RSS FeedArchive for the ‘Data-Driven Thinking’ Category


Fútbol, Football And A Move Past Last-Touch Attribution

jeffgreen“Data-Driven Thinking" is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Jeff Green, founder and CEO at The Trade Desk.

While I joined my fellow Americans in catching World Cup fever, I couldn’t help but lose some steam after the US fell to Belgium. Germany’s victory was a well-fought, well-played win, which I was happy to celebrate with my German colleagues.

Throughout the tournament, though, I was struck by how often goals, and the goal-scorer, were the only plays and players featured in highlights. It made me think of the challenges we face as marketers in RTB in dealing with the old-school method of last-touch attribution. How can we, as data-driven marketers, continue to assign credit for campaign conversions in such a myopic way?

The problem is that last-touch and last-click attribution have been a pretty consistent standard. Collectively evolving to something better is one of the hardest changes to make in advertising. It is also one of the most important next milestones for our industry. As many others look back on lessons from the World Cup, I find myself looking ahead to a different kind of football – the upcoming NFL season – for a model of how we can improve in RTB.

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Who’s Afraid Of The Open Exchanges?

jimcaruso"Data-Driven Thinking" is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Jim Caruso, vice president of product strategy at Varick Media Management.

Programmatic buying has always been dogged by the reputation that it accesses remnant inventory from less desirable publishers – cheap long-tail inventory that is a poor fit for established brands. There’s still a lot of confusion and misperception floating through the industry. This reputation short-changes data-driven targeting.

Agencies and brands can currently buy on the exchanges with highly targeted, crystal clear white lists that take into account the placements, sizes, sections and sites where they want their ads to run. Blind bidding on opaque inventory is indeed an option, but it is a circumstance that is completely guided by the user making that choice when building a campaign, which, in many cases, is the agency.

The idea that brands can be tarnished because auctions are free-for-alls open to any advertiser with a seat on a DSP is an equally laughable idea. It’s irrelevant who else is participating in an auction. If a publisher is willing to white list an advertiser – including those that are of lesser “quality” (an unclear term if there ever was one) – and that advertiser wins the bid, then their ad appears. The thing to keep in mind is that almost every reputable publisher employs dozens of measures to prevent undesirable ads from appearing on their site, through the use of category, advertiser and creative-level blocks.

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Ad Tech’s Mortgage Crisis

brettwilsonddtData-Driven Thinking" is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Brett Wilson, co-founder and CEO at TubeMogul.

In the wake of the subprime mortgage crisis, public attention centered on a single question: How the hell did that happen?

Years later, we can take away one clear lesson: When company incentives and risks do not align with their customers, there is trouble ahead. Now a similar phenomenon is happening in the digital advertising industry. The results imperil the gains from using technology to make advertising more relevant and effective.

Ad networks have long been the most obviously conflicted players in the digital advertising ecosystem. They were conceived to fulfill a simple market need: Package the long tail of the Internet by buying unsold ad inventory from publishers, then resell it as a bundle to advertisers.

The problem with that structure is that it makes money from dueling sides of the business, leaving no one side fully happy. Premium publishers like national news sites want to maximize their ad revenues, but are often bundled and sold for the same price as lower-quality sites with user-generated content. Brand advertisers want to persuade an audience for the lowest price possible, but if their partner has a vested interest in where an ad runs, they may not get the best ROI.

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National Advertisers Should Take Pointers From Local Advertisers

frostprioleaurevised“Data-Driven Thinking" is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Frost Prioleau, CEO and co-founder of Simpli.fi.

National advertisers are often thought of as the most sophisticated users of programmatic technology, and for good reason. As some of the biggest spenders, they have invested not only in programmatic media, but also in attribution, quality and viewability tools, data-management platforms and a host of related technologies.

But Madison Avenue can learn plenty about programmatic from their peers on Main Street. Local advertisers are a pragmatic lot, with many practicing a more hands-on approach to programmatic. It is a philosophy that substitutes sophisticated tools with common-sense scrutiny, and it values customized audiencesas well astransparency of inventory and data.

One Size Doesn’t Fit All

National advertisers often take a handful of fixed audience segments and target those same segments across the entire country.

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Why Marketers Struggle With Cross-Platform Programmatic

brianmikaliseditedThe Sell-Sider” is a column written by the sell side of the digital media community.

Today’s column is written by Brian Mikalis, senior vice president of monetization at Pandora.

In general, I’m a huge fan of making the buying and selling of digital ads more efficient and effective. This desire to continually evolve and improve the buy and sell process is one of the many reasons why the promise of programmatic buying is so compelling. Through automation and machine-based decisioning, programmatic can create efficiencies for marketers not only in terms of operational overhead, but also improved performance and higher return on ad spending.

My excitement is tempered, however, when I talk to marketers about applying programmatic capabilities beyond the desktop and into the world of mobile. While the potential of cross-device programmatic is great, there are still many hurdles that need to be overcome before cross-platform programmatic can achieve its rightful share of the marketing mix.

These hurdles are especially high for advertisers that are racing to supplement programmatic Web buying with mobile programmatic. That’s because I see what many marketers haven’t realized yet when looking at these two types of exchanges: We’re essentially looking at an apple and an orange.

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Advertising Fraud: It’s Time For Asymmetrical Warfare

ted"Data-Driven Thinking" is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Ted McConnell, an independent consultant in the digital marketing space.

Many Internet industry players are chiming in about how to fight ad fraud, but the scope, scale and capability of the bad guys demand something more strategic and harder-hitting than the suggestions I’ve seen to date.

With as much as $14 billion a year being stolen from advertisers, we need more than publishers adding controls to their infrastructures or a few advertisers buying antifraud services. Way more. Net neutrality is not a solution and freedom isn’t free.

How Big And How Bad?

For perspective, there were about 5,000 bank robberies in the US in 2011, with an average yield of $7,600, according to the FBI. The estimated size of fraud against advertisers varies, but $14 billion per year is the minimum estimate by Augustine Fou, a digital forensics expert. That would be more than 5,000 bank robberies per day, with a getaway car that travels at the speed of light.

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The New Star Of The Shopper Marketing Suite

jasonyoung“Data-Driven Thinking" is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Jason Young, CEO at Crisp Media.

If you work in shopper marketing today, take note: Mobile will do to your business what the Web did to direct response.

To see what I mean, consider the history of direct response. Back in the days before the Internet, direct response and direct marketing (DM) were pretty much the bottom of the marketing barrel. TV was where the big budgets and big brands went. Direct was where big brands spent their below-the-line marketing dollars and where second-tier brands clogged up mailboxes.

Why was DM an afterthought? A lot of it boiled down to a disconnect between content and data. On the one hand, direct mail was universally recognized as the gold standard for customer insight and ROI. If someone called your 1-800 number, it meant your marketing worked. But on an engagement level, direct TV ads, mailers and catalogs were no match for the most engaging channel of all: television. Brands were left with the hard choice between data-driven marketing and engagement-driven advertising. Brand engagement won and direct marketing lost.

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Placeability: Key To Measuring The Accuracy And Legitimacy Of Mobile Signals

laurenmoores“Data-Driven Thinking" is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Lauren Moores, vice president of analytics at Dstillery.

The use of location data as a signal for content messaging, user functionality and context targeting continues to grow. At the same time, as we have seen with other emerging data streams, with more signal comes more noise. The likelihood of using inaccurate or even fraudulent location signals is increasing.

As with any of the digital signals we harness, location data, whether it’s from mobile phones, tablets or wearables, is only as good as its origin and classification. Don’t ever forget the importance of placeability, which is the accuracy of the location data we’re receiving.

Think about your own experience using applications that rely on location to provide content or functionality. On a recent road trip, for example, I found that as often as not at least one of my map apps could not accurately determine my current location or reverted back to a location from hours before. Similarly, how many times have you used Uber or Hailo and had to manually adjust the pin to ensure a pickup within a few feet and not blocks away?

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Dirty Tricks, Red Flags And Pitfalls You Should Know About ROI

jean-baptiste-rudelle“Data-Driven Thinking" is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Jean-Baptiste Rudelle, CEO and co-founder at Criteo.

Return on investment (ROI) is the only thing that matters for an advertiser: How much return am I really getting for my money?

To calculate ROI, typically you will define a key metric against which you’ll measure the impact of display ads. With a retail or travel website, for example, you would measure direct sales generated from your display ads or, more specifically, visits generated by those ads and the conversion into sales. For other verticals, such as automotive or CPG, conversions can be a test drive, an application submission or other industry-specific business metric. Once the metric is chosen, you need to decide when and how to attribute a conversion to this specific ad campaign.

This is the point where things become slightly more complicated.

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Dstillery Chief Data Scientist Talks Data Science And Paid Advertising

Claudia PerlichDstillery's investment in data science dates to 2008, when the company – then known as Media6degrees – first applied big data analysis with a social skew. Since then it has broadened its focus to a wider range of digital media, but has retained its emphasis on the data.

The person in charge of those efforts today is Claudia Perlich. As chief scientist, she oversees the data and algorithms that drive decisioning, targeting and fraud detection for the programmatic ad network.

She started four years ago at Dstillery, where top clients include American Express, AT&T, Time Warner Cable and Neiman Marcus. Previously she worked for IBM Research focusing on predictive modeling and marketing.

Perlich spoke to AdExchanger about data science as it relates to paid advertising, programmatic methodologies and cross-device targeting.

AdExchanger: In what category do you bucket yourself? Any interest in launching a "self serve" business?

CLAUDIA PERLICH: The "bucket" question has always been a challenge for us. Terry Kawaja puts Dstillery in the "Targeted Ad Network" bucket on his LUMAscape, which is probably the most appropriate. But our services encompass the core of a DSP and the core of a DMP. We are a company focused on identifying new customers for our marketing partners, and we provide a full suite of services allowing those partners to execute on that intelligence across any channel. (more…)