TV Legacy Systems Holding Back Advanced Advertising Efforts?

Legacy data may provide a standardized measurement platform, but “data is advancing more quickly than our ability to transact on it,” Mike Rosen, NBCU’s evp, advanced advertising and platform sales, told attendees at NewBay Media’s Advanced Advertising conference in NYC Mon. “In TV, there are so many legacy principles that have been around for decades. Data is happening so quickly that the industry has trouble figuring out how it fits.”

One2one Media pres Mike Bologna, argued that “if advertising has to be advanced, then the data has to be better than the past. We need different forms of data to best calculate.” TV’s legacy infrastructure, however, can impede advanced advertising growth.
“We are dealing with a lot of legacy systems, and they are not going anywhere,” said Doug Hurd, co-founder, evp business development, clypd. “We are trying to reduce friction, but it is hard and the least sexiest part of the business.”

Sarah Foss, chief product officer, advertising management systems at Imagine Communications, said the TV model needs some creative re-adaptation. “The business model has always changed. We are multichannel now,” she said. “We are selling TV to get to audience and devices in different ways. Most of our clients are selling impressions and Macgyvering it back into the system.”
Of course, when it comes to cross-platform measurement, “frenemies” must sometimes work together, and OpenAP is one example of three major media competitors doing just that. Noah Levine, svp, advertising data & technology solutions at Fox Networks Group, explained that OpenAP was designed to offer “consistency in audience definitions and sizing, consistency in sharing across sellers and facilitating a mechanism to provide posts from OpenAP data companies such as Nielsen and comScore.”

VideoAmp chief strategy officer Jay Prasad said predicted standards adoption within the next two years: “Advanced currencies backed by attribution data will replace GRPs and siloed digital measurement.” — Charlene Weisler for Cablefax

Working Together to Advance TV Advertising. Takeaways From NewBay Media’s Advanced Advertising Conference

Data and its use in advanced advertising targeting continue to be core topics of NewBay Media's Advanced Advertising Conferences. In today’s conference, the impact of data targeting efforts in linear TV spurred discussion about OpenAP, attribution and programmatic.

The major takeaways were as follows:

Legacy Data vs Newer Datasets

To some, legacy data is a paramount measurement tool, offering legitimacy and safety with established, industry accepted standards, quality and auditing. To others, legacy data is holding TV back. “Data is advancing more quickly than our ability to transact on it,” noted Mike Rosen, EVP Advanced Advertising and Platform Sales. “In TV there are so many legacy principles that have been around for decades. Data is happening so quickly that the industry has trouble figuring out how it fits,” he added.

So where does an established TV media company start? "Never start with age and gender," Rosen advised, "Everyone is 25-54 so 25-54 is not a target. What is your outcome for your campaign? Sales? Reach?" Mike Bologna, President of one2one Media, agreed, “If advertising has to be advanced, then the data has to be better than the past. We need different forms of data to best calculate.”

Business Infrastructure is Holding TV Back

Beyond data, it is the legacy infrastructure of the TV business that can impede its advanced advertising growth. Facebook and Google have put TV in a corner as a branding tool. “TV much more powerful than brand building and we tend to get trapped. We say, ‘That is what you do, so just keep doing it.’ But TV offers much more value beyond branding,” noted Rosen.

“We are dealing with a lot of legacy systems and they are not going anywhere. We are trying to reduce friction but it is hard and the least sexiest part of the business,” explained Doug Hurd, Co-Founder, EVP Business Development, clypd. However, Sarah Foss, Chief Product Officer, Advertising Management Systems, Imagine Communications, saw the TV model as more flexible, though it needed some creative re-adaptions. “The business model has always changed. We are multichannel now,” she stated, “We are selling TV to get to audience and devices in different ways. Most of our clients are selling impressions and macgyvering it back into the system.”

Cross Platform Measurement is a Team Sport

There is a lot of talk about "frenemy" companies working together to find solutions. OpenAP is a great example of three major media competitors working together for a common solution. Noah Levine, SVP Advertising Data, Technology Solutions, Fox, explained that OpenAP was designed to offer, “Consistency in audience definitions and sizing, consistency in sharing across sellers and facilitating a mechanism to provide posts from OpenAP data companies such as Nielsen and comScore.”

This collaborative effort might be the tipping point for more joint initiatives. "The industry is ready to work together" to move cross platform measurement forward, according to Jay Prasad, Chief Strategy Officer, VideoAmp. “It’s time to figure it out and to measure impressions,” he added, advocating measurement progress in three steps:

·         “Crawl” = getting an age and gender metric across linear and digital.

·         “Walk” = measuring advanced targets such as age and gender plus income across linear, addressable, and digital.

·         “Run” = Measure any digital target, even advertiser CRM based segments on all video playback formats including the above plus OTT plus VOD plus DVR over an entire flight of a campaign, and not just C3 or C7.

Prasad believes that the adoption of standards is close at hand. He forecast that in the next two years, “Advanced currencies backed by attribution data will replace GRPs and siloed digital measurement.”

Conclusion

Whatever the new technologies and datasets bring to TV and advanced advertising, it will be exciting and will require constant adaption to change. Some companies are getting out ahead of the change by partnering with competing companies. Others are creatively adapting legacy systems to the new normal. Whether we crawl, walk or run, the great takeaway of the day is that we need to do it together.

This article first appeared in CableFax.

Trends Revealed at the Cynopsis Data and Measurement Conference

For those of us navigating the brave new world of media, the data rushing into the market has been met with both exhilaration and, let’s face it, a bit of dread. What datasets are most predictive and valuable? How can a company best manage all of its data and connect it seamlessly across platforms? What metrics are most useful and capable? 

The recent Cynopsis Data and Measurement Conference offered some insights into these questions, showcasing trends in media data from its impact, its measurement, its use by advertisers and its targeting applications. Here are some takeaways:

Lazy Data Confounds the Path to Purchase

Lazy data is misleading data, according to Mike Rosen, Executive Vice President Portfolio Sales and Strategy, NBCU. Lazy data is essentially those datasets that are not efficiently and accurately attributed back to the sale or are not adequately counting the value of certain consumer groups. “Data in the service of marketing and media is a very human endeavor,” he explained, “We can use data to understand human behaviors.”

But as a Baby Boomer, Rosen believes that his spending patterns are not given the credit they deserve. He does not have a social footprint but he spends on a variety of goods and services from shopping at a range of online and offline stores, using credit cards, “I own two cars, I have insurance policies, I travel, own loyalty cards and spend on entertainment. I throw off lots of data but because of lazy data, they can't find me.” Advertisers are “targeting demos like Millennials and Gen X. I am a Boomer. I am out.” Advertisers consider older consumers acceptable waste, reached anyway. “If you market to me do I not shop?” he intoned, “I am a human consumer with a high credit rating. You can't seem to find me.”

The root causes of lazy data, according to Rosen, are:

       1.       Sticking with age and gender categorizations which don’t count valuable consumers.

       2.       Buying by network and not by program, diluting the ability to efficiently reach target viewers.

       3.       Equivalizing platforms. Platforms have different viewing experiences and different levels of engagement.

       4.       Correlation Causation. “We so badly want to relate things to each other but it could just be coincidence. I live in Westport. I love Greek yoghurt … but not because I live in Westport,” he stated.

Without an attribution model, the problem of lazy data will not go away, “It is never quite that simple to determine the path of purchase,” Rosen concluded, “The messaging route by platform each carries a different role in purchasing.”

Unified Measurement Pessimism

Let’s face it, finding a unified measurement that works well across platforms is not an easy task. In fact, according to a questionnaire floated by Cynopsis before the conference, 60% of all respondents believe that we will never attain unified measurement. This is a staggeringly high percentage of pessimists.

George Ivie, Executive Director and Chief Executive Officer, Media Ratings Council, is writing the viewability standard. He asked his panel, “What metrics matter? Which are the most relevant? Why are we rushing to try and equalize metrics? Shouldn’t we focus on value and let them be different?” There was general agreement here. According to Manu Singh, Group Vice President Commercial Insights and Digital, Discovery, “not all impressions are created equal.” Brian West, Director, Multiplatform Research, ABC added that he is, “focusing on the full life cycle of measurement by setting requirements in place, implementing measurements, validating them and using them to drive insights,” implying the creation of many metrics. “Inventory is the goal to measurement,” noted Ed Davis, Chief Product Officer, Fox. “What delivers attention to the brand - how much and how long?”

There is no ideal. It all depends on the campaign goals. There may be multiple ad formats that, in my opinion, make standardization difficult. So it may come to pass that there is never going to be a unified measurement across platforms. But according to some industry executives, we may not need one.

Measurement Surprises

Taking unified measurement one step further is the idea that technology advancements are creating unintended considerations that are bubbling up in measurement discussion. For example: In a world where media companies can disable fast forward … or not … how do you measure forced versus organic viewing durations comparably? Ivie discussed duration weighting and developing metrics that demonstrate how platforms and content perform differently. Singh noted that, “We want to standardize those metrics. We support duration weighting.” The MRC is also tackling deduplication, focusing a great deal of attention on its methodology. “When it comes to unduplicated reach, there is still work for us to do as an industry,” noted West.

The measurement wish list is long. Singh would like, “all interactions of consumers to funnel into one repository,” and to also, “take into account qualitative data.” While West added, “It's not a one size fits all. We work consultatively with our clients. What is the ROI? What is the impact on brand? We make some form of compromise. Data is device based when we want persons based, for example. We need to advance on that.”

Jamie Power, Chief Operating Officer, one2one Media may have summed it up by saying, “When it comes to multichannel measurement, it is easier to find audiences but harder to measure them.” With all of these great minds pondering the measurement universe, maybe we can convince the pessimistic 60% that some form of standard measurement (or measurements) might indeed be possible one day.

This article first appeared in www.MediaVillage.com

Data, Data Everywhere in the Upfront. An Overview - Part 4

This is the fourth part of a five part series examining many of the new data initiatives of major data companies. Parts 1 through 3 outlined the many data initiatives, their scalability and whether their services were gaining traction in the industry. Now in Part 4, we ask whether there should be a standard metric that helps to link all of these initiatives and if so, what should that metric be?

Bill Feininger, President, MassiveData at Fourthwall Media, is immersed in the data reportage aspect of set top box data. He says, “In my opinion, impressions and reach are the most meaningful in measuring ad target performance and delivery to specific audience segments.” But as you will see from the following media company quotes, while there is some consensus for delivery, there is also a growing interest in ROI, engagement, segmentation and a measurement metric that may vary from company to company.

My take: If there is to be a serious consideration for cross company data services scalability (as well as an industry accepted cross platform measurement), we need to agree on a standard metric. It could be delivery. It could be reach. It could even be a form of ROI, although that might be harder to standardize across advertising categories. But if we cannot agree to a common measurement metric, our ability to create an industry-wide measurement for the 21^st Century that is not based on “proxies” of age and gender is severely compromised. And if we continue to rely on age / gender, we will not realize the true value of big data in our media currency. 

Question 4: Do we need a standard metric with all of these data innovations? If so then what should it be?

David Poltrack (Chief Research Officer, CBS Corporation and President of CBS VISION): We need to be able to employ the new metrics across the full range of platform and programming options. However, the metrics used by each marketer are likely to vary considerably. This limits the benefits of standardization. 

Tom Ziangas (SVP Research and Insights, AMC Networks): I would prefer a “common” metric and they should be time spent, reach (duplicated and unduplicated) and gross average impressions.

Paul Haddad (SVP and General Manager Advanced Data Analytics, Cablevision Media Sales): Today, the advertisers demand for a standard metric has been increasing and we view the evolution to an audience impression measurement as a viable solution to accommodate the multi-screen aspect of media planning.  Census-level data provides more stability with audience segmentation – unlike sample-based methods that break down with audience fragmentation. There is a growing amount of data available however, it remains in silos and the industry would benefit from a more formalized structure to normalize the data. Once a connection is made for the disparate datasets we will have a complete, holistic view of consumption, and the ability to reach audiences based on how consumers consume.

Beth Rockwood (Senior Vice President, Market Resources, Discovery Communications): In order to have a marketplace, at least for the near term, it is important to have a standard metric.  This will continue to be age/sex demographics, as measured by Nielsen.  As advertisers and networks become more comfortable with new data sets, we will begin to place a greater priority on behavioral targets, and tip more towards these metrics, since they are closer to clients KPI’s.

Katie Larkin (EVP Advertising Sales Research and Strategy, NBCU): We are at a time in our industry where we need to move beyond age and gender. We can be more precise with consumer and behavioral targeting. Technology has changed the world by giving consumers more access and more choice. Reach and concentration of target audiences are key metrics for marketers to target today's audiences. Beyond that, we have the potential to provide ROI analytics which varies by client based on their KPI's.

Mike Rosen (Executive Vice President, Advertising Sales, NBCU): When any marketer is looking for a competitive advantage in their category, standardization doesn’t give you a competitive advantage. You need a unique way to measure against a unique strategy.

Geri Wang (President ABC Sales, ABC): We need to agree that the unit of trade will continue to be the impression and, as digital and linear TV evolve to similar addressable models, that we are counting impressions the same way. Today, TV ratings are based on average minute commercial ratings and digital inventory is based on ad-served impression counts with varying degrees of viewability and fraud factored in.  We need a common cross-platform impression definition so that addressable ads can be counted and managed equitably.  Additionally, we need to recognize that as data offerings “fragment” and become proprietary, it will be much more difficult for buyers and sellers to evaluate the marketplace on an apples-to-apples basis.  Some level of industry standardization around audience segmentation will be required for the marketplace to evolve in a scalable fashion.

Kern Schireson (EVP, Data Strategy and Consumer Intelligence, Viacom): With the many ways content is being consumed, we are focused on continuously evolving and innovating our data capture and proprietary predictive methods in order to bring advertisers precisely to the consumers they want to engage with meaningfully. The impact of engagement is more relevant than ever, and that’s a key area of focus for us.

Hanna Gryncwajg (SVP Sales, RLTV):  I'm not sure we can get to a fully standard metric considering all of the different data available today. That said, I do think the industry would move quicker to scalable metrics if there were some broad category standards and, within those categories, specific attributes that could be bundled together with an algorithmic application.  This would also enable small/independent networks and big media companies to be able to compete in the same format.

Part 5, to be published next week, gives the nod to Research and asks the question - What is the status of the Research department in your company? Has the data imperative changed the perceptions of your departments? If so, then how?

This article first appeared in www.MediaBizBloggers.com

Data, Data Everywhere in the Upfront. An Overview - Part 3

This is the third in a series of articles examining and comparing all of the data initiative announcements taking place this upfront. Part One was a two sentence description of each initiative. 

 Part Two asked participants whether their data offering was gaining traction and impacting their business. Now, in Part Three, the question is whether these initiatives are scalable and if so, how.

There is a bit of skepticism in the industry regarding true scalability of these initiatives which, for many, means adoptable across the industry. As Liz Janneman, EVP Ad Sales at Ovation TV, said, “From a marketer’s perspective, how can they aggregate all of this data from (different networks) and all other partners if the data is propitiatory and therefore can’t be aggregated across their entire media buy?”   How indeed? But for others, scalability means the ability to grow the data service more deeply within a company and across one’s owned media properties. 

My Take: At this point I am not sure that many of these data initiatives are truly scalable outside the walls of the company. For a variety of reasons, I do not expect any of these initiatives to expand and integrate into general industry use anytime soon. They are generally proprietary services, some with a “secret sauce” of datasets and algorithms. Just like the agency optimizer models of yesteryear, today’s data initiatives seem to serve as a marketable point of difference for networks. I believe that it is the combination of quality content, deliverability of targeted audiences within the currency and sales service backing up all transactions that will be ultimate arbiter of business success. But offering a way to accentuate ROI through the data chain is a nice added bonus that may tip a sales decision in a network’s favor .

CW: Is your data initiative scalable? If so how?

Katie Larkin (EVP Advertising Sales Research and Strategy, NBCU): Yes – NBCUniversal’s broadcast, cable, Hispanic, news and sports programming are all included IN ATP. We are offering this to select clients but broadly across all categories.

Mike Rosen (Executive Vice President, Advertising Sales, NBCU): Our offering, by its nature, is the most scalable of anything in the marketplace because NBCUniversal’s portfolio of assets has the most scale of anyone out there. We reach 93% of all US adults every single month. The essence of optimization is to build effective reach of a specific audience segments.

Stephano Kim (Chief Data Strategist, Turner): Turner Data Cloud will now become Turner’s central repository of data, spanning digital and linear ecosystems. Advertisers and their agencies can now transact in any format they prefer, with any data source they choose, including their own first party data.

Beth Rockwood (Senior Vice President, Market Resources, Discovery Communications): We are working with several systems that will make our initiatives scalable.  Discovery is working with Lake5 for data analytics, and with clypd for audience optimization and a higher level of automation.  Systems are essential, however, good targeting work is customized, requires a higher touch approach and direct collaboration with clients. 

Paul Haddad (SVP and General Manager Advanced Data Analytics, Cablevision Media Sales): Our data-related initiatives continue to grow, and we are now introducing automation. Just a couple of weeks ago we introduced Total Audience Application - an advanced, data-driven platform that leverages the power of first party data sources to automate the audience and media planning of addressable and optimized linear television campaigns.  The platform reduces the media planning process from weeks to just minutes and evolves the traditional, spot-based ad-buying model to one that is audience and impression-based.

David Poltrack (Chief Research Officer, CBS Corporation and President of CBS VISION): Yes, it is definitely scalable. From a pure research perspective we are the best equipped network to add analytics for optimal targeting. To underscore this, we recently released data showing that consumers across all major buying categories watch more CBS programming than any other network. By delivering our clients a base audience rich in consumers we are able to layer on analytics to target more efficiently and effectively than our competitors. 

Geri Wang (President ABC Sales, ABC): Our TWDC digital portfolio offering provides marketers with the largest premium video audience marketplace opportunity.  No other media company producing premium original content reaches more people, for more time, with more ad supported video.  Our linear TV offering is rooted in ABC Primetime – this season’s #1 A18-49 Entertainment Primetime lineup.  There’s no better place to find scale.

Elizabeth Herbst-Brady, EVP Ad Sales Strategy, Viacom:  Viacom Vantage is scalable not only because we can offer it across our robust portfolio of networks, but also because we can efficiently handle the A-to-Z process, from analytics to creative integrations to operational and inventory management. 

Tom Ziangas (SVP Research and Insights, AMC Networks): Too early to tell at this juncture, but I believe it will be. Developing our own DMP and Business Analytics Research Tool (BART) that encompasses: Nielsen AMRLD, TVE data, VOD data, Online website data, EST, OTT will make it scalable.

Part 4, to be published next week, asks the question - Do we need a standard metric with all of these data innovations? If so, then what should it be?

This article first appeared in www.MediaBizBloggers.com