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Archive for April 11th, 2008

What differentiates companies in this space (last of two parts).

Posted by Mort Greenberg on April 11, 2008

Source: http://imediaconnection.com

Behavioral Targeting 101 Part 2
 

The realization that Web site behavior is a pretty accurate indicator of service and product purchase intent is not new. As discussed in part one, behavioral targeting has been around for years, and data mining for longer. Most of the major behavioral targeting companies tell Web site advertisers and publishers alike that the real key to using this information more efficiently is to apply increasingly-sophisticated behavioral metrics to measuring and assessing what unique visitors do.

“One of the major improvements goes into the understanding of a lot of things that make up behavior — everything someone does when he or she visits a site,” says Brian Handly, CEO of Accipter Solutions, Inc. “Most of what is talked about is the behavior to a certain content area, or where and when someone made a purchase or filled out a form. It goes back to what type of action the person took.

“We can log that information and note that maybe this behavior happened twice in the last week, and maybe 20 times. This is not technology that knows who you are but where you have been,” adds Handly, describing its VIBE product, or “Visitor Interest Behavioral Targeting Engine.”

The initial installation of VIBE was with the online PostNewsweek Tech Media’s Government Computer News, a magazine published for government buyers of information technology products and services, and Washington Technology, a magazine for government information technology systems integrators.

Accipiter says that PostNewsweek “understands that the most reliable indicators of a Web visitor’s interests are how that individual interacts with content and behaves during online transactions. This is why behavioral targeting is the most effective way to create a meaningful connection with online customers and prospects.” 

In March, 24/7 Real Media introduced Insight ACT, an analytics technology that enables behavioral targeting through audience clustering. The company also introduced Open AdStream 5.7, the most current version of the company’s ad management solution. The company says these two products provide its publishing customers with a fully-functional and totally integrated analytics, behavioral targeting and ad serving solution.

“In the last number of months, we have worked to build a seamless system, not only just behavioral marketing, but an inventory management module that accomplishes both analytics and behavioral advertising, while enabling publishers to control inventory,” says Hills. “Now, we have both.”

Insight ACT links Open AdStream’s ad serving capability with Insight XE, which is 24/7 Real Media’s proprietary content and commerce analytics system. Insight ACT offers behavioral segmentation and targeting in a three-step process of analysis, clustering and targeting of user segments. Insight ACT also provides inventory forecasting and control as well as performance reporting by behavioral segment.

Is contextual targeting better than observed behavior?

Claria Corp., of Redwood City, CA, views itself differently. CEO Scott Eagle says the “observed behavior” model, which some of his competitors use, can be just a baby step. “They don’t know if that person just likes to read travel articles, or whether she is planning a trip domestically or overseas. Because they only have limited data, their model is still somewhat flawed.”

Eagle prefers “contextual targeting,” where specific behavior on many sites is tracked and aggregated. To him, a holy grail might be an interrelated series of discoveries that would work with user-inputted site registration information and surfing habits, to identify males 30 to 45 years old who not only read about travel, but make over $100,000 a year, check European art museum sites, and have typed in the keyword phrases “luxury hotels” and “Europe” into a search engine.

“Then, maybe you send him a Virgin Atlantic ad,” Eagle says, referring to the British carrier with the contemporary passenger experience.

Claria’s offering in this space is Feedback Research Database Analytics, a solution the company says “accesses the actual navigation behavior of over 43 million users across over 60 million domains every day.” The secret sauce is information collected via the GAIN Network, a collection of free online behavior and advertising click-on measuring tools distributed to opt-in consumers. GAIN estimates a permission-based relationship with over 43 million users.

The data is then used by Claria to create comprehensive analyses of customer behavior in several categories, including which sites the user visited on the online session before clicking on the current site, on what site she shopped, what information, if any, can be gleaned by specific navigational patterns, the frequency of viewing and purchasing on measured sites, as well as comparative sales conversion levels.

As an example, Eagle cites a “big apparel company” that used information to design and target nine different “$5 off” ads aimed at women between the ages of 24 and 35, earn less than $100,000 a year, and through their surfing patterns were shown to be comfortable with buying online.

Is real-time helpful?

New York-based TACODA Systems says what sets it apart are the size of its customer base (18), the maturity of its technology (launched three years ago), and the ability of its technology to update profiles in real-time. The real-time capability means that an audience member’s profile can be changed in milliseconds, according to specific browsing behaviors, such as which automotive content a user viewed or whether they filled out a questionnaire. Different ads can then be delivered to that person in the same session. CEO Dave Morgan cites one case in which a publisher delivered 50 percent more inventory in real time — enough to cover the buyer’s needs, and effective enough to win renewal later.

USAToday.com, iVillage, Tribune Interactive and Weather.com are among the more than 500 Web sites for which TACODA’s Audience Management System handles segmentation and targeting. These publishers — who collectively reach 70 percent of Internet visitors monthly — have sold millions of dollars in incremental revenue through behavioral targeting and have learned what works best and what to avoid, Morgan says.

“Over the course of hundreds of campaigns, our customers and their advertisers have become the true industry experts,” he says. “They know which data to use and what to leave out of a behavioral segment. They have tested thousands of combinations of frequency, recency and volume to create [30] segments that perform well in direct response and branding campaigns.” 

In addition, TACODA plans to launch an audience-centric ad network where ads will be sold in a Web-based auction. TACODA’s network will enable direct marketing and search advertisers to use behavioral targeting in combination with demographic data to reach defined audience segments of significant size across a vast network of quality publisher sites initially to include numerous sites that are already TACODA AMS customers.

TACODA’s network will launch offering text-based, pay-per-click ad units that will be sold in an open bidding auction process. The ads will be served to users wherever they are on Network sites enabling extremely fast delivery of highly relevant messages.

Role of relevance

Another behavioral targeting company, Bellevue, WA-based Revenue Science, approaches the space with the mantra “Reach, Quality and Trust. In order to satisfy the requirements of advertisers, publishers and consumers, we must focus in these three areas,” says Omar Tawakol, senior vice president of marketing.

Revenue Science is addressing reach, in part, through its full-service model. “Our revenue managers work closely with ad sales and ad operations executives at our publisher clients, such as Reuters.com and ESPN.com, as well as speaking directly with agencies and advertisers,” explains Tawakol. “By bringing both sides together to discuss how behavioral targeting works, and how to derive maximum benefit from integrating behavioral targeting into online campaigns, everyone gains a greater understanding, and we gain a wealth of knowledge on what both sides need to be successful, which informs the development of our services and technology.”

Revenue Science launched its Audience Search™ service last month with The Wall Street Journal Online at WSJ.com. Audience Search allows publishers to customize audiences at the campaign-level based on advertisers’ RFPs. In addition, Audience Search provides a directional measure of audience quality through the Behavioral Relevance™ Score.

“This scientific verification of audience composition provides advertisers with the insight they need to invest in behavioral targeting as a mainstream form of online advertising,” Tawakol says.

Audience Search also addresses quality through a familiar interface that enables publishers to easily adjust the reach/relevance for every audience in real time, in order to achieve the optimal result for an advertiser’s campaign.

“What was once a complex, time-consuming process for publishers has become a simple task that can be done quickly and efficiently,” Tawakol says.

Finally, trust is quickly becoming the most important topic in online advertising. “We are committed to preserving the trust that exists between our publishers and their readers,” Tawakol says. “Revenue Science made the decision not to view or sell personally identifiable user information and to group all data on user behavior, providing complete anonymity. We only collect data within the confines of a single site, so users are not tracked across the Web, and we never install software on a user’s machine or use intrusive methods that disrupt the user experience.”

Different approaches, but one goal

The research methods between solutions may be different, but not so the goal. “It’s all about the ability to understand and segment down audiences, by being able to see who is clicking and converting,” Claria’s Eagle says.

Or, as John Milton would say, “To help you find them.”

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Specialists explain what this functionality is and isn’t about (first of two parts).

Posted by Mort Greenberg on April 11, 2008

Source: http://imediaconnection.com

Published: April 28, 2004
Behavioral Targeting 101
“It were a journey like the path to heaven, to help you find them,” the great English poet John Milton wrote in 1634.

Now, in 2004, a number of behavioral targeting infrastructure and software companies are on a journey to help advertisers find “them” — potential customers whose Web-surfing patterns and behavior indicate a willingness to be receptive to customized offerings for their products and services.

“You have to think about where all this starts. It is about giving the consumer as much relevant advertising as you can, via addressable mediums,” says Dave Hills, president of media solutions for 24/7 Real Media.

“In behavioral targeting, the most important issue is starting with the right data,” says Dave Morgan, CEO of Tacoda Systems. “There is a hypothesis of what are the 10 to 15 available data points you can use that can significantly impact the value of an audience member. It is not about data mining, or amassing data, but on focusing a collection of high-value data points.”

The key, then, is finding these high-value data points. The overriding and proven assumption here is that what pages Web site visitors click on and where they go from those pages indicates at least a presumptive interest in buying products related to the topics that they click on. For example, repeat visits to a Web page with reviews of sport utility vehicles, coupled with a cruise to the automotive section of classified ads on a site, clearly indicate at least a curiosity about SUVs.

Now, let us suppose that same visitor is also going to pages where she clicks through to an online book seller to a book about how to help your child adjust to kindergarten. Behavioral targeting specialists may look at this data and start to conclude that the site visitor is looking for an SUV to fit the transportation needs of her growing brood.

Often, this information is not just gleaned from one visit, but repeat visits over time. Perhaps on the first few visits to a newspaper site, most clicks are to articles about SUVs. On the second visit, or maybe the third, the articles are revisited, but the customer also clicks on the automotive ads. It does not take a degree in rocket science (or in marketing, for that matter) to recognize the likelihood the customer is on a likely trajectory from “investigate” to “purchase.”

“We have learned there’s no question that quantifying the quality and acceleration of surfing habits can be a significant indicator of purchasing intent,” says Morgan.

A Dallas Mitsubishi car dealer used contextual advertising within the automotive section of DallasNews.com to deliver targeted banners to consumers. The newspaper served the same ads, which appeared in the summer of 2003, when visitors returned to DallasNews.com even if they were outside the automotive area. The dealer used Tacoda’s Systems’ Audience Management System targeting capabilities to reach visitors whose prior actions suggested a keen interest in the advertiser’s message.

Belo Interactive, which oversees DallasNews.com, reported that the response rate among the target audience was 7.7 percent as compared to the national average of 0.33 percent. These ads played a part in doubling the number of credit applications the dealership received, and increased the number of online searches by 17 percent. The DallasNews.com campaign generated 44 percent of the total phone calls into the dealership, at a time when several other automotive promotions were running in other media.

The world of online news is fertile ground for behavioral targeting solution providers. Tacoda, for example, works with USAToday.com, Tribune Interactive, Advance Internet and Weather.com.

It has a lot to do with the nature of dead-tree newspapers and their online counterparts as gatherers of timely information meant to serve readers with a collective trove of interests, concerns and hobbies. Plus, the nature of the news is that it frequently changes, a dynamic process in which new pages of at least presumptive interest get posted all the time.

“A lot of inventory is available for newspaper online publishers,” says Brian Handly, CEO of Accipter Solutions, Inc., based in Raleigh, NC. Also the broad scope of categories — sports, business finance, even the classified section — and the ways in which the user goes to the local level, shows that they are interested in finding these people.”

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What is Behavioral Targeting

Posted by Mort Greenberg on April 11, 2008

Source: http://behavioraltargeting.com

 

Behavioral targeting (BT) is an advertising methodology in which an advertiser’s creative is shown to users based on the sites they visit and/or what the user does on those sites.

The network or publisher creates behavioral segments based on where the user has gone and/or what they have done on various web pages. These are typically broad based descriptions like “Travel Shoppers” or “Auto Enthusiasts”, but they can also be very specific to an advertiser like “Users who put items in their shopping cart, but did not check out”. Another example is a segment based on users who have searched for an advertiser’s company name or product name.

In the paragraphs below, we’ll describe the three primary kinds of Behavioral Targeting and provide simple examples as well.

Type 1 Based on website/web page visited.

This is the most common type of Behavioral Targeting. In this case behavioral segments are developed by aggregating users who have gone to specific web sites that have very targeted content.

For Example: Users who frequent Orbitz.com and Expedia.com or the travel section of USAToday.com would become part of the “Travel Shoppers” segment. Then, these users are re-targeted when they are found on other more general content type sites. This results in an increased reach to users who are in-market for a particular advertiser. See behavioral targeting in action. (pop up window – flash) (HTML only version)

Type 2 Based on keyword searched or content that was read.

This type of Behavioral Targeting develops behavioral segments by finding users who have searched for your product using specific keywords or have read content with specific keywords in it.

These keywords will be similar to the keywords you use for your search campaigns and will net similar increases in performance for a campaign when compared to Run of Network campaigns.

For example, if a user was reading an article about interest rates going up, the BT technology could target the top five keywords that surround the key concept of that page.

Type 3 Based on past visitors to your website.

This is a fairly common type of Behavioral Targeting that creates behavioral segments of users who have visited your web site. This is typically achieved by placing simple codes on your web page. A simple implementation would involve a single code on the home page.

Better results could be found if multiple codes were placed on different pages. By doing this you could create segments for “Home page viewers”, “Product information viewers” and “Shopping cart abandoned”. Based on these segments you could develop and deliver different messages to these three different segments:

    1.   People who have been to your web page, but haven’t read about your products need more overall information about your product or service.
    2.   People who have looked at product pages but haven’t started the purchase process may need more information about your product or an incentive to purchase.
    3.    People who have abandoned their shopping cart actually started a purchase, but didn’t complete that purchase. They may need an incentive to purchase or more information in order to complete the purchase.

The goal is to use BT to let you send the appropriate message to each user based on where they are in your product sales cycle. Using BT to deliver relevant messages to your past website visitors is the most efficient use of your advertising dollars.

Simply put, a consumer visiting your web site is the most powerful behavior that consumer could show you. See retargeting in action. (pop up window – flash) (HTML version)

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Draft 2008 NAI Principles Call for Comments through June 12th, 2008

Posted by Mort Greenberg on April 11, 2008

Source: http://www.networkadvertising.org/networks/principles_comments.asp

The Network Advertising Initiative (NAI) asks for public comment on proposed updates to its NAI Principles self-regulatory standards. Below are links to documents related to this release:

Although NAI members consulted with many business stakeholders during the development of this revised draft, they hope that releasing this document for public comment will garner even broader input.

In addition to global feedback on the document, NAI members hope to also benefit from specific feedback on the following:

  • Which, if any, provisions of this Code could be adapted to other online advertising business models?
  • What verification should be undertaken for a member compliance review and to what extent should third parties be involved in this process?
  • Which emerging technology alternatives to traditional cookie-based opt outs, if any, afford appropriate levels of transparency and user control so that they should be considered compliant with the NAI Code of Conduct?
  • Is a form of verifiable parental consent possible or appropriate in the non-PII context?
  • To what extent will the proposed use limitations relating to restricted, sensitive, and children’s consumer segments serve as a basis for more meaningful self-regulation? Does this framework make sense?
  • How can the NAI consumer website and transparency campaigns in general be more effective?

Comments can be sent by email prior to Thursday, June 12th 2008, to NAI staff at: 2008NAIPrinciplescomments@networkadvertising.org.

Posted in Ad/Behaviroral Targeting, Consumer Behavior | Leave a Comment »

NAI Unveils Revision of Behavioral Targeting Code

Posted by Mort Greenberg on April 11, 2008

Source: http://clickz.com

The Network Advertising Initiative (NAI) unveiled a draft revision of its eight-year-old self-regulatory code today.

The revamped document governs the permissible use of behavioral targeting by the NAI’s ad network members, which include the likes of Yahoo, Google, and AOL/Tacoda. Among other changes, the new guidelines would restrict targeting to some segments and address concerns that the earlier code’s definition of “Online Preference Marketing,” a dated term for behavioral targeting, failed to encapsulate all current uses of the practice.

The revision comes as the Federal Trade Commission works to establish self-regulation rules that apply to all behavioral ad practitioners. Indeed, the NAI yesterday issued its own response to the FTC’s proposed guidelines in conjunction with its member code. The deadline for responses to the FTC’s document is Friday.

The NAI isn’t the only ad industry group to weigh in with the FTC. Yesterday, a group of 12 associations, including the Interactive Advertising Bureau and the U.S. Chamber of Commerce, penned a collective response to the government proposal. Their comments and those of the NAI were similar in substance to earlier remarks by Google and ad agency ZAAZ, covered by ClickZ earlier this week. In short: the FTC guidelines should more clearly define behavioral targeting, and should distinguish between first and third-party advertising.

In a blog post summarizing its concerns, the Association of National Advertisers (ANA), one of the groups behind the letter, said consumers shouldn’t be allowed to opt out of anonymous user data tracking. “What is the potential consumer harm if non-PII (non-personally identifiable information] is transferred to a third party?” wrote Dan Jaffe, ANA executive VP.

But not all groups are so reluctant to accept opt-out mechanisms for non-PII data. In its new industry code, the NAI calls for “centralized access to consumer choice mechanisms” available both on the NAI’s consumer Web site and on the NAI member’s own Web site.

The NAI document also clarifies sections on “sensitive” consumer segments, specifically warning about targeting on traits like ethnicity, age, and pregnancy status. It offers new rules that would require opt-in consent for “restricted” segments and establish a prohibition against creating segments targeting kids under 13. Restricted segments would include those covering certain health conditions, including HIV/AIDS and cancer, as well as on “personal life” information like sexual orientation and crime victim status.

Also noteworthy is the removal of certain terms, most obviously “profile” and “Online Preference Marketing,” from the revamped code.

With the release, Executive Director Trevor Hughes said the NAI has introduced a 45-day public comment period to capture feedback on the proposal. The deadline for industry, advocate, and public responses is June 12.

Regarding the NAI’s comments on the FTC’s principles, Hughes emphasized the group’s broad position that data-driven targeting neither interferes nor invades the consumer experience.

“Marketing is not harm,” he said. “There’s not a harm of intrusion like we had with telemarketing or spam. You’re not getting more ads, but more relevant ads.”

NAI separately announced an expansion of its membership yesterday. Mindset Media, Yahoo-owned BlueLithium, and Media6degrees were granted entry to the organization, bringing the number of members to 15.

Posted in Ad/Behaviroral Targeting, Consumer Behavior, Demos & Audiences | Leave a Comment »

Is Behavioral Targeting Bothersome?

Posted by Mort Greenberg on April 11, 2008

Source: http://emarketer.com

APRIL 11, 2008

A March 2008 Harris Interactive survey found that 59% of US adult Internet users were uncomfortable with Web sites using information about their online activities to target them with ads or content.

Of the 41% who were comfortable, only 7% were very comfortable, while 34% were only somewhat comfortable.

Younger respondents were more accepting of behavioral targeting. Among 18- to-31-year-olds surveyed, 49% were comfortable with the practice, as were 45% of 32- to-43-year-olds. Baby boomers and matures were less accepting, with only 34% and 31% saying they were comfortable.

Better transparency about how Web sites may use their information would help to overcome consumer discomfort.

After the participants were shown a series of potential privacy and security policies, the level of comfort rose among all age groups. Overall, 55% said they were comfortable with the practice after being shown the policies.

 

Posted in Ad/Behaviroral Targeting, eMarketer | Leave a Comment »

Behavioral Advertising Helps Fund Valuable Online Services

Posted by Mort Greenberg on April 11, 2008

Source: http://ana.blogs.com/

April 09, 2008

By Dan Jaffe

Advertising is critical to the economic foundation of the Internet and the vast array of products, services and information that is available in the online world.  The government should not adopt any rigid, overly broad rules on the collection and use of consumer information that would undermine that vital role played by advertising.  The privacy interests of consumers can be best protected by strong industry self-regulation and positive industry leadership.  This leadership is already buttressed by the FTC’s enforcement powers to make sure that companies are fully complying with their privacy promises.

Those were the important messages conveyed to the Federal Trade Commission (FTC) today by ANA and nine other trade associations (the American Advertising Federation; the American Association of Advertising Agencies; the Consumer Bankers Association; the Direct Marketing Association; the Electronic Retailing Association; the Interactive Advertising Bureau; the National Retail Federation; the Retail Industry Leaders Association; and the U.S. Chamber of Commerce).  These groups filed detailed comments on a set of proposed self-regulatory principles for online behavioral advertising that were released for comments by FTC staff last December.  The industry comments are available here.

Online behavioral advertising involves the tracking of a consumer’s online activities in order to deliver targeted advertising to meet that individual consumer’s interests.  The FTC held a two-day town hall meeting last November focusing on the possible privacy issues raised by online behavioral advertising.  On December 20th, the Commission issued a staff draft of self-regulatory principles to govern the practice of online behavioral advertising.  That draft is available at http://www.ftc.gov/opa/2007/12/principles.shtm

Our comments described the critical role that advertising plays as a funding source and economic foundation for the various services that consumers enjoy in the online world – from free e-mail to chat rooms to the rich content of thousands of newspapers and magazines.  The Internet economy is strong and online advertising is a major contributor to fueling its growth.  Our comments noted that in 2007, revenues from online ad spending exceeded $21 billion and online advertising is expected to grow 24% annually through 2011.

Behavioral advertising is just one component of all online marketing but it provides tremendous benefits for both consumers and businesses.  Behavioral advertising makes it possible for consumers to see the right ad at the right time about the right product, rather than simply a series of ads that may be irrelevant to them.  It also provides marketers with a more efficient and effective means of reaching consumers who are most likely interested in their offerings.  This efficiency supports competition and innovation and substantially strengthens the U.S. economy. 

We have serious reservations about some of the proposed principles suggested by the FTC, particularly the notion that consumers should be given the ability to opt-out of anonymous tracking and the collection of non-identifiable information across multiple websites.  Everyone agrees that consumers should have the ability to control the transfer of personally identifiable information to third parties.  Under long-standing privacy self-regulation principles, consumers are provided notice and choices when PII will be transferred to third parties for marketing purposes.  Such choices exist in the guidelines of every major privacy self-regulatory program and are included in the privacy policies of most major commercial websites. 

But what is the potential consumer harm if non-PII information is transferred to a third party?  Providing the same choice or control over non-PII as industry currently does for PII could have serious implications for the architecture of the web and undermine many business models.

We look forward to continued dialogue with the FTC and other groups about online behavioral advertising.  This is a very complex area involving numerous players.   There is clearly a need for more consumer education about how online behavioral advertising works and the tremendous benefits it can provide for them.  We also pledge to continue to evaluate our various self-regulatory privacy programs to make sure they are protecting the legitimate privacy interests of consumers in the online marketplace

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The Offline Benefits of Online Advertising

Posted by Mort Greenberg on April 11, 2008

Source: http://searchenginewatch.com

April 7, 2008

The offline effects of online advertising has been a curious issue in the search engine marketing industry over the years. But according to published reports, new study conducted by comScore is shedding more light on the issue.

The study was conducted on a retailer that does $15 billion in annual revenues. Most of the revenues come from brick and mortar stores. During a three month period, sales increased 50% offline, which coincided with a display and search advertising campaign. Online sales also saw a boost of 40%.

This isn’t the first comScore study looking at offline ROI of online ads. A study from the summer of 2007 showed that consumers who “pre-shop” online spend up to 41% more in-store. Also, 82% of searchers conduct an offline activity to follow up on their query. 61% of them make purchases.

Posted by Nathania Johnson at April 7, 2008 9:27 AM

Posted in Ad Spending, Search Marketing | Leave a Comment »

eMarketer Releases Mobile and Online Advertising Projections

Posted by Mort Greenberg on April 11, 2008

Source: http://searchenginewatch.com

April 10, 2008

If you love advertising projections, then have we got some numbers for you. eMarketer has released new projections for both mobile advertising and online advertising.

This year, US mobile ad spending is expected to reach $1.7 billion, up from $878 million last year. By 2012, it will reach $6.5 billion in the US, but it’s the Asia-Pacific market that’s expected to dominate the mobile landscape by then, with the middle class in China and India making up the bulk of that demographic. Worldwide, mobile ad spending is projected to reach $19 billion by 2012.

Meanwhile, online spending is expected to continue growing, the the rate at which the growth will occur will decline, at least for a few years.

In 2008, eMarketer projects online ad spend to reach $25.9 billion, a 23% increase over 2007 spending. It’s slightly lower than their previous 2008 projection set at $27.5 billion, released in October 2007.

But in 2009, expect to see the growth rate drop to 15.8%, followed by 16.7% in 2010 and 17.1% in 2011. Things start to look robust again in 2012, when a recovered economy is projected to boost the online ad spend up by 24.4% and reaching a whopping $51 billion.

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FCC gives national SMS alert system stamp of approval

Posted by Mort Greenberg on April 11, 2008

Source: http://engadget.com

 

As expected, the FCC today approved plans to roll out a nationwide SMS-based alert system, which is now all but certain to be adopted by all four national carries, and no doubt most regional carriers as well. As CNN reports, under the new plan, the FCC will appoint a federal agency tasked with creating the messages, which will in turn be passed on to participating carriers (which will have ten months to comply with the system once the agency is named). Those messages will be limited to one of three categories of emergencies, including disasters like a terrorist attack, ongoing threats like hurricanes or earthquakes, or child abductions or amber alerts. Also as we had heard before, individuals will be able to opt out of the system if they so desire, and carriers will be required to provide distinct vibration and audio alert options for people with disabilities.

 

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