Off-Topic: Help Stop a Child Abduction

This is totally not SEM-related, but it is worth writing about - if we can make even a small impact on this situation, it would be worth it. I'm hoping that after reading this you'll also want to help and spread the word.

A few years ago, my friend Craig introduced me to a work colleague of his - Paul Wong. I met Paul and his wife Akemi several times - they were both really friendly, good people and I enjoyed spending time with them. Well, Craig left the law firm where he was working and Paul did as well, and I got married, had a kid, moved to Pacifica, etc, etc - long story short, I hadn't heard much about Paul and Akemi for a few years.

Today, however, Craig sent me an email with some really sad news - Akemi died of cancer. And to make matters worse, she had just given birth to a daughter, Kaya. Paul had to raise Kaya on his own. Before Akemi died, she asked Paul to move to Japan with Kaya, so that Kaya could be closer to her maternal relatives and learn about Japanese culture. Paul agreed, quit his job, and prepared to move to Japan.

Prior to moving, he sent Kaya to live with her maternal grandparents in Kyoto. When he finally arrived in Japan, his parents-in-law suddenly decided that they didn't want to give Kaya back to him. As he described this on another blog:

"Once I moved to Tokyo last year, the grandparents did everything possible to keep Kaya away from me. When I said I'm taking her back, they filed a lawsuit against me filled with lies and claimed I had sexually assaulted my daughter. There are no facts and the evidence is completely flimsy."

The blog post continues: "a Japanese court investigator found that the girl was washed and inspected every day after a swimming lesson at her nursery school and her teachers never noticed signs of abuse" and that:

Despite the lack of any substantiating evidence and objective factual evidence establishing the allegations as false, the Family Court in Tokyo recently permanently stripped Paul of his parental rights and awarded his daughter to her maternal grandparents on the the basis that, even if there is no evidence, "normal" people would not make up such a story, therefore "something" must have happened. The Court ignored all evidence establishing the allegations as false, including the findings of its own court investigator; never once mentioning them in its decision.

Paul recently wrote an email to Craig, which Craig forwarded on to me. In it he writes: "through Kaya's case, I have learned that abductions of children in Japan is a rampant problem. No child has every been returned to a foreign parents. Had I known this before, I would have never allowed Kaya to leave my side. The victim in all of this is poor little Kaya. I haven't seen or talked to her for over 10 months now."

I'll be the first to admit that I don't know Paul that well, but I'd like to think that I know him well enough to know that he's stuck in a very unjust situation through no fault of his own. I've already written a friend of mine at Harry Reid's office, and I plan to write Nancy Pelosi's office as well. As Paul writes:

"The only way Japan will change is to shame them with international publicity. This country hates that. They will outlast everyone by dragging things on and on but the one thing they will react to right away is public humiliation. Even the Japanese here say that's the only way if I ever hope to see my daughter again."

So if you have a spare minute today, please help Paul out - write your senator, write a blog, do what you can. As a parent, I can't imagine how terrible this must be for him and I'd feel horrible if I didn't take a few minutes out of my day to try to help.

Why Can't We Apply the Google Algorithm to Every Day Life?

Yesterday I went to the pharmacy to pick up a prescription. I had called the prescription in the day before and all I needed to do was tell the pharmacist my name, pay my co-pay, and leave. In front of me was a man who wasn't quite as prepared for his pharmacy visit as I was. He first asked to pick up a prescription, only to be told that he had shown up too late and the prescription had been canceled. He asked for a refill, and then was told that he would have to call his doctor first. He then asked if he could just pay for the prescription and had to wait to get the full price. Once he heard the full price, he had to ponder whether he really wanted to pay $125. Finally he decided to just come back later. The whole process took about 20 minutes.

One of my biggest pet peeves is sitting in lines. Did you know that the average American will spend five full years of his life waiting in lines? That's one year less than what we spend eating, and 10 times longer than we spend waiting at stoplights! And amazingly, a lot of this waiting is time spent waiting to buy something - to give our money away! As Paco Underhill recounts in his classic book on shopping psychology - Why We Buy - retailers spend millions of dollars a year trying to figure out the exact right placement of products in the store, how to create promotions that attract people to shop, and even what music will drive the most purchases, and yet after all this effort, they leave consumers to wait in long lines at the end of the shopping experience. Indeed, I suspect I am not the only American consumer who has spent a lot of time shopping in a store, chosen some items and then seen the long checkout line and dropped my potential purchases on the spot and headed to the exit.

Waiting in lines is just one of many inefficiencies we have to deal with in everyday life. There's the waiting on-hold when you call customer service (or worse, having to spend five minutes trying to interact with a voice-recognition program and then being transferred to an agent who doesn't have any of the information you just inputted); the oblivious driver going 45 in the left lane of a 65 MPH highway; the disorganization that greets you when boarding an airplane, since the frequent flyers all get on first, sit at the front of the plane, and then crowd the aisles, preventing anyone from sitting down; the fast food restaurant with 15 people working and no one but you in the establishment, but no employees taking any initiative to take your order (yes, I am talking about you - employees of the KFC located on El Camino in South San Francisco!).

The same annoyances once occurred in search engine marketing. In the old days, he who bid the most showed up in first position - even if his product was not relevant to consumers and his ad text gave consumers no reason to click through. Like everyone else, I gamed this system. I used to buy ads for FindLaw that lacked any semblance of a call to action like: "FindLaw: The #1 Online Legal Resource." I figured it was free branding and I definitely drove a lot of impressions on the cheap. But Google changed all that with it's 'yield management' algorithm. The technical (er, Wikipedia) definition of yield management is: "the process of understanding, anticipating and reacting to consumer behaviour in order to maximize revenue or profits from a fixed, perishable resource." In other words, by combining maximum CPC with click-through-rate (CTR) and eventually Quality Score (a somewhat amorphous calculation of relevancy), Google changed the bidding process from 'he who bids the most wins' to 'he who makes the most money for Google wins' (a CPM model that maximizes revenue per 1000 impressions). Add in quality score and what Google is really saying is that the ad with the highest monetization for Google that also meets Google's minimum standards for consumer relevancy wins.

The current model applied to most of our waking life is not one of yield management. Waiting in line at the pharmacy, or on-hold on the phone, or behind a slow person in the left lane - these are all examples of a "first come, first serve" model. There is no consideration of the value each consumer places on their time, nor is there any thought put into the amount of time required to meet each consumers' needs. If you happen to get to the airline counter a split second too late, you may need to wait for 30 minutes behind the confused tourists who want to talk to the manager about why their tickets aren't refundable.

So while Google tries in vain to apply yield management to TV, radio, and print advertising, I wish someone would try to take Google's success in AdWords and apply it to my everyday life. Here's an example of my modest proposal for everyday yield management: When you get to the airport to check-in, you are given an estimated wait time and estimated transaction time - for example, your wait time is 25 minutes and the average transaction time is 5 minutes. If you accept these two variables, you pay nothing for this transaction. If, however, you want to shorten your wait time, you can bid money for this service - you bid the maximum dollar amount you are willing to pay to shorten the wait time; the airline then uses a bid auction to rank order bidders. So if I bid $20 to shorten my time in line, and you bid $15, I pay $15.01 to move in front of you.

But wait - there's more! The next twist to this model is that you also have to bid on the length of your transaction. If you need to book a complex four city flight with long stop-overs and use frequent flyer miles for part of the trip, you need to increase the estimated length of your transaction. So instead of a five minute transaction, you need to bid for a 30 minute transaction. If you under-estimate your transaction by more than 10%, you have to pay overage charges by the minute - this is an incentive to prevent people from gaming the system.

Now you factor in your max bid and your estimated time and you derive a "cost per transaction minute" bid. In other words, if I bid $20 for a 30 minute transaction and you bid $15 for a 5 minute transaction, my cost per transaction is $.66 a minute and your cost per transaction is $3 a minute. Because the airline will make more from serving you first (and because you have placed a higher value on your time), you now win the auction.

The final element of this system designates a "quality score" for each counter agent. Counter agents are measured by the amount of time over or under the estimated transaction times they complete transactions. So if you bid 30 minutes but happen to end up with a customer service agent who is 75% slower than the average agent, you are 'comped' an extra 25% of time. At the end of the month, agents receive bonuses and promotions based on their ranking versus the average time.

The result of this system is that both the airline and the customer are incentivized to serve the most needy customers first, and to serve them in an efficient manner. Customers who are willing to wait a little longer or need a little more help are pushed to the back of the line, while customers in a hurry or who simply can't stand lines pay a little extra to get through more quickly.

By the way, I recognize that such a system would be a regressive tax which inordinately penalizes poorer people more than richer ones, and I suppose if you really wanted to get sophisticated, you could find a way to factor in income to the equation, but for the time being, this is just an example, so give me a break!

My point, though, is that Google has taught me that there has got to be a better way to create efficiency than the 'first come first serve' world we currently live in. Happy customers, happy retailers, better customer service - let's Googlize the world now!

Choosing the Right Search Engines - Part One of a Seven Part Series

Several months ago I wrote an overview of the seven most important aspects of SEM to master. At the time, I promised I would quickly follow up with details on each of these habits. Well, the definition of “quickly” is in the eyes of the writer, so here I am 60 days later ready to expand upon each topic area!

The habit I’ll discuss today is “Choosing the Right Search Engines.” A lot of people erroneously believe that the answer to the ‘right’ search engines is either “just Google” or “just Google, Yahoo, and MSN.” Both of these are generalizations that shouldn’t be followed blindly.
As I see it, there are four considerations that factor into your choice of search engines - quantity, quality, ROI, and audience. Let’s look at each of these individually:

Quantity: For most search marketers, there’s no such thing as “too much traffic” (well, assuming this is quality traffic, see next point). Because SEM is such an ROI-driven field, once you discover keywords that work for your campaign, you want to grab as many clicks from these keywords as you can. Thus, identifying the search engines that can drive the most quantity for your campaigns is important.

Quantity is also important because as you increase the number of search engines with which you are working, you also increase the complexity of your SEM campaign and the amount of time required to manage your business. Thus, at some point you reach a point of diminishing returns as you add more and more search engines with lower and lower traffic volume; if you need to spend an hour a week to get an extra 10 clicks, it’s doubtful that this investment is worth your time, even if these are killer clicks.

It goes without saying that the biggest quantity opportunity is on Google, followed in a distance second place by Yahoo Search Marketing, then MSN AdCenter, and finally Ask. There are of course plenty of other options to consider (7Search, Miva, Mamma, Findology, Enhance, etc), but if you have limited time and want to maximize the quantity of clicks you can drive, start with Google and work your way down the list slowly.

Quality: Clicks for the sake of clicks is only an effective strategy if your goal is to file bankruptcy as quickly as possible. You need clicks that convert into customers, or whatever your business metrics are. As with quantity, when it comes to quality, all search engines are not created equal. There are really two factors that go into click quality - where the search engine gets it’s traffic and what tools the search engine provides search marketers to filter the traffic they receive.

A search engine like Google or Yahoo gets all of its traffic from searchers who are loyal users of the search engine (we are talking about search traffic here, not content network traffic). These are pretty much the highest quality users you can find, because they have not been incentivized to visit the search engine, nor are they tricked into thinking that a paid link is an organic link. By contrast, some of the second tier search engines will pull out all the stops to get clicks for their advertisers. This can include placing your ads on parked domains (which Google does as well), in pop-ups, or embedded in articles to make the ad appear like content.

If you are getting pitched by a search engine you’ve never heard of before, you can be fairly confident that they are doing something strange to get clicks to your site. Be especially wary if the account rep claims billions of clicks a month from ‘distribution relationships’ or ‘people downloading our toolbar’ or something else rather vague. The odds are that this traffic is going to have low quality.

The second factor to consider is whether you can stem the tide of bad traffic on a search engine. Google has led the way at giving search marketers tools to cut out bad traffic. This includes features like negative keywords, match types, geo-targeting, day-parting, IP exclusion, site exclusion, demographic targeting, and category exclusion. If you know what you are doing on Google, you can quickly eliminate any click that doesn’t meet your conversion metrics.

Most second tier search engines don’t offer any of these tools. You are left at the whim of their claims of “industry leading click fraud prevention.” Of course, you can still get around low click quality on search engines by simply adjusting your bids downward until you hit your metrics. Just keep in mind the point I made above about diminishing returns - to play effectively in multiple search engines, you need to be able to pay attention to all of your search engines all the time. An unwatched search engine is an unprofitable search engine. If you are playing on search engines with questionable quality, even a few days away from your reports could cost you thousands of dollars.

ROI: At the end of the day, quality and quantity matter little if your campaign isn’t making you money! Though I recommend that you start with Google and do everything you can do make it profitable, sometimes this isn’t possible. Google is the most ‘efficient market’ out there when it comes to search marketing simply because all your competition will be advertising on Google. As a result, you may discover that despite your best efforts, you simply can’t make a profit on Google. If you have a revenue per click (RPC) of $2 and ten other competitors have RPCs between $3 and $25, you aren’t going to be able to profitably show up on the first page of the Google results.

As a result, you need to work harder to ferret out profitable opportunities on other search engines. This may be a case where there is value to mining the second tier search engines for nuggets of gold. If you can cobble together five search engines and drive profit without heavy traffic from Google, that’s a worthwhile exercise.
On the other hand, if you are successful already on Google, you should consider whether your overall ROI would increase more from further Google optimization as opposed to trying out lots and lots of search engines. I believe that until you have done everything you can on Google, spending a lot of time on alternative engines will not be ROI positive.

Audience: Different search engines have different audiences. While you probably won’t notice a huge difference in user behavior amongst the big boys of search, there are definitely search engines out there that cater to different audiences. A great example of this is vertical search engines, such as IndustryBrains, Business.com, Quigo AdSonar, FindLaw or WebMD. If you are trying to reach B2B buyers, you may find that you can grab a lot of these people through vertical search engines. In some cases, the conversion rate on these targeted engines can be significantly higher than what you’d find on a Google or Yahoo.

And as it becomes more and more clear that the search engine world is now “Google and everyone else”, you may start to even see some of the big engines starting to position themselves around specific demographic groups. Ask, for example, has been rumored to be considering rebranding itself as a search engine for women. Anecdotally, I have been told by other search marketers that they do notice significant differences in user behavior on MSN or Yahoo as compared to Google. While I can’t say that I’ve noticed this myself, certain audiences probably do have different search engine preferences.

Conclusion: Beyond recommending you perfect Google first and then move on to other search engines, I’ve tried to avoid giving specific recommendations for which search engines to use and to not use. I’ve done this because there is no one solution that will work for every search marketing campaign. Before I was an SEM consultant, I worked at a company where we routinely drove $100,000 a month of profit from a second tier search engine. When I recommended this site to a friend in a different industry, he was sorely disappointed - he couldn’t get any conversions out of the site.

Ultimately, you need to know how to ask the right questions about a search engine, allocate your time appropriately, and be willing to run a lot of quick and dirty tests on different search engines to find the right search engines for your business. And remember, this is just one of the seven sacred steps - just because you’ve found the right search engine, you’re work is not done. Stay tuned for part II of this series - choosing the right keywords - coming soon to a blog near you!

Search Engine Marketing is Not Alchemy (And Don't Trust Anyone Who Tells You Otherwise)



While it's always flattering to be introduced as a "search engine guru" or something to that effect, there's a dark side to such praise. To the majority of people in the world, search engine marketing is about as understandable as nuclear physics. Even when talking to Internet marketers in non-SEM fields, it's sometimes difficult to explain the nuances of search engine marketing.

To be clear, I do believe that anyone can learn SEM - it is not rocket science (or nuclear physics). But as I have said many times, SEM is 'easy to do, hard to do well.' I've personally seen many, many smart people try to launch their own SEM campaigns and fail miserably. So after sinking a few grand into Google's coffers, they finally hire an SEM expert to optimize their campaigns.

Sometimes, this is the smartest decision in the world. Many campaigns executed by non-experts have fundamental flaws in their organization, bid strategy, and keyword selection. In a matter of hours, I've made several companies more than $100,000 a year (a combination of cost savings and additional profit) by applying basic best practices to their campaigns.

But this is where people get a little confused. They hear stories like the one I just described and assume that search marketers have secret powers that are only conferred at midnight ceremonies behind the Google cafeteria. While it is true that I do have some special powers (I am color blind so I can see some colors than normal people cannot), the truth is that a search marketer can only work with the clay he is given.

This means that if your Web site is poorly designed, if your back-end economics are terrible, if you have been blacklisted by Google, or if no one happens to search for your product, there is a little a search marketer can do. I run into potential clients all the time who don't want to hear the bad news that the 'problem isn't your search marketing campaign, it's your [site/economics/product/etc].' They want to believe that the magical SEM fairies will descend from the heavens and turn their flailing business into the next Amazon.com.

This belief in the magic of SEM has created an opportunity for less-than-on-the-level search marketers to start making a lot of money selling what my friend Saar calls 'hope certificates.' For only two or three thousand dollars (upfront, of course), they'll promise you miraculous results on Google. Once the deal is signed and the check deposited, they'll definitely do some work on your campaigns, but the results will inevitably be less than magical. When you complain about this, only then will they explain that your site was not properly optimized/you were outbid/etc. By then, they've moved on to the next victim.

This bait and switch tactic has taken place for years in other industries. About five years ago a friend of mine was trying to raise VC money for his start-up. He got a call from a guy who said he knew several VCs interested in his company, and he just needed a few thousand dollars to connect him to these investors. Once the money was in hand, it turns out the investors weren't that interested, or most likely didn't even exist.

As the world becomes run by specialists, the average man on the street understands less and less about any specialization in which they aren't actively involved. Most of us take at face value the advice of a plumber, auto mechanic, or other specialized service provider. The difference between SEM and your local home contractor, however, is that no one expects miracles out of a home contractor. We all know that our 982 square foot condo is not going to be transformed into the Playboy Mansion. The same in not true for our online businesses. Entrepreneurs are almost always optimists who believe they are just a few clicks away from going public. As search marketers, we have an obligation to be honest - upfront - about the likelihood of success of any SEM campaign. SEM is hard work and it is complicated, but we've yet to figure out how to turn frogs into princes.

What's Better Than a Database of Intentions? Actual Intent. How Social Media Advertising Out-Targeted Search Engine Marketing

John Battelle described search engines as the "databases of intentions" - when a user enters a query into a search engine, that user is telling the search engine something about his wants and needs. Indeed, the entire point of a search engine algorithm is to decipher this user intent and serve up the most relevant results (and, of course, to stymie search engine optimizers at the same time).

You would think that a database of intentions would be the ultimate targeting opportunity for marketers, and - until recently - I would argue that this was indeed the case. The problem, however, with this database, is that it is an inferred database. Sure, we can infer that a user typing in "male pattern baldness" is a man who is balding, and in most cases we'll probably be right. But what of the person who types in "mortgage" - is he (or she) looking to get mortgage quotes, learn about the current housing crisis, do academic research, get a job in the mortgage industry, pay their existing mortgage, or something else entirely? And then there are words like "laker" which could be about the Los Angeles Lakers, Lake Trout, or someone with the last name "Laker."

As search marketers, we end up doing a lot of inferring. Often the difference between a successful and unsuccessful campaign rests on our ability to correct determine which keywords have the right inference for our campaigns. Since every search marketer is playing the same game, the result is that keywords with clear inference tend to receive much more advertising competition than keywords without. This is the difference between buying the keyword "Miley Cyrus" and "Buy Miley Cyrus CD."

Wouldn't it be great if users could tell us more about themselves? Their interests, their demographics, their personal history? To some degree, this information is available through behavioral targeting, or from user registration information on portals like Yahoo. But the behavioral targeting to date has only been broadly applied - you can choose a particular age range (18-35), or a particular geography, or sex, but none of this really presents an opportunity for personalized marketing.

Advertising on social media can, and likely will, provide the first opportunity for truly one-to-one marketing. The beauty of social media (at least right now) is that users have an incentive to provide lots of honest information about themselves. Think about your profile on FaceBook. You add your educational background, your interests, or relationship status, your current employer, and so on. You do this because you want to connect with old friends or meet new people like you. Indeed, the fact that your friends will see your profile is a further incentive to be honest since any wanton lies would be seen by people who know that you are lying.

This is much more valuable information than the behavioral targeting that can be gleaned from a user profile on Yahoo or from user-entered registration data on non-social networks. It's commonly accepted that users who are forced to fill in personal data purposely lie about their demographics. As one columnist put it: "Users lie to protect their privacy, they lie to protect their identity, they lie because they think their data will be misused or shared with third parties, or they lie because opt-in/out policies are misleading or mistrusted."

But at least for now, most social media users don't lie. The result is a goldmine of not just inferences of user intent, but user-defined extensive descriptions of their intent. And this presents the first opportunity for marketers to truly create micro-behaviorally targeted campaigns.

Here's an example of the micro-targeting currently available on FaceBook. Let's say I want to sell Iowa Hawkeye football tickets to football fans in Iowa. And for whatever reason, let's say that I want to upsell these users on a dating site. Check out the targeting FaceBook offers for this unique and granular user set:
80 people are in my target group - now that's a narrowly tailored audience. Granted, this targeting excludes people on FaceBook who have not fully filled out their profiles, but you can only assume that over time the percentage of people who complete their profiles will only increase.

Much of this targeting can be done on Google - you can buy the exact match "Iowa Hawkeye Football Tickets" and geo-target your ad to Iowa only. But the ability to serve this ad only to Iowa graduates who are men, etc, etc is not - and likely will not - be available in Google for some time to come. Indeed, I recently pointed out just how bad the demographic data currently available in AdWords really is in a recent post.

Of course, the flip side to this entire argument is that we are currently at a point in the development of social media where users still trust the social media networks and advertisers haven't truly embraced advertising on this medium. As a result, users are still honest about their personal data. At some point - perhaps soon - the scales may start to tip; once users realize that their personal information is being used by advertisers, their honesty may diminish or - as has already happened several times on FaceBook - they may revolt against the use of their personal data.

I believe, however, that despite some very public missteps in the user of personal data, the social media companies still have the chance to use this data in a way that satisfies privacy advocates but also provides the most targeted advertising available anywhere online. Who needs a database of inferred intentions anyway?

Upcoming Speaking Gigs and a Contest

I'm making a concerted effort to step away from the computer and actually start speaking at conferences and forums. To that end, I've got one (potentially two) interesting speaking gigs coming up in the next 30 days that I encourage all loyal Blogation readers to attend. You'll get to meet me in person and hear my sage SEM wisdom live!

Speaking Gig #1 is SMX Advanced on June 3-4 in Seattle. I'll be speaking on June 4th on the topic of bid management, an issue near and dear to my heart. I don't know who else is going to be presenting, but since this is an advanced conference, I'm planning on getting deep into the different bid management algorithms out there, as well as concrete ROI metrics upon which you should judge your bid management provider.

I'll also expand upon the points I've made about bid management in the past, as well as my over-arching theory that bid management is just one of several things you need to do to be successful at SEM.

Click the banner below to register, learn more, practicing your clicking, etc:



Potential Speaking Gig #2 is at the PPCSummit in San Francisco on May 19-2o. It sounds like there is about a 50/50 chance that I'll end up presenting at this one, but perhaps a sudden and overwhelming wave of registrations from Blogation readers will launch me to the keynote address (not holding my breath on that one). In general PPCSummit is a broader conference than SMX, with sessions for both beginners and advanced. Use the link above and you'll save $200 off the regular price (note, I'm not getting any commission from the link . . . though I should!).

They've also launched a social media/link bait contest which could be a way for one of you to get a free pass to the event. To win a free pass, you need to answer the following two questions: What Increased Your Search Marketing ROI Last Year? What one thing could you point to and say "THAT made the difference!" If you feel that you have an awe-inspiring answer, submit it here.

Got a conference or forum that you needs the Blogation touch? Contact me through this blog, or through my consulting firm, ppcadbuying.com.

Congratulations to Javier Andres Castro Pino - LinkedIn Group Spammer of the Year!

In my last few months as a group administrator for several LinkedIn groups, I've had my share of recruiters/networks/lonely people who have tried to infiltrate my highly targeted groups. You can read my extensive diatribe against LinkedIn group joiners here. And though I promised loyal readers that I wouldn't revisit this subject again, Javier Andres Castro Pino has forced me to break my promise.

You see, when Javier requested membership in the Online Lead Generation group, I naturally had to review his LinkedIn profile to make sure he was actually involved in online lead gen, and when it took my computer more than two minutes to load all his existing group memberships, I knew that I had finally discovered the ultimate LinkedIn group spammer.

After downloading his group memberships to Excel and then sorting them alphabetically, I was amazed to see that Javier had already joined over 1500 groups! Now I could just tell you about the groups that I thought were most amusing ("Friends of Darfur", but also "Friends of China" and "Friends of Tibet"), but I thought that the best way to truly give you the Javier experience was to simply list all of his groups for you and let you have the pleasure of perusing them yourself.

And in case you are wondering, Javier was rejected from the online lead gen group - somehow I don't think he'll notice. Here's the list:

--------- Popular Destination -------- Tourism/Hospitality/Wellness/Retail Web 3.0 Experiences
------- Web 3.0 Restaurants Experiences ------- (Now featuring: Left Bank Restaurants)
"NAMASTE"
"We Find You" Sourcing Strategy
.Net Developers Group
280 Group
401(k) Plan Participants
6 Degrees of Separation
A Children's Museum in Every Town
A Golf & Business Networking Group: FORE Networking
A Solo Business - Solopreneurs And Business Owners
A World Citizen Program - web 2.0 project
A World Wide Network
AACC
AAdvantage Executive Platinum Multi-Million Milers
AARP
Accounting Network
Actors and Casting Directors
ADCOLOR™
Ads of the World
AdTech (online advertising)
Advanced Innovation Methods (AIM)
Advanced Project Management Topics
Advertising & Promotional Merchandise
Advertising Professional
AFFILIATED AUTHORS
Aficionados of Classical Music
Africa - All Things Business
After the Invite
Agile Project Managers
Agilistas
AIESECAlumni
AIIM ECM (Enterprise Content Management) Network
AIMBA - Albo Italiano MBA
Alaska
Alfa Romeo Italy
ALOYN: Alimentación, ocio y negocios
ALTERNATIVE ENERGY NETWORK
Amateur Astronomers
Ambitious People
American Advertising Federation
American Cancer Society Supporter
American Heart Association
American ITIL
American Red Cross
American Society for Quality
Americans for American Energy
Amigos de Argentina / Friends of Argentina
amigos de Mexico
Anaheim Friends
AnalysisConnections
Anderson Gray Worldwide
Angel Investor Group
Angel Investors
Animation, Media & Entertainment
Anthony Robbins Group
Apple Professional
Are-You-MAD?
Argentina Business
Argentina-USA Leadership Connection
Arizona Professional Networkers
Art marketing
Aruban business professionals
Asia NetWork
Asia Trainer Forum
Asian Hedge Funds Group
Asociación Argentina de Marketing
Association for Manufacturing Excellence
Association Forum Network
Association of Information Technology Professionals
Association of Virtual Worlds
ASSODIGITALE - www.assodigitale.it -
Aston Martin owners and enthusiats
ATCA Open
Atlanta Help Wanted
Atlanta Maritime Association
Audi Owners and Enthusiasts
Australasian Talent Conference
Australia Business and Professional Network
Australia NetWork
Australian LIONs
Austria Business and Professional Network
Aviation Professionals
AWA - Advanced Web Analytics
Ayn Rand Readers
Baker University MBA Group
Balkan Business Projects
Balkan Business Systems
Bandhuwar-The Best Friends
Bank of CHINA
Banking Connects
Barcelona Professionals
Barrons's Network
Basel ii Compliance Professionals Association
Basho Technologies
BDPA
Be Financially Independent
BeautifulPeople.net
BeeMood
Bentley Alumni
BigCharts.com Users
Biofuel
Biofuels
biz BOSNIA and HERZEGOVINA
biz BULGARIA
biz CROATIA
biz CZECH
biz ESTONIA
biz GEORGIA
biz HUNGARY
biz LATVIA
biz LITHUANIA
biz MACEDONIA
biz MONTENEGRO
biz POLAND
biz ROMANIA
biz RUSSIA
biz SERBIA
biz SLOVENIA
biz TURKEY
biz UKRAINE
BizBash- Event Planners Gather
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