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A
Media Planners Guide to Look Through the CAS Maze
The Media Scene in India is evolving very fast. The recent past
has witnessed many changes but the most talked of is CAS. If and
when it finally happens, it will dramatically change television
viewing the way we know it today. Its impact will be felt on viewership,
channel distribution and on revenues as well. The impact on media
planning therefore is undeniable.
A lot has been and continues to be said about CAS more
in the domain of 'General Knowledge'. In this article, the intent
is clearly to put forth a framework for analyzing the current media-channels
mix and arrive at directions for plans in the CAS-era.
The framework being discussed has evolved out of the work being
done at Initiative Media. The framework proposes to study the effect
of CAS at three levels viz; Category Level, Brand Level and Channels
Mix Level and has been aptly coined as the CBC Framework (Category-Brand-Channel
Framework).
General Framework
The Framework proposes to present the data in a graphical format
for easy interpretation and decision-making. At various levels -
Category, Brand, Channel Mix Level the elements are categorized
into 4-quadrants. These quadrants are configured on the basis of
the extent of exposure of the category/ brand in the CAS Metros
and the skew of the target audience to the higher 3ECs. The exposure
can be used in terms of sales of the category; brand or the GRP
deliveries of the channel. The resultant quadrants can be analyzed
as under:
The Framework attempts to isolate the 'critical' components of the
model. The model will get illustrated further in the article.
Category
Level
Marketers need to understand the impact that CAS will have on various
categories. Basis the distribution of sales and the profile of the
users of the category, categories will have varying vulnerability
to the CAS event. For example; a category that has its sales concentrated
in the meters is likely to be impacted more than one whose sales
are spread across India. Also, a category that is consumed more
by the higher S ECs is Iikely to be affected more.

The Framework proposes to present the data in a graphical format
for easy interpretation and decision-making. At various levels -
Category, Brand, Channel Mix Level the elements are categorized
into 4-quadrants. These quadrants are configured on the basis of
the extent of exposure of the category/ brand in the CAS Metros
and the skew of the target audience to the higher 3ECs. The exposure
can be used in terms of sales of the category; brand or the GRP
deliveries of the channel. The resultant quadrants can be analyzed
as under
The framework given above captures this characteristic
of the categories in a 3-D graph. The X-axis categorizes the categories
as Mass or ISiche while the Y-axis orders them in extent of their
presence in the CAS Metros. The size of the bubble indicates the
size of the category.
This framework clearly classifies the categories into 4 quadrants.
The Mass-Mass Categories (Moped. B&W TV, Music System, etc)
will be least affected while the Niche-CAS Categories (Camera, Automobiles,
Washing Machines, etc) have the most to worry. The Marketers/ Ranners
need to develop these graphs to understand the extent of vulnerability
of their categories to CAS.
Brand Level
The above is not to say that if your category falls
in the Mass-Mass quadrant you can rest in peace. In the same framework
the category of interest needs to be plotted brand wise, A Brand-wise
plot will show the extent of effect that is possible at the brand
level within the category. An example of Color TV category is shown
below:

Though, Color TV as a category was positioned in the
Mass-C AS Quadrant in the earlier graph, the individual brands have
different positions in the g r id,
Again, the Mass-Mass brands do not have much cause for concern but
the Niche-CAS and Mass-CAS Brands would have to do further analysis
to combat the CAS effect. The Mass-Niche Brands top would be impacted
but the degree of impact would not be very large in the scheme of
their total brand spread.
Channel Level
A Brand that is in the critical quadrant may still
be safe from the CAS effect if the Channel Mix is skewed more to
the FTA channels and vice-versa. Hence, in this stage, basis the
TV Channel Ran of the brand under consideration plot the TV Channels
in the 4-Quadrant Graph. The X-axis represents the degree of delivery
of the channel that conies from the CAS Metros. The Y-axis represents
the share of the channel in the total delivery, not the plan. The
size of the bubble represents the extent of loss in delivery that
will happen post-CAS. See example of a service category brand shown
below,
The framework allows a planner to clearly identify the likely cause
and extent of the losses; the loss has been estimated by applying
loss factors to the present deliveries of each channel. The channels
in the plan that need to be adjusted post-CAS are clearly identified.
In the above example it is obvious that Star Plus is the highest
contributor to the probable Reach Loss.

The Solution
To make up for the lost reach the brand in question would have
the following three alternatives:
1. Boost spends in the existing pay-channels to generate additional
reach that would compensate for the estimated loss. This may not
be the best way as it will generate a lot of c-wr-spill in the Non-CAS
Markets,
2. Supplement the current channels by additional spends in existing/
new FTA channels. This seems to be the best possible way i.e., if
'matching' supplement channels are available in the context of the
Genre and TG for the brand
3. Supplement the TV Channels with other media such as Press. Radio.
Outdoor, Depending upon the extent of estimated damage and the required
profile for the brand, this may turn out top be a very irnportant
option. To look for an alternative channel, the Channel Map below
plots the available channels in the proper perspective.
The choice of the substitute/ supplement channel will depend on
a) The extent of delivery of the channel for the brand TG
(Affinity of the Channel on X-axis)
b) The degree of delivery of the channel in the CAS Metros
(On the Y-axis).
The size of the bubble represents the relative volume of delivery
amongst the channels
The Channels for the TG of the service category brand discussed
earlier are plotted above, In trying to find a supplement for Star
Plus, the following key points can be made:
1. With the implementation of CAS, the size of the Pay-Channel
bubbles will shrink
2.The size of the FTA channels will increase resulting in larger
bubbles than the ones shown above. The extent of increase is indeterminable
at present.
3. The addition of viewers to the FTAs wilI largely be from the
CAS-Metros and will tend to skew the channels to the Higher SECs
in the short run, This will propel the FTA Channels towards the
North-East Quadrant in the Graph above. This movement will make
these channels better suited to the TG both in terms of deliveries
and profile.
Therefore, the media implications from the CBC Framework for the
Service Category Brand being discussed are:
1L There is critical need for adapting the existing plans to C AS
Scenario, as a status quo could lead to a loss in deliveries as
high as 50% with i n the CAS Metros.
2 L Star PI us is the most critical channel whose deliveries have
to be compensated for. Not that the others do not have to be considered.
The direction for media planning basis the Channel Map is as under:
1. Use FTA News Channels as they offer a good TG fit and are also
likely to increase in deliveries. This is possible if the brand
plan allows for replacing a General Entertainment Channel like Star
PI us with a News Channel like Aaj Tak, etc
2. Keep a close watch over the FTA General Entertainment Channels
and use them if they become in delivering the brand profile
3. Possibly, use a geographically segmented approach to reaching
the TG; The FTA Bengali channels clearly pro vide this opportunity.
Similarly, check for such options in the other CAS Markets too.
4. Investigate the option of using Press and Outdoor besides Television
in the media mix strategy. Do a reach and cost analysis of Press
and compare these with the TV Channel alternatives available for
this decision.
Thus the CBC Framework presents an objective and illustrative Method
to analyze and adjust the channel deliveries in the event of CAS.
It allows identification and quantification of the vulnerable elements
in the plan and provides directions to compensate for the loss.
We hope this CBC Framework assists the Media Planning Fraternity
in objectively seeing through the CAS-maze and arrive at workable
options post-CAS if C AS happens!!
Databases Used for Analysis: IRS 2002 R2, TAM
Media Xpress
For any further directions contact Partha Ghosh/ Premjeet Sodhi
at intellect@towemail.com
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