CREATIVE CONSULTING AGENCY
Transcript: Table 2:The table according to age of TV audiences. The general purpose of this research is to find the impacts of ratings at marketing. And as we see in the cases, companies prefer channels with high ratings and care about the type of the channel. The reason why they care about the channel types is reaching more people who interest in that product. Rating is the percentage of total potential audience who choose a particular media vehicle over another in broadcast media, it is the number of households with their radio/TV sets turned to a particular station/channel or program for a specified length of time divided by the total number of households that have radio/TV. In the second case we used poisson distribution and tried to see how many times the ratings of channels can fall below their average ratings and according to our calculations, the ratings of channels averagely 5 times fall below their average ratings per year. You can see these months on the table. The companies should prefer other months to advertise. So they can reach much more people. CONCLUSION All off these questions have only one answer.The answer is the Tables of Channels and TV Audiences' Numbers A peoplemeter is shown in figure. TV is one of our indispensables that technology has to offer us. We spend a lot of time watching TV. Series, sports, movies, shows etc. So what are these programs, movies or series selected by or is there a criteria for the TV programs we follow? THE IMPORTANCE OF RATINGS AT MARKETING WHAT IS RATING ? Graph 3:Box plot analysis about channels’ numbers of audiences. Table 1:The numbers of TV audiences in 2014 We are trying to understand the impacts of TV-ratings on marketing and measure how many people we could reach so we think like an advertising company in this research to guide companies which want to advertise and we purpose reaching much more people. "RATING ANXIETY" In this research we analyzed five different channels which are popular with different types and ratings according to ages and times.This study helps companies those want to give commercial. CASE 2 In the case 3, a toy company wants to advertise a new product and wants us to research for the best channel and ratings of it.We handled the group of 0-12 ages and we used binomial distribution. And as a result of this case we see that Yumurcak TV is the best channel for this commercial. Because it’s very popular with kids and if the company advertises to this channel, they would definitely increase their sales for this product. CASE 4 Why Do We Measure TV-Ratings? INTRODUCTON TO CASES Table 3 :Illustrates nummerical summaries of datas. Graphs of Tv Audiences’ Numbers. Melike YALÇIN Tugçe BESNILI Mert Goktug TEMUCIN Graph 2 : The percentages of the tv audiences in circular diagram. This table shows the measures of central tendency according to our datas. How Do We Measure TV-Ratings? CASE 3 Nielsen is the only one company that measures the TV-ratings in whole world. This table shows the ratings of channels we chose according to four groups of ages. TV-ratings are measured by the device which is called peoplemeter.For example in Turkey there are only 2200 peoplemeters.This means 2200 houses measure the TV-ratings.These measurements have been used since January,2005 in Turkey.These ratings don't show an exact result because they don't include whole country,that's why results are approximate. Graph 1:The numbers of tv audiences in 2014 in time sequence. The only purpose of rating measurements is to help to channels and advertising companies on their bussines and make their work easier. Advertising companies look for the best channel for commercial and they make offer to the channel which has more audience so that they can reach more people and introduce their product easily. CASE 1 In the case 1 we used binomial distribution and showed that satellites can have errors in their frequencies and by selecting satellites randomly, we calculated the probabilities. As a result of this case we can say that rating measurements can be incorrect. So they're not %100 reliable sources. And also as the number of satellites randomly selected increases, the probability of frequency errors increase. This table shows the distribution of audiences’ numbers according to months. REFERENCES The purpose of case 4 is to find how many people interest in sports and sports channels.To calculate the probability of people who watch sports regularly from a specific population, we used hypergeometric distribution method. For the commercial of Nike, TRT Spor is the most logical choice because it has the highest ratings in its type and this commercial can reach a lot of people who are interested in sports if it is shown in this channel. canlitv.com medyafaresi.com bilgiustam.com Our Mission In This Research