Juha Munnukka[1]
Minna Mattila
Anja Härkönen
FIN40014
Phone +358-14-260 2693
Fax +358-14-260 2968
E-mail: juhmunn@econ.jyu.fi
Bundle pricing in
As technological capabilities provide potential for new mobile services
there has also emerged a need for new innovative pricing schemes. Consumers
from other businesses have shown distinct preference for flat-rate and bundle
pricing. Through our theoretical and case analysis we found that bundle
pricing approach is parallel by third-degree
price discrimination. And, furthermore we were able to draw the three necessary
conditions for price bundling to occur: i) firm must
have some market power; ii) there can at best be imperfect arbitrage
opportunities for consumers; iii) and consumers have different price elasticity
of demand. It was also shown that mixed bundle strategy was more profitable
than pure bundle strategy. As there is also strong
consumer preference and evidences that it would best support the diffusion of
usage of new mobile services, we found bundle pricing approach to be most
appropriate for new mobile services.
Keywords: pricing, bundling, mobile services, price discrimination
On a common marketing tactic, bundling is
defined by Guiltinan (1987) as “the practice of
marketing two or more products and/or services in a single package for a
special price” (Yadav & Monroe 1993). Research
has examined intent to purchase through determining what to bundle together and
when bundling is a prudent business strategy (e.g. Ansari
et al. 1996); Venkatesh & Mahajan
1993). The Literature has also addressed optimal pricing and framing (Harlam et al. 1995; Kaichker et
al. 1995) and consumer preferences for bundles (Fishburn
& Odlyzko 1997; Strouse
1999). The price bundling literature, however, has not focused much attention
on the non-price dimensions of price bundling (Gillian & Kimberly 2001).
In mobile services industry pricing practices
are yet to be defined and pricing is at the moment in flux – whether to use micro
payment (Fishburn & Odlyzko
1997) or bundle pricing scheme; and should there be emphasized the monetary or
non-monetary aspects? For example, Kollmann (2000) found
in his studies, that customers of telecommunication, who are willing to swap
providers, will make their decision on price first. Innovation management for
telecommunication products is thus said to be a question of pricing. Features
and development of the wireless business makes it therefore necessary to
develop and invent new methods of pricing.
The bundle pricing should support the
diffusion of the usage of new mobile services, and the formation and
development of mobile services environment. In this paper we examine the bundle
pricing and its capability to provide the needed incentives for consumers of mobile
services business. The mobile services environment includes at least three
co-operating parties: operator/service provider, content provider, and consumer
(technology provider is also often included). The publicly presented price
should be transparent, unambiguous, and thus risk reducer that it would best
support the diffusion advancement. And still, it should include charges from
the all co-operating parties.
There have been suggested two alternative basic
pricing schemes for mobile services business – micro payments and bundle
pricing. Despite the plans that consumers would in the future pay for each
bought items through micro-payment schemes, it is unlikely to be the dominant
mode of pricing for established producers. Economic arguments and observations
of market behaviour show that consumers are reluctant to pay multiple micro-payments.
(Fishburn & Odlyzko 1997)
It has also noted that mobile services
cannot be distributed without a charge – free of charge services cannot exist -
and possibly arising congestion should be managed somehow. Therefore the optimistic
law of Metcalfe states that the benefit of users grows with the square of the
number of other users in the network is only true as long as the marginal user
does not cause congestion (Jonason & Eliasson 2001). Innovation management for telecommunication
services is thus a question of pricing (Kollmann
2000).
The objective of this paper is
to track down an ability of bundle pricing to create and support the diffusion
and perceived value of mobile services. In this paper we have pursued
theoretical approaches in examining the adoptability of bundle pricing for
mobile services. Main incentive for studying suitability of bundling in mobile
service business is that consumers have expressed a clear preference to paying
from bundles of services rather than multiple micro-payments from each service
separately. Especially, as in the micro-payments strategy the strategic role of
pricing as competitive tool would be restricted.
New features of mobility and
personalization over mobile devices enable new types of mobile commerce
applications (Jonason & Eliasson
2001). The unique characteristics associated with services compared with
products include intangibility, inseparability of production and consumption,
heterogeneity, and perishability. Since services themselves are intangible, one
of the most tangible aspects of the offering is the price of the service.
(Finch et al. 1998) According to Kollmann’s (2000) studies
customers of telecommunication makes their decisions on price first. And also
from a company point of view according to Mckinsey
Company’s consultants, the fastest and most effective way for a firm to achieve
maximum profit is to get its price right (Tung et al.
1997).
In mobile environment the providers of
content and applications contribute value to services, but rely on the network
operators to charge the end-user (Jonason, 2002). Thus,
operators are to be more or less service integrators in m-commerce as seen in
figure 2. The content providers bring the richness while the operators bring
the reach (Jonason & Eliasson
2001). By providing technical capabilities and environment for the use of
service and content providers, the operator plays an important role but is not the value provider perceived by
consumers (Mylonopoulos 2002). E.g. DoCoMo’s I-mode is successful Japanese operator which users
are charged for surfing Web pagers and sending or receiving e-mail 0.3 yen per
packet of 128 bytes of transferred data. The billing of these services is
exclusively handled by NTT DoCoMo costing the content
provider 9 per cent of the revenue from the end-user while the remaining 91 per
cent of the content charge goes to the content provider. (Jonason
& Eliasson 2001)
The most common arrangement is also that
operators handle the billing towards the end-users, while the providers add
value to the end-users in the form of branded services and applications. It is thus
debated, how end-users revenues are to be divided between these third party
providers and the operators. (Jonason & Eliasson 2001)
In general, one of orientations for creating
innovative pricing schemes is the aim that consumers would become used to the
particular features of their products/services that they would find it hard to
change to another system. Ross (1984) has suggested in his studies that effective
price changes are based on anticipated reactions of customers and competitors,
rather than jus the firm’s own costs and circumstances. (Finch et al. 1998)
The flat rate option (in which bundle
pricing is also based on) was usually selected by over 50% of the customers who
were making fewer local calls than the 50 covered by the measured rate basic
charge, even though they clearly would have benefited from per-use pricing. (Fishburn & Odlyzko 1997) This
is a concrete evidence of the aspects of perceived values related to pricing.
Monetary is only one perceived aspects which addition there can be identified
multiple non-monetary attributes that affect to customer perceived values. Chen
has studied processes of perceived pricing. According to his definition, the perceived
price can be defined as the customer’s judgment about a service’s average price
in comparison to its competitors (Chen et al. 1994).
There have been experimented and suggested
multiple charging models for mobile and internet usage. These methods will be
probably merged to a combination which would best support the business goals of
the parties in a question. For example following have been mentioned by Cushnie and Hutchison (2000):
•
usage
based charging, in which consumer is charged according to realized consumption,
•
fixed
price, is non- or partly metered pricing scheme which does not change according
to the usage,
•
bundle
pricing, is used for pricing/billing of bundles of services or products with a
lump sum,
•
Paris-Metro,
is a pricing method especially for congestion management purposes, the pricing
scheme is mostly self-regulating the congestion with two-piece pricing model,
•
packet
charging, is used in new e- and mobile services which uses packet-based
technology, and
•
edge pricing, is characterised by concentrating
charging functionalities at the edges of the network (e.g. access routers) and
has become one of the central paradigms for charging Internet services. (Reichl & Haidegger 2002)
Typically we find arguments which favour
the producers of charging on a fixed-fee basis especially as consumers are also
willing to pay more to avoid per-use pricing. It seems likely that subscription
or fixed-fee approaches are likely to be dominating also in mobile services
business. We strongly suspect that pure à la carte
pricing schemes will not be successful in the marketplace, even though it will
probably find some niche areas to be applied.
In mobile services business there arises
problems of which dimensions/services/content should be charged and which
offered free of charge. And yet which dimensions are chargeable from the
technological point of view. According to Jonason (2002)
technically more complex products are faced with this kind of pricing problems
such as the delivery of content and applications to mobile devices, typically
news, and banking and entertainment services. When products are
multidimensional and the producer has difficulties determining which dimensions
are in demand and which dimensions can be charged for. In such a situation the
product or output (Hayek 1945) is not well defined and, hence, neither is
price.
To show more explicitly the problem of
mobile services pricing, below is presented some pricing cases from mobile
telecommunication industry:
At the moment, operators are experimenting
with a broad range of pricing structures for GPRS network access. These include
introductory unmetered packages (operators in
In case of DoCoMo
the subscriber’s bill depends on usage of the I-mode function on the phone, and
the number of fee-based I-mode content services he/she subscribes to. There is
a basic fee of 300 yen per month to access the I-mode service which is paid via
the subscriber’s phone bill to NTT DoCoMo. Since
I-mode is based on packet-data transmission, users do not pay for the time they
are connected to a service. Instead they are charged according to the volume of
data transmitted. (Davis 2002; Jonason & Eliasson 2001)
Telecom Italia Mobile SpA
(TIM) launched its business GPRS service in 2001 with a base price of 30 euros
per month for 60 mega bytes of data transferred. Mobilkom
Austria AG, with 2.8 million customers the largest operator in
The flat-rate pricing plans may not always be
most economic schemes for consumers, and there might be substantial marginal
costs in providing such services, but the strong consumer preference will force
the mobile service providers to adopt the bundle and flat-rate pricing schemes
to mobile services business. As Baumol asserted that consumers
derive a positive utility from fixed pricing, it appears to be a major factor
that will favour fixed-fee schemes. Content producers can take advantage of
this preference by charging higher prices than they would if consumers behaved
more as utility maximizers. (Fishburn
& Odlyzko 1997)
By definition telecommunication services bundling
is the packaging of different telecommunications services for customers.
Usually, telecommunications bundling simply refers to local and long-distance
services, but it is also used to describe the combination of either or both of
those service with Internet access, cable television, wireless, and any other
service broadly described as telecommunications. (Strouse
1999)
According to the Stigler’s and
By applying findings above to Carroll’s
discoveries we are able to set conditions under which bundle pricing is
profitable strategy for a mobile services company. Carroll et al. (1999)
discovered that a company should cover the three necessary conditions for price
discrimination to occur. Which are: i) the firm must
have some market power; ii) there can at best be imperfect arbitrage
opportunities for consumers; and iii) consumers have different price elasticity
of demand. (Jeitschko 2001)
In generally, according to Schmalensee a seller faces three alternative strategies to
offer her or his products or services (Venkatesh &
Vijay 1993):
1. Pure
components: the seller
prices and offers the component products/services as separate items, not as
bundles.
2. Pure
bundling: The seller
prices and offers the component products/services only as a bundle and not as individual
items.
3. Mixed
bundling: The bundle as
well as the individual component products/services are priced and offered
separately.
Adams and Yellen
(1976) argued that mixed bundling at least weakly dominates pure bundling.
Moreover, McAfee, McMillan, and Whinston (1989) have
shown that, while mixed bundling virtually always strictly dominates pure
bundling, the optimal bundle price is sometimes greater than the sum of the
prices of the individual goods (Salinger 1995). When valuing pricing strategies
for new mobile services, there should be laid few goals, which are expected to
be covered. These goals are attendance maximization, service usage
maximization, and surplus maximization (Ansari et al.
1996). The optimal number of items to be
included in a service bundle for a profit-maximizing firm that uses pure
components, pure bundling, or mixed bundling strategies is determined (Venkatesh & Vijay 1993).
The context of bundle pricing approach
covers is complex and there are several aspects that should be considered when
choosing right strategy (see above). The bundle context includes following
areas: price segmentation, price discrimination, and product range restriction,
reduction in classification /processing costs, scope economies, consumers’
search economies, and risk reduction. (Venkatesh &
Vijay 1993) In this paper we will highlight the areas of price segmentation,
price discrimination, and risk reduction.
Some examples of practices of using bundle
pricing (Strouse):
Wireless providers have bundled services as
a competitive differentiation tactic. Cellular providers
bundled airtime minutes into their service offerings to serve as a competitive
weapon against their local competitors. PCS providers, eager to attract the
customers of cellular providers, have leveraged the digital capabilities of the
PCS technology to bundle news and stock quotes, messaging services, and other
enhanced services in the basic price of the wireless service. Paging services
frequently offer stock quotes and voice mail in their subscription prices.
Local exchange carriers have discovered a
synergy between their high-speed digital subscriber line (DSL) offerings and
Internet access. IXCs have found markets by bundling
long-distance and other services such as Internet access. MCI offers its
long-distance subscribers a lower-than-market price for Internet access. In
another example of bundling, in the
The arguments in favour of bundling are
thus strong, and suggest that à la carte or unit
pricing will not be the dominant mode of commerce in information goods.
Observation of Adams and Yellen shows that mixed
bundling items are offered for sale separately, (and in combination, but with
the price of the individual items higher than they would be otherwise) is
always better than pure bundling (items are available only in combinations).
Furthermore, bundling is most appropriate
for producers with an established brand. (Fishburn
& Odlyzko 1997)
In online service area, it is common for
customers to pay for larger blocks of time than they used. The reason is that
there exists a need for insurance
(predictable costs), overestimation of usage, and a hassle factor (whether each
call is worth the money or not). In addition to the consumer preference for
flat-rate and bundle pricing, there are reasons for producers, especially in
areas where network externalities are important, to also like these plans.
These factors are part of a general preference
by consumers for simple and predictable pricing. (Fishburn
& Odlyzko 1997)
Information goods are characterized by
negligible marginal costs, and therefore arguments in favour of bundling are
stronger for them than for physical goods. Bundling arguments show that
producers can obtain more revenue by combining disparate items, since that
allows them to exploit uneven preferences that consumers have for different
goods. In most situations bundling is advantageous to the producers. (Fishburn & Odlyzko 1997)
When using a flat-rate or bundle pricing,
there should not be used pure single price strategy as there are related
obvious shortcomings. First, the firm
is clearly leaving excess money on the table for many buyers who are willing to
pay more (i.e. consumer surplus). These high-end buyers may perceive
significantly greater value from purchasing this product, relative to other
buyers. Second, the firm leaves
nearly half of the market unsatisfied, even though it could serve it at prices
above the unit variable cost. In industries with high fixed costs, serving
those additional customers is very tempting, and possibly very profitable. And
by ignoring these buyers, the firm leaves wide open an opportunity for low-cost
competitors to enter the market and establish a competitive presence. (Nagle &
Holden 2002)
Bundling pricing is seen by Jonason very promising method for mobile businesse. When consumers have similar average valuations
for the information goods, profits are highest in selling only a single, complete
bundle. (Jonason & Eliasson
2001) Bundle pricing is a way to present an unambiguous price for the usage of
a bundle of services. Bundling also increases the amount of pricing tools and
choices for service producers. E.g. Laffont argues
that it is optimal to lower the price of a service if doing so raises the
demand for a complementary service on which the utility charges a mark-up (Laffont & Tirole 2000).
Cable companies are providing voice and
Internet access services over the coaxial cable in their networks. High-density
television broadcasts will be digital, presenting opportunities to merge
services. Convergence represents the trend under which formerly separate
services are merging, and bundling will represent the packages of service. (Strouse 1999) One of the big attractions of Java and the
Network Computer to the software industry seems to be the possibility of
charging consumers according to their usage of a particular product. However,
while there are obvious attractions to per-use pricing, the basic economic
arguments based on utility theory are not as clear as for bundling, where those
arguments strongly support the idea of selling combinations of items. The
simple utility maximization argument might favour per-user pricing in a
substantial fraction of cases, what we observe in the market are repeated
failures of à la carte pricing. (Fishburn
& Odlyzko 1997)
The arguments in favour of bundling are
strong, and suggest that à la carte or unit pricing
will not be the dominant mode of commerce in information goods. E.g. in the
For a company of mobile services business,
the bundle pricing to be employed, there must be realized three, basic
conditions: the firm must have some market power; there can at best be
imperfect arbitrage opportunities for consumers; and consumers have different
price elasticity of demand.
As mobile services business, as mentioned,
is yet to be defined and services are thus difficult to value and compare.
Therefore the perceived risk is relatively high for consumers and service and
content providers. By bundling services into larger blocs, consumers need to evaluate
only one bloc of services rather than several items separately (see figure 1).
Hence total costs are more transparent and total expected value is easier to
perceive. From the basis of these observations, there can be come to a conclusion
that through bundling of mobile services there can be modified service bundles
which have higher cost transparency, greater perceived value, and lower price
elasticity. Consumers make their decisions according to their own personal perceptions
of expected values and perceived costs of mobile services with, often
contradictory, information.
Also
for service and content providers perspective there exists great uncertainties
related to mobile services business. By creating blocs of services, there is
created better defined and easier to value mobile services environment. This
means less perceived risk and increased calculable of the service environment.
The bundling is also a clear way of positioning the services and content in
comparison to competitors. Bundles may thus be considered as an indicator of
service/content quality and used for segmentation purposes. The definition
problems can thus be radically diminished through bundle pricing approach.
Bundling in mobile services marketing where
are two or more co-operating actors, pricing decision and the follow-up of
services usage gets easier as services are included into bundles. Moreover this
supports also strategic perspective of positioning services into chosen
bundles. In mobile environment billing would be co-ordinated by operator which
would further distribute the earnings according to usage of services in the
bundle.
The
objectives for mobile pricing should be: to enable fixed prices, price
differentiation, and increase the efficiency of pricing (by capturing part of
this consumer surplus). From customers perspective bundles are shown in a
simple and transparent way when acquiring bundles of mobile services. And from
mobile services producer’s perspective bundling is considered as price
discrimination which offers practical and profitable tool for defining emerging
business; reducing perceived risks of consumers and service providers; and
aggregating the modest value dimensions into a bloc of higher perception of
total value.
In addition to above mentioned arguments
for the bundle pricing strategy, also Strouse (1999)
found several benefits on favour of bundling: the preference of customers for a
single bill, and for simplicity which bundled services offer; for providers
that are currently prohibited from entering certain markets, bundling
represents the opportunity to enter new markets without requiring large
investments (bundling requires smaller investments in existing facilities); bundling
creates an excellent cross-selling opportunity (it is many times easier to sell
a new product to an existing customer than to sell existing products to a new
customer); etc..
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