Segmentation

portionation Scenario 1: subject: broad, multi-segmented approach Predicted paygrade: 1.2 Predicted: CPM: $1.80 incremental plan expenditure: $0.00 Bases for element: Demographics Pros: oThere is no extra money organism spent on programming and they be still targeting 80% of their original hearing. Cons: oPerformance would not change dramatically which would cause the audience to stay comparatively the same. This would result in a forecasted 10% drop in CPM (from $2.00 to $1.80). oWithout establishing a noticeable point of diversity from other fashion programming, Fashionistas and Planners/Shoppers will not find anything picky well-nigh TFC and might decide to view CNN, Lifetime, etc. instead. class Scenario 2: Type: concentrated approach, focus on Fashionistas Predicted Rating: .8 Predicted CPM: $3.50 Incremental Programming Expense: +$15 million Bases for Segment: Benefits sought, Demographics Pros: oWith this exceedingly concentrated approach, con sumer loyalty could be maturationd tremendously, which could in atomic number 42 attract more than fashion-lovers to the channel through viral mathematical product etc. oBecause many Fashionistas have income over $100k, they might go down to better to advertisement from luxury companies.

This could provide an incentive for advertisers for these types of companies and CPM could join on further. Cons: oThere is an additional $15 million being spent on programming and they are only targeting 15% of their original audience. oThe .8 make rating could lead to bloodline MSOs to drop TFC from certain melodic line packages offered t o consumers. oTFC could be seen as too focu! sed on Fashionistas. TFC could potentially lose more viewers than intended. Segmentation Scenario 3: Type: multi-segmented approach, focus on Fashionistas, Shoppers/Planners Predicted Rating: 1.2 Predicted CPM: $2.50 Incremental Programming Expense: +$20 million Bases of Segment: Benefits sought, Demographics ...If you want to get a full essay, order it on our website: BestEssayCheap.com

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