along the horizontalaxis, that is. on either price or product. The form of bundlingis along the vertical axis, that is, none. pure, or mixed. Fig-ure 1 considers a general case with two products, X and Y.Combinations of X and Y represent the terms of the sale.Thus, (X. Y) represents the sale of a price bundle. (XOY)represents the sale of a product bundie. and X and Y withoutparentheses represent tlie sale of separate products.

When the products are sold separately, the strategy isunbundling and remains the same for the price and productcolumns (Cell I). Sears sells Kenmore home appliancesunbundled. Cell 2 represents a case of pure price bundling.In this case, a firm bundies the two products for one fixedprice, without integrating the products or offering them sep-arately. A classic example would include restaurants thatoffer only a fixed price menu, with appetizer, entree, anddessert. Cell 3 represents a case of mixed price bundling, inwhich case the firm sells the separate products (unchanged)in a price bundle and also sells the products separately attheir regular prices. An example would be Samsonite's strat-egy of selling different sizes of suitcases separately as wellas complete sets at a discounted price. Cell 4 represents acase of pure product bundling. In this case, the firm physi-cally integrates the products and sells only this integratedproduct bundle. An example is Apple Computer's strategy ofselling its computers and software as one package. Cell 5represents the case of mixed product bundling. In this case,the firm sells an integrated product bundle at one price andalso sells the separate products at their regular prices. An

FIGURE 1A Classification of Bundling Stratagias

FocusForm

VnbuHtUiKg

Purebmummg

Mixedtumdlii^

Price Producl

X

Ymm•(X.YI

X

Y

(xeY)

•(xeY)

.X

Y

I Pure price bundling is illegal for flmis with maifcet power.

Pure product bundling is illegal for finns with market power if thebenefits to consumen do not offset potential damage to competition.

example would be Circuit City's sale of integrated stereosystems alongside those for the separate products in thesystem.

Legality of bundling. The preceding classification helpsus sort out the legality of various strategies (see Figure 1).This is valuable in view of the limited attention devoted to aclear delineation of the legal rules on bundling in the mar-keting, economics, and law literature. In particular, the mar-keting literature avoids all discussion of the legaiity ofbundiing. though it covers the iegaiity of truth in advertisingor price discrimination substantialiy (also see Werner 1991.1993). Yet bundling is pervasive in marketing and is asimportant as price discrimination or advertising. Moreover,understanding the iegaiity of bundling is crucial to develop-ing successful price and product bundling strategies.

Legal and economic analysts have not made an effort toabstract clear rules from past cases, despite a body of caselaw. On the basis of a review of the law literature and caselaw. we synthesize the proscriptions contained in the rele-vant federal laws in two clear rules, the per se rule and therule of reason. This simple distinction helps explain much ofthe apparent conflict in court rulings on various cases overthe past century. The spirit underlying both rules is that thebundling strategy of a firm should not hurt buyers by limit-ing competition. The per se rule is the more stringent of thetwo rules.

We describe the per se rule in terms of four conditions,as follows: Bundling is iliegal per se when it involves (I)pure bundling (2) of separate products (3) by a firm withmarket power and (4) when a substantial amount of com-merce is at stake. We have already clarified the meaning ofpure bundling and separate products. Here, we explain mar-ket power and substantiality.

Market power means that the bundling firm can *'fbrce aconsumer to do something that he would not do in a com-petitive market" (Soobert 1995. n. 87) with regard to (hetying product. Although a monopoly is a clear indication ofdominant market power, a company's power does not haveto be complete over all buyers in the market (Partner Enter-prises V. United States Steel Corp 1969).

Substantiality means that the amount of commerce thatis at stake should be high. If this amount is not high, thepractice is legal. How high is high? The U.S. Supreme Courthas noted that as little as $60,800 would be considered sub-stantial (United States v. Loew's 1962). This small numbermeans that this condition is easily met in most markets.

Note that a firm may try (o circumvent the law by adopt-ing a mixed bundling strategy in which it prices individualproducts so high that consumers buy only the bundle. In thi.scase, mixed bundling is de facto pure bundling and willreceive the same legal treatment (Northern Pac Ry v. UnitedStates 1958).

We describe the rule of reason in terms of six conditions,as follows: Bundling is iliegai under the rule of reason whenit involves (I) pure bundiing (2) of separate products (3) bya firm with market power. (4) involving a substantial amountof commerce, (5) which poses a threat that the bundling firmwill acquire additional market power over at least one of theproducts that is bundled with the tying product, and (6) nc)plausible consumer benefits ofTset the potential damage lo

58 / Joufiwl Of ItataHng, JMMMry 2002

Page 5: Strategic Bundling of Products and Prices: A New Synthesis fbr i

competition. Therefore, under the rule of reason, each of thefour conditions mentioned under the per se rule is still nec-essaiy, but not jointly sufficient, for bundling to be illegal.Although assessing the legality of bundling under the per serule can be relatively easy and objective, doing so under therule of reason is generally more difficult because of thesetwo additional conditions, which we explain next.

Under the rule of reason, the nnere existence of maricetpower over the tying product is not sufficient for bundling tobe illegal. In addition, there shouid be a substantial threat of thebundling firm acquiring additional maricet power over at leastone of the products that are bundled with the tying product. Fbrexample, Sandoz Pharmaceuticals bundled Clorazil, a drug forschizophrenia, with CPMS, Clorazil Patient Management Sys-tem, a system that monitored the side effects of the drug on thepatient (Hurwitz 1991). Although Sandoz possessed marketpower through the patented Clorazil drug, it could not acquireadditional maricet power in the maiket for monitoring systemsbecause the specific use to monitor schizophrenics' reaction toClorazil was a small part of the total market for monitoringsystems. Therefore, this strategy was not illegal.

The sixth condition for bundling to be illegal, under therule of reason, is that it produces no benefits to buyers thatmay offset the potential damage to competition (Meese1999). If such benefiu are present, bundling can stiii belegal, even though all five previous conditions are met. T/p-icai offsetting benefits are substantial reductions in costs ormajor increases in value when the products are bundled. Bythis logic, pure product bundles may be legal if they provideadded value and are not merely a bolting together of prod-ucts. For example, in United States K Jerrold ElectronicsCorp. (1%1), the court used this factor to fmd an otherwiseillegal bundling strategy lawful. Jerrold Electronics, an earlyproducer of cable television equipnnent, sold communitytelevision antennas only bundled with a service contract.Tbe equipment was very sensitive, and customers had noexpertise in using it, which thus warranted a bundiing strat-egy to ensure quaiity. Recently, the D.C. Circuit (appealscourt), in the context of the Microsoft case, ruled that anyplausible claim of consumer benefits is enough to satisfythis condition (United States v. Microsoft Corp. 1998). Notethat this statement gives a liberal interpretation of offsettingbuyer benefits. Indeed, the D.C. Circuit strongly discour-aged courts from second-guessing manufacturers' designdecisions (.United States v. Microsoft Corp. 1998).

Both of these rules, the per se rule and the rule of reason,have been used over the course of different legal cases, andtherefore different applications seem to dispiay a "conflictingset of rules" (Dansby and Conrad 1984, p. 377). The IBMcase (1936) showed rigid legal scrutiny of bundling practices,in that the Supreme Court applied the per se rule avatU-la-lettre. The first explicit application of the per se rule occurredin 1947 (InternationalSalt Co. v. UtutedStates 1947). In thiscase, Intemational Salt Co. leased patented salt-dispensingmachines on the condition that the iessee purchased salt forthe machines from the company. Without analyzing evidenceof substantial anticompetitive effects or taking into accountevidence presented by the company that bundling was neces-sary to maintain quality control, the court found the companyper se guiity of illegal bundling (Soobert 1995).

In 1969, the Supreme Court relaxed the harsh per se ruleand moved toward the rule of reason (Fortner Enterprises v.United States Steel Corp 1969). Although it is uncertainwhich of these two rules a court will use in a specificbundling case, use of the rule of reason is growitig morecommon. Therefore, the rule of reason is the most suitablebenchmark for judging the legality of various butidlingstrategies.

Legality cf various bundling strategies. We apply theprevious discussion on legality to our classification ofbundling strategies (see Figure 1). We discuss only the casein which a firm with market power bundles separate prod-ucts, because these are necessary conditions for illegality.All unbundling (Cell I) and mixed bundling strategies (Cells3 and 5) are legal. Pure price bundling (Cell 2) is always ille-gal, under both the per se rule atid the rule of reason. Pureproduct bundling (Cell 4) is legal under the nile of reason ifthe benefits to consumers offset potentiai damage to compe-tition. Note, however, that it would be illegal under the perse rule. Bolting products together is also illegal. Merelybolting products together does not constitute genuine inte-gration and thus cannot be beneficial to consumers.

Although we have specified clear rules for legality andapplied them to various bundling strategies, ambiguity maystill occur in the factual evidence of specific cases. A goodexample is the landmark antitrust case United States v.Microsoft Corp. If we take the position that Microsoft doesnot possess a monopoiy position (as Massachusetts Instituteof Technology economist Richard Schmalensee did) or thatthe bundling of Windows and Explorer provides consumervalue (as Microsoft chief executive officer Steve Ballmerdid), then the bundling of Expiorer and Windows is legal.However, if we take the position that Microsoft is a monop-olist and the bundling of Explorer with Windows byMicrosoft does not add value for consumers (as the U.S.govemment did), then Microsoft's bundling of Explorer andWindows is iilegal. Thus, the critical issue in the Microsoftcase is the factual assessment of market power and con-sumer benefits.

First, does Microsoft possess market power? The pres-ence of market power is a difficuit fact to establish objec-tively. In particular, the definition of the relevant market isthe subject of intense economic and legal debate. In theMicrosoft case. Judge Jackson (1999) defined the relevantmarket narrowly as "the worldwide licensing of Intel-compatible PC operating systems." In this market, MicrosoftWindows indeed has market power because of its dominantmarket share (95%). However, we question this definition.Would it be more relevant also to include other desktopoperating systems such as Apple or Linux? How about net-work operating systems, such as UNIX or Novell?

Second, does the bundling of Expiorer and Windowsprovide consumers with added benefits, or were tbe twosoftware packages bolted together just to temper competi-tion? As the D.C. Circuit Court indicated, it is difficult foran outsider to second-guess a company's design choices,especiaily in high-tech markets. Besides, in this case, whatwould be the optimal degree of integration between the twosoftware packages? Who would determine that?

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Thus, although our identification and formulation otclear rules reduce the ambiguity in case law. ambiguity stillremains in the empirical evidence to which the rules apply.This problem can be clarified by separating two stages in thelegal process: findings of fact and conclusions of iaw. Estab-lishing findings of fact is an empirical issue, which could beclear in some cases and highly controversial in others, suchas the Microsoft case. However, based on those findings, theconclusions of law should become much clearer with therules we formulated.

Optimality of Bundlifig StrategiesThis section discusses the optimality of the various bundlingstrategies. It explains under what factors which strategybecomes dominant. Relative to work done in the literature,this section makes the following contributions: First, the eco-nomics literature has focused primarily on profit maximiza-tion by a monopolist (Adams and Yellen 1976; Pierce andWinter 1996; Schmalensee 1982. 1984) without consideringother objectives of firms, other forms of competition, a firm'scost structure, or consumers' perception of bundles. We for-mulate propositions that cover all the key factors that affectthe optimality of bundling: consumers' conditional reserva-tion prices, objectives of the firm, competition, costs, and con-sumers' perception of bundles. Second, the literature isambiguous about the heterogeneity of reservation prices. Inparticular, most authors focus entirely on asymmetry of reser-vation prices. However, the distribution of reservation pricesinvolves asymmetry and variation, each of which can affectthe optimum strategy. Our discussion clearly explains the roleof each. Third, the literature has largely ignored the importantdistinction between product and price bundling. Productbundling is an important altemative focus for bundling strate-gies, especially in high-tech markets. We formulate proposi-tions that cover the area of price and product bundling.

Of the propositions we advance, most have never been dis-cussed. Of those previously discussed, at least one (P2) haspreviously been imprecisely stated, and a few are at least par-tially supported in the literature (P|. Pg. and P12). We discussand classify all of these propositions in the interest of com-pleteness. Whenever the literature contains a partial or fullproof for a proposition, we cite it. Although our propositionsare firmly grounded in marketing or economic literature, wealso develop a simulation that illustrates the mechanismsunderlying most of our propositions. The use of simulation todo this kind of sensitivity analyses is a bit uncommon in mar-keting, though it has been used successfully before (Rajendranand Tellis 1994; Tellis and Zufryden 1995). Before we pro-ceed to the propositions, we explain the simulation in detail.

Simulation

We illustrate the logic of some of our propositions withnumerical examples (see Tkbles 2 and 3). These examplesgive the optimal prices for a supplier based on various dis-tributions of consumers' reservation prices or costs of thesupplier. To generate these examples, we developed a pro-gram that runs on Microsoft Excei. To determine the optimalprices, we use a subroutine called Evolver from Paiisade(see www.palisade.com). This is a powerful optimization

routine based on an innovative genetic algorithm, it replacesthe subroutine. Solver, in Microsoft Excel, which doe.s notwork well when a spreadsheet has "if-then-else" statement>as our program does.

Figure 2 provides a flowchart of our program. It consistsof the following five steps or components:

A. The user must tirst specify the segments, their siises. and thedistribution of reservation prices by segment and pnxluct.

B. The user then assigns an array for the optimal prices that theprogram tries to determine.

C. Based on those prices, the program contains formulas todetermine consumer surplus for the various offerings (i.e..product and price combinations).

D. Next, an array compute.s unit sales for each offering. Thisarray contains formulas that incorporate the following rules:(I) Sales occur for a particular offering if and only if con-sumer surplus is positive and a maximum among alterna-tives is available. (2) If consumers are exactly indifferentbetween buying and not buying, they buy a product. (.3) Itconsumers arc exactly indifferent between buying a bundleand the separate products in the bundle, they buy the bundle.

E. Finally, the program calculates the revenues based on theproduct of sales, the segments' size, and the prices offered.

The researcher then uses E:volver to maximize revenuesin Cell E by varying values in Array B. subject to certainconstraints. The basic constraints specify the minimum (thelowest reservation price) and maximum (the highest reser-vation price) values that Array B can uke. These constraintsare not essential, but they ensure a faster convergence to theoptimum. (A technical note and the spreadsheet program areavailable from the authors.)

The program easily determines the optimal prices for avariety of price distributions, segments, segment sizes, andproducts. As such, it is easier and more flexible than any pro-gram available in the literature. It has three benefits. First, itcan generate suitable examples with minimal computationeffort, for papers, classroom use. or demonstrations. Second,it can help managers determine what strategy is optimal inspecific situations. Third, it zsm be used to evaluate therobustness of various propositions when the user generatesexamples that stretch the bounds of a particuiar proposition.

We next proceed to discuss the propositions under eachof the five factors: consumers' conditional reservationprices, objectives of the firm, competition, costs, and con-sumers' perceptions of bundles. Where appropriate, we inte-grate legality in the discussion based on the principles weelucidated previously.

Coiwumars' ContUdonal f^aarvatkm PricasAn important factor in determining which strategy is opti-mai is the distribution of conditional reservation prices. Wefirst explain the basic principles about heterogeneity of con-ditional reservation prices. We then deveiop and explain ourpropositions. We do so in two general cases: a base case, inwhich only price bundles are possible, and an extended case,in which product bundles are possible.

Heterogeneity of conditional reservation prices. Manyresearchers have stated that heterogeneity of conditionalreservation prices is an important factor in determining theoptimality of bundling strategies. However, this heterogene-

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FIGURE 2Flow Chart of Excel Optimization Program

(Dispiayvd Hara to GanmHto aT\MO-Sagmant.1ViK>-Frodiict Example)

A: Segment Sizes and Reservation Prices(Input by user)

Segments

AB

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D: Sales of Product to Each Segment(Calculated by Excel with use of formula)

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Revenues

Excel Evolver to maximize product of (sales, segment sizes, and prices offered)

ity has two dimensions, asymmetry and variation. Main-stream economics and marketing researeh focus exclusivelyon asymmetry in reservation prices (Adams and Yellen1976; Guiltinan 1987; Tbllis 1986). Only Pieree and Winter(i996) discuss the effect of variation in reservation prices.This section cleariy defines each type of heterogeneity,reiates the two types to each other, and presents a compre-hensive treatment of the effect of different forms of hetero-geneity on the optimaiity of various bundiing strategies.

An asymmetric distribution of conditionai reservationprices for two products, X and Y, occurs when one consumersegment has a iower conditionai reservation price for Prod-uct X than another consumer segment and the former seg-ment has a higher conditional reservation price for PnxluctY than the latter segment. In other words, an asymmetricdistribution of conditionai reservation prices resuits in anegative correlation of conditional reservation prices for twoproducts across consumer segments (Adams and Yeiien

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1976). A segment consists of an identifiable group of con-sumers within a market with relatively homogeneous condi-tional reservation prices. For exampie, consider the demandfor magazines such as Sports Illustrated and EntertainmentWeekly. Some consumers (sports fans) will be more inter-ested in a subscription to Sports Illustrated than in a sub-scription to Entertainment Weekly, whereas others (moviebuffs) will prefer the latter to the former (as is displayed inCases 3 and 4 in Table 2, Part A). This is a case of asym-metric distribution of conditional reservation prices.

Variation refers to the difference among consumers'reservation prices for the bundle of products. Suppose TimeInc. considers bundling Sports Illustrated and EntertainmentWeekly. Although some consumers, who read many maga-zines or are both sport fans and movie buifs. may value sucha bundle, others may not. As a result, valuation of the bun-dled subscription of Sports Illustrated and ErttertainmentWeekly may vary considerably among consumers. Variationrefers to the contrast in Cases 2 and 4 from Cases I and 3 inTable 2, Part A. We next cover the optimaiity of bundlingstrategies in more detail for two cases: (I) a base case, inwhich only price bundling is possible, and (2) an extendedcase, in which both price and product bundling are possible.

Price bundling. The base case assumes potential for onlya price bundle and not a product bundle. Again consider themagazine exampie stated previously. The reservation priceof a bundled subscription for Sports Illustrated and Enter-tainment Weekly is equal to the sum of the conditional reser-vation prices of both magazines. How does heterogeneityaffect the best strategy for a firm in terms of revenues?Under the assumptions outlined previously, we formulatethe following proposition:

P|: A price bundling strategy (either pure or mixed) yieldshigher revenues than unbundling if conditional reservationprices are asymmetric.

Although this proposition has found substantial support ineconomics (Adams and Yellen 1976; Schmalensee 1982), ithas not been stated unambiguously, in that asymmetry hasrarely been isolated from variation in reservation prices. Theunderlying reason for the strategy is the following: When thereis asymmetry, different consumer segments highly value dif-ferent products in the bundle. In such a scenario, a bundle canbe designed to appeal (and more profitably sell) to consumerswho would otherwise buy only one product or buy both prod-ucts at prices below their reservation prices. In particular, if afirm wanted to maximize sales, it could price the separateproducts at the minimum of consumers' reservation prices forthem. However, such a pricing strategy would leave untappeda considerable amount of consumer surplus. In contrast, awell-designed price bundle can capture most of the surplusarising from the asymmetry in conditional reservation prices.We call this process the extraction of consumer surplus.

We can also consider price bundling a price discrimina-tion instrument. Price discrimination is a strategy in whicha supplier sells the same product at different prices to dif-ferent segments that value a product differently. The strictcase in which the supplier is charging a different price toeach consumer is called first-degree price discrimination.The supplier extracts the full value of each consumer's sur-

plus. By properly choosing a price for a bundle, a suppliercan capture different segments with substantially differentvaluations for the individual products in the bundle. As such.price bundling is called second-degree price discrimination,because in this case the supplier will not be able to take allthe consumer surplus of each consumer.

We illustrate the logic with the example in Table 2. PanA. Suppose (as in Case 3 in Table 2. Part A) some con-sumers—we call them sports fans (Segment A in this case ) - -value a subscription to Sports Illustrated so highly that theyare willing to pay $50 for it, but they are willing to pay only$30 for a subscription to Entertainment Weekly. Others—wecall them movie buffs (Segment B in this case)—are willingto pay $50 for a subscription to Entertainment Weekly butonly $30 for Sports Illustrated. What pricing strategy willmaximize revenues? Table 2, Part B. shows that pricebundling generates more revenues than unbundling. Table 2presents average revenues per consumer, which are derivedas total revenues divided by the number of consumers.

Although the sizes of Segments A and B are initiallyassumed equal, this result applies to every proportion of sportsand movie buffs. If 90% of Ihe consumers are sports fans, theoptimal unbundled prices for Sports Illustrated and Entertain-ment Weekly are $50 and $30, respectively. Revenues are equalto ($50 X .9 -h $30 X I) X (number of consumers). Therefore,all consumers would buy a subscription to EntertainmentWeekly, but only sports fans would subscribe to Sports Illus-trated A price bundle at $80 would generate ($80 x I) x (num-ber of consumers) in revenues, again larger than the unbundledrevenues. Also, if 90% of the consumers are movie buffs,unbundled revenues are maximized at a price of $50 for Enter-tainment Weekly and $30 for Sports Illustrated. This generates($50 X .9 -h $30 X I) X (number of consumers) in revenues. Aprice bundling strategy, in which the bundle is offered at $80.generates ($80 x I) x (number of consumers) in revenues,which is again higher than the revenues when the supplier dix-snot offer a price bundle and offers the magazines separately.Thus, the proposition is independent of segment size.

Pj: Mixed price bundling yields higher revenues than pureprice bundling only when reservation prices for the bundlevary across consumers. In all other cases, pure pricebundling yields at least the same revenues.

This proposition contradicts often-cited sutements ofAdams and Yellen (1976), Guiltinan (1987). and others thatmixed price bundiing is always at least weakly better thanpure price bundling. In contrast, we state that mixed pricebundling is superior only when the reservation price for thebundle varies. The reason for our different conclusion is thatour analysis disentangles two key dimensions of hetero-geneity, asymmetry, and variation in conditional reservationprices. Previous analyses did not make this distinction clear,and their conclusions for optimaiity were not complete oraccurate. In contrast to mainstream bundling literature, thisproposition has received partial support in the literature(Pierce and Winter 1996).

The rationale of the proposition is the following: Whenthe bundle reservation prices vary sufficiently, the firm canprice the separate products to extract surplus from the seg-ment that values one of the bundled products highly, while

62 / Journal Of MarinHng, January 2002

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pricing the bundle to attract the other segmeni. So u mixeilprice bundling strategy dominates. When bundle prices dnnot vary, the bundle will be equally attractive to both seg-ments. Thus, a pure price bundling strategy dominates orequals a mixed price bundling strategy. For example, con-trast Cases I and 3 with Cases 2 and 4 in Table 2. Part B.

Note that in these cases, the revenues from a mixed pricebundling strategy merely equal the revenues from a pure pricebundling strategy. The rea.son is that in these cases, mixedprice bundling reduces to a de facto pure price bundling strat-egy. (Recall from the legality section that a de facto pure pricebundling strategy is one in which all consumers buy the bun-dle because the prices of the separate products are relativelyhigh.) In a valid mixed price bundling scheme, the prices ofthe separate products would need to be such that at least oneconsumer segment buys one separate product. Then mixedprice bundling would become inferior to pure price bundling.For example, one such pricing strategy would optimallycharge $49 for Sports Illustrated. $50 for EntertainmentWeekly, and $80 for the bundle. In that case. Segment A wouldbuy only Sports tllustrated, and Segment B would buy thebundle. This would generate a revenue of $64.50. on average.

In practice, legality limits the choice of strategies.Although it may be economically optimal for a firm thaifaces low price variation to use pure price bundling, thischoice may be illegal if the finn has dominant market power(see the prior discussion of the per se rule). A mixed pricebundling strategy is also illegal if the strategy reduces to ude facto pure price bundling strategy, as discus.sed previ-ously. Thus, consideration of economic optimality must pro-ceed with evaluation of what is legally prudent.

Product bundling. The possibility of a product bundleenriches the set of potential bundling strategies (see Figure I).

P): A product bundling strategy (either pure or mixed) yieldshigher revenues than unbundling for both symmetric andasymmetric conditional reservation priees. though the dif-lerenee in revenues will be larger when reservation pHce.sare asymmetric.

Prior research has not addressed the optimality of prod-uct bundling. Product bundling strategies yield higher rev-enues than unbundling strategies because they exploit con-sumers' willingness to pay for added value. Because of thisadded value, the asymmetry in conditional reservationprices is not necessary for the optimality of productbundling. However, the difference in revenues betweenproduct bundling and unbundling is lai;ger when conditionalreservation prices are distributed asymmetrically rather thansymmetrically. The reasoning is the same as in the case ofprice bundling in P|—transferring consumer surplus irom asegment with high conditional reservation prices to that withlow conditional reservation prices. Again, this logic can beeasily illustrated by the following example.

Consider the pricing fbr an integrated stereo system,composed of a receiver and CD player, in Table 3. Part A.Note that a product bundling strategy yields much higherrevenues than an unbundling strategy in all four cases (Table3. Part B). However, note that the difference in revenues ishigher when conditional reservation prices are asymmetric(Cases 3 and 4 in l^ble 3. Part B) than when they are sym-metric (Cases 1 and 2 in Table 3. Part B).

P4: Mixed pruduei bundling can yield higher revenues ilumpure product bundling only when reservation priees lor thebundle vary. Pure pnxluct bundling yields equal or higherrevenues than mixed pnxluct bundling when reservatii>nprices do not vary.

P3 suggests thai product bundling strategies yield higherrevenues because they exploit consumers' willingness to payfor added value. In addition, by adopting a mixed productbundling strategy, a supplier can exploit the variation in thebundle reservation prices. If consumers vary in their valua-tions of the product bundle, offering only the product bundleleads to either a loss of consumers with a low reservation pricefor the bundle (at the high price) or a loss of potential revenuesfrom the segment with a high reservation price for the bundle(at the low price). Both altematives result in lower revenuecompared with mixed product bundling, in which a suppliercan accommodate all possible segments at optimal prices.

For example, in Table 3. Part B. note how mixed productbundling yields higher revenues only in one of the cases(Case 4) when reservation prices vary. In all other cases.mixed product bundling yields the same revenues as pureproduct bundling. The exact point at which mixed productbundling becomes superior to pure product bundling isdependent on the configuration of the conditional reserva-tion prices. As yet, we have no precise formula to determinethis point, though our simulation can determine which strat-egy is optimal as configurations change.

Although mixed product bundling is superior to otherbundling strategics in specific contexts, when a firm has mar-ket power or the benefits to consumers are not clear, mixedproduct bundling is far superior to the other strategies becauseof the current legal environmenl. Pure product bundlingstrategies by high-profile firms with market power are likelyto be challenged by the U.S. Department of Justice. Even ifthe company is not found guilt> in court, the legal battle withthe government may involve enormous legal costs and man-agement time. In such cases, mixed product bundling is thebest defense against pn)secutii)n because it is legal. Thus,implementation of the economic optimum must be temperedby legal considerations when strategies are implemented.

Pj: Combining a product with a price bundling .strategy is supe-rior to mere product bundling if consumers' conditionalre.servation prices (a) for the separate products and (b) forthe price bundle and the product bundle are asymmetric

Asymmetry between price and product bundles ciccurswhen one segment values the price bundle but not the inte-grated product bundle, and another segment values the inte-grated product bundle but not the price bundle.

No previous research addresses combining a price and aproduct bundling strategy, let alone its optimality. P<; statestwo conditions for the optimality of such a strategy. First,conditional reservation prices for the separate products mustbe asymmetric. If not. price bundles will gain no more rev-enues than will selling the products separately (by P|). Sec-ond, consumers' reservation prices for the price bundle andthe product bundle must be asymmetric. In this situation, thefirm can price the integrated product bundle to demand apremium price from the latter segment and can price theprice bundle to exploit the asymmetry in reservation pricesof the former .segmeni.

64 / Joumal of Marinting, January 2002

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An illustration for this proposition is the frequency withwhich companies combine a product and price bundlingstrategy in a variety of industries, such as information sys-tems and sound systems, in which consumers are presentedthe full array of separate products, price bundles, and (inte-grated) product bundies. The reason is the asymmetry inconsumer reservation prices for all these combinations.Some consumers value a CD player, others value a receiver,and stiil others value a good set of speakers. Also, someconsumers value an integrated system, whereas others liketo mix and match their own system and buy the separateproducts.

ObfactivaaofthaFirmThe literature on bundling has not dealt with any goals offirms other than profit or revenue maximization. Conse-quently, the propositions we formulate in this section havenot been addressed in any way in previous literature. Furtherresearch could refine and test these propositions.

An important alternative goal to profit or revenuemaximization may be maximizing market penetration.This goal is reievant for a new product, particuiarly inhigh-tech and Internet environments. In the latter case,rapid market penetration becomes paramount because arapidly growing product has the potential to monopolizethe market ("winner takes all"; see Liebowitz and Margo-lis 1999). so profit maximization may be secondary, atieast initially. In such contexts, bundling a new productwith an existing product can be a critical strategy forsuccess.

Price bundling. We offer the following proposition:

P̂ : When a firm's goal is to maximize market penetration firstand profits second, pure price bundling either is the beststrategy or is no worse than any other strategy.

Comparing pure price bundling with unbundling isstraightforward. If a firm strives for maximum penetration, itwould price the separate products in an unbundling strategyat the minimum of consumers' reservation prices for the sep-arate products. In a pure price bundling strategy, it wouldprice the bundle at the minimum of consumers' reservationprices for the bundle. However, from P|. the revenues fromthe latter strategy will always be higher than (in case ofasymmetric reservation prices) or equal to (in case of sym-metric reservation prices) the revenues of the formerstrategy.

As we discussed previously, the profitability of mixedprice bundling stems from selling separate products to con-sumers with a high valuation for them, while seliing thebundle to the other consunKrs. In otfwr words, its optimal-ity is based on excluding some consumers from buying ailproducts in the bundie. However, if the company's primeobjective is to increase market penetration, it wiii not wantto exciude any consumers from iniying one of its products.Therefore, if the goai is market penetration, pure pricebundiing will be superior.

In addition, pure price bundling may have other strate-gic advantages. Pure price bundiing may serve as a meansof subsidizing trial. Some segments may not even haveheard of the new product. In that case, pure price bundiing

provides both visibility and trial for the new product. To theextent that visibility and trial are important in new productdiffusion (Rogers 1995), they provide additional reason.sfor pure price bundling. Although this proposition mayappear to be a bold statement at first, many real-life exam-ples provide some validation. New software is oftenincluded for free with purchased software or hardware(e.g., Microsoft's Money with the Windows operating sys-tem). Free samples of new products are often included withalready existing products in fast-moving consumer goods.New financial services often are free at first to existing cus-tomers; when they are well adopted, firms start to chargefor them.

The following example can explain the intuition ofthis proposition. Consider the marketing manager atMcDonald's responsibie for the introduction of a newitem, the McFlurry. To maximize market penetration, themarketing manager can bundle the McFlurry with eachsandwich on the menu at the additional price that equalsthe lowest that any consumer is willing lo pay for it. Thisis a strategy of pure price bundling and will ensure thatevery consumer of any of McDonald's sandwiches triesthe McFlurry. Thus, the strategy provides the new productwith high visibility, trial, and penetration. In addition, ifconsumers value the McFlurry more than the additionalprice added to the bundle, the strategy creates consumersurplus for the bundle. In every other price strategy forthe McFlurry. its market penetration would be equal orless.

However, pure price bundling of separate products isillegal if the supplier has market power. In such situations,firms may need to adopt mixed price bundling even whenpure price bundling would be superior. Here again, whenfirms implement bundling strategy, they must temper what iseconomically optimum with what is legally prudent.

Product bundling. For product bundles, we formulate thefollowing proposition:

P7: When a firm's goal is to maximize market penetration firstand profits second and a product bundle is possible, pureproduct bundling is as good as, if not better than, any otherstrategy: the only exception is the case in which con-sumers' conditional reservation prices (a) for the separateproducts and (b) for the price bundle and product bundleare asymmetrically distributed. In the latter case, combin-ing a pure price bundling strategy with a pure productbundling strategy may be optimal.

The tirst part of this proposition is in line with Pg. Thatproduct bundling also creates added value for consumers onlymakes the case for the optimality of pure product bundlingstronger. Again, pure product bundling will be superior tomixed product bundling when the optimality depends cru-ciaiiy on the exciusion of certain buyers from buying the bun-dle. The optimality of pure product bundling over unbundlingis even clearer, because a supplier can capture added value byselling the product bundle, compared witti selling die separateproducts. In addition, pure product bundiing may provide anew product with higher visibility and trial. Moreover,because it involves a product bundle, the link with perceivedfunctionality is even clearer than in the case of price bundles.Thus, pure product bundling is superior to any other strategy.

66 / Joumal Of Mwliallng, Janyary 2002

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The second part of the proposition runs parallel to P5 for thesame rationale as for that proposition.

We now can fully appreciate Microsoft's bundlingstrategy of Internet Explorer from an economic perspec-tive. Considering Microsoft's objective of rapid marketpenetration for Explorer, a pure product bundling strategyas implemented by Microsoft makes perfect economicsense. By integrating the browser into the operating systemat no extra charge, Microsoft effectively maximized itsmarket penetration by maximizing the browser's visibilityand trial and also maximized consumer surplus. However,Microsoft clearly misjudged the optimaiity of a pure prod-uct bundling strategy from a legal perspective. The iegalityof the practice is not always clear, because it depends on ajudgment of a firm's monopoly power and the offsettingbenefits of its product bundiing. Even if Microsoft werelegally right and won on appeai, the whole investigationand court case cost the company dearly. The case con-sumed a great deal of top management's time and atten-tion, it lowered employee morale, talent left to join com-petitors, and the firm lost approximately 35% of its marketvalue.

Compatition

The literature on how competition influences the optimaiityof different bundling strategies is rather thin. Furtherresearch in this area would be fruitful.

Price bundling. To discuss the impact of competition onthe optimaiity of different bundling strategies, we again startwith our base case, in which the supplier cannot develop aproduct bundle.

Pg: In competitive markets, a mixed price bundling strategydominates a pure price bundling strategy.

Research by Matutes and Regibeau (1992) supports thisproposition. In competitive markets, from oligopoly to per-fect competition, companies cannot differentiate them-seives from competitors by bundiing. Even if a pure pricebundling strategy were more profitable, the strategy wouldencourage competitors to offer both bundled and separateproducts. This mixed bundiing strategy would be moreattractive to consumers and consequently would cut intothe market share of the firm using pure price bundling.Consequently, this firm would also adopt a mixed pricebundiing strategy. It can be shown mathematically that inthe long run, both companies sustain their mixed pricebundling strategies (Matutes and Regibeau 1992). How-ever, all the firms could be better off if they could colludeon an unbundling strategy, because then they could committo not offering a discount on the bundle, which wouldincrease their combined profits. Of course, price collusionis illegal.

It is still unclear how a mixed price bundling strategycompares with an unbundling strategy from a competitionperspective. Anderson and Leruth (1993) provide some rea-sons firms may prefer unbundling to mixed price bundlingin highly competitive environments. First, mixed pricebundiing is a readily observable strategy and thus an easysignal to trigger a response from competitors. Conversely, ifa firm's marginal costs were unobservable and declining.

retaining its prices at the same ievel and thereby increasingits profits would not be detected by competitors. Second,unilaterally adopting a mixed price bundling strategy couldlikely trigger aggressive pricing by competitors. Third, firmsmay tiy to avoid competing on multiple domains, in essenceon a separate-products market and a bundie market. How-ever, Atiderson and Leruth's (1993) assumption that firmsrecognize the implications of embarking on a mixed pricebundling strategy—that is, lower profits for both firms—isquestionable.

An illustration of Pg is the pervasiveness of mixed pricebundling strategies in highiy competitive industries, such asteiecommunications and banking services. In telecommuni-cations, the degree of asymmetry in consumers' conditionalreservation prices is high. Most telecom products are more orless substitutes (cellular versus fixed telephony). Thus, therevenue potentiai from price bundling strategies is substan-tial. But competition is so intense that firms cannot force pureprice bundles on consumers. Therefore, the number of call-ing plans (various forms of bundling) has exploded to accom-modate the superiority of mixed over pure price bundling.

Product bundling. The analysis is simiiar in the casewhen a supplier can introduce a product bundle, though witha slightly different outcome. We propose the following:

P9: In competitive markets, if the supplier can introduce aproduct bundle, mixed product bundling strategies domi-nate unbundling and pure product bundling strategies.

This proposition is consistent with Pg and can be sup-ported, at least partiaily, by the same logic. Competitivemarkets preclude clearly differentiated positions. Even if afirm develops a unique, superior product bundle, a differen-tiated position is not sustainable. Competitors imitate theproduct bundle immediately, with substantial downwardpressure on prices. In addition, consumers who wish to mixand match products and compose their own system are leftunserved. This creates an opportunity for firms to escapeprice pressure by adopting a mixed product bundling strat-egy. A mixed product bundling strategy increases variety,which in turn increases consumer demand. This result willmotivate competitors to adopt and sustain mixed productbundling strategies (Matutes and Regibeau 1988).

An unbundling strategy is aiso not optimal. When adopt-ing an unbundling strategy, a company would foigo a prof-itable opportunity, namely, offering a product bundie to con-sumer segments that value integration at a premium price.Note that if markets are not competitive, in the sense thatproduct bundles can create sustainable differentiation, pureproduct ixindiing can be optimal. In this case, the productbundle will provide the company with a iocal monopoly andthus reduce price competition (Chen 1997).

To clarify P9, consider Apple's strategy. Initially, theApple Macintosh was sold as a pure product bundle of hard-ware and software. This strategy was optimal because theApple Macintosh was unique in performance and ease ofuse as a result of its graphicai user interface. However, astime went on and other suppliers rapidly gained on Applethrough product improvements, the Macintosh lost itsuniqueness. Consumers found more flexibility and choicepossibilities with competing suppliers, which led to a

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decline in Apple's market shares. At that time, a mixed prod-uct bundling strategy would have been superior for Apple.

Coats

Little work has been done in marketing or economics thatrelates costs to the optimal bundling strategies. Still, costsmay be as important to the optimality of bundling as are theother factors we identified. Therefore, costs warrant furtheracademic attention.

Three cost aspects appear relevant to bundling: the rela-tive contribution mai^in, economies of scale and scope, andadditivity of costs in the bundling process. Note that theimmediate impact of price bundling is to increase revenues.The relative contribution margin is relevant to pricebundling because it increases profits from revenue increases.Economies of scale and scope are relevant to price bundlingbecause they decrease the costs of additional sales. Additiv-ity of costs is relevant to product bundling because it deter-mines the extra margin that the product bundling strategygenerates.

However, costs will not be pertinent to the optimality ofmixed versus pure bundling strategies because the costs donot vary much between these two strategies. For example,the costs for an opera house of selling only season tickets(pure bundling) or season tickets as well as individual tick-ets (mixed bundling) wiii not be very different.

The relative contribution margin is equal to (price - vari-able costs) divided by price. Products such as home appli-ances, with high variable costs relative to price, have a lowcontribution margin. Products such as software, with low vari-able costs relative to price, have a high contribution margin.

Economies of scale are decreases in costs per unit as thescale of operation increases. Economies of scope aredecreases in costs per unit of two or more products due toproducing or marketing them together instead of separately.Economies of scale and scope are often present in technol-ogy and telecommunication markets.

Almost all articles on bundling assume costs to be addi-tive. The term additive means that the ratio of the costs ofthe bundle to the sum of the costs of the separate products isequal to 1 (for an exception, see Hanson and Martin 1990).A variety pack of cereals is a good example of a price bun-dle with approximately additive costs. Subadditive costs, inwhich the ratio is smaller than 1. or superadtUtive costs, inwhich this ratio is greater than I, have lai^ely gone unre-searched. The multimedia PC is an example of a productbundle with subadditive costs. Because the modem, CD-ROM, and speakers can be miniaturized (no casing, separateports, cable, and so forth) and integrated in the PC, produc-tion, packaging, and distribution costs are lower than thesum of the costs of the separate products. A turnkey com-puter network is a product bundle with superadditive costs.Beyond the costs of the separate components (such asserver, terminals, network software, and application soft-ware), the supplier has extra costs in seamiessiy integratingthe network. Again, we first develop the base case in whichonly price bundles are possible.

Price bundling. We can formulate the followingproposition:

Pin: The profitability of price bundling is likely to be higherthan that of unbundling (a) the higher the relative contri-bution margin and (b) the stronger the economies of .SL-UIL-or scope.

The rationale for P|Oa is that discounts on high-marginproducts are better able to raise profits than discounts onlow-mai^in products, assuming constant price elasticity. Forexample, consider a marketing manager at Sears who is con-sidering a bundle of a blender and a food processor. Assumethat the blender has variable costs of $80 and sells for $100and the food processor has variable costs of $700 and sellsfor $800. I f Sears offers a bundle of the two products at $810(amounting to a 10% discount), it gains only $30 contribu-tion per bundle sold. Because this bundled offer will cut intoregular sales mai;gins, the sales increase must be 300% tomake bundling profitable. Compare this with a marketingmanager at Microsoft who considers offering a temporaryprice bundle, in cooperation with original equipment manu-facturers, of Micro.soft Windows and Microsoft Oftice.Assume that these products sell al $100 and $60. respec-tively, and have variable costs of $4 and $5. respectively. IfMicrosoft prices the bundle at $144 (10% discount), it wil lgain $ 135 in contribution per bundle sold. A sales increaseof only 12% will make bundling profitable. Therefore,assuming constant price elasticity and equal incremental andcannibalized sales, Microsoft will benefit more from a pricebundling strategy than Sears wil l .

When economies of scale exist, an increase in sales vol-ume wil l lower costs and increase profits. Because pricebundling can increase sales, it will be more profitable thanunbundling strategies when economies of scale are present.When economies of scope are present, a firm can jointlyproduce and market a portfolio of products more economi-cally than doing so separately. Price and product bundlingcan increase sales of a portfolio of products. Thus, suchbundling strategies are more profitable than unbundlingstrategies when economies of scope are present.

Product bundling. Product bundling strategies almostalways call for attention to costs of the bundling process.This situation contrasts sharply with price bundling, inwhich the cost structure of the individual products is impor-tant. The reason is that in price bundling, the bundled prod-ucts do not change.

Pii: If costs of product bundling are subadditive, a productbundling strategy is always superior to an unbundlingstrategy, irrespective of consumers' reservation prices, thefirm's strategic objectives, or the nature of competition.

In many cases, product bundling will generate diversecost savings. The multimedia PC is a good example of suchcost savings. By internalizing the CD-ROM in the PC, costscan be saved in the casing and the connection of the CD-ROM. The same goes for the speakers and the modem. Also,on-site assembly costs may be lower. Costs that wouldaccrue from connecting and installing separate componentson-site. such as the CD-ROM and modem, to the reseller(e.g.. CompUSA) or the manufacturer directly (e.g.. Dell)are avoided by the "out of the box" multimedia PC.

In case product bundling generates extra costs, the opti-mality of product bundling depends on the trade-off

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between the extra costs generated and extra revenues fromthe added sales to consumers who appreciate the productbundle. The existence of system integrators in many indus-trial maricets (Wilson, Weiss, and John 1990) points to thepotential profitability of such a strategy. System integratorstypically integrate a set of different products into a system.For example, companies can buy an entire computer net-work through a system integrator, such as Andersen Con-sulting, versus mixing and matching the separate compo-nents, such as server, terminals, and software, fiomdifferent vendors. In many cases, companies will contractfrom a system integrator, though its total price may behigher.

Consumars' Perceptions of Bundies

The previous discussion is largely driven by economic prin-cipies. However, in the past two decades, considerablebehavioral research has focused on consumers' perceptionsof bundles. Insights developed from these studies may helpcompanies in fine-tuning their formulation and presentationof bundling strategies. We synthesize the main conclusionsof this literature in these final propositions on optimaiity.Previous research shows support for these propositions.Research in this area is so recent and the area is so rich withphenomena that further research promises to be quitefruitful.

Most of the behavioral research on bundling is groundedin prospect theory (Kahneman and Tversky 1979) and men-tal accounting (Thaler 1985). Central to prospect theory isthe value function. In prospect theory, outcomes are framedas positive (gains) or negative (losses) deviations from a ref-erence point. The value function is concave in gains andconvex in losses. Mental accounting suggests that peopleperceive multiple gains as more rewarding and multiplelosses as more punishing than a single gain and a single lossof the same amount. What are the implications of these prin-ciples for bundling strategies?

Pi2: For price information, it is optimal for companies to (a)integrate all price information in a single bundle pricerather than present it in a list of separate product pricesand (b) separate the bundle discount in multiple savingsrather than present it as a single saving.

This optimaiity is driven by considerations on purchaselikelihood as well as subsequent consumption behavior.Several researchers show that presenting consumers with asingle bundle price lowers price sensitivity and increasespurchase likelihood (Drumwright 1992; Gaeth et al. 1990;Yadav and Monroe 1993). The theoretical rationale is thefollowing: Consumers perceive a single loss as less punish-ing than multiple losses. Therefore, they value a single bun-dle price more than one that explicitly sums the prices of theseparate products.

For example, suppose consumers are confronted withtwo possible offerings for portable PCs:

a. Take advantage of this great deal: Buy now a portable PC foronly $2,500 and get a Deluxe Case at $99 and printer HPDeskJet 932C at $199. or

b. Take advantage of this great deal: Buy a portable PC. with aDeluxe Case and printer HP DeskJet 923C for only $2,798.

suggests that consumers prefer Offer b to Offer a.Therefore, it is optimai for companies to present consumerswith a single buiidle price. Also, this mechanism sometimesenables consumers to buy more than they would if productswere offered individually.

In conuast, consumers prefer their gains segregated.They perceive multiple savings in the bundle as more favor-able than a single saving (Johnson, Herrmann, and Bauer1999; Mazumdar and Jun 1993). Consider the following twoofferings as illustrations:

a. Take advantage of this great deal: If you buy all your tele-com services from AT&T, get $200 cash back on your tongdistance calls and a credit of $100 on intemational calling.

b. TVike advantage of this great deal: If you buy all your tele-com services from AT&T, get $300 cash back.

Research shows that consumers value Offer a more thanOffer b.

Considerations of consumption behavior also may drivethe optimaiity of presenting consumers with a bundled pricerather than a list of separate product prices. Recent researchhas found that consumers who buy a bundle of products at abundled price consume less of the bundle than do consumerswho are presented with separate product prices (Prelec andLoewenstein 1998; Soman and Gourville 2001). Consumerswho buy a bundle of products at a bundled price perceive fargreater ambiguity on the sunk cost of their purchase than doconsumers presented with separate product prices. Thisgreater ambiguity "decouples" the sunk cost of the purchasefrom the extra benefit of consuming the entire bundle. Inother words, consumers who are presented with a bundledprice will account less for the sunk costs of their purchasethan will consumers who are presented with separate prices.

Consider two consumers, John and Robert, who havepurchased tickets for a series of four NBA games at $20each. John is presented with a bundled price of $80, whereasRobert has paid $20 separately for each of the four games.Because of their mode of payment, Robert has less ambigu-ity of the cost of each ticket ($20) than does John. As such,the sunk cost of each ticket looms larger for Robert than itdoes for John. For this reason, prior research shows thatRobert has a higher likelihood of seeing all four games.

Although most research indicates support for P12, theremay be exceptions to this general guideline. For example,Morwitz, Greenleaf, and Johnson (1998) show that parti-tioned pricing, in which a firm divides a product's price intotwo mandatory parts, the product and shipping charges, canincrease consumer demand because of iower recalled costs.This example suggests the need for more research on poten-tial causes for the discrepancy. Important topics in thisresearch could be the price differential between products inthe bundle, the salience of the product and bundle prices,and the cognitive effort invoived in evaluating the bundie.

Conclusion and Directions forFurther Research

Although the economics literature has some in-depth analy-ses of bundling in specific situations, the topic has enjoyedonly scattered research in marketing. Moreover, the pub-

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lished studies are fuzzy about some basic terms and princi-ples. In addition, the literature lacks a unifying classificationof the strategies, clear norms for the legality of the strate-gies, and a comprehensive framework for the optimality ofbundling strategies. We try to address these limitations. Thisarticle provides a new synthesis of the field of bundlingbased on a critical review and extension of the marketing,economics, and law literature. This article makes the fol-lowing three contributions:

First, the article defines bundling terms and principles toreveal a new. rich set of bundiing strategies. It presents aciassification of these strategies that provides a clear under-standing of the relationship among them. In particular, theclassification shows that price bundling and productbundling are independent strategies, which firms can mixand match to best meet consumer demand.

Second, this article reviews the legal literature to articu-late certain fairly simple conditions that guide the legality ofbundling strategies. In particular, it clarifies the currentambiguity in case law by identifying the per se rule and therule of reason. The exposition distinguishes between issuesof law. in which clear norms are discernable. and issues offact, in which empirical cases may be quite ambiguous andcontroversial.

Third, the article develops a framework of 12 proposi-tions that prescribe the optimal bundling strategy dependingon five important factors. The literature contains partialempirical or mathematical support for only three of thepropositions (P| , Pg, and P12). and it imprecisely describesone of the propositions (P2). All the other eight propositionshave been proposed here for the first time. The propositionssynthesize a body of knowledge about the trade-offs man-agers must make when choosing among bundling strategiesin specific contexts. The article emphasizes that such trade-offs should account for the legality as well as the economicoptimality of a bundling strategy.

Impiicationa for Markatii^ Managamant

Our synthesis offers answers to the following managerialconcerns.

When is bundling illegal? The conux)versy about andprobable strategic errors in the recent Microsoft case showthat bundling is not well understood, even by well-financedmajor corporations. History shows that engaging in illegalor even potentialiy iliegai bundling strategies can be costly.The legal battle takes many years, costing valuable manage-ment time and large financial resources. An eventual con-viction is even more costly, because in most cases, judgesmandate monetary penalties or radical organizationalchanges. We have defined clear rules by which managerscan easiiy assess whether a certain strategy is iilegal. Mostimportant, firms with dominant market power that considerimplementing pure bundling strategies should scrutinize thelegality of their bundling strategy. Although pure pricebundling for such firms is illegal at all times, pure productbundling may be legal if the bundle offers substantial addedvalue to consumers that cannot be achieved when firms sellthe bundled products separately. Faced with these legal con-straints, companies with dominant market power may find it

optimal to resort to value-added product bundling for long-term benefits rather than to short-term price bundling togain market share. In this respect, it would have been betterfor Microsoft to have invested in unambiguous value-enhancing integration of Internet Explorer and Windows atthe start, instead of mereiy packaging the browser and theoperating system. This iatter initial strategy triggered theoriginal lawsuit.

What are tiu drivers cfthe optimality of bundling? Thisarticle shows that bundling is profitable fora variety of reasonsand thus deserves more attention firom managers. In particular,we find that price bundling of existing products may be opti-mal because it is a form of price discrimination between dif-ferent consumer groups and because it decreases price sensi-tivity and increases individual consumers' purchaselikelihood. We also find that price bundling yields larger profitincreases the higher the relative contribution maigin and thestronger economies of scope and scale are. Thus, services orgoods with high development costs—such as high-tech prod-ucts—^generally have more to gain from price bundling thando goods with high maiginal costs, such as consumer durablesor industrial goods. We find that product bundling of existingproducts may be optimal because it creates added value forconsumers, saves costs, and creates differentiation in highlycompetitive markets. We also ai;gue that bundling a new prod-uct with an existing product is an ideal introduction strategybecause it allows extraction of more consumer surplus at equalsales levels. In addition, price bundling will increase the visi-bility and trial of the new product, which are important in newproduct adoption by consumers. Product bundling may alsoimprove consumers' perceptions of the functionality of thenew product when it is bundled with existing complements.

This discussion suggests that firms that exploit opportu-nities offered by bundling will enjoy increases in marketshares and profits. Thus, developing expertise in designingbundling strategies may be of prime importance in achievinglong-term success. The guidelines we posit in this articlemay be the first step in enhancing managerial insights on theoptimality of bundling.

Choose mixed or pure bundling? Prior research gener-ally views mixed bundling as at least weakly superior topure bundling. Our discussion shows that this literature maybe misguided because it assumes that pure bundling cannever be optimal. In contrast, we propose that mixedbundling is superior to pure bundling only in highly com-petitive environments or when consumer reservation pricesvary a fair amount. Moreover, we argue that for new prod-ucts, pure bundling strategies tend to outperform mixedbundling strategies. Pure bundling strategies necessarilybring all consumers of an existing product in contact withthe new product, so they grow aware of it and can easily tryit out. Thus, developing expertise on the proper choicebetween pure bundling and mixed bundling is important forusing bundling strategies profitably.

LimhaUkms and Fwthar Raaamch

This article has several limitations that further researchcould address. First, product bundling is relatively new. andits use in high-tech markets can benefit from further

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research. TVvo questions seem especiaiiy pressing: What fac-tors drive customer preferences for product bundles in high-tech environments? and How can suppliers optimally orga-nize themselves to offer product bundles when they do nothave competence on all products in the bundle?

Second, limitations of time and space prevented a formalmathematical proof or empirical validation for each of thepropositions. The field would benefit especiaiiy fromresearch that defines the domain and validity of the newlyproposed propositions. The most promising areas of furtherresearch appear to be the impact of competition and altema-tive strategic objectives on the optimaiity of bundiing.Although prior analytical research has developed someinsight on the impact of competition, it is iimited mostiy tomonopoly and relatively simpie forms of bundling.

Third, the article does not indicate the relative impor-tance of each of the conditions for optimaiity. Intuitively,for price bundling, we suspect that the distribution of con-ditionai reservation prices is probably the predominantcondition for optimaiity. The reason is that price

bundiing, by nature, tries to exploit the heterogeneity inconsumers' conditional reservation prices. For productbundling, costs seem to be the important condition foroptimaiity. The reason is that costs determine the amountof value firms can build into the product bundle. Empiri-cal research that tests our intuition on this issue would befruitfui.

Finally, this articie focuses on the optimaiity of bundlingtoward the end user (either consumers or businesses). It doesnot discuss the optimaiity of bundling in channels (i.e., theoptimaiity of bundling by a manufacturer to a retailer). Anexample of the latter is full-line forcing, in which a manu-facturer forces a retaiier to carry an entire line of products.Research into this area should be fruitful.

In summary, the current article underscores the central-ity of bundiing in marketing. It integrates research from avariety of perspectives to provide a deeper and more com-piete understanding of bundling than is as yet avaiiabie tomarketers. However, it suffers from several shortcomings,which we hope will stimulate further research in this area.

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