Home AdExchanger Talks Podcast: 58-Year-Old Wunderman Tackles Machine Learning

Podcast: 58-Year-Old Wunderman Tackles Machine Learning

SHARE:

Welcome to episode No. 13 of AdExchanger Talks, a podcast focused on data-driven marketing. Subscribe here.

Seth Solomons, Wunderman’s CEO for North America, sees huge growth coming for machine learning.

“If the agencies don’t see it and embrace it then it’s going to be a pretty disruptive force,”he says in the latest episode of AdExchanger Talks.

Wunderman knows something about disruptive forces, having navigated decades of media transformation beginning in 1958. The agency’s historic focus on direct marketing has positioned it well for the 2017 marketing environment, where performance rules all.

Today it competes with a surprisingly wide range of players new and old, in areas such as data architecture (Acxiom, Epsilon), data advisory services (Accenture, Unbound) and creative services (AKQA, SapientRazorfish).

When it comes to AI and machine learning, Solomons says the low-hanging fruit is email, where Wunderman has replaced A/B testing of subject lines with a continuous optimization approach that has it “running hundreds of thousands of cells concurrently.”

“If we can bring the right creative perspective together with the machine learning, we’re seeing [up to] 10 times the return through continuous optimization,” he said.

But the opportunity is not only about email or automating jobs that were previously handled less efficiently by humans.

“This approach relies on machine learning, but there’s a huge service layer” around analytics, strategy and creativity, Solomons said. “You need everything you’ve got inside a modern digital agency. You’re just using them differently.”

Also in this episode: Solomons discusses client data hygiene, the rise of CPGs as data contenders, Wunderman’s competitive set and advances in measuring walled gardens.

 

acxiom_adexchanger_talks_banner_300x250

 

 

 

This episode is supported by Acxiom.

 

 

 

 

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.