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TAG-certified ad channels shown to reduce invalid traffic by more than 80 percent, again

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Digital advertising fraud from invalid traffic was reduced by more than 84 percent in Trustworthy Accountability Group (TAG) distribution channels this year, compared to the industry standard.

That’s according to the latest annual report by ad infrastructure consultancy The 614 Group, a followup to the initial analysis released last year at this time, which found a similar 83 percent reduction.

This year’s report looked at 75 billion ad impressions in the first seven months of 2018 from five of the largest ad agency holding companies — Annalect (Omnicom Media Group), GroupM, Horizon Media, IPG Mediabrands, and Publicis Media.

Invalid traffic rates in TAG Certified channels were less than two percent, about the same as last year. However, this year’s report added Sophisticated Invalid Traffic (SIVT) to last year’s General Invalid Traffic (GIVT), and a wider range of ad types, including video, mobile web and in-app ads as well as web display. SIVT requires more advanced analytics to identify.

The SIVT + GIVT rate in TAG channels this year was 1.68 percent, while it’s 10.43 percent generally, thus creating the 84 percent reduction.

The TAG certification and seal. In TAG Certified channels, all participants have received the TAG seal — agencies, buy-side platform, sell-side platform, and/or publisher. Traffic measurements were made by Moat, DoubleVerify and Integral Ad Science, which are also TAG certified.

When the last report was released in December of 2017, there were 49 companies that obtained the TAG seal. Now, there are 109.

TAG’s Certified Against Fraud Program, which grants the certification, was launched in 2016 in an effort to fight invalid traffic, and firms that conform to the TAG Guidelines receive a Certified Against Fraud Seal. The Guidelines include Publisher Sourcing Disclosure Requirements, where publishers indicate how they will disclose the traffic they obtain via paid sources.

TAG tools to help companies meet the Guidelines include a Payment ID System that tracks a chain of custody for digital ad transactions, a Data Center IP List with common IP addresses exhibiting invalid traffic, and the Ads.txt specs, which provides a public record of authorized sellers of specific public inventory.

About TAG. “There’s a saying in the technology industry that once can be lucky, but twice means you’re good,” said TAG CEO Mike Zaneis in a statement. “By reducing fraud rates in TAG Certified channels to less than two percent for the second year in a row, TAG’s Certified Against Fraud Program has firmly established the success of its model to reduce invalid traffic and stop the flow of money to the criminals who profit from it.”

TAG was created in 2015 by the American Association of Advertising Agencies, the Association of National Advertisers and the Interactive Advertising Bureau “to eliminate fraudulent traffic, combat malware, prevent Internet piracy, and promote greater transparency in digital advertising.”

Why this matters to marketers. Invalid traffic includes any impressions or clicks that do not come from actual users, but instead are generated artificially by bots, paid viewers, or publishers themselves.

It is one of various frauds that annually cost the digital advertising industry billions, and certified channels that reduce IVT go a long way toward reducing this part of the overall problem.

This story first appeared on MarTech Today. For more on marketing technology, click here.

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10 questions with… Anna Watkins, UK managing director of Verizon Media

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In an attempt to showcase the personalities of the people behind the media and marketing sector, The Drum speaks to individuals who are bringing something a little different to the industry and talks to them about what insights and life experience they can offer the rest of us. This week's 10 Questions are put to Verizon Media's UK managing director Anna Watkins.

What was your first ever job?
It would have been washing my dad's car to earn my £1 pocket money each week. Smart man.

Which industry buzzword annoys you most?
Relatable.

Who do you find most interesting to follow on social media?
@POTUS is truly mind-boggling.

what is the highlight of your career (so far?)
Working with such a creative, inspiring and intelligent bunch of people every step of the way.

What piece of tech can you not live without?
It's baffling that I was born in London yet still seem to use Citymapper every day.

Who or what did you have posters of on your bedroom wall as a teenager?
Adam Ant and Count Dracula (aged 7). I'm not quite sure what that says about me.

In advertising, what needs to change soon?
We need a truly diverse workforce.

If you could change anything about a social media platform you use, which one and what would you choose to do?
It’s more a question of changing myself – I need to flex my creative muscles if I’m ever to make more than one friend on Tumblr…

What is (in your opinion) the greatest film/album/book of your life?
Scarface / Sign of the Times / War and Peace – delusions of grandeur, mine and theirs.

Which industry event can you not afford to miss each year and why?
The big awards bashes – it's like going to a series of weddings where you know half the guests.

The Drum's 10 Questions With… runs each week with previous entries available to view here.

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Mobile carriers end data sharing with location aggregators; should marketers worry?

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The collection and use of real-time mobile-location data has emerged as a critical piece of the larger data-privacy debate. A recent run of negative stories have conveyed the impression that location data usage by marketers is tantamount to spying on consumers.

We’re also starting to see lawsuits, like one recently filed by the Los Angeles City Attorney against the Weather Company, for allegedly misleading consumers about how their location data would be used. More suits will likely follow.

Carriers cut off data sharing. The negative coverage and exposure of some high-profile abuses have motivated major U.S. mobile carriers to cut off location data sharing with third party “location aggregators.” The latest to do so is AT&T, following a story by Motherboard that indicated carrier data was getting into the hands of unauthorized third parties — bounty hunters, in this case — and being used for legally dubious purposes.

As a practical matter, these moves are unlikely to significantly impact use of location data by advertisers on major platforms or in the programmatic ecosystem. AT&T owns AppNexus; Verizon owns Verizon Media Group (the rebranded Oath). Location data will probably still be available to advertisers on these platforms — they’re not “third parties.” (We’ve asked Verizon for clarification on this point and will update the story if they respond.)

Calls for more regulation or legislation. Location data are so valuable and widely available that abuses are inevitable. Some of these increasingly frequent reports are adding momentum to calls for federal data privacy legislation. The carriers’ decision to cut off location aggregators is at least partly an effort to preempt investigations and potentially forestall regulation.

Some location data companies embrace the proposition of clear regulatory or legislative guidelines, however.

For example, PlaceIQ CEO Duncan McCall recently told me in email: “I think that the California Consumer Privacy Act and hopefully a similar federal law (as a state-by-state patchwork of different laws would be good for no one) will not only give consumers protection and confidence, but will finally give the digital data and location data ecosystem a well-thought out set of rules and guidelines to adhere to. This will bring stability and predictability to the industry, and help weed out some of the “wild west” players that have had no interest in investing for the long term good of the ecosystem.”

Most location-data companies also say they adhere to ethical data-collection practices and are scrupulous about being “good actors” in the ecosystem. Some are vocal about the responsible and/or socially beneficial use of location technology. And some organizations (e.g., NAI) are seeking to enforce transparent and ethical data collection standards. Foursquare told me in email that their apps and partners seek opt-in consent for use of location data.

Why you should care. Location data is available from a wide range of sources in the market, including app developers and the programmatic bid stream. The loss of carrier location is not a significant blow to the ecosystem.

However it is reflective of a trend toward the tightening of access to location information more generally. While it remains to be seen whether federal privacy legislation passes in 2019 (multiple bills have been proposed), California’s Consumer Privacy Act will go into effect January 1, 2020. Other states may enact similar or more strict laws, which would lend further impetus to comprehensive federal legislation.

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Catalina adds first attribution tracking service

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Best known as a provider of retail marketing intelligence based around loyalty cards and in-store printed coupons, Catalina this week released its first attribution service.

Called Catalina Multi-touch AttributR, it traces a path from digital advertising — in various channels on various devices — to a purchase made in a store with a loyalty card. The company is able to track purchases down to the UPC bar code level.

At the level of the Diet Coke flavor. Coca-Cola, for instance, can now track how a web site ad shown on a computer affects the purchase of a Diet Coke, as well as whether the flavor chosen is Twisted Mango versus Ginger Lime. Additionally, the attribution service can report if it’s the first time this consumer bought Twisted Mango.

Previously, Catalina measured how its printed in-store coupons affected buyer behavior, but it didn’t track the impact of ads. The new attribution solution is the company’s first effort to link digital ads to buyer behavior, and it plans to add addressable TV ads to the system.

Catalina tags the digital ad with its own attribution pixel, which is called when the ad is shown and provides data on the specific campaign deployments.

But the connection between the ads shown, the various devices used by a single individual, and the in-store purchases are actually made by consumer data firm Experian on Catalina’s behalf, through such persistent identifiers as phone numbers or email addresses.

“Not in the business of knowing who you are.” In the new attribution service, the retailer sends the loyalty card ID to Experian, which matches it with the digital cross-device profile of a given individual and with the ads shown to the user on those devices. Experiam then returns a report to Catalina that uses an anonymized ID.

Catalina CMO Marta Cyhan told me the company deals only with anonymized IDs because “we’re not in the business of knowing who you are,” although Experian does have PII.

The data is updated daily to a self-service dashboard for brands (see below) and, since Experian tracks profiles, the attribution can also include the effect of ads on repeat purchases, new buyers of a product category and other consumer behaviors.

Difference from NCS. Catalina, which filed for bankruptcy protection last month, is also known as a partner in Nielsen Catalina Solutions (NCS), which employs data from the in-store coupons and loyalty cards. But, Cyhan said, Catalina’s new attribution measures individuals across multiple channels deterministically, since the actual people are known through the Experian matching, while NCS is focused on measuring single channels through probabilistic modeled data.

Additionally, she said, Catalina’s new solution is updated daily, includes buyer behavior changes and provides granularity down to the UPC level, while NCS provides post-campaign reports on overall sales lifts.

Why you should care. Catalina’s shopper data is used widely by marketers, and this first attribution service will help brands determine the impact of their paid media spend.

Additionally, Catalina is providing a very fine level of granularity, down to the individual product bar code, with a very high level of certainty. This approach could provide the kind of accurate, return-on-spending results that major consumer brands have clamored for.

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