Master 30 GroupM interview questions covering media strategy, client management, and data-driven planning.
Question 24 of 30
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Rachel Marcelle is a full desk recruiter and career blogger whose passion is helping others reach their goals.
The interviewer seeks to uncover your understanding of this technology in advertising and how its implementation provides a monetary benefit. Talking points would be how data and automation help avoid wasteful advertising spend, i.e., presenting ads only to customers that are statistically likely to buy, and what they'll gain from this compared to their current approach.
Don't get too technical or try to explain in detail how machine learning works. Stay focused on describing how machine learning improves effectiveness in your customer's marketing strategy.

Rachel Marcelle is a full desk recruiter and career blogger whose passion is helping others reach their goals.
"Machine learning plugs us into important information about your audiences such as research and buying habits, age, location, and other demographics. This information allows us to ensure that the ads are being placed well online, in front of actual potential customers and not random people. You'll avoid spending money on advertising to people that are not your target, and data has shown that this approach - advertising to an audience that your product truly appeals to within the right context - can improve your conversions by over 200%."

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Written by Rachelle Enns
30 Questions & Answers • GroupM

By Rachelle

By Rachelle