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Media
agency Madison's Programme Predictor (MPP) claims to have
accurately predicted ratings for nearly 70 per cent of new
programme launches in the last two years.
The MPP is a Madison proprietary tool that predicts initial
rating size (one to six weeks) of new shows that helps in
making the critical 'Go' or 'No Go' decisions, using the simulation
technique. MPP uses state of the art Genetic Algorithm (GA)
to analyse and run the simulation.
Madison conducted studies to predict show ratings, which according
to the agency, is a product of People Using Television (PUT)
and Channel Share.
|
Increase
in channel share post programme launch
|
| Channel |
Programme |
Increase
in channel share |
| Star
Plus |
KBC |
2111% |
| Star
Plus |
KSBKBT |
483% |
| Star
Plus |
Kangan |
127% |
| Zee
TV |
Kohi
Apna Sa |
83% |
| Sony |
Kkusum |
63% |
| Star
Plus |
Kasauti
Zindagi Kay |
29% |
| Zee
TV |
Choti
Maa.... |
0% |
| Star
Plus |
Jee
Mantriji |
-50% |
While PUT is estimated as TVR values for all channels, channel
share is the share of the market that the programme is able
to garner. The study, says Madison, demonstrated that PUT
base is fairly consistent for a target audience and a time
slot, specially for smaller timeframes of 13 weeks, while
channel shares tend to be more volatile. These, the study
found, were affected by
* existing channel share
*
loyalty of competing programmes
*
audience flow.
The study noted that if the share of cable and other channels
are higher, it is easier for new programme to garner higher
share. Similarly, if programmes on competing channels have
high loyalty scores, it is intuitive to understand that the
new show will have lower initial rating, the study observed.
The agency selected the hugely popular Kyunkii Saas Bhi
Kabhi Bahu Thi to understand MPP, as the predictor does
not rely on a single equation but is entirely dependent on
the competitive environment that exists in the slot. While
the channel share prior to KSBKBT was highly fragmented,
its competing programmes had relatively low loyalty scores.
Analysis of audience flow indicated that 30 per cent of existing
viewers switch off television and another 30 per cent move
to other channels in a random manner.

The MPP, applied to KSBKBT, predicted a huge increase
with the help of simulation. The MPP distribution output also
indicated that the trend is towards a rising channel share,
and that the actual performance of KSBKBT was not significantly
different from the forecast.
MPP, however, says the agency, cannot be used accurately for
shows launched with unprecedented hype like KBC and
Sawaal Dus Crore Ka since it does not explicitly quantify
the influence of programme promotion. Madison's study also
observed that MPP could not forecast ratings of live primetime
telecast of India playing in cricket matches. It also found
that while MPP was fairly accurate in forecasting events like
Zee Cine awards, but was not very effective for 'hyped
up' events like the Hrithik show on Sony. It also does not
explicitly capture programme details like genre, storyline
and production quality.
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