As mobile technology increasingly becomes an integral part of our daily lives, the advertising industry is striving to find ways to reach consumers through mobile ads without being viewed as intrusive. Candidates for advertising positions should be able to discuss strategies for using data analytics to connect with audiences by providing information that is useful to each person’s particular experience.
Digital video, hyperlocal advertising, automated advertising, and virtual reality are trending topics in advertising that candidates should be able to discuss in interviews.
Sample of Possible Interview Questions for Advertising Professionals:
Discuss your experience with programmatic native advertising.
How would you work around mobile ad blocking?
Do you have experience dealing with digital ad fraud?
What has been your most successful mobile video campaign?
What strategies do you use to create content that engages consumers by speaking to their values?
How do you measure the impact of native advertising?
Discuss three reasons why account managers need to be proactive with clients.
Describe your process in determining whether or not to take a client’s business.
Have you initiated new ideas or better ways to do something than was currently being done?
Talk about a time when a client disagreed with the advertising plan. How did you resolve the problem?
What is the best way to show you disagree with an idea?
How do you go about becoming an expert on the client’s business?
Have you ever said “no” to a client? If so, why?
Have you done anything to promote the agency to the client, beyond the work on your account?
Have you gone out of your way to integrate yourself into the client’s business? How?
What is the biggest crises with a client you have handled? What happened?
What trade publications do you subscribe to?
Do you think there is an ethical boundary in native advertising?
How do you identify possible client objections to the creative work?
Do you believe that native advertising is a fad or here to stay?
What is your level of experience with data mining and analytics?