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What Do You Know About In-App?

December 24, 2014 — by MediaMath

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As the holidays are coming to a close, thousands of people will undoubtedly be receiving shiny new devices from their loved ones this season. As these happy owners explore their newly unwrapped smartphone or tablet, have you considered that this may be the best time for them to discover your app?

Paid in-app ads are a great way to drive app installs, and can serve as an additional touchpoint with consumers to increase brand awareness and loyalty. Retailers are catching on to the effectiveness of apps for driving ecommerce sales, with Internet Retailer citing that apps drove 42% of m-commerce sales for brands like Neiman Marcus, Kohl’s, and H&M, in 2014. But, retail isn’t the only vertical tapping into the power of apps to drive sales. Videogame brands are especially keen on in-app advertising, and some advertisers are willing to pay as much as $20 per ad due to the likelihood of consumers making purchases within the game at a later time, according to the Wall Street Journal. In-app ads also perform better than “traditional” ad placements on the mobile web, too. A recent eMarketer article explains that in-app ads served in Q3 2014 saw a clickthrough rate 2.8 times higher than ads on the mobile web. Interested in learning more about in-app? MediaMath has several solutions that advertisers can leverage before the holiday season truly comes to a close, and in-app advertising is one of them.

As part of MediaMath’s holistic solution, advertisers can target app audiences, optimize to in-app behavior, and analyze their mobile performance. Advertisers can target by numerous parameters including geo, age, day part, creative type, device type, and more, across any of MediaMath’s billions of daily mobile impressions.

If an advertiser is particularly interested in Apple iOS conversions or installs, MediaMath has recently launched a managed service offering (self-service coming soon) that allows clients to target directly within the Apple iAd Workbench across iOS inventory exclusive to Apple.

With consumers spending more time using their apps, mobile advertising, specifically in-app, is a marketing channel that can’t be ignored.

TechnologyUncategorized

The Rise of Data Cooperation and More 2015 Predictions

December 22, 2014 — by MediaMath

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Last week several MediaMath employees outlined their predictions for retail marketing in 2015. With the new year only a week away, MediaMath’s Managing Director of EMEA, Dave Reed, has also contributed his own set of predictions to take into consideration. Dave’s predictions touch on cross-device targeting, data cooperation, social recommendation, and the evolution of programmatic within agency holding companies. His predictions, in full, are below:

Cross-Device Targeting
Cross-device marketing will continue to rise in 2015. As the number of smartphone users in the UK approaches 40 million (37.8m), there will be an emphasis on reaching the right audience with the right message, regardless of device.

This will result in a shift away from traditionally siloed marketing strategies towards a more holistic approach to media buying, where optimised ads are served seamlessly across devices from a single point of creation. Advances in attribution will also allow the impact of ads to be measured on all screens, providing shared data that can be used to inform marketing strategies.

Data Cooperation
Given the speed of industry evolution, 2015 could be the first year we see a rise in data cooperation within the EU. The current reliance on third-party data results in brands paying for ads that are served but not necessarily viewed.

It’s a simple idea, but leveraging first-party data will allow brands to exchange wasted impressions for wider audiences and apply more precise targeting, which will create positive brand equity.

While activation of their own first-party data should remain a high priority for brands, cooperating with other companies to acquire first-party data would be a strong approach to expanding marketing budgets.

Social Recommendation
As social networks continue to expand their advertising capabilities, the line between earned and paid media – along with the definitions of content and marketing – will become ever more blurred.

Driving social recommendation will be a high priority and brands will invest more in social media, with European social media marketing spend expected to increase from €2.6 billion in 2014 to €4.3 billion by 2019.

Marketers will increasingly rely on technology partners to develop robust and differentiating social strategies with great speed and agility, and there will be a focus on well-defined goals, specific audience targeting, and campaign tracking via social management tools. This will enable marketers to gain a more complete view of their digital advertising, maximising scale and efficiency across all channels.

Evolution of Programmatic in Holding Companies 
Programmatic media buying is recognised as the future of digital advertising and is set to push UK ad spend to over £20bn in 2015. Programmatic’s place used to be out of sight within the engine room, but as holding companies increasingly use trading desks to capitalise on the growth of automated media buying, their endorsement of the programmatic model will push it even further into the mainstream.

This will result in an increase in brand adoption and investment in this advertising method.

These predictions were first published on the Wall Blog. You can see that article here.

TechnologyUncategorized

How Private Marketplaces Actually Work

December 19, 2014 — by MediaMath

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This post originally appeared on iMedia Connection and is written by Eric Picard, VP of Strategic Partnerships, MediaMath.

Recently Ricardo Bilton wrote an article for Digiday about the difficulties that publishers have had embracing private marketplaces (PMPs). The validity of his article is arguable, and he called out a few of the buy-side platforms as causing some of the difficulty — despite the massive and growing volumes those platforms are actually driving in the PMP world. So instead of rebutting his article, let me define how these things work, and what the scope and difficulties are in making use of private marketplaces, but also what benefits can come from them.

Before we get into it, let’s talk about complex vs. complicated. They actually mean different things. Complex implies that the difficulty of embracing something is unavoidable — some things are just complex, have lots of moving parts and lots of opportunities to implement. Complicated implies that the difficulty is avoidable, and could be designed around. Private marketplaces today are both complex and complicated. We need to remove the complications.

History

Back in the dark ages of the programmatic world, let’s say 2008, publishers were wary of the newly emerging programmatic landscape. In order to convince them to put their inventory into the proto-exchanges that existed, the concept of a private exchange or private marketplace evolved. Keep in mind that up to that point, mostly the inventory that flowed on the exchanges came from ad networks daisy-chaining their inventory together. But as publishers began participating, and SSPs entered the scene, these private marketplace mechanisms were rolled out to support publisher concerns about yield optimization — and especially cherry picking and cream skimming — buying strategies that were major concerns for publishers in those early days.

As a result, the first private marketplaces were fairly simple to understand, and were nice ways for publishers to get their feet (or at least their toes) wet in the programmatic space. The basic concept was simple: Publishers could expose some or their entire inventory to an exchange or SSP. They could hand-pick which advertisers were invited to come into the private marketplace. Only those invited to have access could bid on the inventory.

The problem with this early approach was that it missed out on some very important fundamentals of exchange-based buying and selling. One important fundamental is bid density: For every impression that is exposed to an auction, you need as many bidders (buyers) as possible competing for that inventory in order to have the price reach a reasonable amount — especially in a second price auction.

What is a second price auction?

It’s a pretty simple idea, really — if three people participate in a second price auction for an Apple, all three people put in the highest price they’re willing to pay for that apple. Person A bids $1.00. Person B bids $1.50. Person C bids $0.50. Person B would win the auction, but only pay $1.01 for the Apple. The reason for a second price auction rather than a first price auction (in the example above for a first price auction, person B would still win, but would pay $1.50) is to encourage the bidder to put their true price into the auction. Second price auctions are generally understood to have less “gaming” of the auction — since the high bidder is protected from overpaying.

But in a world where only one or two advertisers are bidding on the same impression, there’s often no second price to use. So private marketplaces by nature are problematic when it comes to bid density — and many early private marketplaces ultimately failed to succeed. There are mechanisms that can be tried — for instance using a first price auction for private marketplaces — but of course this can lead to rampant gaming of the auction — and rarely will a buyer put the actual price they’re willing to pay into a first price auction. Another mechanism is price floors –which protect the publisher from having the impression fall on the floor for close to nothing — but often a PMP price floor in those days became a price, rather than a floor due to the lack of bid density.

As our industry evolved away from the original exchanges and toward real-time bidding, a whole host of new complex issues were uncovered — but also amazing new capabilities. One of the key things that this drove in the PMP world were new innovations like dynamic floor pricing — where the SSP or even the publisher ad server was able to analyze demand across the ad server, the SSP, the PMP, and the open exchange and set the floor on a per-impression basis.

As publishers got over their initial fear of programmatic selling, they began to put their inventory into the open exchange and blend the private and open bids into the same auction. Publishers quickly realized that they needed to give the buyers that had private marketplace access a set of preferences so that they would continue in the PMP rather than bounce out to the exchange. This led to all kinds of mechanisms — across various systems that have brought us to our modern programmatic landscape for private marketplaces.

Private marketplaces today

Private marketplaces today are very confusing. They’re both complex and complicated. There’s no clear and simple definition of a PMP that means exactly the same thing to everyone because there are so many ways to implement one. And depending on your ad server, your choice of SSP and/or exchange, and the buyer’s DSP, it’s fairly impossible to know in advance how the PMP will instantiate itself. Literally if you took five impressions of a PMP and reviewed them, each could be delivered completely differently from the others.

For publishers looking to start using private marketplaces today — without any legacy configurations or expectations, there are some benefits of having waited. Today PMPs are really about giving the publisher control over the way their preferred customers get treated by the auction. As everyone knows, when you have a big customer, who spends a large amount with you annually, you probably want to give them some discounts and benefits for working with you. Private marketplaces today are evolving into sets of controls for protecting the relationship with the buyer, and often for giving them either a discount, or giving them better access and control over the inventory they want to buy. It is the latter scenario — giving the buyer control — that makes some publishers very nervous, but is the real benefit of the PMP in today’s market.

In this scenario, the publisher lets their big spending customers get some additional control over defining the audience and the inventory that they have access to. Sellers frequently will bundle this additional control with a larger overall buy, or with a high minimum CPM, or with a high minimum overall budget. And publishers are finding that this approach makes everyone on all sides of the deal much happier. Everyone wins, as long as the complexity required to pull this off is embraced.

One of the biggest innovations in the programmatic world, and one that causes a lot of the complexity behind the issues this space has been saddled with, is the Deal ID. Deal ID was supposed to solve many problems in the programmatic space, but they have added another layer of complexity. The trick is to embrace the complexity without structuring things in such a way that they become unnecessarily complicated.

What is deal ID?

It became clear that while RTB was a vastly superior way to buy and sell ads than anything else we’d seen as an industry — there were touch-points between the old systems and the new systems that were confusing. Nowhere was this confusion worse than when a buyer wanted to execute a guaranteed deal over the RTB infrastructure.

But that Deal ID mechanism has now been used in much more flexible ways than its original driving intent. Think of a Deal ID as a way to prioritize a buy against supply. And the features for how you prioritize the bid vary by ad server, by exchange, by DSP, and by SSP. Sometimes the combination of each of those things leads to a different set of capabilities.

If you’re feeling confused, you’re getting the picture. This isn’t simple stuff. But that’s okay, because with complexity comes opportunity. Here’s a complex, but powerful scenario that Deal ID opens up:

All of these bids are Deal ID bids — prices are CPM:

  • Advertiser A sets up a dynamic bid that lands at $5 for the impression. Publisher floor prices this advertiser at $7.
  • Advertiser B sets a dynamic bid at $6 for the impression. Publisher floor prices this advertiser at $4.
  • Advertiser C sets up a dynamic bid for $17 for the impression. Publisher floor prices this advertiser at $20.
  • Advertiser D sets up a dynamic bid for $1 for the impression. Publisher floor prices this advertiser at $3.

In the above scenario, Advertiser B would win the auction, and pay $6 CPMs for that impression. Since one of the Deal ID bids won the auction, the impression never makes it to the open exchange. If for some reason the publisher had set the floor price for advertiser B at $7, then this auction would have flowed through to open exchange, and then advertiser C would have likely won the auction (assuming nobody in the open exchange bid higher than $17). Advertiser C would end up paying whatever the next highest bidder was willing to pay, plus $0.01.

How was that for complex? Want it to be more complex?

Some ad platforms can support a Deal ID with a dynamic bid, or a fixed price with a priority cascade. So while price mattered a lot in the example above, if one of those bids (even the low bid) was a fixed price, it would have won the auction at the fixed price. That’s how you give your preferred advertisers ways to find their preferred audience while giving them a fixed price. The trick is to negotiate well on the price on both sides so everyone gets what they want.

So while Deal ID is just one mechanism that may or may-not be part of a private marketplace, the two concepts are becoming somewhat inextricably linked together. What is a private marketplace today? It’s a complex set of interacting tools, systems, mechanisms, and approaches that can be used to give the publisher control over the prioritization of their supply against the demand represented over the exchange. Easy to understand? No. Easy to configure? No. Easy to execute against? Not yet. But worth using? Absolutely!

This complexity means power, but the complexity leads to confusion and complications. So when we have people who aren’t practitioners writing articles about very complex systems and how they are used, and then going to sources for quotes about adoption of these complicated scenarios, the answer is going to either be vague (not quotable) or clear (not accurate.) And these clearer quotes, which aren’t really very accurate in many cases, paint a picture of the space that looks like it isn’t working.

Private marketplaces give publishers control over the prioritization of buys coming from the programmatic channel. As an industry, we’re still figuring private marketplaces out — but vast and growing dollars are being spent over them in the meantime, and those buyers and sellers willing to take the time and effort to understand the complexity are winning. Yes, we need to make the execution of private marketplaces less complicated. It would be nice if we could also make them less complex, but only if we don’t lose the power that comes with the complexity. And in the meantime, the channel is growing and productive.

TechnologyUncategorized

MediaMath Retail Marketing Trends for 2015

December 18, 2014 — by MediaMath

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It’s that time of year again: time for trends. And, with the proliferation of technology (both consumer facing and for the enterprise) over the past year, marketers have made huge advancements in the way they execute digital marketing, and will continue to do so in 2015. With that being said, here is a compilation of retail marketing trends from MediaMath VP’s Edwin Lee, Eric Picard, and Commercial Director Romain Gauthier.

Edwin Lee, VP of Global Retail

Mobile and cross-device will become the new normal
Retailers will embrace the development and production of mobile and tablet optimized sites, and the process of purchasing retail goods on these devices will only continue to rise. People will research and buy whatever they want, when they want to. As a result, the data produced in these transactions will make retailers the mobile saavy marketers of 2015.

2015 will be the year of attribution
Retailers will advance their omni-channel measurement even further in 2015. They will be asking, and answering, questions like: What is the truth of my addressable media against my online and offline sales?  It’s a question few have solved well.

Marketers will become techies
As more budget moves to digital, retail marketers will only become more tech saavy and tech-agile; meaning they will understand, implement and drive the technology needed to execute against their goals. Retail marketing departments will become reengineered for new business processes focused around technology. In 2015 people, process, and technology will all come together to drive marketing.

Eric Picard, VP of Strategic Partnerships

The wealth of data will only grow
Smart watches, new wearable technologies, data collection of human behavior, thermostats, interactive surfaces on kitchen appliances and other consumer devices will all extend the data footprint of consumers as well as create opportunity to develop advertising footprints.

Romain Gauthier, Commercial Director, France

Retailers will become even smarter about how they use that data
Simple strategies for programmatic media buying rely mostly on third-party data, but 2015 will see far better use of first- and second-party data, which will result in better-targeted campaigns. Right now, every player in the industry realizes that data has significant value in programmatic, and many retailers are recognizing the value of a solution with DMP and DSP capabilities to enable the implementation of more intelligent data strategies.

Will these trends play out? Only time will tell, but MediaMath is confident that retail marketers will remain on the cutting edge of digital marketing. Edwin and Eric’s predictions were featured in the article “What North America is Saying: 21 Experts in Marketing in 2015,” along with a prediction from MediaMath VP, Jenn Vlahavas. For that complete list of MediaMath predictions click here.

Learn more about MediaMath Retail here.

TechnologyUncategorized

It’s That Time of Year: Smoothly Transition Your Campaigns Into 2015

December 17, 2014 — by MediaMath

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With 2014 nearing a close, it’s the perfect time for advertisers to determine if their campaigns are set up for a smooth transition into the new year. Keep in mind the following tips to avoid making last-minute headache ridden changes on January 1st.

1. Double-check campaign end dates
Make sure to plan your budget flighting ahead of time and know when your holiday campaigns end and your non-holiday campaigns are scheduled to resume. If you set up your new flights now, they will automatically kick into gear, and you’ll roll into 2015 with ease.

2. Adjust your campaign strategies
Did you set up a marketing campaign specific to the holidays? Great! But, if you have been optimizing against the increase in holiday conversions, be sure to adjust your strategy to reflect pre-holiday learnings so you can truly make the most of the retail “off-season.”

3. Pre-negotiate publisher deals now
Ensure that previous publisher deals haven’t expired (and that your publisher rates will remain constant) and begin pre-negotiation for upcoming deals. This is especially helpful if the beginning of the year is a competitive time in your vertical.

4. Be aware of supply changes and improvements
Note that general supply competition decreases from December to January. This is a great time to take advantage of increased supply availability and lower prices! Exchange partners have noted up to 30% CPM decreases, along with reciprocal increases in overall supply.

Take these tips into consideration before you go leave for holiday break and you can be sure to start 2015 off on the right foot.

TechnologyUncategorized

Debunking the Myth that Native Cannot Be Programmatic

December 15, 2014 — by MediaMath

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This guest post is authored by Michael Goldberg, Director of Marketing at TripleLift. TripleLift is a MediaMath OPEN partner that enables advertiser to purchase native ads programmatically.

Over the past couple of years, the industry has obsessed over two unique trends: native advertising and programmatic media buying.  Both have given marketers cause for excitement.  Native promises an opportunity to engage customers with custom, integrated ads that don’t look or act like ads, while programmatic intends to make media buying more efficient, more targeted, and most importantly, more cost-effective.

The idea that programmatic marketing and native advertising can be combined, on the surface, seems like an oxymoron.  Programmatic is designed for large scale, automated media buying, while native is so custom, each buy must require manual execution.  So it’s no surprise that many believe the two concepts would work together as well as water and oil. But as the saying goes, opposites attract, and it turns out the combination of native and programmatic is more like chocolate and peanut butter; very sweet.

The excitement around programmatic should come as no surprise.  Whether it’s digital, TV or even radio, we are moving to a world where media buying will be strictly automated.  Advertising spend in this area is expected to increase by 52 percent to $21B globally, according to research from Magna Global.  And, it seems everyday we hear about more and more companies going to an all-programmatic model. 

On the other hand we have native advertising, the little advertising strategy that could.  Despite debate on what it really is (I will get to that momentarily) everyone wants a piece of it.  Business Insider just released a report that found spending on native is expected to reach $7.9 billion this year and grow to $21 billion in 2018, rising from just $4.7 billion in 2013 and steadily matching the investment in traditional display. The fact is native will be an important part of the overall digital strategy. Whether it’s on desktop or on mobile, marketers will need to plan to incorporate native in their plans to ensure they are effectively engaging consumers while they are immersed in like-minded content.

That said, you may wonder how it will jive with programmatic, which will be the preferred method to buy media over the next few years. Good question.

First, it’s important to understand what native advertising really is. Too many people confuse native with content marketing, which I believe is a big reason many feel it cannot be bought programmatically, and rightfully so. Content marketing is the technique of creating valuable information to influence or educate a clearly defined audience.  Content advertising is the method of distributing and sharing the information so that it is in front of the right audience within the right context.  And native advertising is just one of the methods of sharing content that can be employed.  That does not mean native advertising is the bearer of the content itself. Native is simply a way to distribute messages across the web that match the look and feel of the site it is on.

Think Facebook and Twitter. The sponsored posts you’ve likely seen delivered in your news feed are actually native ads; native because they match the look and feel of those particular sites. In fact, Facebook was the first to open up their ads to be bought and sold programmatically through its exchange. At TripleLift, we’re doing the same thing, except across hundreds of sites.

By opening up our in-feed inventory across platforms like MediaMath, the opportunity to buy native advertising at scale in real-time is a reality. Our proprietary platform seamlessly integrates brand images and content into a website’s unique layout, generally through techniques such as computer vision and dynamic templating tools and employs the use of statistical analyses and machine-learning algorithms to inform targeting and optimization decisions that the individual buyer can manage.

Long story short, native is programmatic. The two methods can coexist, and if done right, can produce significant results with very little effort.

TechnologyUncategorized

Three Digital Media Lies Put to Rest

December 11, 2014 — by MediaMath

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Eric Picard, VP Strategic Partnerships at MediaMath, addressed three digital media lies, and put them to rest, in last week’s “Data Driven Marketing” column in AdExchanger. He opens his article with his “favorite” digital media myth: That an overabundance of supply (read: infinite supply) will drive inventory cost to zero. This scared and deterred publishers from early adoption of programmatic technology, but as Eric explains, this idea of infinite supply actually isn’t the case. On the contrary, Eric estimates that advertisers have around 100 opportunities per hour to reach a targeted audience.

Eric continues to put two other common industry misconceptions to rest by debunking the following statements:

“Ad inventory can be defined by the publisher and divided into pools of undifferentiated impressions.”

“Publishers don’t let buy-side systems access inventory because of potential data leakage.”

Read Eric’s story to learn about unlocking the true value of inventory and creating “win-win” situations for ad sellers and buyers alike by opening up access to data.

 

TechnologyUncategorized

How Attribution Can Improve Your Holiday Campaigns

December 10, 2014 — by MediaMath

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Timing is everything, especially when it comes to digital holiday marketing campaigns. Consumer spending tends to soar during this time of year, and the 2014 shopping season is no exception. Regardless of whether the purchase takes place in-store or online, digital will play a key role in influencing consumers to take action. A Deloitte survey found that “50% of in-store retail sales, or $345 billion, will be influenced by digital interactions this holiday season.” This is huge for retail marketers who are leveraging omni-channel marketing strategies to engage with their consumers on the channels that they are on.

But how can retailers ensure that their marketing campaigns are optimized to capture the largest share of wallet? One way retailers can guarantee their campaigns are as effective, and efficient, as possible is with omni-channel attribution. We define omni-channel attribution as the ability to associate advertising impressions (across channels) to the outcomes they drive. This ability to attribute user actions to the specific media exposures that influenced those actions is critical to understanding and optimizing the performance of digital marketing efforts.

Marketers looking to close the loop between their programmatically bought media and advanced algorithmic attribution solutions can do so with MediaMath’s Closed Loop Attribution solution, which activates our partners attribution data and uses that information to make the right bid amount at the impression level.

Consider activating custom attribution data this holiday season.

MediaMath_Attribution

For more information on MediaMath Retail, visit the landing page.

TechnologyUncategorizedVideo

Big Idea Creativity Can Be Enhanced Through Algorithmic Advertising

December 9, 2014 — by MediaMath

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As one of the fastest growing advertising channels in programmatic, video is the ‘big idea’ medium that engages consumers and encourages brand loyalty through creative personalised messages. A video can capture the emotion of its intended consumer with the right message at the right time, and make that brand more favourable in a moment. Because of this technology companies and publishers alike are looking to invest more in programmatic, specifically programmatic television. Just this week The Wall Street Journal published two stories on programmatic TV: The first focuses on Yahoo’s acquisition of BrightRoll, a video ad exchange. The second story, published today, tells of ESPN’s initial foray into selling ads through programmatic channels.

In a recent video interview with Vincent Flood of VAN, Managing Director of EMEA Dave Reed, shares insight into MediaMath’s video offering and how the ‘emotional connection moment’ can be tied-in seamlessly with advertising on other channels.

Watch the video below:

 

TechnologyUncategorized

An Interview with L.L. Bean CMO, Steve Fuller

December 8, 2014 — by MediaMath

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Steve Fuller, CMO of Maine headquartered  L.L. Bean, recently sat down with Drew Neisser, CEO of Renegade, to discuss digital marketing. You can read that interview here.

As a follow up to that, Steve sat down with MediaMath’s head of marketing, Rachel Meranus, to dive a bit deeper into L.L. Bean’s use of MediaMath’s TerminalOne Marketing OS™ in driving their programmatic strategies.

Rachel Meranus: How do you see the role of programmatic advancing for L.L. Bean?

Steve Fuller, CMO, L.L. Bean: With the new year around the corner, I see programmatic as a critical connection to reaching and driving engagement with our consumers. It’s not just a means of accessing remnant inventory; in fact, we will be driving more and more of our direct buys through our programmatic platform in the year to come. And as we ramp up our usage of programmatic, we’re testing interesting things like in-app advertising through MediaMath and iAd, advancing our use of programmatic social; and, we hope to be testing programmatic TV in the new year. But as you know, this is all a means to an end; the real goal is driving the efficiency of L.L. Bean’s marketing programs. Programmatic is part of that process. In addition, I see programmatic advancing the attribution and performance insights for L.L Bean’s marketing efforts. As a traditional cataloger, we sit on a wealth of quality first-party data. TerminalOne allows us to leverage that first-party data in ways we never could before. Lastly, I see programmatic technology increasing performance for us through the consolidation of touch points into one platform.

Meranus: You mention scale as a benefit of programmatic for L.L. Bean, can you elaborate on that a bit more? What are some of the other benefits? How are you employing ‘test and learn’ strategies?

Fuller: Yes – it starts with the consolidation of touch points that we just discussed. Programmatic allows us to easily look across customer groups, creative treatments, content stacks – you name it. We can measure revenue and, depending on performance, reallocate resources to optimize revenue for the organization. L.L. Bean has a very long history of “test and learn.” It’s been a core marketing principle here for over 100 years. Programmatic provides the perfect platform to continue that discipline and it’s one of the key reasons that we made the move.

Meranus: Do you think it was beneficial to have a programmatic platform in place during this busy holiday season?

Fuller: Definitely. Whether it’s a video campaign, banners or combinations, we are able to see how those views translated into site visits and ultimately shopping cart check outs. We can tie back actual advertising revenue to our strategies and ROI goals. This is extremely important to us. From the “pre-holiday” season up to Black Friday and Cyber Monday, and beyond, our programmatic campaigns have been and will be crucial in our seasonal marketing efforts.

Meranus: Lastly, you mention you have a ways to go with programmatic and I know from our conversations that a lot of this is focused on putting the right team in place. You’ve got the foundation of a terrific team today, and I understand you are continuing to build out that group. What are some of the skill sets are you looking for?

Fuller: When it comes to staffing our programmatic team, there are definite traits that we look for in potential hires. Many overlap with the skills required in all of our marketing positions, but a few are unique to this area.

• We look for people who ask “does this make sense?” There’s a lot of data flowing through these processes and consistency is still a challenge. It’s far too easy to sit back and accept the numbers blindly. If outcomes feel that they’re “defying gravity,” we want someone who’s willing to dig into the detail to better understand the dynamics.

• The ability to “interpret” is also valued here. Too often, there’s a temptation just to push along reports. We want people who can narrate a point-of-view, e.g. “Here’s what this means and here’s what we should do…” Yes, you’ll be wrong occasionally. But if you’re learning from those mistakes, you’re going to come out way ahead.

• Attention to detail. These systems are only as good as the data that goes into them. If you’re not paying attention – or don’t understand – your 3PAS tags, pixels, etc., you’re going to have a rough day. Especially when the results are challenging.

• Experience in advertising? Yes, it definitely helps and the work that MediaMath is doing to train future leaders in this area is amazing. But some of our most valuable employees in this area have never worked for an agency or in an advertising department. They’re smart, they ask questions and they want to push the program forward. And that matters most of all. We are actively recruiting so if you know any great marketers who have both the qualitative and quantitative skillset – creative + analytical – send them our way!

Meranus: I sure will! Thanks for your time, Steve!

Fuller: Thank you.

Learn more about MediaMath Retail here.