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By Seb Joseph

Price, not transparency or partnerships, remains the priority for clients when it comes to their agencies.

Last year, agencies pitching for the $1.7 billion global ad account for GlaxoSmithKline were asked to make upfront guarantees on the cost of media, despite it being widely acknowledged that those guarantees can’t be made for digital media, according to an executive who was on one of the pitch teams. Most, of course, complied.

The pitch had gone on for six months and was managed and audited by ID Comms and Ebiquity. It gradually morphed into negotiations over cost savings once the procurement team took over. Before that happened, GSK’s marketers had scrutinized each agency’s operating model and probed how they would provide full transparency into the money made on the media bought.

But the longer those discussions went on, fewer business KPIs and strategic relationships came up. Finally, agency executives found themselves in a corporate box overlooking a rugby pitch, giving GSK procurement team an overview of the savings they could make, said the agency executive.

Following those talks, Publicis won the account. “GSK reviews our media agency arrangements based on a number of criteria including strategic thinking and differentiation, understanding of our business, systems and reporting, quality of talent, the cost of media and contractual terms,” said a spokesperson from GSK, when asked for comment.

Savings often trumps all else if there is no clear winner on other criteria, and even then the numbers need to be highly competitive. It can create a race to fulfill those guarantees with cheap impressions that may not be safe, viewable or real.

Consultant education
Sources said that lack of education by pitch consultants –and agencies refusing to push back on invalid processes or decisions — makes matters worse.

“Running a tender for an agency or technology partner is not the same as procuring steel or glass,” said Ruben Schreurs, managing partner at digital media consulting firm Digital Decisions. “There is so much in-depth nuance in cost structures, and even more so when you go into operating models and strategic fit, that it is simply insane to apply too much weight to the bottom-line pricing in the decision process.”

It’s the standard trajectory of how many big media accounts are handled now. Transparency issues are the reason many advertisers go to pitch, but cost pressures are often what decides the outcome. According to data from Ebiquity, out of the 100 pitches it conducted last year, 54 percent said the top criterion used was cost improvement, and 34 percent said it was “strategic vision and expertise.”

At Adidas, which had a pitch for its $300 million media budget last year, the brand spent six months planning an operating model that went to agencies in the pitch document. The pitch, which was managed by MediaSense, was won by Mediacom. Sources said it was because the agency offered good price guarantees, although the company says the decision was more layered than that.

Progressive advertisers want fair remuneration, but there is still a disconnect between the marketing and procurement teams.

“The dynamic is changing, but I don’t think we are where are we should be,” said Laetitia Zinetti, managing principal for media management at media analytics specialist Ebiquity. “It can be difficult for an advertiser to differentiate between agencies on their strategic capabilities, so they look at how efficient they’re going to be — not just on the media costs but on the remuneration and technology costs too.”

The problem is advertisers are struggling to know what they don’t know about online media, and the pitch consultants are scrambling to fill in the blanks.

“The field of pitch consultants is growing fast, and levels of expertise are not everywhere,” said the media director at a luxury advertiser on condition of anonymity. “For remuneration, we use full-time equivalent payments and an incentive element. We want our partners to be profitable, but ideally at the same rate as we are. We do, however, see a shift in the market toward outcome or performance-based remuneration.”

Clients may even respect when agencies push back: “I worked on a pitch recently where a major agency declined to pitch in a major market because they felt they couldn’t compete on price,” said the marketing procurement director for a global CPG advertiser. “I was surprised, and it was a bit inconvenient for us, but ultimately I respected their honesty — and they saved their people a lot of work for likely little reward.”

This marketer said price guarantees are still useful criteria to judge an agency’s ability to buy digital but insisted the primary focus should be on the effectiveness of that media. “Pitch consultants continue to struggle in this area,” said the marketing procurement director, who is part of a broader push at the advertiser to take both pitch management and media management in-house.

“The KPIs on which we judge agency performance in online clearly need to include price, but should be much broader and encompass how well that agency fits with our strategic priorities such as reach versus quality, viewability or value chain transparency,” said the marketing procurement director. “I have yet to see a structured approach to this from pitch consultants that doesn’t ignore pricing but enables comparison on these broader ‘softer’ metrics.”

New models
Advertisers continue to use price guarantees to award media agencies because the cost of media is easier to determine than its effectiveness. Absolut, BT and L’Oreal have all tried to adopt newer ways of paying agencies in recent years. Whether it’s driving sales, customer loyalty or selling a car, measuring the effectiveness of these outputs is still subjective, which makes it hard to see the value. Few advertisers and agencies can get to the balance of risk and reward.

When Volkswagen ran its media pitch in 2016, one agency on the account proposed a cost-per-car remuneration model, according to one executive on the pitch. The carmaker declined. It’s hard for an advertiser to commit to outcome-based models like a cost per car when advertising is one of several factors that could impact sales, and subsequently hard to attribute a value to it. Scrapping the more traditional commission-based remuneration models like price guarantees is not a simple process.

“There is often a tension in media agency reviews between strategic marketing objectives and the need to demonstrate efficiencies,” said Nick Manning, svp at consulting business MediaLink. “Bluntly put, marketing wants innovation, and procurement wants lower costs for the same media. Digital has to be handled differently. It’s about effectiveness and value, not price, and performance has to be tracked differently. You can’t benchmark digital in the same way as TV.”

By Seb Joseph

Sourced from DIGIDAY UK

By

Online advertising is a crucial component of the modern world. It’s how consumers get the help they need to make important purchasing decisions. Additionally, it’s also how businesses improve their chances of earning sustainable revenue streams. Unfortunately, shady practices in the digital environment have led to some controversy over how ethical certain online advertising solutions might be.

Data Collection And Sharing

It’s no secret that organizations like Google and Facebook are constantly gathering data about users in order to provide consumers with a more customized web experience. These major advertising bodies then process user data, package it up and hand it off to other interested parties. This is how they make sure they’re making enough money to provide their clients with a free service.

While research indicates that most people don’t mind sharing their personal information with firms — particularly if it leads to a better shopping experience — they do expect to be asked for their permission first and potentially offered something valuable in return. In fact, according to a study by Columbia Business School, 80% of customers would voluntarily reveal data about themselves in exchange for better product recommendations or rewards points.

Problems do arise, however, when companies collect data without asking. Many people regard this information-gathering practice to be unfair, invasive and, in some cases, illegal. Not only does involuntary data collection upset customers, but it’s also incredibly difficult to keep that information safe, sometimes leading to data breaches and the problems that follow.

Transparency And Keeping Advertisers In Check

Rather than collect data underhandedly, companies need to come up with transparent solutions that effectively balance a tailored user experience and commitment to privacy.

Providing consumers access into which personal pieces of information are being transmitted through the data collection process, and where this information is going, may help advertisers retain consumer trust while being able to collect the data they need.

Agencies and clients alike need to maintain financial and operational transparency, both of which can be obtained via visibility and real-time reporting on their advertising campaigns.

Paving The Way For Better Customer-Company Relationships

If your goal is to build trust in a customer-company relationship, honesty is key. Re-establishing trust, however, requires coming clean about the information you’ve already gathered. From that point on, your company can listen to consumer reactions and concerns, validate their responses and ultimately form a game plan that addresses steps you’re taking to move forward.

Although a project that relies on greater transparency throughout the advertising world might mean that many companies must transform the way they do business, from my perspective, this could be an important step forward in the advertising industry.

The Demand For Greater Transparency

No matter how complicated this new change might be in the eyes of advertising brands, there’s an underlying agreement among many companies that something must be done to improve the regulation of transparency in the marketing and data-gathering sphere. Additionally, with new EU legislative framework set in place, these tools and ideas will not only be relevant to a large selection of firms but also an important part of maintaining compliance.

Ultimately, the rising popularity of a digital world doesn’t necessarily have to mean that customers must give up their privacy. While companies will always need data to help them make more informed and confident marketing decisions, it’s important to think carefully about how this information is collected and stored. All consumers should have a choice about who gets to access their data, and the online world is working hard to make this expectation a reality.

Feature Image Credit: Shutterstock

By

Tim Nichols is a founding partner at ExactDrive, a leading Online Advertising Platform with managed services and reseller options available.

Sourced from Forbes

Advertising is strangling the web, and that may have to do with the declining value and lack of transparency associated with the players that dominate it. (Image: Anders Emil Møller / Trouble).

By for Big on Data.

The problem with advertising data and what to do about it. Plus, the future of big data architecture, and other stories from the Ad Tech trenches.

The greatest minds of this generation are wasted on advertisement. Or at least, that’s what someone who has been there and done that thinks. Like most successful aphorisms, this raises eyebrows, drives heated discussions, and strikes a point or two.

Marketing and advertising have enormous influence on society at large — business, technology, media, culture, and data. So, discussing with people working on the intersection of those can offer some insights on the state of the union of Big Data and Ad Tech.

Advertising is big, and so is its data

Advertising is a multi-billion dollar business that has been going through the process of digital transformation for a couple of decades already. Some of today’s most advanced, powerful, and influential companies have advertising embedded in their core.

A good part of the innovation that has been driving big data has come about as a response to the needs of advertising at scale before getting a life of its own. MapReduce, for example, the blueprint for Hadoop’s first incarnation, was originally developed and deployed at scale at Google.

But although Facebook and Google, the ‘Big Two,’ are by far the biggest players in the digital advertising space, they are not the only ones. The Ad Tech, or Marketing Tech, scene is booming, and programmatic marketing is taking over quickly.

Mike Driscoll, CEO of Metamarkets, points out that marketing is being digitally transformed and marketers are following suite. Metamarkets is part of the Ad Tech wave, and its core business is to provide marketers with insights on their digital presence.

“The future will be digital,” Driscoll says. “CMOs (Chief Marketing Officers) are turning to CMTOs (Chief Marketing Technical Officers). But as marketers are going digital, they are also starting to have less trust in some of the channels they’re buying from. Investing in technology means they are now able to hold their partners accountable.”

The problem with advertising data

Driscoll has more than anecdotal evidence and opinions here. Metamarkets just published a survey called the Transparency Opportunity, in which it attempts, as it says, to quantify the benefits of trust.

The findings of the survey show that almost half of the brands using programmatic media buying believe lack of transparency is inhibiting its future growth and scale. But what do we talk about when we talk about transparency here?

“All marketers work with the established duopoly — Google and Facebook,” says Driscoll. Metamarkets also works with other platforms, such as Twitter and AOL, but it’s the Big Two that dominate the advertising market. While the market is growing, nearly all of that growth is driven by Google and Facebook.

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The advertising pie may be growing, but the growth is driven by a duopoly. (Image: Jason Kint)

It’s not hard to see where this is going: Google and Facebook dominating the market and dictating their terms. This presents a problem for all parties involved. For media, depen

dence on advertising translates as dependence on the Big Two. Media are trying to find ways to cope and come up with new models of doing business while maintaining their editorial independence.

For consumers, the ever-increasing volume of advertising means they are constantly bombarded by a barrage of ads. They are told that this is the price they have to pay for having access to free content, and to a certain extent, it is true. The problem is that more and more advertising is strangling content, consumer fatigue is taking over, and the value and effectiveness of advertising is dropping.

Obviously, this presents a problem for advertisers and their clients. “Marketers want more transparency. They would like to get a receipt for what they buy, instead of a powerpoint and a good story,” Driscoll says. “Brands are asking from their partners to provide better analytics. Historically, channels have been providing results, but not analytics on the results.

Digital transformation means that we don’t just buy goods anymore, we also buy data about the goods. Take AWS, for example: When they started, they just provided the service, but by now, you also get analytics to go with it. Major channels need to invest more not just in internal technology, but also in providing better data access to their partners.”

The big guys will just not share

But, seriously, this is Google and Facebook we’re talking about. Are we to believe that the most iconic data-driven organizations in the world can’t make the right data available to marketers? “Ask any marketer and they’ll tell you — the big guys will just not share. It’s not in their interest to be transparent, but rather to be as less transparent as possible,” Driscoll says.

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Almost half of brands being advertised see lack of transparency as a problem. Image: MetaMarkets

So, what can be done to deal with this? The real power of marketers is the power to check them, according to Driscoll. “If you look at the leaders emerging in Fortune 500, the next generation of marketers are technologists, and they are demanding independent audits and data. Consider this:

For a long time, advertisers wanted to know if their ads were viewed or not. Facebook says, ‘OK, we’ll measure it ourselves.’ And they got away with it for a while. They reported their own view-ability stats, just like NBC used to report how many people viewed their own shows.

In the last year, that has changed. Marketers says, ‘We will not send advertisements to Facebook, unless we have an independent source of truth.’ So, Facebook responded by providing access to their data to a company called Moat, which built a business model around auditing Facebook data.

That does not mean Facebook and Co., will give away all of their data — you also have to consider privacy issues here. But when you talk to brands, even though they will not say that in public, they are actually doing that. When you have budgets in the tends of millions, you can do that — pull data out and do what every marketer would like to do: Build a unified view over their channels.”

Analyst super powers

But what about the rest of the world, the ones that don’t have the budget to cope with this? Perhaps regulation would be needed, so if the big guys won’t share, someone should make them?

“We’ve been hearing rumours about the Congress getting involved, but for most businesses that would be the last resort. It’s not the ideal solution for marketers or media companies, especially considering the all-time low approval ratings in the US right now,” Driscoll says. For him, the answer is in marketers investing more in analytics.

On the one end of the continuum, organizations can do it all themselves, using infrastructure like Hadoop and analytics tools that sit on top and can help them collect and analyze the data they need. On the other end, Metamarkets touts itself as the right solution for marketers.

Metamarkets is a domain-specific solution that builds on four pillars: Fast data exploration, intuitive visualization, collaboration, and intelligence. Driscoll elaborates: “Scale is a requirement, and we are quickly moving towards streaming events and data.

Interactive visualization helps you understand what’s going on. You need more than dashboards. Dashboards may update, but the questions they answer stay the same. You need collaboration — like Slack for data, that helps teams communicate and share methods and insights.

And you need intelligence. In analytics, you spend 80 percent of your time preparing data and 20 percent actually doing analysis. We have ETL connectors for a multitude of platforms that help get the data where you need them. Plus, it’s one thing to show data, and another thing to search for insights.”

Metamarkets tries to look at what analysts do and automate that to suggest root causes. For example, a campaign running behind targets is something that can be monitored using metrics. But to get to the reason why this is happening, an analyst would slice and dice data per region or demographics.

Metamarkets says they can automate this process and suggest root causes, evolving from tracking statistical significant signals to deriving business-focused insights. “We let analysts specify metrics they are interested in, and then perform root cause analysis for them. We believe in machine and human working side by side, not in replacing analysts, but in giving them super-powers,” Driscoll says.

Data at advertising scale and the future of pipelines

As Metamarkets has been on the forefront of data at advertising scale, and Driscoll himself has served as its CTO, he shared some insights on the evolution of big data architecture: “We have been pushing the limits of scale, so we encounter problems before others do,” he says.

This has resulted in MetaMarkets developing and releasing Druid, an open-source distributed column store. “We created Druid because we needed it and it did not exist, so we had to build it. And then we open sourced it, because if we had not, something else would have come along and replaced it.”

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MetaMarkets has been evolving its data pipeline, but still not turning to Kappa architecture on the grounds that its clients are not ready for it. (Image: MetaMarkets)

Druid is seeing some traction in the industry. Case in point, when Hortonworks’ engineers recently presented their work on the combined used of Hive & Druid at the DataWorks EMEA Summit, they attracted widespread interest. Could this mean there may be a valid case for building a business around Druid?

“We have the largest deployment in production, and we love being part of the community. Druid is used by the likes of Airbnb and Ali Baba. But we have no plans of building a business around it. We don’t believe the future is around data infrastructure, which is becoming a commodity, and we don’t want to be competing against the Googles of the world there.

Sure, this may be working for companies built around Hadoop, but commercialization of open source needs widespread adoption to succeed. But I can tell you that Cloudera and Hortonworks are looking to add Druid to their stack and to the range of services they offer.”

Read also: Has the Hadoop market turned a corner? | Open source big data and DevOps tools: A fast path to analytics applications | Finding the anomalies in big data with machine learning | Cloudera’s new data science tool aims to boost big data and machine learning for businesses (TechRepublic)

Driscoll does not believe in horizontally expanding Metamarkets, even though its experience in building data pipelines at scale could in theory be applied to other domains beyond advertising. Its own pipeline has been evolving, going from Hadoop to Spark and from Storm to Samza.

“Spark is more mature and it meets our needs at this point, and we also feel about the same way about Samza,” he says. “But we see streaming as the future of our pipeline. When you work with streaming, there’s a sort of CAP theorem equivalent that applies there.

In distributed data stores, you have consistency, availability and partition tolerance, and you can pick two of those that your system supports simultaneously. In streaming data, you have accuracy, velocity, and volume, and your system can only support two of those simultaneously.

This is why we think the model supported by Apache Beam, Google Data Flow, and Apache Flink will be key going forward. When streaming at scale, there’s no such thing as objective truth, so you have to rely on statistical approximation and on using watermarks.

Do we see our current Lambda architecture giving way to a flattened, Kappa architecture? When you work on the bleeding edge of real-time architecture, the ability of organizations like Metamarkets that are in the business of integrating data from other sources is important.

But when it comes to other companies, not many are yet at the point where they can stream data out. Only the most sophisticated, agile companies out there are able to do this. At this point, only about 50 percent of our clients are there.”

By for Big on Data

Sourced from ZDNet