Tags containing: "third party data"

With the cookie crumbling, the new recipe for data-driven success features consumer trust

October 7, 2019 Amit Elisha, Vice President of Product–Outbrain

The digital advertising industry is changing. Third party cookies are being rendered obsolete by recent browser updates including Safari’s ITP 2.2/2.3 and Firefox’s v69. Users are also becoming wary of how vulnerable their personal information is to misuse and mishandling following the Cambridge Analytica Scandal and Equifax Data Breach – among others.

In the face of this shift, the industry needs to behave responsibility and be cautious, so that “data” is not called out as the underlying issue that needs to be solved. Data is not inherently good or bad. And when data is used responsibility, it empowers digital media and advertising. Data can a user to discover a compelling article or product that they may have never found on their own. It also gives tools to advertisers to be strategic about who, when, and where their messages reach valued consumers. And data allows the world’s leading publishers to focus on producing quality content that consumers depend on.

As an industry, we are scrambling to find tactical solutions to each new browser update or legal regulation that comes out. Despite the need to address these emerging issues, we must keep our eye on the big issues. And the proper use of data is one we must focus on.

Consumer privacy comes first

Consumers have a right to privacy. They also have a right to know how their data is used and shared and they have a right to determine if they are comfortable with their data being used for advertising. The industry needs to come together to align on governing principles that, at the core, have fundamental protections in place for user’s data across the entire ecosystem.

There needs to be a sincere consideration for the user’s right to privacy and fundamental protections in place for their data across the entire ecosystem. Consumers need to feel safe and protected online. And their information is not being misused or mistreated. Additionally, we need to be mindful with the perception of “creepy ads” in order to build the level of trust like that of users sharing fingerprints and face recognition with phone manufacturers.

Education is key

The industry needs to better inform users about how their data is being used and provide the option to opt-out. At the same time, it is critical to teach users about the importance of advertising and how it fuels the free content that they consume on a daily basis.

Moreover, we need to educate users on why allowing sharing data with responsible parties can help them have a much better experience and receive more personalized ads. With more and more direct-to-consumer brands, consumers mostly learn about them and their products through advertising. These companies are taking on giant competitors and need to be very efficient with their advertising. To do so, they focus on providing a unique and added value to consumers, particularly early adopters. The most effective way to reach those people is by using data and customer profiles.

We also need to be open about how data driven advertising supports journalism while making a true and honest best effort to provide value to marketers, publishers, and users.

Let’s build a healthy economy

In order to move forward, we need to commit to building a healthy digital economy and evolve compliance in order to restore trust among consumers. We need to look at ways to ease concerns among users, providing more transparency across the web and making it easier for users to exercise their right to privacy. We need to educate users on the value of their data and the ways that it is being used to provide a healthy digital economy that they can benefit from. The bottom line is a cookie-less world means one big thing for advertisers: We need to gain back the user’s trust in order to succeed as an industry.

Perspectives

Shakespeare, meet Einstein—Making the leap from data insights to artificial intelligence for content marketing

March 27, 2019 Jon Shalowitz, CEO—LiftIgniter

There isn’t a company leader out there today who doesn’t realize that their ability to harness and interpret data will make or break their business. When it comes to data analytics, the bar is constantly being raised. What was a theoretical concept just one year ago is now mainstream practice in major tech companies. Leveraging data to become more AI-driven is (or should be) on every CEO’s mind.

In fact, research suggests that by 2020, 30% of digital commerce revenue growth will be attributable to Artificial Intelligence (AI) and analytics.

As a content marketer, imagine if you were able to microsegment your readers in the moment and understand which content to best show them to drive subscriptions (or continued subscription). If that sounds appealing to you, read on.

First Party Data

Just look at the renewed importance of first-party data (data you own). In the past, third-party data, or data collected from aggregators, was considered the best way to market to customers. However, privacy concerns (it includes things like purchase and browsing history) have made it less viable.

First-party data, on the other hand, includes website traffic statistics, owned email marketing data, e-commerce data, and the content you publish and promote on your site. The best part is that it’s completely within your control. Also, it builds on itself over the years, which gives you deeper insights than you could have obtained through third-party data alone.

Today, content companies that leverage first-party data are better-positioned to make content recommendations and provide better customer experiences. But to give your customers, users, and readers what they want, you need to be able to process and react to data in less than one second.

And assembling, analyzing, and interpreting the data is no small feat.

From Data to Intelligence

According to 2018 data from Nielsen, Americans spend more than 11 hours consuming various forms of media. And adults between the ages of 18-34 spend as much as 43% of their time reading and viewing media on various digital platforms—a number that’s almost certainly higher today.

All of which is to say: There’s more first-party data up for grabs than ever before.

However, today’s users also expect that content to be relevant. That’s why the most effective content providers not only need to provide content that readers care about, but also content that’s highly tailored to their experiences in that moment.

And in the era of digital transformation, where AI-driven businesses are poised to take in close to $3 trillion, you need a data strategy that performs efficiently.

AI, combined with traditional analytics, can help your company comb through huge amounts of data in real time. And every day you put it off, the data set grows even larger and harder to manage.

Here’s how to harness the power of the data you already have and deliver the content your users want:

Data scientists are often too bogged down with grunt work to focus on what matters.

Today’s tech clutter (the average business today uses roughly 129 apps) creates data silos that make effective communication nearly impossible.

According to a Deloitte survey, 52% of respondents said they couldn’t make information-backed decisions because the data they needed is trapped in siloed departments. When data is isolated, it’s hard to wrangle and figure out how to analyze it. So data scientists find themselves spending 80% of their time on mundane work like figuring out which data to use, managing data movement on and off the Cloud, and understanding what attributes make the most sense to use in your models.

And after all that grunt work, there just isn’t time to do the high-value analysis.

So when you ask your data science team to tackle a portion of data, you may not understand there are many different moving parts that have to come together besides the analytics. And just because your data scientists have PhDs in mathematics or statistics doesn’t mean they have the expertise in data engineering and management to get it all done.

All CEOs need to make sure there’s a programmatic and structured way to enable data science to be ingrained in the data culture—not an afterthought. This means prioritizing building and updating the infrastructure so that there’s time for the most important analysis.

A strong data science platform makes room for truly valuable analysis.

A lot of the businesses we work with at my customer engagement company, LiftIgnigter, say it’s the operationalizing or the engineering part of data analysis that’s the most time-consuming.

It is easy to become overwhelmed by the challenge of turning data into an integral component of business operations—companies often don’t know where or how to begin.

To access the value of your business’s data, your data science team needs to develop not only a clear data strategy, but also find a programmatic way to make this second nature. Typically, this requires either building a platform or leveraging a third-party platform. A third-party platform helps data science teams aggregate the data, ultimately making data analysis a much more democratic process.

But it’s equally critical that the platform is built and fine-tuned for your company’s specific needs. A generic platform may give you lots of different options to run model testing, but at the end of the day, you need to focus your effort on modeling that is the most likely to yield meaningful insights.

However, with the right platform, which typically combines data science and machine learning, a team of five people can be effective as a team of 50. Imagine how much more efficient your team would be if they could focus their time on higher-level analysis.

AI augments the work your data science team can do, in real time.

With AI becoming increasingly ubiquitous, people are worried it will take their jobs. But AI isn’t replacing the data scientist. It’s actually making them that much more effective.

Here’s why: Training user targeting models is one thing. But then your team has to figure out a way to operationalize the continuous updating of the data.

For example, a large publisher company with 40 data scientists can still take several days to do all of the analytics that their editorial or product teams are demanding in real-time. They can hire 1,000 people—but that’s not cost-effective. The data science team is often called on to find compelling nuggets in your data in real-time. They’re constantly bombarded by your revenue team and marketing teams to come up with the perfect segment that will help drive greater revenue.

Large media companies like Facebook have a keen advantage because they have armies of data scientists to dig through their mounting data and figure out what’s relevant. And this is where AI comes in.

In order to compete, your business needs to make that process as standardized, real-time, and with zero wasted effort.

Third-party platforms enable businesses to create, tune, and refresh high performing models efficiently. Whether it’s generating demographic data for audience creation, or live streaming user behavioral signals to train a targeting system, a third-party platform can do a lot of the heavy lifting for you.

If you can create a unified strategy across your organization, optimize the data you have, and work only with trustworthy third-party partners—you’ll be prepared to navigate this new landscape.

Perspectives

Putting users and publishers at the center of the online value exchange

February 26, 2019 Denelle Dixon, Chief Operating Officer—Mozilla

Publishers are getting a raw deal in the current online advertising ecosystem. The technology they depend on to display advertisements also ensures they lose the ability to control who gets their users’ data and who gets to monetize that data. With third-party cookies, users can be tracked from high-value publishers to sites they have never chosen to trust, where they are targeted based on their behavior from those publisher sites. This strips value from publishers and fuels rampant ad fraud.

In August, Mozilla announced a new anti-tracking strategy intended to get to the root of this problem. That strategy includes new restrictions on third-party cookies that will make it harder to track users across websites and that we plan to turn on by default for all users in a future release of Firefox. Our motive for this is simple: online tracking is unacceptable for our users and puts their privacy at risk. We know that a large portion of desktop users have installed ad blockers, showing that people are demanding more online control. But our approach also offers an opportunity to rebalance the ecosystem in a way that is in the long-term interest of publishers.

Publisher Pros and Cons

There needs to be a profitable revenue ecosystem on the web in order to create, foster and support innovation. Our third-party cookie restrictions will allow loading of advertising and other types of content (such as videos and sponsored articles), but will prevent the cookie-based tracking that users cannot meaningfully control. This strikes a better balance for publishers than ad blocking – user data is protected and publishers are still able to monetize page visits through advertisements and other content.

Our new approach will deliver both upsides and downsides for publishers, and we want to be clear about both. On the upside, by removing more sophisticated, profile-based targeting, we are also removing the technology that allows other parties to siphon off data from publishers. Ad fraud that depends on 3rd party cookies to track users from high-value publishers to low-value fraudster sites will no longer work. On the downside, our approach will make it harder to do targeted advertising that depends on cross-site browsing profiles, possibly resulting in an impact on the bottom line of companies that depend on behavioral advertising. Targeting that depends on the context (i.e. what the user is reading) and location will continue to be effective.

Curing Advertising Dysfunction

In short, behavioral targeting will become more difficult, but publishers should be able to recoup a larger portion of the value overall in the online advertising ecosystem. This means the long-term revenue impact will be on those third-parties in the advertising ecosystem that are extracting value from publishers, rather than bringing value to those publishers.

We know that our users are only one part of the equation here; we need to go after the real cause of our online advertising dysfunction by helping publishers earn more than they do from the status quo. That is why we need help from publishers to test the cookie restrictions feature and give us feedback about what they are seeing and what the potential impact will be. The technical documentation for these cookie restrictions can be found here. To test this feature in Firefox 65, visit “about:preferences#privacy” using the address bar. Under “Content Blocking” click “Custom”, click the checkbox next to “Cookies”, and ensure the dropdown menu is set to “Third-party trackers”.

We look forward to working with publishers to build a more sustainable model that puts them and our users first.

Perspectives

How consumer privacy regulation creates opportunities for publishers

February 8, 2019 Mike Pugh, Senior Manager, Client Solutions—IPONWEB

One of the main drivers behind programmatic’s meteoric growth (at least on the demand side) has been the ability to leverage data to find and buy specific users, out of seemingly infinite opportunities, wherever they might be online.

After all, this enabling of “audience-based buying” brought marketers closer to their long-held notion of advertising utopia: reaching the right person, with the right message, at the right time, in the right context.

Data Dilemma

It also, theoretically, went a long way to minimizing wasted ad spend and enabled significant performance gains. The ad dollars flowed. But this shift took its toll on the sell-side.

To secure programmatic budgets (which were growing steadily and taking dollars away from their direct IO business), publishers had to relinquish control over their hard-won audiences by allowing cookie access to DSP partners in real time via cookie syncing. In doing so, they allowed the buy-side to build up and store those valuable audiences in their own platforms, reducing the need to work with publishers directly to gain access to or insights about their users.

Regulation Matters

The rapid proliferation of user-based targeting has understandably been followed by recent increased focus on consumer privacy. The GDPR went into effect across EU member states in May of last year, limiting unfettered access to user information and the ability to share that information with multiple parties across the ecosystem.

With passage of the California Consumer Privacy Act (which really means all of the US, given California’s outsized influence) and the likely imminent passage of the ePrivacy Regulation in the EU in the second half of 2019, the push for greater consumer privacy legislation seems unstoppable. France’s recent lawsuit against Google also indicates that common industry solutions and frameworks for satisfying new consumer data collection, usage, and privacy regulations aren’t always holding up to legal scrutiny, making the prospect of sharing data widely across partners and vendors increasingly difficult in the future.

While the enactment of these measures on such a global scale erodes the value (and calls into question the long-term viability) of cookie-based buying, it may also open a door for publishers to regain over their data and audiences and re-assert their position in the advertising value chain.

Data Diligence

Here are three tips for publishers looking to capitalize on the moment:

Limit access to your pages

A quick Ghostery check across a number of premium sites shows just how easy it is for 3rd-parties to build pools of data on a given publisher’s audiences. Publishers should be constantly evaluating who has access to their users, and what they’re doing with the data they’re collecting. Partners who add value, either by enhancing audience segments with additional data, or providing analytics and attribution services, should be prioritized. Others, who may be packaging up and reselling data, should be de-prioritized or even culled. An added benefit to this pruning process: faster page loading for users.

Use your data to enhance deals with buyers

Creating greater audience scarcity (enabled through the culling process mentioned above) opens a door for publishers to work more closely with advertisers looking to gain access to their users (and maximize the yield they see from those users). Striking guaranteed and non-guaranteed deals directly with advertisers based on 1st-party audience segments gives publishers the ability to more closely link the cost of media to the value of audiences, and thereby extract greater revenue from their inventory, while also benefiting parties up and down the supply chain. Advertisers enjoy the confidence of targeting audiences using the most recent and accurate data pools. And DSPs and SSPs executing the deals incur less waste (and listening costs), because the inventory is pre-filtered to match only the audience the buyer wants.

Let advertisers bring their own data

More than just building and monetizing their own audiences, publishers should start allowing advertisers to bring their first-party data to the table. One of the main benefits to this strategy is that buyers are able to trust the veracity of the audiences they’re buying. From a publisher’s perspective, it opens up new options for inventory segmentation that may not have existed within their proprietary audience pools. Overlaying additional data will always limit scale, by matching cookies at the source of origin rather than through DSP and SSP intermediaries. And publishers and advertisers can at least maximize match rates, minimize data loss, and decrease the risk of inefficient decisioning down the line – thereby offsetting scale issues to the greatest extent possible (while also commanding very premium CPMs).

Audience First

Consumer privacy legislation is pushing us to the point where the party closest to the consumer – typically the publisher – will increasingly enjoy exclusive access to those audiences as well. When we add the unique ability to know who that user is and what their interests are, the value soars. Couple this with the decline in quality and scale in the open exchange and what you have is publisher data that hasn’t been this valuable since programmatic began to take off.

Following these three steps will help publishers maximize that value. It will also deliver greater efficiencies and performance to advertising partners as well as privacy consideration to valued users.

About the Author

Mike Pugh is a Senior Solution Consultant at IPONWEB where he acts as the intermediary between clients and IPONWEB’s design, delivery, and engineering teams to create custom ad tech projects. He is responsible for bringing client-specific solutions to market and ensuring a successful execution of the solution, strategy, and opportunity. Mike is currently the team lead on the TrustX SSP as well as other strategic business accounts. Prior to joining IPONWEB, he led a team of 14 programmatic traders at Accuen, Omnicom’s trading desk. Mike has experience managing programmatic buying campaigns across the Autos, Retail, CPG, Financial, and Pharma verticals on most major DSPs. Mike graduated from the University of Iowa with a Bachelor’s Degree in Economics and DePaul University with a Master’s Degree in Economics & Policy Analysis.

Perspectives

Would you outsource data strategy and execution?

February 5, 2019 Michel Benjamin, Director of Marketing—Lotame

It’s fair to say that the advertising industry has embraced audience data. The Interactive Advertising Bureau (IAB) and its Data Center of Excellence released a study in December 2018 showing that companies have spent nearly $19.2 billion on the acquisition of audience data and on solutions to manage, process, and analyze this data in 2018. That’s a 17.5% increase from the prior year.

Whether it is first, second, or third-party, using audience data to enhance campaigns is more impactful than un-targeted campaigns. While third-party data exchanges have been widely available for over a decade, second-party data marketplaces have sprung up, as the need for increased data quality and questions of sourcing and transparency have also proliferated.

What’s the problem?

Data isn’t just useful for advertising. It is a necessity across every industry. However, for many companies, figuring out how to act on this data is the hard part. There are many reasons why companies fail to use data to drive their marketing campaigns, including:

Lack of enterprise-level strategy (What are we using this for again?)
Strong corporate strategy, but lack of internal talent to execute (How can we get this thing to do what we want?)
Competing needs for limited resources (My whole team is swamped!)
Turnover of employees who manage the software (Our power user quit, now what?)
No collective ownership (It’s not my job!)

The upside of outsourcing

A study conducted in late 2018 found that 78% of the senior digital media decision-makers polled would choose to outsource their data strategy and execution. Data strategy development, management and execution require investments in talent and technology. And many organizations simply don’t have the in-house capabilities or infrastructure.

When asked what specifically they would want help with if outsourcing their data strategy, the answers varied:

30% have some sort of strategy in place, but need help executing the tactics
22% has a basic understanding, but needs help optimizing their campaigns
14% need help from start to finish in developing the actual data strategy and tactics
11% is short on resources and needs additional support to run reports and build audiences

Clearly, there is a lack of internal resources and/or knowledge among many of these participants. Education and knowledge are required to maximize the value of data, from the beginning during data collection through building and executing upon a strategy.

Using data correctly can help drive traffic and grow audiences, which then has a cascading effect on campaign success and the value provided to advertisers. But if you don’t have the internal resources available, or the talent to execute, or even an enterprise-level strategy: What are you to do?

Gain control by giving up

If a company believes that a strong data can be a true source of insights and revenue, then they will take the necessary steps to achieve their goals. Really, outsourcing data strategy shouldn’t be any different from outsourcing marketing strategy or overall sales strategy. Consulting firms have been around for many years, but data consulting firms are not quite as commonplace as others. 2019 is predicted to bring many changes to the publishing industry. And I believe the proliferation of data consulting and outsourcing of data strategy is just one piece of this puzzle.

The publishing industry is facing enough challenges. If it’s time to sink or swim, what would you be willing to give up in order to survive?

Perspectives

Striking the right balance: personalized and contextual advertising

January 7, 2019 Eric Shih, Chief Supply Officer - Teads

As online advertising has shifted predominantly to programmatic channels, personalized advertising has also exploded as marketers are able to leverage data at scale to reach their consumers. However, user privacy has increasingly become a global focal point for both consumers and the advertising industry as a whole. Both publishers and advertisers now need to adapt their methods in reaching consumers beyond just personalized, audience or behavioral targeting.

Personalization Matters

Leveraging data to make more informed ad targeting decisions is a breakthrough versus previous methods where ads were un-targeted. Personalized ads are a win for all parties. It is better for:

Users (connects them to more interesting and relevant ads)
Advertisers (results in higher return on investment)
Publishers (delivers higher CPMs and increased revenue)

Unfortunately, not all targeting is created equal. Certain industry practices have resulted in unpleasant user experiences. Needless to say, these should be avoided (i.e. excessive/ sticky re-targeting where ads follow users around the web).

Users should have the right to avoid cookies and personalized ads via an opt-out option in ads, or via their web browser settings. In Europe, GDPR legislation that went into effect in May 2018, now gives consumers in the EU even more control over their personal data – publishers in the region (as well as global publishers with European consumers) now need user permission for cookies for advertising purposes. It is striking to see that according to our measurement (GDPR barometer) which tracks the implementation of the new legislation in European countries, an average of only 5% of users opt-out from cookies. Therefore, 95% of consumers when asked are willing to consent to data-driven marketing! Contrary to negative press, users are generally not as annoyed by personalized ads as one would believe.

This article will dive into the realities facing publishers and brands today, and how to think differently about creating a more holistic solution when targeting users that is safe, compliant, and thoughtful about user experience.

The Shift Toward User Privacy

A number of pitfalls have emerged around user privacy that could potentially challenge personalized advertising tactics in various content consumption environments.

Government Regulations

GDPR , The California Consumer Privacy Act, Canada’s PIPEDA have all changed the way we think about user data and consent. Teads’ barometer of CMP (Consent Management Platform) adoption reveals that approximately 50% of European publishers’ traffic is filtered by a CMP. This means that almost half of traffic today would not be compliant for personalized advertising in Europe.
Ad targeting leveraging user data will become increasingly difficult in the foreseeable future given the expansion of government regulation. And if you’re not a large walled garden (i.e., Google, Facebook, Amazon), you will become more disadvantaged due to a lack of first-party data at scale.

Social Media & Politics

As hundreds of millions of consumers leverage social media and share substantial amounts of personal information online, the risks of data misuse and even potential hacking of that data continue to increase. This risk was best exemplified through a series of scandals impacting Facebook ranging from Cambridge Analytica’s harvesting of user data, to Russian meddling in the 2016 presidential election through targeted propaganda on the platform, to the most recent findings that Facebook shared user data with over 150 companies.The industry is now seeing huge consumer backlash against social media platforms as well as questions from marketers alike, which could ultimately add more fuel to the user privacy fire (while also providing a window of opportunity for publishers to provide a better marketing environment).

Technology Barriers

Beyond government regulation and industry self-regulation efforts in user privacy, technology companies are also implementing measures to prevent ad tracking and hence personalized ad targeting online.

Apple has been leading the charge for consumer privacy and most recently introduced Intelligent Tracking Prevention 2.0 (ITP) on Safari for iOS 12 in September 2018
Safari now blocks first- and third-party cookies and cookie trackers are now completely, which represents 50% of mobile web browser share, rendering the majority of mobile web inventory useless for user tracking and ad retargeting.
Mozilla followed suit by enabling Enhanced Tracking Protection in its latest Firefox web browser.

Brand Safety

Automation and data targeting at scale also have another downside for marketers beyond violating consumer privacy concerns: brand safety.

YouTube, which has heavily relied on its wealth of data and scale, has had a lengthy, recurring history of brand safety violations. Ads have run in objectionable environments ranging from pedophilia videos to extremist and hateful content.
Hundreds of brands have pulled their ads from YouTube in the past two years.
Contextual targeting tools not only provide a solution to avoid these brand safety snafus, but also ensure marketers reach the right audience that they’re paying for.

The Need for Context

Given these increasing challenges, contextual advertising, in addition to personalization, should be considered in a holistic advertising strategy. It serves as an effective, complementary solution in providing the right message to the right user. Contextual advertising also provides an advantage to premium publishers, particularly those lacking their own first-party data or enough scale to leverage data targeting.

Programmatic ad delivery is now the norm, and marketers have become increasingly reliant on user data to target their audiences. This over-reliance on data now creates substantial risk in the form of potential legal and monetary punishments, loss of consumer trust, limited scale as platforms adapt and negative perceptions towards brands appearing in questionable environments.

Contextual advertising – the targeting of ads based on the context of the content that a consumer is reading, watching or listening to – is not a new concept, but it is now an increasingly relevant and important tool in marketer’s toolkit as data becomes more challenged. Publishers can leverage context to extract the most value out of the content that they create to better compete against the walled gardens (which often only provide low quality scale). Marketers can still reach the most relevant (and likely more interested) audiences by placing ads in relevant environments. Users can still receive relevant messaging even when they’ve opted out of cookie-based targeting.

Whether it’s semantic, visual or audio analysis, the tools are available for contextual targeting in almost all content outlets.

A Holistic Targeting Solution

It is crucial to think about how to create relevant ad experiences for users leveraging both personalization and context. Publishers should think about a holistic strategy including targeting via dynamic creative optimization using their first- or third-party data, leveraging interest graphs to understand what content users are consuming, and analyzing content and identifying keywords on their pages to build the right context.

In order to adapt and succeed in a quickly evolving landscape for data and user privacy, we believe publishers and marketers need to exploit both identity and interest to maximize their potential reach and deliver the most optimal messaging.

Perspectives

The cookie conundrum: Complexity for publishers in the age of ecommerce and cybercrime rings

December 3, 2018 Chris Olson, CEO & Co-Founder—The Media Trust

Media publishers in 2018 are at a historical juncture as they face new pressures from many directions. These pressures included competing content providers who provide a wider array of products to draw site users; readers with changing habits, expectations, and preferences; and a growing number of data privacy regulations that are forcing businesses, in general, to change how they operate.

Publishers in the increasingly diversified digital media landscape have had to revise their business models along with the introduction of paywalls, multi-tiered subscription packages, and merchandise. Not only are they content providers but full-blown ecommerce businesses, a change that comes with its own set of challenges.

Cookies and commerce

That fact is that, if a website accepts any form of payment, it is running an ecommerce platform. Actually, media companies are unique in that they can have three disparate revenue channels all tied to their digital environment: advertising/sponsorships, subscriptions and merchandise. More likely than not, these three channels are managed by various internal groups with different objectives. The absence of a single throat to choke for the digital environment at a time when the latter is under mounting cyberattacks and a growing number of data privacy regulations raise these companies’ exposure to a host of digital risks.

The most significant challenge is managing all the third parties and digital partners who help make the ecommerce websites’ user experience a success. That experience involves providing content to users based on their subscription level and enabling payment for subscriptions and—for a growing number of publishers—merchandise.

The problem is, most of these third parties, and the cookies they use to identify visitors/users, are unknown to publishers. On average, the cookies they drop into an ecommerce site can account for anywhere between 50-95% of all cookies on that site. Left unmonitored and unchecked by publishers’ digital policies, those largely unknown cookies can degrade the user experience by driving up latency, collecting information from unsuspecting users, or both.

Regulation ups the stakes

While latency might not break any laws, collecting information without users’ informed, specific consent violates a rising number of data privacy regulations. We have seen the impact of changes to the legislative landscape on publishers. Privacy laws such as the EU’s GDPR and the state of California’s Consumer Privacy Act have created an increasingly dangerous environment for data processors who fail to adhere to them.

In May of this year, after GDPR came into effect, large US based publishers such as The Chicago Tribune became unavailable to EU readers, due to the mismatch in privacy laws in the European Union, and the code operating on these sites. At the time of writing, the Tribune remains offline in the EU, highlighting how seriously even the largest publishers are taking the legislative changes we have witnessed this year. The proposal of a U.S. federal Consumer Data Privacy Act, which would jail CEOs for misleading regulators makes compliance even more urgent, especially for large companies.

The mood of publishers’ audiences is also changing. As the Cambridge Analytica scandal has proven, users of all types of platforms are increasingly aware and suspicious of how their own data is collected and used. The last year’s mega breaches such as Equifax have only escalated consumer wariness of the security and use of the data they willingly provide to publishers.

Bad actors

To further muddy the waters, we have seen the exponential growth of malicious campaigns targeting publishers. Increasingly sophisticated cybercrime groups such as Magecart, widely believed to be responsible for the British Airways breach, and, more recently, 3ve, are exploiting vulnerabilities around payment pages, capitalizing on digital advertising’s obscure processes, and targeting users of digital wallets.

As if all of this wasn’t enough, publishers also have to contend with upstream partners who process or use the data harvested on their platform whose consent management process, or lack thereof, could put publishers at risk of infringing data privacy laws.

Digital cookies are routinely dropped on with 65% of cookies collecting personal data, and 28% of cookies lasting longer than a year. While they allow publishers to provide a better experience for readership, it can also mean that they are in direct conflict with the latest data privacy laws.

Getting cookies right

Publishers can take proactive measures to stay compliant by ensuring that executives in charge of the various ecommerce revenue streams align their goals, objectives and policies in order to safeguard and enhance the user experience. Understanding the landscape of your digital ecosystem is essential. Make sure that you are monitoring your website for the code being run, and proactively question why it is running. Furthermore, the third parties running code, and the companies in their own supply chain who process data need to understand the players and activities in their own digital landscapes.

However, taking these steps are just the start. Publishers must also prove such measures are being taken. Therefore, publishers, their third-party partners and any other relevant parties should undertake rigorous audit trails to retain proof of regulatory compliance. This allows you to make the case for your overall legislative posture, if it is called into question.

In addition to this, there are industry organizations which aim to create a set of standardized compliance-related practices in order to create a more transparent culture around cookies. The International Advertising Bureau have attempted to deliver and enforce a framework via their CMP Validator. The AOP (Association for Online Publishing) UK has engaged in similar activities with their Cookie Consortium. Involvement of as many publishers and technology vendors as possible in these industry initiatives is crucial to the continued success of publishers and other players along the digital supply chain.

Why it matters

It’s important to establish that the running of cookies on web pages is a fundamental part of how the internet functions in 2018. It makes life significantly easier for both publishers hoping to keep users happy, even working to turn this hope into an actionable reality. It also benefits users hoping to access content, and marketers hoping to build a strategy.

However, they can only provide these useful functions if the organizations that use them do so with the appropriate regard for any regulations that govern them, as well as for the users whose data is stored in them. In fact, publishers stand to gain the most from the changing regulatory environment, which provides an opportunity to collaborate more closely with third parties and digital partners, and ultimately build customer trust by improving their user experience.

About the Author

Chris Olson co-founded The Media Trust with a goal to transform the internet experience by creating better digital ecosystems to govern assets, connect partners and enable Digital Risk Management. Chris has more than 15 years of experience leading high tech and ad technology start-ups and managing international software development, product and sales teams. Prior to The Media Trust, Chris created an Internet-based transaction system to research, buy and sell media for TV, radio, cable, and online channels. He started his career managing equity and fixed income electronic trading desks for Salomon Brothers, Citibank and Commerzbank AG.

Uncategorized

Policing third-party code is essential to digital vendor risk management

August 17, 2018 Chris Olson, CEO & Co-Founder—The Media Trust

Some of the biggest companies including Saks Fifth Avenue, Lord and Taylor, Best Buy, MyFitness Pal, and Applebees have been the victims of breaches due to third party code. Third parties provide services around content recommendation engines, ads, customer identification platforms, data management platforms, social media widgets, and video players, to name a few.

Oftentimes, these third parties turn to their own third parties to help deliver their services. When unknown third (or nth) parties become part of a website’s support structure, they can introduce more risks than they were brought in to reduce, because they lie outside of a formal IT organization’s control. Gartner predicts these “shadow IT” will be the root cause of 33% of security problems by 2020.

Throwing light on digital shadow IT

Last year, one of the world’s largest magazine publishers was shocked to find their sites were supported by over 1,000 third parties. This year, they were able to winnow down that number to 100 of the most trusted. In July 2018, random sample of 350 of The Media Trust’s publisher clients showed that each of their domains was supported by an average of 140 third parties, which provided anywhere from 50-95% of each site’s code. For the magazine publisher and those in the random sample, most of these third parties (much less their activities) were unknown to them.

Recently, The Media Trust digital security and operations team found and foiled a malware campaign that affected close to 60 major publishers whose audiences span the globe. These publishers’ trusted digital advertising partners had unknowingly served an ad with malicious code that would replace the legitimate creatives of a globally recognized brand. The code would redirect visitors to a Facebook popup informing victims that they had won a prize and encourage them to enter personally identifying information.

What sets apart this campaign from other redirects is its scale and its targets: some of the world’s most popular online publications that deal only with reputable digital partners. While the campaign was effectively halted, it spotlights the growing challenges of managing the risks third parties and their own vendors can introduce to today’s ever-more dynamic, complex digital ecosystems.

Third-party code putting companies at risk

Third parties can pose risks in several ways. First, they tend to have weaker security measures. This makes them ideal attack vectors for bad actors. The headline-grabbing breaches of Target, Equifax, Ticketmaster, and, more recently, Adidas, prove how popular third parties are to exploit because of their vulnerabilities. In this scenario, when taking on a large organization, hackers will first target a third party and use it as a gateway to enter the larger network.

Second, third party code operate outside the website operator’s cybersecurity infrastructure. Their activities, authorized or otherwise, can neither be monitored nor remediated by the publisher’s marketing and IT departments. As a result, user experience can deteriorate and erode a publisher’s topline and reputation.

However, another, more serious consequence is the unsanctioned collection of user data, which in the EU will expose the publisher to the risk of infringing the GDPR and, soon, the ePR, whose scope is expected to be broader and penalties equally stiff. In fact, the ePR could potentially override the GDPR. Non-compliance is therefore a risk, and will figure prominently in other sought-after markets like Canada, which will enforce PIPEDA later this year, and California, which recently passed the California Consumer Privacy Act.

Reining in risk

Unless they have the tools to actively monitor third party-code, website owners will likely remain unaware of the broad range of code that execute on their sites and of how unexpectedly and frequently new, unknown code appear. The ability to identify, document and authorize these ever-changing vendors is critical to properly mitigate risk. Not only do most enterprises not know the full scale of vendors executing code, but they would be surprised at the amount of consumer data collection activity, i.e., cookie drops, pixel fires, device fingerprint, etc.

Continuous monitoring from your customers’ points of view helps IT teams pinpoint how these vendors and their actions—specifically the domains executed and cookies dropped—change according to user geography, browser, or device. Collecting this type of vendor intelligence provides clear insight into third party behavior to protect customers and brand reputation from cyber threats.

Working with third parties toward strong security posture

Third-party application security is essential for today’s IT security compliance, especially now that regulations are proliferating. Even if the security risk resulted from a third-party compromise, the legal responsibility falls on the primary organization. Therefore, it is crucial that organizations take sufficient steps to manage third-party risk and ensure a safer online environment for themselves and their users.

To do that businesses need to ensure that both their systems and those that look beyond their perimeter to third and nth party codes are secure. First, they should carefully vet all third parties by conducting a risk assessment before bringing any third parties on board. Second, they should maintain a continuously updated inventory of their direct and indirect third parties. Third, they should spell out security policies and standards and use contract clauses and SLAs to enforce them. Fourth, they should follow through by conducting periodic audits of third party security measures. Finally, they should conduct continuous, real-time scanning of their websites to identify any unauthorized code and activities and then compare their findings with what is executing on their visitors’ browsers outside their firewall.

These steps will help to mitigate risk and lock out bad actors from digital ecosystems. Taking a proactive approach to cleaning up and protecting websites will improve the company’s security posture, ensure customers’ safety and protect organizations from the high, upcoming fines of the GDPR and other regulations that follow it.

About the Author:

Advertising | Perspectives

The shift towards context-based advertising

June 18, 2018 Sachin Kamdar, Co-Founder and CEO—Parse.ly

The 2016 election, Cambridge Analytica scandal, and GDPR represent a tidal shift in how the ad tech and digital media industry will monetize their audience moving forward. And it’s overdue. Demographic data doesn’t define a person’s identity. People define themselves by what matters to them, by their interests, hobbies, and values, and they show this in what they read about online.

As we talk about technology in the publishing industry, we should consider what kind of tech will move us towards monetization through context-based advertising. This protects data privacy, and has the potential to finally gain an advantage over the platforms where many digital advertising dollars have shifted.

Consumer mistrust of platforms

When consumers found out that Russia played a role in the 2016 election via bots on Twitter, propaganda on Facebook, and even local events in the U.S., we were forced rethink the role social media played in our community. Were they purely a platform? If so, to what degree did they need to police the content and users? Further, if they had so much knowledge about their users, why couldn’t they prevent a malicious influence like Russia from infiltrating their platform?

The Cambridge Analytica scandal certainly didn’t help this cause, and weekly stories break about Facebook continuing to acknowledge privacy and data issues. This has planted the seed of doubt about whether these platforms and the underlying data could be trusted—not just by the general public, but by the marketers who provide the revenue stream for Facebook.

New privacy-conscious controls for consumers

GDPR was borne out of a general concern that consumers had a lack of control and transparency around their digital data—data that bore the monetary fruits of now enormous companies like Facebook, Google, and Twitter. That data also created the massive ad tech industry that developed complex methods to personalize and optimize ad targeting to the point where most experts in the industry still don’t quite know how the ecosystem works.

GDPR, in some ways, marks a boon for platforms and the end of an era for the ad tech industry. Any platform that collects its own massive amount of first party data (like Facebook, Google, Twitter), can relatively easily get the consent of the population. Ad tech, though, faces the burden of getting consent through 3rd parties, where the value of giving consent was not only unclear but potentially non-existent. The type of re-targeting and personalization that was prevalent before will start to change under GDPR as publisher-direct relationships with consumers become increasingly important.

Context-based advertising

So where does this all lead, in terms of current industry trends? There’s no lack of interest in moving from a programmatic model to more of a subscription-based model. But most of the innovation and investment in digital tech has been focused on ad-tech, data collection. We need to simply “do better” from an advertiser and consumer perspective given these trends.

From the advertiser side, the credibility of their 3rd party data is eroding with GDPR. There are some publishers that are large enough (or are building collectives) to create their own first party pools of data. However, none of them can reach the scale or targeting capabilities of companies like Facebook and Google. Marketers know this, and if they want the best targeting they’ll still go to the duopoly.

That said, because consumer privacy is becoming top of mind for more and more people, marketers are also worried about the experience around ad campaigns they run. They want to create an experience that doesn’t creep people out (for lack of a better term). Interest- or context-based advertising, as a result is coming back into favor for the privacy-conscious brands and marketers.

Targeting ads based on consumers’ interests or the context of what they’re reading instead of their personal data benefits everyone involved. Consumers maintain their privacy and build trust publishers. Publishers can then pass on this trust to brands who want their consumers to know that they care about their privacy. And, publishers who are armed with the right contextual data can still provide an advertising experience that’s targeted, but doesn’t violate consumers’ concerns.

Not only does data around interests protect anonymity, but it speaks to the core of who people are. Marketers who try to understand what matters to their audience through attention data—the topics and stories they pay attention to online—will have a leg-up on connecting that audience with content and products that they want.

Perspectives

How consent fragmentation could alienate users and undermine the GDPR

May 23, 2018 Roy Smith, Founder and CEO—PrivacyCheq

After a two-year grace period to allow time for preparation, GDPR finally goes into effect this week. For most enterprises, mapping and remediation of private data storage has been the focus. But now it is time to focus on sustainable operational compliance starting on May 26^th and continuing for years into the future.

If you monetize with programmatic ads, we’ll assume that your legal team has made the (very typical) decision that “consent” is the best legal basis for processing data under GDPR. Regardless of which basis you choose, data subjects must be given a clear and understandable explanation of what data you will use, how you’ll protect it, who you will share it with, and how long you’ll keep it. When the user gives his (now “informed”) consent, a transparent, trusting, ongoing relationship is formed – exactly what the authors of the GDPR intended.

Because it can be revoked at any time, and processing must stop when it is, consent must now be easily checkable by both internal company activities, and also by third parties (called “Data Processors” in GDPR lingo) that utilize the data (for example, ad networks). Clearly, “consent” has become a very important new corporate asset.

The Programmatic Problem

The AdTech industry has realized that under GDPR, lack of consent could quickly lead to the end of programmatic ads. Last November, the IAB trade group proposed the Transparency Consent Framework (TCF), an open source consent solution that it believes will allow the ads to keep flowing. Many observers, (including DCN) have criticized it for technical and functional shortcomings.

The purpose of this post is not to dissect the flaws of the IAB TCF. My goal is to make clear that even if it worked properly, the IAB’s solution could never be considered a complete consent solution for a publisher. Its only purpose is allowing programmatic ads to continue to flow.

As this point, you may think “So, what? It will keep my ads running. Why not use a free solution to manage the programmatic ad part of the GDPR consent puzzle?” I submit that consent needs to be handled centrally as a key corporate asset, just like accounting, HR, strategic, and other corporate data.

Consent Deconstructed

Here is a real-world example illustrating what will happen when consent is not handled centrally. A mid-sized publisher runs ads (of course) but also offers newsletters, email-based promotions with sign-ups, and an affinity / personalization program with a persistent login.

If the publisher chooses the IAB TCF solution to run ads, they still have no solution for storing or managing user consent to their internal GDPR uses. (This could include email newsletters and affinity programs, but potentially many more. Today’s digital marketing creates a lot of data ingress points).

The publisher chooses a “GDPR compliant” third party email provider that gathers consent and stores it internally (not accessible to publisher). For their affinity system, the publisher creates a basic consent flag system on their internal servers. In theory, the publisher is now covered for GPDR consent.

A Poor Patchwork

In actual practice, this “patchwork” solution is very unpleasant for users. They will be interrupted and asked for their consent for ads the first time they come to the site post-GDPR. They will again be interrupted and asked for consent (by a different vendor and with a different UX) when they join the email list. Then, they will again be interrupted and asked for their consent with a different UX when they join the affinity program.

Because of the disjointed consent strategy (known as “Consent Fragmentation,” the user has been interrupted 3 times for consent, shown 3 different notices, and given their consent using 3 different user interfaces. At a certain point, users will become frustrated with the continual interruptive requests for consent, something the GDPR authors envisioned and referred to as “Consent Fatigue”

It gets worse. Under this patchwork, when a user decides to revoke or modify their consent, their path to success is extremely arduous (the opposite of GDPR’s “easy as giving consent” wording in Article 7).

Since the IAB TCF does not provide any user interactivity, the publisher must use an IAB approved Consent Management Platform (CMP) to provide users with required rights management capability. To modify their ad consent, users must use the CMP dashboard that the publisher has chosen.

To revoke email permissions, the user would have to visit the “unsubscribe” page of the email vendor. Finally, for the loyalty program, they would need to use a “revoke my consent” function from the publisher’s in-house consent manager.

Centralized Consent

Consent fragmentation is the result of using different “Band-Aid” systems to hold user consent, and there is no positive aspect to it. This situation came about because the publisher did not understand the true importance of consent. No publisher would ever hold separate general accounting ledgers in multiple unconnected silos. It would be a certain recipe for disaster.

This disconnected experience is bad enough for a single site. Now imagine how users will feel if most sites ask their consent three or four times. This is the nightmare scenario that risks the failure of GDPR because users will simply stop giving consent.

I think you can see where this is going. Post GDPR, user consent is a vital corporate data asset, a key gating item for all user interactions. As such, consent must be gathered wherever needed. However, it must stored in a central repository, where is easily accessible to all internal activities, and to a curated group of external partners (email services, analytics, ad partners and downstream ad partners.)

With a single consent repository, users are presented with the experience they expect: one single sign-on dashboard. It will provide them with an accurate and easy to understand notice of the uses of their private data, easy access to exercise their rights, the ability to selectively opt-in or out of each of the services used by the publisher, and a secure point of access for SAR and breach notification. The solution must be an easy to use, single sign-on privacy management is evidence of “Privacy by Design,” as envisioned by the authors of GDPR.

Roy Smith is founder and CEO of PrivacyCheq, a leading provider of SaaS privacy compliance services to enterprises and small business worldwide.

Perspectives

Before gloating over the latest Facebook scandal, publishers should get their data houses in order

April 5, 2018 Mark Glaser, Founder and Publisher – MediaShift

Facebook has been under fire ever since the revelation that it allowed the political consulting firm Cambridge Analytica to harvest user data and use that information as fodder for the Trump campaign. While outrage against the social media giant is warranted, we also ought to be concerned about the entire digital advertising ecosystem, where everyone — including publishers — is on the hunt for data.

Indeed, rather than just pointing at Facebook, feeling smug and a bit of schadenfreude, publishers and advertisers should take a deeper look at their own practices. And how about going even further: Take a leading role in ensuring user privacy. Think about what you can do to make sure data hunger doesn’t comprise user interest.

Walled Garden War

Anger toward Facebook isn’t anything new for media companies and publishers. If anything, the Cambridge Analytica scandal is just one point on a timeline documenting publishers’ tempestuous relationship with Facebook. At a recent Platforms + Publishers roundtable I produced at Facebook, there were plenty of angry small publishers who pointed to a loss of 50% or more of Facebook-referred traffic. Someone even mentioned that going to Facebook was like going back to an abusive partner. You think things are getting better and then, smack! you are hit with an algorithm change and a poisonous political data scandal.

As Axios’ Scott Rosenberg put it, the current fury against Facebook is personal for journalists because they, along with their institutions, blame Facebook (as well as other tech behemoths like Google) “for seducing their readers, impoverishing their employees, and killing off their jobs.” Given the stronghold Facebook and Google have over the digital advertising industry — which has also rendered publishers and advertisers dependent on the duopoly — any backlash that can knock down these tech companies, even a little, stands to make things better for their competitors and the ecosystem at large.

Data Hypocrisy

But there are a couple fallacies with that kind of thinking. First, Facebook has played a crucial role in helping news outlets reach their audiences where their audiences are. And it’s no secret that the micro-targeting of a news item to user — based on the data gathered — worked to help the publisher, even if publishers always felt they were on the losing end of the relationship. And Facebook has certainly made a much bigger effort at helping to drive memberships, donations and subscriptions to publishers; in fact, that was the overarching theme of the roundtable I produced at Facebook.

And secondly: While it’s easy to nurture a grudge against Facebook, it’s harder to understand the complex relationships between publishers and platforms – where there can be collaboration and animosity. National outlets may be more vocal about their criticism around Facebook’s ability to adequately compensate publishers. However, local publishers in particular see Facebook, Google and other major tech platforms as potential allies that can help elevate their standing, and help them compete with national outlets.

Not only that, but consider BuzzFeed’s Mark Di Stefano’s scoop that both The Economist and the Financial Times hired Cambridge Analytica to help them grow their subscriber base in the United States. It’s unclear whether the data benefited the two British companies, but clearly, that’s what they were looking for. As media and tech thinker Doc Searls accurately notes, news publishers are also guilty of using third-party tracking apps that return internet advertising to their users. But, as everyone is now realizing, there’s no guarantee what actually happens to that data. “What will happen when the [New York] Times, the New Yorker and other pubs own up to the simple fact that they are just as guilty as Facebook of leaking its readers’ data to other parties, for—in many if not most cases—God knows what purposes besides ‘interest-based’ advertising?” Searls wrote on his Harvard blog.

Taking the Lead

To be sure, the momentum against Facebook (and Google) has been piling up for some time, and the latest scandal is unlike any other that has reached Facebook. As the company reels in the aftermath of the Cambridge Analytica data leaks, it’s cut third-party data providers out of its ad targeting, added safeguards like an email certification tool for marketers, emphasized its support for local news publishers, and considered more heavily its approach to data collection. Mark Zuckerberg has been forced to discuss the crisis in an apology tour with various news outlets and journalists. It’s safe to say Facebook knows its product (and reputation) is on the line.

But the best reckoning publishers could have right now is not about Facebook, but themselves — and the steps they can take to make sure they have their own data houses in order. As the Association of National Advertisers put it in a statement, “In truth, the Cambridge Analytica controversy is greater than Facebook alone…It’s a brand reputation and data security risk for every ANA member that advertises and monetizes brands on online and mobile outlets.”

One huge step, already started by the Advertising Research Foundation (ARF), is to call for new industry guidelines and standards around data collection that also focuses on prioritizing user protection. The ARF has invited other industry bodies to contribute to the endeavor; now it’s up to the rest of the players in the digital advertising ecosystem, publishers and advertisers included, to do their share to ensure a safer internet. Data is the ultimate feast for everyone, but if the hunger for it leads to toxic consequences, it poisons the entire body.

Perspectives | Revenue

What if publishers could see the revenue value of their content in real-time?

March 28, 2017 Dennis Yuscavitch, VP of Product Marketing—Outbrain

More content is being produced and consumed than ever before. However, one of the biggest obstacles to success for publishers today is the inability to fully understand the value of their content. Yes, publishers are getting more and more data. But with so many different types of ads, targeting, and decision-engines running on a publisher’s site, the revenue generated from a piece of content has become impossible to retrieve beyond general averages.

In fact, as we have previously noted, most publishers merely settle for what’s available (averages) rather than what’s needed (real-time values). However, as we all know, a data-driven business cannot run on averages. That would be like trading stocks based on the average over the past week while someone else is trading based on precise real-time values.

Add to this the silos between the editorial and ad ops and you have an ad stack and content stack that don’t talk to one another.

The Opportunity

So, how can publishers harness bridge these gaps and work smarter? There are three significant opportunities for publishers in this challenging landscape. Those that tap into these will be empowered to do more than simply survive. They’ll have a competitive advantage.

1. Use Data to Fuel Audience Insights

Data should be the glue that connects publishers to their audience. It should enable them to serve more personalized content and enhanced user experiences, so they can better compete with social media platforms. Data should flow between publisher Data Management Platforms, network insights, and 3rd party data providers via APIs. This enables publishers to connect their content with their user and deliver customized experiences based on content type, device and location.

2. Connect Content and Revenue

Publishers need to connect content and revenue so that content can be personalized and optimized for yield. There is currently a lack of understanding about the true value of content. This doesn’t mean the total value of content. Instead, it means knowing the exact value of any article or video at a single point in time and the ability to take meaningful action based upon that insight. When content is a publisher’s currency, and each click is the trigger for revenue, a publisher must connect what they are selling (advertising) with the content that accompanies it

3. See a Holistic Picture of All Revenue

Lastly, publishers need to understand revenue from all sources in a single dashboard, not as individual boxes on the page. Once publishers have access to these insights, they can further optimize to the correct partner, referral source, or set of specific pieces of content to maximize additional revenue. Simply adding more paid links as a way to generate more revenue is sure-fire way to disappoint users, while being counter-intuitive to the principles of yield optimization.

The Power of the Complete Picture

Partners with expansive network insights as well as multiple paid relationships and networks can help publishers meet revenue goals. This model has played out over the last decade, beginning with display and evolving over time to include native, sponsorship, ecommerce and even off-platform distribution. However, the majority of publishers have not yet brought those revenue sources together into a single, manageable view to that they can take direct actions that are maximized for each piece of content.

Connecting content with revenue allows publishers to understand how much RPM value their Facebook referral traffic is delivering compared to all of their other sources. Yield teams can understand which partner delivers the most value. Audience development teams can launch campaigns based on feedback from ad operations about under-delivering sponsorship campaigns. Executives can see how revenue goals in real-time, all based on the connection between revenue and content.

Publishers must break down the walls that are typically built up between revenue and editorial teams. Real-time insights allow them to personalize the content experience, while also considering the value of each piece content. It is clear that publishers need to leverage the appropriate tools and strategies to achieve this level of insight and opportunity.

Dennis Yuscavitch has spent the last several years creating and launching new product, most recently with Outbrain as director of product marketing. When he’s not making publishers and advertisers happy he’s often coaching his local youth soccer team. The consummate early adopter, you can find him online @dennisy or via LinkedIn.