Home Data-Driven Thinking Beyond Inferred Or Declared Mobile Data: Trust, But Verify

Beyond Inferred Or Declared Mobile Data: Trust, But Verify

SHARE:

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Taylor West, general manager, North America, at Zeotap.

“Trust, but verify” was a phrase made famous by President Ronald Reagan during the Cold War in reference to Soviet disarmament, and it makes sense in many other contexts today, including the collection of user data.

Let’s face it: The quality of mobile data is poor because of the industry’s dependence on incomplete or inaccurate data collection. There are a couple of different methods commonly used today, but there is a clear need for greater verification and auditing in EMEA, APAC and the United States.

Probabilistic or inferred data are essentially assumptions made about users based on online activities and behavior, such as user location history. Although inferred data relies heavily on machine learning, it is still an educated guess or a probable scenario.

Large CPG companies like P&G and Unilever only feel comfortable buying when demographic data, such as combined age and gender, reaches certain thresholds, say 70% on-target reach. While predicting gender is quite simple, predicting age brackets probabilistically is much more difficult.

Self-reported or declared data is gained when individuals fill out personal information, such as on a social media site, which can be slightly more accurate but still relies on the honesty of the user. If you consider the distortions of truth on, say, a dating app like Bumble or Tinder, there’s a lot of room for error. 

Verified mobile data has been checked for inaccuracies by the data owner. Telcos can provide verified socio-economic information because a photo ID is required when customers create mobile accounts, and telco data is also tied to mobile ad IDs.

Historically, these companies have been reluctant to release their data for obvious security and privacy reasons, but more have gotten on board during the past year or so. With almost universal adoption of mobile phones, there is less growth in acquiring new users; therefore, new revenue streams will have to come from monetizing valuable data.

This could be a game-changer for the quality of mobile data around the globe, yet challenges still exist, particularly in the US.

Unique Challenges In The United States

Subscribe

AdExchanger Daily

Get our editors’ roundup delivered to your inbox every weekday.

Unfortunately, first-party telco data in the United States isn’t as clear-cut as in other parts of the world because of the prevalence of family plans, which skew individual user data. For US advertisers, the ideal scenario would be to work with other large companies, such as banks or payroll providers, but many of these companies are also hesitant to monetize it.

For now, US advertisers will need to continue using inferred and declared data, until they can find partners willing to offer verified first-party data.

Industry Rating Standards And Independent Auditor 

Ultimately, there is a clear need for an authoritative entity to set industry standards and act as an auditor – similar to MRC accreditation – by testing and scoring demographic data for greater accuracy. This should take place not only post-campaign but ideally pre-campaign, or advertisers are left guessing what their performance will be until after campaigns have run. Such a move could certainly help bring the US closer to par with EMEA and other global markets, and soon everyone might be speaking the same language.

Partnerships like the one recently announced by the ARF and the Coalition for Innovative Media Measurement that proposes a data labeling program for basic information on when data is collected, how fresh it is, the data source, the collection method and type of modeling used demonstrate that influential industry bodies are wisely searching for smart solutions. Labeling is just a first step, but a very important one.

There are any number of capable industry organizations, or possibly even external firms, that could help everyone navigate the mobile data chaos and act as a quality watchdog. But there needs to be a greater sense of urgency, which should be one of the mobile advertising industry’s top New Year’s resolutions.

Follow Zeotap (@zeotap) and AdExchanger (@adexchanger) on Twitter.

Must Read

Viant Acquires Data Biz IRIS.TV To Expand Its Programmatic CTV Reach

IRIS.TV will remain an independent company, and Viant will push for CTV platforms to adopt its IRIS ID to provide contextual signals beyond what streamers typically share about their ad inventory.

Integral Ad Science Goes Big On Social Media As Retail Ad Spend Softens In Q3

Integral Ad Science shares dropped more than 10% on Wednesday, after the company reported lackluster revenue growth and softened its guidance for the Q4 season.

Comic: Gen AI Pumpkin Carving Contest

Meet Evertune, A Gen-AI Analytics Startup Founded By Trade Desk Vets

Meet Evertune AI, a startup that helps advertisers understand how their brands and products appear in generative AI search responses.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Private Equity Firm Buys Alliant As The Centerpiece To Its Platform Dreams

The deal is a “platform investment,” in which Inverness Graham sees Alliant as a foundation to build on, potentially through further acquisitions.

Even Sony Needed Guidance For Its First In-Game Ad Campaign

In-game advertising is uncharted territory even for brands like Sony Electronics that consumers associate with gaming.

Comic: Always Be Paddling

The Trade Desk Maintains Its High Growth Rate And Touts New Channels

“It’s hard not to be bullish about CTV when it’s both our largest channel and our fastest growing,” said The Trade Desk Founder and CEO Green during the company’s earnings report on Thursday.