It’s Time To Implement Data Labeling To Boost Transparency For Marketers

Do you check out the nutritional information on packaged foods when you go grocery shopping? Those labels were made mandatory as part of the Nutrition Labeling and Education Act of 1990 and they disclose important information, especially to those with special dietary needs and food allergies. They allow consumers to make informed choices about what they buy.

When it comes to marketing data, there has been no such requirement. As a result, the quality of data that advertisers and marketers rely on for their campaigns has been about as clear as mud.

That’s about to change. Neustar has joined forces with five of the leading marketer groups in the U.S. — the ANA, the ARF, the Coalition for Innovative Media Measurement, the DMA and the IAB Tech Lab — to establish third-party data labeling standards. It’s an idea whose time has come.

Today’s ever-growing datasets, along with the hundreds of different data providers, can leave marketers and advertisers overwhelmed and at a loss. With little insight into what’s included in the data they’re buying and how it gets processed, they have no way to compare their options or to know whom to trust. We need to lift the smokescreen around where our data is coming from and how it’s being processed,  turning opaque information into actionable insights for organizations large and small.

That’s especially true as data transparency becomes a more pressing, vocalized need. Data privacy laws such as GDPR and CCPA put the onus of data responsibility squarely on marketers’ shoulders. Neustar believes that data providers should be held accountable for the data they sell into the market — just as the FDA mandated accountability for food producers’ ingredients 30 years ago. Data labeling standards create accountability. Providers will now be expected to accurately and truthfully represent where their data comes from and how it gets processed. The goal is to remove opacity and doubt, thus enabling marketers to make more informed decisions about the data they buy.

The result will be a Data Transparency Label, a “nutrition information” label of sorts for consumer-based data that gives marketers and agencies confidence that the data they use is accurate, reliable and provides value for their investment.

What will the Data Transparency Label reveal?

The Data Transparency Label helps marketers answer four crucial questions about any audience’s “ingredients”:

1. Which provider did the segment come from?

2. What is the source of their data?

3. Who is in an audience and which audiences on the market are comparable?

4. How was the audience built?

Combined, this information will give marketers a clearer understanding of the data they buy so they can make better-informed decisions about what data they want to use, and which data providers they want to work with.

Diving deeper, the four parts of the Data Transparency Label will investigate and evaluate the following:

1. Data solution provider/distributor information specifies who the data solution distributor (and, where relevant, the data provider) is, including clear contact information.

2. Audience snapshot offers a top-line description of who the audience is meant to be, and what geographic location (if any) the audience covers. It also identifies the most relevant segment name from a new, standardized dataset taxonomy, helping marketers clearly identify what types of audiences they are buying.

3. Audience construction includes audience count, level of precision (household or individual), the activation IDs (cookies, MAIDs), what applicable modeling or cross-device ID expansion may have been applied, audience refresh rate, and the time period over which the data was sourced (event look-back window).

4. Source information includes critical historical details for each significant data source on how the data set was constructed (data provenance); what data is included (names and postal codes for example); collection techniques; refresh frequency; and the event look-back window.

Setting the standards

Neustar is proud to be at the forefront of this important initiative, serving as one of the 15 Identity Council Leadership Committee members. (Other members include Acxiom, Experian, Fluent, FullContact, LiveRamp, Lotame, Oracle Data Cloud and TruSignal.) Neustar is playing a vital role in shaping the standards and practices of transparent and ethical marketing. This initiative will finally allow us to build a consensus around transparency and establish data-quality labeling standards.

Together, the council will be responsible for setting the pace, priorities and outcomes, as data-quality labeling standards go from vision to reality. Working together, the council will provide: an agreed-upon common language for the industry, as well as commercially available identity data that underlies target audience segments; consensus among critical industry organizations, representing all members of the ecosystem; and peer-reviewed validation methods that make data labels comparable and raise confidence across all users.

As a leader in identity resolution and data transparency, Neustar believes our expertise and credibility will provide a valuable contribution to this effort, one that will strengthen the marketing and advertising industry as a whole.

Food labels have helped turn an opaque food industry into one that helps shoppers make wiser choices for themselves and their families. It’s time for the same transformation to happen for data marketers. We’re confident that better data labeling will answer that call.

An earlier version of this post was published by Neustar here.