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Robert Redmond – Beet.TV https://dev.beet.tv The root to the media revolution Tue, 29 Jun 2021 21:37:19 +0000 en-US hourly 1 https://wordpress.org/?v=5.8.7 AI Will Drive Creative Advertising with Consumer’s Privacy and Preference: Execs from Mindshare, MediaCom, Wavemaker, Xaxis and IBM Watson Advertising https://dev.beet.tv/2021/06/responsible-media-future-how-ai-will-drive-creative-advertising.html Tue, 29 Jun 2021 11:00:17 +0000 https://www.beet.tv/?p=74652 In the emerging age of “responsible media”, you could be forgiven for thinking that marketers would want to exert more human control over production and placement.

But, increasingly, artificial intelligence algorithms are proving they can restore the primacy of ad creative.

That is what a host of industry executives discussed when they gathered on June 23 for the Global Forum on Responsible Media,

This video is a summary of interviews with executive who spoke in the creativity/technology  advertising track presented by IBM Watson Advertising.

1. Dynamic creative rising

The New Majority: MediaCom’s Prabhu Aims To Make Advertising Addressable

Dynamic creative versioning is allowing advertisers to deliver a diverse range of re-mixed ad creatives for consumers. But Anush Prabhu – US Chief Strategy Officer and Global Chief Strategy Officer, Creative Transformation, for MediaCom – says companies need to lean on software for something that is becoming too complex for humans, in two areas:

  • Production: Prabhu’s MediaCom is tapping tools like WPP Open and Flashtalking to produce creative in many versions connected to foundational insights.
  • Optimization: Then he wants to understand which versions are working. “There are so many variations within those messages, whether it’s the right colour, do we have people in it?,” he asks. “How much of the product should be seen? All those aspects get even more complex when you add the different audience variations.”

2. Machines help scale creative palette

AI Helps Brands Re-Focus On Creative: IBM’s Redmond

Robert Redmond thinks he has the answer – if producing a plethora of different ad creatives for a burgeoning range of audience types if complex for humans, call on the machines to help.

Specifically, machine learning like that offered by Redmon’s IBM is increasingly being called on to anticipate and remix the optimum ad creatives for different viewers.

“We teach an algorithm how to predict which individual assets to combine at real time to be most relevant for that consumer,” says Redmond, whose IBM Watson Advertising Accelerator assembles ad campaign creative elements based on audience reactions.

“We’re going to see more and more uses of technology and creativity together in very powerful ways to do this type of work.”

3. Context is back, with a fresh new look

‘Data Artistry’ Unlocks Context & Cohorts: Mindshare’s Clayton’s Post-Cookie Dreams

Creative-focused technology is important because there is a growing sentiment that ad creative, in the programmatic era, has been overlooked in favor of super-targeting alone.

But it also comes as ad buyers look for solutions in the era after third-party cookies and digital identifiers. And that is seeing the re-emergence of contextual targeting.

“Context has always been considered this old-school thing of the past,” says  Sean Clayton, executive director, solutions officer at WPP’s Mindshare. “But, really, as you start understanding that people move in waves, they move in larger cohorts, the ability to start executing against those cohorts is actually pretty exciting, especially when you can look within the programmatic ecosystem.”

4. Restoring signal in an age of noise

Machine learning can help advertisers in the new world, despite declining usefulness of traditional identifiers, says Delphine Fabre-Hernoux, Chief Data & Analytics Officer at GropM’s Wavemaker.

“The power of machine learning is really to build this layer of intelligence on top of a more limited amount of signals and translate that into something which is quite meaningful,” she says.

“It may be insight, it can be intelligence that is going to optimise media planning, but it can also be the predictive piece. Everybody’s looking to really know where you need to put your media dollars to maximise the return on investment and contribute more to your bottom line.”

5. Piloting data signals

Xiao Lin of Xaxis wants to make sure clients have really bespoke creative that speaks to consumers. But he, too, wants to lean on technology to get there.

The GroupM division uses a tool called Copilot that uses signals like browser, location, time of day and the weather “to create thousands of creative variations on the fly”, Lin says: “It introduces thousands more different data inputs to which then our AI Copilot could actually optimise towards the output or the client’s outcome.”

This video is part of the Global Forum on Responsible Media produced by Beet.TV, GroupM with the 4A’s.  This track on creativity, advanced technology and advertising is sponsored by IBM Watson Advertising.  For more videos on this topic, visit this page.  For more information on IBM Watson Advertising, please visit this page
The entire Forum can be watched on-demand here, and all videos from this project can be found here.
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AI Helps Brands Re-Focus On Creative: IBM’s Redmond https://dev.beet.tv/2021/06/ai-helps-brands-re-focus-on-creative-ibms-redmond.html Wed, 16 Jun 2021 12:00:30 +0000 https://www.beet.tv/?p=74247 So many in the industry have become accustomed to utilizing data-driven software for optimizing outcomes in performance-driven marketing.

But, for one man, that overlooks the latent promise of data to improve the initial awareness at the point brands first meet audiences.

In this video interview with Beet.TV, Robert Redmond, IBM Design Principal, Head of AI Ad Product Design, says machine learning now offers the ability for brands to re-focus on creative awareness-raising executions.

Rebooting the power of creative

“Over the course of the past decade, creative has kind of fallen back a little bit,” Redmond says.

“All too often, especially in the display space, we see it just becomes kind of like a little punch of message that really has no effectiveness to it.”

Instead, Redmond says, there is an opportunity to reboot “how our relationship with the humans that we refer to as consumers is crafted”.

“What it is that makes the consumer tick, not in a post-campaign, reports-and-insights sort of way but, rather, at the moment that we greet them, at the moment we reach them?”

Machine learning for creative effectiveness

Remond hopes technology launched by IBM last year can help.

Launched in January 2020, IBM Watson Advertising Accelerator, Accelerator, assembles ad campaign creative elements based on audience reactions. Accelerator technology applies to digital display ads, and as of a few months ago, also video and OTT spots.

That adds up to automatic, dynamic creative assembly of ads.

AI is Building Ad Creatives On The Fly: IBM’s Olesnevich explains

“Within Accelerator, we’re trying to understand the groups of people who are interacting with the advertising and to create cohorts on the fly based on indistinguishable patterns that we might not see when creating a segment or targeting them,” Redmond explains.

“We teach an algorithm how to predict which individual assets to combine at real time to be most relevant for that consumer.

“We’re going to see more and more uses of technology and creativity together in very powerful ways to do this type of work.”

Dynamic creative assembles

Dynamic creative was already rising in prominence in the couple of years prior to the pandemic, as some ad buyers sought to assemble optimal ads for the right audience using raw components of underlying creative.

Now ad-tech vendors are also suggesting DCO could be one way they can practice the kind of agility necessary to respond to profound and sudden change.

IBM’s Redmond says he wants to see “gains in actually pushing people down the (marketing) funnel”.

But, if he gets his way, it is AI that will help fill that funnel.

The Global Forum will be streamed on the GroupM LinkedIn feed from 1 to 5 pm EDT on 6/23.  The program is made possible with the support of IBM Watson Advertising, MediaMath, Nielsen and PubMatic. To stay informed of the Forum details and agenda use the hashtag #ResponsibleMedia and visit beet.tv/media-future.

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