A large Chicago$-$based ad agency puts its new hires through inhouse training; one of the training exercises asks for some data interpretation. The agency uses the AIDA model on all of its products, so it has plenty of data for benchmarking. Further, it knows how the brands sold and the ads scored after the particular AIDA data were obtained. The data in the table shown here are cleaned up$,$ but it still makes the diagnostic points that the ad agency wants the trainees to understand. The company's instructions and the task follow.

An important use of the AIDA model is to figure out whether there are any problems in the marketplace. Analyze the

following scenarios. These are data from customers for different products. Diagnose the problem from the choices provided.

a$.$ Not enough advertising

b$.$ Boring ads

c$.$ Ads that aren't persuasive

d$.$ Channels $($availability$)$

e$.$ A product that stinks

What's the problem for scenario $1?$

For scenario $2?3?4?5?$

What additional information would you like to have?

$\backslash$table$[[$Scenario$,,,,,],[$AIDA Status:,$1,2,3,4,5],[$Awareness$,25\%,90\%,90\%,90\%,90\%$