Data Love Story in the USA With a Few Spats, Too

You might call this time of year, Jan. 15 to March 15, marketing data’s “high season,” based on all of the goings-on. There’s a lot of data love out there — and, like all relationships that are precious, they demand a huge amount of attention, respect, and honor — and celebration.

I’ve been enjoying Alliant’s “Data and the Marketer: A Timeless Love Story” postings this month, leading up to Valentine’s Day.

You might call this time of year, Jan. 15 to March 15, marketing data’s “high season,” based on all of the goings-on:

The Alliant infographic download got me thinking of some other “key” dates that might also be recognized on the Data Love calendar, reflecting other aspects of the love story. Not all love affairs are perfect — are there any? Sometimes there’s a quarrel and spats happen, without any abandonment of a full-on love affair.

  • 1960 — The Direct Marketing Association (then, DMAA) develops its first self-regulatory ethics code for data and lists, in an early industry initiative to separate the good from bad players. It becomes the basis for practically every data protection (and consumer rights) framework since.
  • 1971 — The Mail Preference Service is launched (today DMAChoice) the first marketing industry opt-out control program for consumers — the essential framework for every consumer choice tool in marketing (in-house and industry-wide) since.
  • 1973 — The U.S. Department of Health, Education, and Welfare introduces and adopts eight Fair Information Principles. In 1980, the Organization of Economic Co-operation and Development adopts these principles for trans-border data flows. In 1995, The European Union, among other governments, enact variation and interpretation of these formally into law, eventually adopting the EU General Data Protection Regulation in 2018.
  • 1991 — Jennifer Barret is named Acxiom’s privacy leader — among the first enterprises to name what essentially would become a “chief privacy officer.” In 2000, Trevor Hughes launches the International Association of Privacy Professionals. A nascent cottage industry evolves into a huge professional education and development organization that today includes tens of thousands of members.
  • 1992 — A nonprofit and privacy advocacy organization, the Privacy Rights Clearinghouse, is formed, and soon thereafter begins tracking data security breaches, both public and private sector. Its breach list since 2005 is posted here. Data privacy and data security, as evidenced in Fair Information Practice Principles, go hand-in-hand.
  • 1994 — The first online display ad appears on the Internet, by AT&T. (And the first commercial email perhaps the same year.) So marked the humble beginnings of Internet marketing — “direct marketing on steroids.” I thought Jeff Bezos used this term in Amazon (formed 1994) early days during a DMA conference – but alas, I’m having a hard time sourcing that one. Perhaps this quote was related to Google (formed 1998) and the real-time relevance of search!
  • 1995-96 — Subscriber Ram Avrahami asserts a property right to his name in a lawsuit against S. News and World Report. Because he thwarted the spelling of his name on the magazine’s list – in a bid to discover who else the magazine rents its subscriber list to – the court ultimately rejects his challenge. The case, however, introduces a novel concept and set of questions:Is the value of any list or database tied to the presence of any one individual name on that list, a penny a name in this case?  Or, is its value because of the sweat of the brow of the list/database creator (a business, nonprofit group, or other entity) that built a common attribute to which a list may derive commercial value?The “walled gardens” of today’s Digital Giants largely were built on such data collection. These two questions recognize that a “data-for-value” exchange must be perceived as mutually beneficial, or else consumer trust is eroded. “Who owns the data?” (a 20th Century assertion) might be better substituted today as “Who has a shared interest in the value and protection of data?” (a 21st Century proposition).
  • 2006 — Facebook is formed, among the first companies that created a “social network.” (I’m sure the adult content sector preceded it, as it often points us the way.) In one industry after another, digital disruption reorders supply chains, consumer-brand relationships, shopping practices, and name-your-own-business here. The Great Recession, and venture capital, serves to speed the quest for data-defined efficiency and transformation.
  • 2017 — Equifax, one of the United States three leading credit and information bureaus on Americans, experiences a breach of epic proportions. While the nation was fascinated with subsequent public hearings about Facebook, its data deals, and its (ahem, beneficial) targeted advertising practices, a potentially much more egregious purveyor of harm – sponsored government hacking of the highest order – largely gets a ho-hum from the general public, at least until this past week.
  • 2020 — California fragments online privacy protection in the United States – only underscoring the need for the federal government to act sooner than later. Support Privacy for America.

So, yes, there’s a lot of Data Love out there — and, like all relationships that are precious, they demand a huge amount of attention, respect, and honor — and celebration. See you soon in Orlando!

 

 

Think of Food Nutrition Labels. Now, There’s Audience Data Labeling

This summer — this “nutritional” label for commercially available audience data, which vendors, agencies, advertisers and publishers can use to understand the sourcing of targeting data and how it is prepared for market — is ready for marketplace use.

Last fall, I reported briefly on an industry initiative related to “data labeling” a bid to provide transparency of data sourcing for audience data used in digital and mobile marketing. DataLabel.org is an initiative of the Interactive Advertising Bureau (IAB) and the IAB Tech Lab. (At the time of inception, the Data & Marketing Association now the Data Marketing Analytics division of the Association of National Advertisers was also at the table.)

This summer this “nutritional” label for commercially available audience data, which vendors, agencies, advertisers and publishers can use to understand the sourcing of targeting data and how it is prepared for market is ready for marketplace use.  (From a June 27 IAB Tech Lab press release🙂

“Data transparency is a table-stakes requirement to ensure responsible and effective use of audience data and companies that provide consistent access to detailed information about their data will attract more business,” said Dennis Buchheim, EVP and general manager at IAB Tech Lab. “Taking part in the corresponding compliance program will further differentiate an organization, affirming their full commitment to the highest standards.”

Transparency in Data Sourcing Matters

I remember hearing IAB CEO Randall Rothenberg admonishing the ad tech ecosystem in early 2017 to get out of the “fake anything” business, and arguably the effects of fraud, brand safety, and other concerns have led many advertising and marketing professionals to scour their data sourcing, permissions, stacking, integrating, and statistical analyzing to make sure that an otherwise reputable company is not engaged with anything untoward on the data front.

DataLabel.org supports this objective, in part, and goes further.  While it does not assign a quality score to any particular data source, it does enable apples-to-apples comparisons in important areas, (Opens as a PDF) which inform where media dollars based on audience data are committed:

Data Labeling label
Source: DataLabel.org

Yes, it’s an agnostic nutritional data label for data sourcing. Through IAB et al, dozens of companies were part of a working group that led to the Data Transparency Standard, Version 1.0 (a PDF download] led by Meredith Digital, Lotame Solutions and Pandora, among its supporting cast.

Does ‘Table-Stakes’ Mean Traction? You Look Good Dressed, in Responsible Data

According to the IAB, “completion of the program requires an annual business audit to confirm that the information provided within the labelling is reliable, that the organization has the necessary systems, processes, and personnel in place to sustain consistent label completion at scale, and that a label can be produced for all in-market segments available. Engagements typically range between [two to five] months, depending upon the size and complexity of the company’s business.”

So now that’s the Data Label is available to the data-driven marketing marketplace, is there real traction to see its use?  From the data provider side, at least, I’d say so.  While some may be taking a wait-and-see approach, some data marketing companies are moving forward with data labeling and transparency certification.

“The digital ecosystem tends to focus on areas like inventory and traffic,” said Chris Hemick, senior product marketing manager, Alliant, whose company is now in the onboarding process. “Alliant is an advocate for bringing the same level of focus to the data marketplace. We firmly believe that IAB’s efforts to spotlight data provider practices around audience creation will be a positive for the entire industry.”

Another data provider, Audience Acuity, echoes these sentiments. “The concept of the Data Transparency Label was introduced in the fourth quarter of last year, after it was developed by the ANA’s Data Marketing Analytics (DMA) division, the IAB Tech Lab, the Coalition for Innovative Media Measurement (CIMM), and the Advertising Research Foundation (ARF),” said Riad Shalaby, CMO of Audience Acuity. “We are aligned with their perspective on this important topic, and we are delighted to be one of the first major data companies in the United States to provide this level of transparency.”

There are many things we, as data marketing professionals, need to concern ourselves with in best practices, ethics, and even legal compliance. Brand safety, ad measurement, piracy, privacy and security, and fake anything are among them. Proper data governance is related to all of these concerns. The more we spotlight our roles as stewards of and for data integrity, the better we can achieve marketplace confidence and trust in the very information that helps make brand-consumer engagement succeed.