main

TechnologyUncategorized

Getting Meta With Game Day Ads

January 30, 2015 — by MediaMath

Meta_GameDay_MediaMath.jpg

Advertisers love the Super Bowl. The big game has become the biggest day in the industry- you can see trailers about commercials, ads before ads, and follow up campaigns that are planned for yearlong ad stories. Let’s also not forget that while the ball is being run down the field, these ads are being served on so many different channels and screens, a multitude of social sites, apps, wearables, radio. It’s a big deal.

With so many ways to reach and engage audiences and the number of brands looking to make an impression, it could be a challenge for marketers to rise above the noise and make a touchdown. As data-driven marketers, however, we can always learn from our advertising wins and losses.  And with sophisticated technology, marketers are able to quickly and creatively make smart marketing decisions making the experience better for all.

As an experiment, MediaMath and OPEN partner Flashtalking are going to execute a meta take on the most important ad day of the year.  On Super Bowl Sunday, we will be putting Flashtalking’s dynamic creative solutions, that enable real-time, responsive ads, to work and executing ads through our own TerminalOne Marketing Operating System.

The kicker (pun intended): We’ll be joining forces with Karl Greenberg from MediaPost to write and update ad copy that respond to the infamous Super Bowl ads as they appear.  We’re creating an ad experience for the ad industry that will showcase how engaging real-time creative can really be.

No matter who you root for, join us on game day and see for yourself.

TechnologyUncategorized

How (and why) Emerging Media Should Plan for Scale

January 30, 2015 — by MediaMath

Planning_MediaMath.jpg

Friday’s are for digging in the content vault; this article was first published in January of 2014 on iMedia by Eric Picard, VP of Strategic Partnerships, MediaMath and has been republished below.

People in emerging media spaces frequently ask me how they can get advertising into their content experiences or how they can use their technology to create value for advertising technology companies. Recently someone asked me about using bitcoin in advertising. In the past, I’ve spent hours working with clients who have hired me to help them figure out advertising models for their new emerging media products, despite my telling them early on that it’s unlikely that there’s a “there, there” related to their situation due to scale.

This is apparently hard for people to wrap their heads around, so let’s talk about this specific issue — the issue of scale in advertising. At its heart, the issue of scale is possibly the biggest and most fundamental issue in advertising — and it is frequently misunderstood. Here are my three rules of scale in advertising:

  • Advertisers need to be able to spend relatively significant budgets efficiently at a low cost per impression.
  • Advertising campaigns need to be able to reach relatively large audiences without significant complexity in managing them.
  • Return on advertising spend (ROAS) needs to be able to be calculated in some form (including, in many cases, very simple key performance indicators).

Let’s talk first about the difference between marketing and advertising. I’ll give you my definitions, as the dictionaries don’t do justice to the concepts:

Marketing is about communication; it is a commercial message to a potential or existing customer, and increasingly it is a two-way conversation with potential or existing customers. Marketing includes one-on-one conversations between employees and prospects, mail and email communications, advertising, public relations, and more.

Advertising is about reaching the largest possible audience, with the best available message, as effectively, inexpensively, and efficiently as possible, generally through distribution over a large media channel. Advertising is a subset of marketing, but it has unique properties and rules that one needs to be aware of in order to apply it as a revenue source.

The most important concept that defines advertising as opposed to marketing is scale of reach at a reasonable cost. Advertising generally requires that a very large audience can be reached at a low cost per impression. Not only must the cost to reach the audience be relatively low, but the cost to manage the buying of the advertising media must also be relatively low. In addition, the ROAS must be somewhat measurable. That said, ROAS is a fairly squishy way of discussing a variable and varied set of metrics that are generally constructed on a per-advertiser — or even per-campaign — basis to gain an understanding of results.

At this point, a few of you are probably getting ready to argue with me about some of the things I just said. The likely argument revolves around some high-CPM inventory that is bought by some advertisers for some campaigns at a very high rate. And while this does happen, my points above still hold true. The cost of the inventory is relative based on the goals of the campaign and an analysis of its results.

For instance, some inventory that is highly targeted or highly effective can sell for a high CPM, but it can still meet the ROAS goals of the campaign. This can be due to high performance or a relatively rare target audience (perhaps extremely high income or very niche interests, such as pilots, airplane owners, or sky divers). It can also be due to a highly competitive media set (e.g., auto-intenders or people who manage investments).

ROAS is a superset of all the various means of calculating performance because ROAS can be based on brand metrics as well as performance metrics. It can be as laser-focused as a tightly bound formula including cost per acquisition (CPA) and the margin on the product that the “A” drove. Or it can be as broad as understanding that for every dollar of advertising spent (using some kind of analysis that could be sophisticated or simple) gross sales increased by some amount.

The ROAS calculations can also be derivative. For instance, there may be a very clearly understood metric that has very clearly understood value that can be used as the primary goal of a campaign. For instance, in the automotive space, the value of a test drive is very clearly understood; most car companies know exactly what the conversion rate is between test drives and purchases of their cars. It’s common to use test drives as a campaign goal, which is not really the goal of the advertiser, but it is fairly measurable and clearly understood in secondary value in sales.

For those trying to roll out a new (or emerging) advertising medium — one that is based on new content models, new distribution models, or new devices or technologies — this concept of scale is critical. Until a media type can provide enough reach to be of value, it’s hard to use advertising as a mechanism to fund it. That number varies based on the make-up of the audience using the media.

For instance, if a new hand-held device for hedge-fund managers were launching, the audience size needed to be ad supported would be much lower than a hand-held device for the homeless. For a mixed-audience scenario, one that’s by nature more affluent (since most emerging media scenarios tend to appeal to early adopters, who tend to be affluent), the magic number seems to be at least in the hundreds of thousands, but it can range into the millions.

The more information available about the audience that is adopting the emerging media, the more likely early ad funding is to occur. This audience data must be collected up front. The task cannot be left until later. If it is, there likely won’t be a “later.”

TechnologyUncategorized

Put Some Passion Into Your Valentine’s Day Advertising

January 29, 2015 — by MediaMath

Be_Mine_MediaMath.jpg

Love (and spending) is in the air; a National Retail Federation survey estimates that American consumers will spend $18.9 billion this Valentine’s day, a survey high. The consumer holiday presents a huge opportunity for advertisers, especially retailers, looking to betroth their advertising budget to V-day. The NRF reports that “discount (35.2%) and department stores (36.5%) will be among the most visited locations for those looking for the perfect Valentine’s Day gift, as will specialty stores (19.4%) and florists (18.7%).

So, how can advertisers ensure that this Valentine’s Day isn’t one of unrequited love between their brand and their consumers? For starters, MediaMath has created a list of sweet, sweet digital strategies that advertisers can use to boost the performance of their digital marketing strategies. The landing page also includes a list of private marketplace and automated guaranteed deals from within MediaMath’s Deal Discovery app. Last, but certainly not least, we’ve included examples of contextual targeting segments, and audience targeting keywords, that advertisers can buy against.

Put some passion into your Valentine’s Day advertising and visit the landing page for tips, publisher deals, and segment recommendations.

TechnologyUncategorized

MediaMath Retail at Your (Full) Service

January 27, 2015 — by MediaMath

online_shopping_tablet_MediaMath_Retail.jpg

Retail marketers are no strangers to the effectiveness and potential that programmatic marketing provides. In fact, retailers outspend every vertical in the programmatic space. Yet, unfortunately, that doesn’t mean that creating a programmatic marketing practice is a simple or necessarily straightforward process that happens overnight. While retail marketers know more about their customers than probably any industry in the world (retailers sit on a vast wealth of 1st-party data), they face specific data challenges related to leveraging that data to drive greater ROI in their digital marketing efforts. Additionally, retail marketers cite difficulty in measuring their offline store sales back to their online media spend, and creating a holistic view of their audiences across channels as other hurdles to creating a truly omni-channel marketing practice.

That’s why we’ve introduced MediaMath Retail. This new service delivers a tailored solution that meets the unique needs of digital retail marketers; by combining MediaMath’s marketing technology with expert services, and retail industry expertise, MediaMath Retail is a holistic solution for retailers that want to elevate their retail marketing practice. The combination of technology and service ensures that retailers are fully equipped to achieve success with TerminalOne, with account direction, strategy support, to campaign management. This package empowers retailers to put the technology and their data to optimal use, giving them the potential to create campaigns that speak to their customers in novel and meaningful ways.

MediaMath Retail gives retailers the power to:

Create a 360-degree audience view: With all the data available from first party sources, including purchase data, loyalty data, web analytics and more, retailers have a solid view of who their shoppers are. With MediaMath Retail, retailers can leverage that data and put it to action, delivering the best possible experience for the shopper while yielding optimal business results. Additionally, retailers can refine their audience targeting with MediaMath’s data partners. When third party data is added to the mix, retailers can target against audience collective data, retail-specific segments, and more.

Create relevant messaging in real-time: MediaMath Retail delivers one-to-one advertising with its messaging solution. By connecting retailers with best-in-class partners for dynamic creative, retailers can vary their creative based on goals, audience, market, and more. Retailers are now able to move customers through the path to purchase even faster – regardless of whether they are cross-selling, up-selling, or prospecting.

Scale beyond all measure – vast, infinite, and growing. With 3.6 trillion impressions available in addressable media every month, the scale offered by programmatic through MediaMath Retail is unparalleled. One connected source provides retailers access to addressable media on all channels – desktop display, mobile, video, social and emerging media channels like programmatic native.

Optimize in real-time to fine-tune everything: The last component of the MediaMath Retail technology solution is the optimization solution. Retailers can now understand the value of each touch point & optimize against that type of insight. Additionally, retailers can identify sales gaps in their customer life cycle to understand what media is performing and what’s not, which audiences are performing best against goals, and which creative is delivering the best outcomes.

These are the possibilities brought to light by programmatic. With MediaMath Retail, the advantages of programmatic technology and data can go to work for your business today. It’s a complete technology stack that puts all the pieces together for you: audience, media, messaging, and optimization. MediaMath Retail fulfills the promise of one-to-one retail marketing with a single operating system—empowering today’s marketer to find and segment customers, deliver the right messages on the right device, and optimize consumer interactions to make digital marketing more precise and powerful than ever before. For more information on MediaMath Retail, visit the landing page.

DataTechnologyUncategorized

The Attribution Revolution

January 26, 2015 — by MediaMath

click_click_MediaMath.jpg

A version of this post first appeared on ProgrammaticAdvertising.org

The time has come for a revolution in attribution. The consumer journey is far from linear, but rather involves a sequence of media impressions in which conversions very rarely occur on the first impression.  Yet the last-click/last-view attribution model of digital marketing – which doesn’t account for this shift in consumer behavior and still credits the ad that the consumer saw right before making a purchase – is quite prevalent in the industry even though there are more sophisticated and accurate attribution solutions available. These more effective methods provide tremendous benefits to marketers, enabling them to gain greater visibility into the consumer journey, better positioning them to strategize and credit each media partner that is influential along the path to purchase. Pathway analysis reporting is one tool that empowers marketers to see and under stand which media strategies and partners serve impressions to the same consumer, and is a topic that I’ve covered previously on the MediaMath blog.

Quantification of individual touch points 

Further strengthening pathway analysis is the ability to quantify the fractional credit that each touch point deserves by considering their impact on the final purchase.  With a sophisticated attribution solution, marketers can define the value of touch points – whether they increased brand awareness, engagement, or led directly to a sale.

The biggest benefit from an attribution solution, however, can be gained when it provides a closed-loop approach, using data gained from the purchase path for real-time decision making and media buying. An advanced attribution model can determine the value of a particular impression to a brand based on its role in the conversion path.  The media-buying technology then ingests this data and automatically applies it to future bidding decisions, so rather than treating each impression as having led to zero conversions, or one full conversion, each impression in the user path will reveal its true market value.

Replenishing the consumer pool

Remarketing campaigns deliver high conversion rates and, as a result, are often credited with having the most impact on the final conversion. The remarketing pool, however, needs to be continually replenished to allow remarketing methods to perform efficiently. Advanced attribution models allow marketers to identify strategies that introduce new, incremental consumers into the top of the sales funnel, rather than simply remarketing to the same consumer group over and over.

By leveraging the power of newer attribution models, marketers can identify both the gaps and the opportunities in their campaigns, and use real data to optimize their marketing at every stage of the consumer journey. This creates budget efficiency and greater marketer ROI, as spend can be allocated to strategies that make a quantifiable contribution to final conversions.  It’s time to give credit where credit is due.

TechnologyUncategorized

What Does the 2015 Consumer Look Like?

January 22, 2015 — by MediaMath

NFC_mobile_payments_MediaMath.jpg

“Apple Pay will forever change the way all of us buy things.” – Tim Cook

Retail shoppers have changed with the times. Consumers today embrace digital devices and tools, research products on the go, showroom to get the best price on what they want, and turn to their digital device to make a purchase, rather than turn into the parking lot of their favorite brick and mortar store. Personally, I have changed my shopping habits using Apple Pay and ‘showrooming’ with my device in hand.

And most recently, the introduction and proliferation of digital payment systems into the mainstream has only furthered the transition from physical to digital. Systems like Apple Pay, for example, could be a differentiator, taking nearly all the friction out of the online purchase process, while also making offline purchases faster and easier. A recent Business Week report on mobile payment start up Venmo titled “Cash is for losers” attests to the larger trend of consumers using new transactional networks to make payments digitally, and represents a shift of power to the consumer in our ever-evolving e-economy.

While consumers have always had the power to vote with their wallets, they now wield even more power, with decentralized digital currencies like Dogecoin and Bitcoin. There are a plethora of options, ways and places to shop. Therefore, it’s crucial for retailers to not only be responsible with customer transactions to earn and keep their trust, but also to create easy and consistent experiences from within the store to on the device.

As a result, retailers need to understand more than just the technology landscape. They need to understand how it has fundamentally altered consumers and their behavior. Scott Snyder, senior fellow at Wharton, outlined several new consumer segments that should be recognized by retailers:

  • Analogs: Those who aren’t able or aren’t interested in engaging in digital/mobile technologies
  • Wannabes: Nascent users who are eager to get up to speed and catch up to the cool kids
  • Mainstreamers: “The pregnant middle of the market, ready to be nudged toward behaviors and outcomes that are good for them and others.” These are the most eager and valuable users.
  • Paranoids: The hardest users to persuade of value, and the easiest to turn off
  • Chameleons: These users change their behaviors according to their present interests and situations. They are protective of their data and take it upon themselves to understand how it will be used
  • Digital Nomads: While willing and eager to share their data for a fair value exchange, retailers would be wise to remember that these users expect an exceptional experience as that return.

It’s important for retailers to understand each of these segments and how they should be approached at every stage of the buying cycle. Companies that are able to reorient their marketing and product-development efforts around digital customer segments and behaviors will tap into the hypergrowth that mobile, social and wearables are experiencing,” says Snyder. What’s important is, as always, to put the user first and create experiences that are relevant and appropriate to each audience. So, retailers, how are you optimizing interactions, activating data, and tailoring messaging in order to engage with the new and varied consumers of 2015?

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

TechnologyUncategorized

Programmatic is About to Change Gears in Spain

January 21, 2015 — by MediaMath1

Madrid_MM.jpg

Marketers in Spain fall into two camps with different educational needs. Those marketers who are already familiar with programmatic are now focused on building more efficient buying strategies, while those who are only just coming to the market are still finding the programmatic environment confusing. The latter need help to clearly understand the potential of the technology, as well as advice on building the right strategies to suit their business goals.

While programmatic advertising is already accepted in the Spanish market (programmatic accounted for 84% of total digital ad spend in 2013, according to eMarketer), advertisers here can continue to streamline their digital media buying in order to move even more ad spend into programmatic channels. Advertisers, and the industry as a whole, must address the following challenges on a parallel path:

• Educating marketers so they can understand the potential of automated ad serving
• Learning how to make more effective use of data for campaign optimisation
• Ensuring the ads served are engaging and compelling

The Spanish marketplace is evolving rapidly, with sectors such as retail, travel, automation, and telecom leading the way in the adoption of automated ad serving. MediaMath’s Madrid office opening furthers MediaMath’s established presence in EMEA, and is fueled by the region’s growing demand for programmatic technology, as well as requests from global and domestic clients for on-the-ground expertise in Spain. One client, a progressive digital agency in Spain, Wink TTD, is a prime example of an agency leveraging programmatic to effectively driving results in Spain. Wink’s client, a retailer, was able to detect the right users and lookalike profiles to deliver targeted ads that created a click-through rate 65% above expectations after Wink combined a data layer with MediaMath’s capabilities. Ultimately, the quality of the engaged users boosted website activity by 25%.

Traditionally, Spain is a late developer in adopting new modes of business, but the programmatic market is very dynamic and I think the region will continue to accelerate substantially in the next two years.

TechnologyUncategorized

Revenue Marketing Calls for Revenue Metric Optimization

January 21, 2015 — by MediaMath1

Business_MM.jpg

Marketing is undergoing a major transformation. Once considered to be the ultimate cost center of any business, the marketing department is now considered as a necessary and effective revenue center. This shift is fueled by a number of key factors. First, the evolution of advertising and marketing technology has made marketing’s work infinitely more accountable and transparent. The proliferation of powerful marketing technologies has illuminated the importance of business performance as a result of marketing, and simultaneously provided marketers the ability to optimize their campaigns against performance goals. Second, as businesses compete to profitably find and retain customers, marketing must now account for every dollar spent, demonstrating how it delivers value to the business.

Through this evolution we’ve seen a progression in the marketing metrics used to measure effectiveness. Cost per click (CPC) replaced cost per thousand (CPM), only to be replaced itself by cost per conversion or cost per acquisition (CPA). This is where the majority of digital marketers operate today, optimizing to generate the greatest number of conversions for their campaign budgets.

However, for revenue marketers CPA has two critical flaws. First, as its name implies, CPA is a cost-centric metric, chaining marketers to the historical paradigm of efforts, rather than outcomes. Second, CPA falsely assumes that all conversions are created equal.

For example, let’s look at a retailer that runs just two campaigns:

Campaign A Campaign B
Campaign Budget $50,000  $50,000
Unit Sales (conversions) 2,000 1,375
CPA $25 $36

Using the traditional CPA model, marketers would see the 31% lower CPA of Campaign A over Campaign B and allocate more budget towards Campaign A. However, look what happens when we evaluate these campaigns through the lens of revenue metrics:

Campaign A Campaign B
Average Order Value $30 $50
Campaign Budget $50,000 $50,000
Unit Sales (conversions) 2,000 1,375
CPA $25 $36
Revenue $60,000 $68,750
ROI 20% 38%

While Campaign B has a higher acquisition cost, it generates a 47% better return on investment, making it the more effective of the two campaigns. Because Campaign B generates $20 more per conversion than Campaign A, it performs much better, despite its lower conversion rate and higher CPA.

Revenue marketers need to be laser focused on revenue metrics and ROI rather than just cost optimization.   As you build out and optimize your 2015 campaigns make sure you’re able to measure their revenue impact, ROI, and optimize around them.

TechnologyUncategorized

What’s Your Advertising Game Plan for the Big Game?

January 20, 2015 — by MediaMath

game_time_MediaMath.jpg

You don’t have to work in advertising to know that the Big Game is THE television advertising opportunity for brands; last year’s game saw 111.5 million people tune in.  Advertisers are already lining up to purchase 30-second spots for this year’s event. However, TV isn’t the only channel advertisers should count on.

With this year’s game rapidly approaching, we’ve outlined some best practices for advertisers looking to drive additional value from their traditional media buys with programmatic advertising. Follow the plays and you will be sure to score your very own advertising touchdown.

Hut, hut, hike!