Shifting Digital Accountability to Brand Marketers

June 3, 2013

Growing up, when I was pestering my parents about something that I just really, really had to have (like a real, live pet monkey), they would often say:

“Be careful what you ask for; you might just get it.”

Brand Marketers have been asking for lots more from digital—but have largely been unmoved by the response, and their anemic spending shows it.

Shifting Digital Accountability to Brand Marketers

Shifting Digital Accountability to Brand Marketers

They ARE shifting more money into digital, particularly as on-line video, mobile and social explode.  But their digital spending has lagged their direct marketing counterparts, as they continue to look for more evidence of the efficacy of digital advertising.

The accountability debate is shifting quickly though, from digital publishers and measurement companies to the Brand Marketers themselves.

What do Brand Marketers Need?

1.  Audience Delivery – Much has been written recently about the issues and opportunities associated with digital audience delivery. Any reader of the advertising and media press knows that large numbers of digital ads are not delivered to their intended audience, and many aren’t even viewable—a real embarrassment to many who prided digital on its precise targeting.

But the fact that we are even talking (or writing about) this topic says a lot about how to solve the problem. We can now measure how well, or how poorly, individual sites perform in delivering digital advertising to their intended audience—on a daily basis. And, with metrics that are common across platforms—e.g. reach, frequency, GRP’s against key demographic targets, Brand Marketers can now much better understand the relative performance of different media.

2.  Brand Impact – Brand Marketers care not just about sales, but about their brand or, more specifically, brand equity. They want to know that digital advertising has equal or more brand building impact than the alternative mediums.

Digital brand building metrics have now equaled and, in some cases, surpassed metrics from other mediums. Brands can not only measure increases in awareness, brand recall and other traditional ad effectiveness metrics, but can now also link ad exposure directly to traditional brand equity metrics. Given these tools, Brand Marketers should be confident that they can really understand the impact of digital advertising on their brand KPI’s.

3.  Sales Impact – Not surprisingly, while Brand Marketers want to see that digital advertising builds their brand, they also want to know that their brand building efforts result in sales. There are multiple approaches available for measuring the sales impact of digital advertising.

Traditional Market Mix Modeling (MMM) is one, and it’s particularly effective at giving brand builders a relative understanding of how digital advertising compares to other traditional mediums such as TV and Print. That is, for every $1 invested in digital, what on or off-line sales return do I get and how does that compare to other media?

A newer approach for Brand Marketers is Attribution Modeling, which models individuals’ exposure to different digital touch-points against sales. Ironically, attribution modeling was first advocated by direct marketers who were trying to understand the contribution of different digital exposures to search based click-thru.

The advantage of attribution modeling is that it can typically measure more granular digital activities than MMM and the impact of cross-platform exposure on sales—e.g. it can “attribute” impact to different touch-points and combinations thereof.

In either case, there really is no excuse now for not understanding the sales impact of your digital advertising—ROI measurement in digital is very good–even for brand based advertising.

4.  Real Time Optimization – One of Marketers biggest frustrations across all media has been their inability to quickly understand advertising and media performance, and then make improvements in-flight.

Digital, in theory, should be great at this, and in fact has made great strides with real-time bidding (RTB). RTB uses real time performance metrics (click thru, etc.) by site, placement, etc. to understand how to bid and re-allocate spend to the best performing placements just as its name implies—in real time. But again, these gains have mostly been in the direct response world, leaving brand marketers to wonder about what could have been.

Well, direct marketing to the rescue. Real time optimization is now the domain of the Brand Marketer. Brands can now select a few key brand metrics, measure impact continuously across creative units, sites, exposure frequency, and audience, and optimize in real time to improve results.

Optimization can be done manually by the Agency, or via demand side platforms. Some progressive agencies have even take this further by collaborating with publishers on real time optimization to deliver much stronger brand results.

Shifting Accountability to Brand Marketers

Brand Marketers used to have a real issue with digital—accountability. “What does it do for my brand ? How does it impact my sales?” Fair questions that, frankly, weren’t being answered very well until recently. Hence, the slower adoption of digital by the brand focused Marketing community.

The accountability debate has shifted—to Brand Marketers. There really is no reason, at least no measurement reason, that Brand Marketers shouldn’t be playing in digital—in a big way. Now Brand Marketers need to be accountable for measuring, understanding and improving the impact of their digital advertising.

And, let’s hope they fare better than I did with my monkey request. Because while my pet monkey was a lot of fun (and a blast at show and tell), I also spent an awful lot of time cleaning up his messes—at meal time and otherwise !

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Watson Calling: Can Cognitive Computing Improve Ad Effectiveness?

May 28, 2013

The following post first appeared in the IBM “Building a Smarter Planet” Blog on May 21, 2013.

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It’s often said that marketers are drowning in data, but here at Nielsen, we have an idea for turning that harrowing experience into an insightful deep sea exploration.

For decades, Nielsen has been in the business of empowering brands and agencies with the information they need to understand and build connections with consumers.  We do this by measuring the advertising and media content people watch, the goods and services people buy – and very importantly, by spotting connections between the two. Why are these connections important? If you know what ads people are exposed to, and you know what those same people buy, you can get a lot smarter about how well your advertising is working and how to make it work better.

IBM Watson Calling - Can Cognitive Computing Improve Ad Effectiveness?

IBM Watson Calling – Can Cognitive Computing Improve Ad Effectiveness?

However, despite vast amount of data at their fingertips—and often because of the complexity of the data at hand—our clients’ ability to form these vital connections is oftentimes hindered. In fact, our advertiser clients tell us that despite the ever increasing amounts of data they have access to, they still have problems answering basic questions such as: How much should I spend on advertising? How should I allocate my spending across media platforms and within them? And, how do I measure my advertising performance “in-flight,” and make course corrections to improve results?

To help answer these questions, Nielsen created a simple “end-to-end” framework for measuring advertising and media effectiveness: the 3R’s. The 3R’s try to answer three simple questions: First, is my advertising reaching my intended audience (Reach)? Second, is it breaking through, being remembered and changing consumer opinion about my brand (Resonance)? And third, is it driving a behavioral reaction – e.g. sales (Reaction)?

We’ve been working hard to create the data sets and tools to help brand marketers answer these questions. We’ve gotten much better at answering the fundamental questions about advertising effectiveness, but we still have work to do.

Like never before, we and our clients face a continuous and, sometimes overwhelming stream of data generated by consumers and our digitally enabled measurement tools.  Just envision terabytes of structured and unstructured data pouring into our offices – trends, metrics, sentiments and perspectives – that express who consumers are, which programs and ads they’ve seen, how those ads perform by TV program, genre, web site, placement, number of times they’ve seen the ad, exposure to social media, where they’ve shopped, what they’ve bought, etc.

Within this data, there exists a range of opportunities to better understand consumers. But the challenge is clear, and for many, overwhelming – due to the data’s volume, scope and growing complexity, it’s almost too much to decipher.

A new form of technology is needed to dive deep into this sea of data, and come up for air with actionable advertising and media insights that can help brands understand their campaigns’ reach, resonance and reaction, and in turn, improve their advertising campaigns.

That’s why we were so intrigued when we began discussions with IBM about an entirely new and unique category of technology known as cognitive computing.

Cognitive computing systems can understand the nuances of human language, process questions akin to the way people think, and quickly cull through vast amounts of data for relevant, evidence-based answers to their human users’ needs. And very importantly, they learn from each interaction, to improve their performance and value to users over time.

Seems like a custom fit for the data-driven challenges today’s advertisers face.

Building on this excitement, we’re embarking on a new collaboration between the Nielsen Innovation Lab, which we founded in 2012 to advance research in advertising effectiveness, and IBM to harness the power of Watson, the sole player in this exciting new era of cognitive computing.

IBM Watson

IBM Watson

As part of our own brand’s continuous effort to advance understanding around advertising effectiveness, we’ll be exploring ways to use Watson for helping our agencies and their client brands engage more effectively with consumers across all devices – from TV to tablet to smartphone – while improving the impact of their advertising and media plans.

We believe this collaboration will open up a realm of possibilities for our clients, so they too can uncover value from new and exciting data. It’s time to stop drowning, and start exploring.

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Revisiting Reach — The Promise of Cross-Platform Planning

February 18, 2013

Watching TV the other night, I saw an ad for Brand X. And another. And another and another. After the fourth viewing, I thought “Enough! How many times do I need to see the same ad during the same program?”

Maximizing the audience reached at 1+ frequency—meaning that as many consumers as possible see your ad at least one time—has been gospel truth for many years now. The prevalence of media platforms and the ability to create integrated campaigns present additional challenges to achieving frequency control and unduplicated reach.

But they also bring great opportunity. The best media plan uses each platform to reach a different audience, rather than running the campaign as separate, independent plans for each platform.

Reaching Everyone in Your Intended Audience – the Impossible Dream?

Even in the broad world of TV, I’ve seen over the years that it’s really difficult to reach much more than 80 percent of your intended audience, no matter how much you spend.

A standard media plan typically bombards the heaviest 20 percent of TV viewers with ads, yet directs little or no advertising toward the lightest 20 percent. This isn’t the fault of TV—it’s still the broadest reach media vehicle we have, and virtually all households still watch TV. It’s just that current media planning tools leave something to be desired: more reach.

Light Viewers – Where are They?

So what’s the issue? Well, light viewers tend to be younger, more affluent, better educated and working outside the home—just the type of people who don’t have the time to watch much TV. So they watch more cable, watch programming at different hours, use DVRs, stream content online, etc.

They’re just harder to reach on traditional TV—and current media planning tools don’t do a very good job of constructing plans to reach these people. That’s why TV media plans often end up with approximately 80 percent reach—no matter how much they spend.

Multi-Platform – a Potential Solution?

Focusing on reaching these light viewers online allows you to extend your overall campaign reach against your intended audience. When done strategically, campaigns have achieved nearly 90 percent reach, as measured by Nielsen Campaign Ratings. Without proper insight, however, you may experience high levels of overlap in reach between TV and online, as many heavy TV viewers are also heavy online consumers, leaving you back at square one.

Nielsen Online Audience Segments—TV Viewing provides the insight you need to augment your TV media plan with online ads that reach audiences based on their TV viewing habits, so you can focus on reaching those hard-to-find light TV viewers online.

So instead of a traditional TV plan, which maxes out reach at 80 percent and bombards top quintile viewers with ads, this approach has a broader effect: it extends reach by serving ads to consumers who wouldn’t have otherwise been reached through traditional TV. By more strategically placing ads, it can also cap frequency among the online viewers and reduce frequency among the heaviest TV viewers.

Key Takeaways – Things to Remember

  • Maximizing reach at 1+ frequency is the gold standard
  • Traditional TV media plans typically don’t achieve more than 80 percent reach
  • Heavy viewers are overloaded with ads, while light viewers are exposed to few or none at all
  • Extending a campaign across platforms can increase reach and reduce frequency

To me, this looks like a good recipe for improving the effectiveness and efficiency of your media plans. Further, it might even benefit your brand by not upsetting heavy viewers in your intended audience who are currently overexposed and probably sick of seeing your ads and brand.

I like more reach per campaign—and at lower cost per thousand (CPM)—especially because I don’t like to be bombarded with the same ad over and over. And I’d be willing to bet that your intended audience would agree with me.

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Digital Innovation – A Conversation with Group M’s Chief Digital Officer Rob Norman

November 20, 2012

Last week, the Paley Center for Media hosted their Innovation without Borders conference. I had the pleasure of leading a discussion with the inimitable Rob Norman, the Chief Digital Officer of Group M.

Paley Center for Media Innovation without Borders

In our discussion, Rob and I debated the fragmentation of the media landscape, the increasingly simultaneous consumption of media,  the need for end-to-end advertising measurement, the importance of standard metrics, and the role of real-time optimization, among other things.

Rob Norman — Chief Digital Officer, Group M

To see Rob’s take on these and other media and advertising topics, click here.

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Does Your Target Audience Really See Your Digital Ads ?

November 2, 2012

One of the great promises of digital advertising is precision and measurement. With bits and bytes, we should be able to target our brands ads to consumers with a level of precision that could be only dreamed about in the mass TV medium.

But alas, this is also the great fiction of digital. The reality is quite different–at the most basic and fundamental level, digital advertising leaves a lot to be desired–which was a big part of my keynote address “Measuring and Optimizing Reach and Resonance in Digital Advertising,” at the recent Digiday Brand Summit.

Measuring & Optimizing Reach & Resonance in Digital Advertising

Why the fiction?  Two quick points:

1.  Most digital ads are not delivered to the target demographic group.

2.  Many ads are not even “viewable” — e.g. they are not in screen for at least one second.

This is a problem–a big problem. If ads aren’t delivered to the right audience and they’re often not even viewable, how can they have any impact? This is both a big challenge AND a big opportunity for advertisers.

New technology and tools are beginning to address this conundrum. There is strong evidence, supported by actual advertiser experience, to suggest that advertisers can dramatically improve the effectiveness of their digital advertising.

How much? As much as 50% more–simply by taking advantage of new measurement capabilities to ensure that more ads are actually delivered to the correct target audience and are in view of the consumer.

Click here to see my keynote address or here to see the accompanying presentation on how smart Marketers are taking advantage of this large opportunity.

Digiday Brand Summit Keynote Speech – Randall Beard


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