These results come from an “inverted pyramid” structure of preferences. On each level
are genres, these getting finer from the bottom (the LCD) to the top (where each taste
type is represented). The idea is that most people will tune in if their most preferred
option is available, fewer if a broader-based option is all that is available. For illustration,
suppose that 80% of the population will listen to the lowest-level (LCD) program. If two
middle-level programs are available, 45% of the population will listen to each. At the top
level, all listen and the split is equal. So, let us trace how the market develops as we
decrease fixed costs (equivalently, as we increase the number of consumers across the
board). This is the market size effect. With a small market, just the LCD programming
is provided. Then, as the market expands, the two mid-level ones are offered. This arises
because, rather than sharing the smaller LCD base, stations do better going higher for a
base-extension effect as they offer better-matched content. And, if the rival is doing so, it
is better for a second station too, since the LCD loses half its potential audience when the
rival “upgrades.” A further market size rise will double the number of offerings again, for
similar reasons. Notice though that the “doubling” at the last stage here was an artifact of
the assumed symmetry in the preference divisions. If instead the middle level were split
say 55% to 40%, then the first market expansion effect above the LCD is to offer the two
more specialty genres, but then a further across-the-board increase will impact first the
55% who will get upgrades, and the 40% will be temporarily left behind until a further
expansion makes them worth dividing.
The important take-aways from these models are therefore mainly for markets served
by few platforms. A market served only by a single platform will tend to serve up an LCD
offering. With two platforms, the LCD type might be duplicated, or a second popular
genre (or another LCD) might be broached. As the number of platforms rises, more
diverse preference types will be served, and pure LCD types will tend to be surpassed
(although they may indeed represent the first preferences of some viewers, in which case
they will prevail). However, duplication will pile up in the most popular formats.
Moreover, there is bias toward those viewers whom the advertisers most want to reach.
Notice finally the positive preference externalities in the examples above. As own-group
size expands, it becomes more likely one’s higher preferences get catered to. Moreover,
by taking away some of the clientele of the erstwhile LCD, there is a greater likelihood
that the other clients on the LCD base get an upgrade. Thus, we expect positive pref-
erence externalities with respect to own types, with weaker spillovers to similar types.
While the principles described above in the Beebe and Steiner analyses resonate, the
models are too sparse. To gain more depth, we apply their insights into first a spatial
model and then into a logit model. In both cases we explicitly introduce different con-
sumer types so as to be able to track the effects of population composition on product
selection (positioning and variety). The former approach is well configured to deal with
markets with very few firms, while the latter deals better with markets with larger
numbers.
15Preference Externalities in Media Markets