Monday, 24 February 2014

Task 3 - Analysing a Television Advert



Task 3 - Analysing a Television Advert



This advert is about pot noodle. It is a parody advert about a 'wag' called Brian. He loves pot noodle.
This advert insinuates that Brian has a really relaxed life, because he eats pot noodle.
In the advert, it shows Brian living 'the life'. It shows him in different locations, relaxing with a pot noodle.

The fact that he is a man dressed up as a woman makes the advert funny and rememberable, but the best part about it is that the advert is like a documentary about Brian and he acts like it is a real documentary.

The area and surroundings:

Brian is in his mansion that him and his football player boyfriend live in. Brian even has a gold fork for his pot noodle to symbolise the pot noodle being amazing and tasty.

This advert is a parody advert for the adverts about wags in adverts.

This advert has made me remember it because of the funny factor. It is hilarious and is a brilliant advert.

Monday, 10 February 2014

Task 6

 In the advertising industry audiences are carefully studied so that advertisers can understand exactly how to sell to them. Show the examiner you understand how and why advertising agencies study audiences.

Standard Occupational Classification is putting different people into different groups to help researchers group the people who they ask for their market research.

Psychographics (a common attitude)
Geodemographics (where they live)
Age
Gender

Descriptive research - describes your audience and their characteristics; for example, who are your current audiences, where do you live, how old are they?

Analytical research - seeks to understand 'how' and 'why'. What motivates audiences? For example, why did they buy every other Ryan Gosling DVD but not the last one?

Predictive research - considers 'what if' situations; for example, what will happen if we change the name of our company?

Tracking research - long-term research that monitors changes taking place over time; for example, how has the pattern for subscription season ticket sales changed over the past three years?