Home AdExchanger Talks Shifting Gears, With The CMO Of Genesis Motor America

Shifting Gears, With The CMO Of Genesis Motor America

SHARE:
Amy Marentic, CMO, Genesis Motor America

Long before Michigan-born Amy Marentic got into marketing – today she’s the CMO of Genesis Motor America – she wanted to be an astronaut.

After graduating from high school, she went to the University of Michigan to study aerospace engineering. During her senior year, she met Colonel Charles Bolden, who piloted the Space Shuttle mission that deployed the Hubble Space Telescope in 1990.

The colonel asked Marentic what she wanted to do with her life, and she promptly responded, “I want to be an astronaut.”

“He looked at me and he said, ‘Well, being an astronaut is something you do once in your life, if you’re lucky,” Marentic recounts on this week’s episode of AdExchanger Talks. “You need a career to fall back on.”

She had a moment of panic, because she realized he was right.

That’s when she found her way to the aerodynamics department of Ford Motor Company, where she spent just over 28 years, starting as a product engineer for thermal aerodynamics systems engineering and eventually segueing into executive business and marketing roles.

“I got to use my aerodynamics degree,” Marentic says, “and I also got to work on cars, which still to this day inspire me.”

Watch this space

Today, she gets inspiration from analyzing data and translating it into insights to support marketing.

In March, she took the chief marketing role at Genesis North America, a luxury vehicle brand launched in the US in 2016 by South Korean automaker Hyundai. One of her top remits – and challenges – is to raise brand awareness for Genesis in the US market.

To do that, Marentic and her team are working on a growth strategy to broaden the brand’s appeal with women and families. Women drive (pun intended, of course) the majority of consumer buying decisions.

“It started with the data,” Marentic says, “with the percentage of families that buy our vehicle versus the percentage of the segment that buys [SUVs in general], and we went from there.”

Also in this episode: Why programmatic is a key component of Marentic’s media strategy, how to approach measurement in a category where the manufacturer doesn’t own the direct customer relationship (the dealer does) and balancing the opportunity and risk of generative AI. (“We’re putting our toe in the water in a way that starts with efficiency,” Marentic says.)

Must Read

Who Will Stand Up For The Open Web?

The open web is done, stick a fork in it. Banner blindness is near universal, search traffic has run dry and publishers are struggling for oxygen. But what if that’s … not true?

A comic showing lab techs as stand-ins for legislators experimenting with provisions for US state privacy laws, including restrictions on collecting sensitive data.

What Publishers Don't Know About New Jersey’s Data Broker Law Could Cost Them

Attention, publishers: Although you might not think of yourself as a data broker, in the great state of New Jersey, that’s not really your call anymore.

Predict Bowl Icon. Magician Element, Forecasting Symbol – Vector.

Why This Marketing Measurement Company Just Open-Sourced Its Forecasting Engine

MMM can tell marketers what worked, but Lifesight’s open-sourced forecasting tool aims to tell them what to do next.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Podcasts Are Becoming More Programmatic. But Now Advertisers Have To Keep The Ad Load In Check

As programmatic buying becomes more common in audio, marketers and platforms fight the temptation to cram in as many placements as possible.

PubMatic Jumps On The Show-Level CTV Targeting Bandwagon

Connected TV advertisers are still pining after show-level control. And PubMatic announced contextual targeting at the episode level is available to media buyers accessing CTV inventory through its platform.

SQREEM Touts The Large Behavioral Model – Not The LLM – As The Winning Predictive Engine

Rather than relying on machine learning, SQREEM uses a mathematical AI model to track how systems change over time and predict audience behavior.