Category: FDA

Facebook teams with McDonald’s–location targeting for fast food giant part of a “bigger media buy”

Facebook is becoming a leading marketer for fast-food companies.  When one thinks about Facebook working to weaken privacy, keep in mind they want to better harvest user data to help sell ads and other marketing services to McDonald’s and others.  According to Ad Age [excerpt, sub. may be required]:

Facebook is preparing to launch location-based status updates for its users. But the social network is also planning to offer it to marketers, including McDonald’s. As early as this month, the social-networking site will give users the ability to post their location within a status update. McDonald’s, through digital agency Tribal DDB, Chicago, is building an app with Facebook would allow users to check in at one of its restaurants and have a featured product appear in the post, such as an Angus Quarter Pounder, say executives close to the deal.  Facebook is not directly charging McDonald’s to build the app; Facebook generally does not charge developers to build on its platform. But executives with knowledge say it was negotiated as part of a bigger media buy on Facebook, and McDonald’s will be the first marketer to take advantage of the service.

The fast feeder won’t be alone for long. While McDonald’s is expected to be involved in the rollout in the next few weeks, execs at other digital shops have begun to spec out location-based campaigns in anticipation of Facebook’s impending functionality, which will allow users to include their location in a status update.

…Kevin Colleran, director-national sales at Facebook…noted that Facebook has the world’s largest mobile application, with more than 100 million users each day.
source:  McDonald’s to Use Facebook’s Upcoming Location Feature:  Brands Eager to Build Apps Once Massive Social Network Launches Its Own Foursquare Competitor.  Emily Bryson York. Ad Age.  May 06, 2010

Do You Want Marketers to Target You via a “SocialDNA platform”?

33 Across is one of the recipients of a Google/WPP ad research reward.  As 33Across explains, it “enables brand and performance marketers to unlock the power of the Social Web. Our SocialDNAâ„¢ platform uses previously untapped social data sources, in combination with advanced social network algorithms, to create unique and scalable audience segments.”   In a job posting, they add that it can “enable advertisers to deliver high-performance media programs by activating the social graph around their brands. Our patent-pending SocialDNATM platform creates custom segments of people who are socially connected to a client’s existing customers, and reveals deep insights into the social network characteristics of a marketer’s brand. Our clients include many of the top online advertisers.”

Google Paper on “Opt-in Dystopias”: Doesn’t Reflect What Google Actually is doing with data

The Google Policy blog promoted a paper by two Google employees on the opt-in/opt-out policy debate.  The paper is worth reading, but its use is limited because it doesn’t reflect the actual online marketing data collection process.  Here’s what I just wrote on the Google site:

The authors need to revise their paper based on the goals and actual practices with online marketing and data collection done by Google and its affiliates. While it’s true that the binary opt-in, opt-out debate is unfortunately narrow, it is used to address far-reaching data collection and targeting strategies implemented by Google and other online marketers. The authors, for example, should examine Google’s use of neuromarketing for its YouTube advertising products; or the role of purposefully developed “immersive” multimedia tied to data collection by DoubleClick. They should analyze Google’s advertising goals, including what it promises to the largest pharmaceutical and financial advertisers, for example. Or examine the growing role of merging offline and online data collection tied to a specific user cookie to be auctioned off that is now routinely used in online ad exchanges (Google owns one such exchange). They should also reflect on how Google–when rushing to catch up with Facebook in the social media marketing business–launched its Buzz product without a careful analysis of its impact on data collection. Google’s researchers on privacy, in other words, would be more credible if they carefully analyzed how their own company uses–and plans to use–data. This issue deserves a robust debate–and we know the authors are sincere in their interest to make an important contribution. But they should also have been candid that Google is fighting off policy proposals from privacy advocates that would empower a user/citizen by allowing them to protect their privacy–including using opt-in.  The failure to have global policies that protect privacy is the high social and political cost the public should not have to bear.

Ad Exchanges, Real-Time Auctioning of Users and Privacy: “our ability to target across many dimensions”

Last week, CDD, USPIRG and World Privacy Forum filed a complaint with the FTC asking it to protect the privacy of U.S. consumers.   Over the last two years, the growth of the data collection, tracking, analysis and targeting industry online–including the real-time auctioning off a consumer based on sets of their data–raises many concerns.  This blog will be covering the field, as CDD works to encourage the FTC and the EU to address the issue.  For now, it’s always useful to see what people from the online ad business say about these practices. In OMMA magazine, here are some excerpts from an article on the topic.

“We are definitely seeing the most exciting things for us in display in our ability to target across many dimensions,” says David Cohen, U.S. director of digital communications at Universal McCann. “Whether that is behavioral targeting or third-party data or our own platform – that is where we are seeing the most excitement – in targetability.” …“If you are an owner of display advertising, this is a great time to be in the marketplace,” says Dave Zinman, vice president and general manager of display advertising at Yahoo, which delivered 521 billion ad impressions in 2009… A new alphabet soup of suppliers and technologies emerged last year that promised at long last to apply better science to the art of display. Data providers like BlueKai or Media6Degrees helped marketers find the right audiences amidst the endless inventory of the Web. Much hope is circulating around real-time bidding (RTB) at ad-exchange engines like PubMatic, Yahoo’s RightMedia and The Rubicon Project. In these models, user data combines with real-time analysis of available inventory so an advertiser can buy individual impressions across a wide array of sites. Your ad appears only when just the right person hits a page… agencies have jumped on board with their own demand-side platforms (dsps) that buy inventory on the exchanges and networks along with third-party data in order to create their own audiences for clients…At the No. 2 seller of display, Fox, Mark Papia, senior vice president of the Fox Audience Network, is as enthused as anyone about the prospects for laser-targeting through the technologies and data layers that have been assembled over the last year. With 158 million uniques combined with data from Fox and 800 other publishing partners, he believes FAN has the scale and data to profit from next-gen display.

source:  Can Science Save the Banner?  Steve Smith.  OMMA.  April 2010.

Health Privacy: Should Health Marketers Be Able to Target You without Opt-in Consent?

We think not.  Consumers should decide–in advance and fully informed–whether they should be sent ads online for health conditions.  Take a look at WedMD’s privacy policy–which like most marketers hides behind claims that the “cookie”–a digital file placed on your browser”–isn’t personally identifiable.  Here’s what it says [excerpt]:

“Even if you do not register with WebMD, we collect Non-Personal Information about your use of our Web site, special promotions and newsletters…

We collect Non-Personal Information about your use of our Web site and your use of the Web sites of selected sponsors and advertisers through the use of Cookies. Every computer that accesses a WebMD Web site is assigned a different Cookie by WebMD. The information collected by Cookies (i) helps us dynamically generate advertising and content on Web pages or in newsletters, (ii) allows us to statistically monitor how many people are using our Web site and selected sponsors’ and advertisers’ sites, (iii) how many people open our emails, and (iv) for what purposes these actions are being taken. We may use Cookie information to target certain advertisements to your browser or to determine the popularity of certain content or advertisements…Third parties under contract with WebMD may use Cookies or Web Beacons to collect Non-Personal Information about your usage of WebMD’s sites. These third parties may use this information, on our behalf, to help WebMD target our advertising on their sites within their network, and WebMD may further tailor the advertising on these third party sites based on your geographic location (zip code), gender and/or age range to the extent known by these third parties….

WebMD Health Manager tailors the information you receive on your personal Health Manager home page to reflect your interests, concerns and personal health characteristics. We attach a concept unique identifier (CUI) to every piece of information that you provide us. For example, if you complete the HealthQuotient and indicate that you have diabetes, that single piece of information is tagged with a CUI that is specific to diabetes. Every user that indicates he or she has diabetes receives this CUI tag. Each time you view your personalized Health Manager pages, this CUI tag is matched to content from WebMD about diabetes, and if our automated algorithms determine that this is likely to be an important topic to you, it will appear on your personalized pages…”

We don’t mean to single out WebMD–the entire online health and pharma marketing industry requires scrutiny from policymakers and other consumer advocates.  That’s why my CDD is asking both the FDA and FTC to conduct a privacy and consumer protection ‘exam’ of this industry.  Don’t you think such a process should be covered under the new–and much needed–national health care plan!

Online Ads Generate Sales, says Yahoo! Underscores Power of Digital Marketing

One of the ploys online advertisers are using to help deflect the call for privacy and consumer protection rules is that all this data collection & and online marketing really doesn’t amount to much.  But we all know the opposite is true:  online marketing techniques are designed to trigger consumer behavior.  Here’s what Yahoo just blogged, about a speech to advertisers given by their CEO Carol Bartz [our emphasis]:”…a recent study Yahoo! did with a brick-and-mortar retailer that tracked the effect of online ads on more than [sic] million consumers. While everyone involved in the study expected that online ads would drive online buying, the study found that 93% of the effect of the ads caused offline purchases. And every ad dollar spent drove $10 in purchases.“

The IAB’s Targeting/Data Collection Glossary: Oh, What a Tangled Privacy Threatened Web They Weave [Annals of Geo. Orwell meets Madison Ave.]

The Interactive Advertising Bureau has released for public comment a telling document that illustrates why Congress and the FTC need to develop some rules to protect consumers.  Take a look at the definitions the IAB has embraced on targeting and data collection–and ask yourself.  Based on what they say, can this really be–as the IAB claims–non personal information? Here are some of the definitions from the Networks & Exchanges Quality Assurance Guidelines [Feb. 2010]:

*Audience Targeting:A method that enables advertisers to show an ad specifically to visitors based on their shared behavioral, demographic, geographic and/or technographic attributes.  Audience targeting uses anonymous, non-PII data.

*Behavioral Targeting:  Using previous online user activity (e.g., pages visited, content viewed, searches, clicks and purchases) to generate a segment which is used to match advertising creative to users (sometimes also called Behavioral Profiling, Interest-based Advertising, or online behavioral advertising).  Behavioral targeting uses anonymous, non-PII data.

*Attribute – A single piece of information known about a user and stored in a behavioral profile which may be used to match ad content to users.  Attributes consist of demographic information (e.g., age, gender, geographical location), segment or cluster information (e.g., auto enthusiast), and retargeting information (e.g., visited Site X two days ago).  Segment or cluster information is derived from the user’s prior online activities (e.g., pages visited, content viewed, searches made and clicking and purchasing behaviors).  Generally, this is anonymous data (non-PII).

*Behavioral Event – A user-initiated action which may include, but not limited to: searches, content views, clicks, purchases, form-based information and other interactions.  Behavioral events are anonymous and do not include personally identifiable information (PII).

*Clickstream Data – A Clickstream is the recording of what a computer user clicks on while web browsing.  As the user clicks anywhere in the webpage or application, the action is logged on a client or inside the web server, as well as possibly the web browser and ad servers.  Clickstream data analysis can be used to create a user
profile that aids in understanding the types of people that visit a company’s website, or predict whether a customer is likely to purchase from an e-commerce website.

*Cookie – A small text file sent by a website’s server to be stored on the user’s web- enabled device that is returned unchanged by the user’s device to the server on subsequent interactions.  The cookie enables the website domain to associate data with that device and distinguish requests from different devices.  Cookies often store behavioral information.

*Cross-site Advertiser Analytics – Software or services that allow an advertiser to optimize and audit the delivery of creative content on pre-bought publisher inventory.  Data can range from numbers of pages visited, to content visited, to purchases made by a particular user.  Such data is used to surmise future habits of user or best placement for a particular advertiser based on success.


*Deep Packet Inspection – A form of computer network packet filtering that examines the data and/or header part of a packet as it passes an inspection point. In the context of online advertising, it is used to collect data, typically through an Internet Service Provider, which can be used to display targeted advertising to users based on previous web activity.

* Retargeting (or re-targeting) – The use of a pixel tag or other code to enable a third-party to recognize particular users outside of the domain from which the activity
was collected. See Creative Retargeting, Site Retargeting.

*Creative Retargeting:  A method that enables advertisers to show an ad specifically to visitors that previously were exposed to or interacted with the advertisers’ creative.

*Unique User – An individual user that has interacted with online content, which is smaller than or equal to the number of cookies observed.  The number of unique users to a website is usually an estimate.  

Yahoo to Pharma Marketers: Come `Engage’ & Target Health Consumers Online


As my CDD has explained to both the FDA and FTC, the digital marketing of drugs and health information require serious privacy and consumer protection safeguards.  What may be acceptable when selling cars & travel online using the online ad tool-set is not appropriate when transferred wholesale to such sensitive categories as drugs.  Here’s an excerpt [pdf] from Yahoo!s promotional piece entitled “Social Media:  Pharmaceutical Marketing in the Age of Engagement.”

Social media marketing is a compelling opportunity for pharmaceutical companies to reach their most influential audience. Recent research conducted by Manhattan-based Hall and Partners Healthcare found that online health consumers are hyper-engaged and leverage almost twice as many information sources

to learn about disease states and prescriptions than the average consumer… For every creator of content – a physician writing a blog, for example – there are

roughly 10 synthesizers actively commenting, sharing, rating and reacting. For each group of synthesizers, roughly 100 consumers read, watch, listen and enjoy

while participating only occasionally. All three of these groups have a valid place within the community. event forms. Just as we have built communities of physicians who speak openly with each other about our products, we have an opportunity to nurture and learn from consumer communities as well. First, we must listen with intent…Analyzing what you hear can reveal a gap in consumer awareness. What’s more, a number of tools have emerged to help consolidate the vast array of social media input, from free online evaluators like Intelliseek, to sophisticated and customized tracking services like Cymfony. Once marketers have a firm grasp on the language, attitudes, brand perceptions and key COLs in their consumer community, pharmaceutical company participation can range from targeted media placement to integration and empowerment. All approaches are open to branded or unbranded programs…

Facebook: `Social identity revolutionises ads’

That’s the headline on a Facebook executive’s presentation at Social Media World Forum in London.  As reported by StrategyEye, “[S]ocial network profile identities “fundamentally change” the relationship between online marketers and consumers, according to Facebook EMEA strategy and planning head Trevor Johnson. Tailoring marketing campaigns to people rather than IP addresses or other anonymous online identities provides far better ways of reaching consumers and targeting ads, says Johnson.”  The story says Johnson explained “that Facebook ads which use social context produce a 25% increase in user actions and a 68% increase in “brand lift”. He also says that posts published by brands and firms are almost seven times more likely to create a user action than paid advertising on the site.”

“Medical Searches made up 45% of total online traffic”

That’s what Hitwise says, according to a recent report on search engine marketing.  Online ad spending by pharma is predicted to be $2.2 billion in 2011, “up from $1.2 billion in 2008.

source:  Take advantage of pharma sem: Your Rx for success.  Dan Brough.  Search Engine Marketing: Essential Guide.  DM News. 2009