Video:

The videos from the actual lecture didn’t come out to well (you can see them here and here).  Below is the same session I gave to our team internally:

Slides:

Course Outline:

Prior Reading:

• Put Ad on Web. Count Clicks. Revise.
• India Digital Outlook Report 2009
• Ads Follow Web Users, and Get More Personal
• Introduction to Google Adwords (video – 15min)

Introduction
iTunes Case Study – You are the marketing manager responsible for launching the iTunes Store in India
- What are your objectives?
- How do you go about achieving those objectives?
Goals:
- Discuss branding vs. performance objectives
- Discuss differences between online and offline marketing (targeting, measurement, reach)
- Discuss the marketing funnel (Awareness, Consideration, Conversion, Loyalty, Advocacy)
- Review options for online advertising in relationship to the funnel
Review terminology:
- Impression, CPM, CPC, CPA/L/S, Goal, Conversion, CTR

Methods of Online Advertising
Search Engine Marketing (SEM) – Google Adwords Example
- How does Google determine which ads to display to users? Keyword, bid, location, quality score / relevance (clickthrough)
- Why are the bulk of most ad budgets allocated to SEM http://mashable.com/2009/07/08/social-media-marketing-growth/#mb – intent
Ads on Social Networks – Facebook Ads
- Targeting based on demographics
Ad networks – Right Media Exchange
- What is the advantage of purchasing an ad on an network rather then directly on a site itself – Non-premium, performance based, auction, reach
Affiliate Sales – Amazon
- Description of the affiliate model
Email Marketing – Email Brain
- Review analytics for email marketing
- Discuss limitations on reach

Revisit iTunes Case Study
How can you determine effectiveness of online marketing campaigns?
- Demonstrate eCPM / eCPA calcualtions
- Link online marketing metrics to sales

Ask students to come up with a marketing plan
- Split class into branding vs. performance
- Determine goals and budget allocation based on historical results

Measurement and Course Correction
Demonstrate Google Analytics
- Show ecommerce analytics
- Glean insights, create hypothesis based on analytics data (i.e. per visit value of certain states are high, let’s see if additional marketing – online or offline – will help us generate more sale with less spend)
Course Correction
- 3 slides for creative, source and keyword performance
- Discuss actively managing campaigns and getting rid of underperforming ads, sources, keywords

Related posts:

1. Why Would Anyone Advertise Online Without Google/Facebook?
2. Advertising Is Not a Sustainable Business Model for the Web (unless you are a Search Engine)
3. Slides from Social Media Training Sessions

• The number of sources indexed – Twitter, Technorati, Youtube, etc…
• The number of results
• The quality of results – How many are actually about my search term vs. spam
• Sentiment Analysis – Are the mentions positive?  Do people hate me?  I wanna know…
• Trend Analysis – Can I see spikes and ebbs in mentions?  What about by locations?
• RSS – Can I get an RSS feed of this (this is critical for real use)
• Email Alerts – Can I get a weekly report emailed?  Can I get an email of mentions a day increase above a certain threshold (or dip)?
• Widgets – Can I display all public mentions on my site?

Below is a brief comparison and analysis on my findings of the free services (a post on paid services will be coming soon)

Yahoo! Pipes

My initial plan was to use Yahoo! Pipes to create an RSS feed of mentions across the major sites (Twitter, Google Alerts, Google Blogsearch, Technorati and Youtube). I was pleasantly surprised to find many people had the same idea and extended it far beyond the major sites to include: Backtype, Techmeme, Boardtracker, WordPress and many others. Sweet! I ran the seemingly most popular version for the term “codechef” (one of the projects I work on) and was quite disappointed with the results. Only 33 results? Where are the tweets? Aright, time to investigate. I fired up the Yahoo! Pipes editor and was immediately regretting it:

Er… Ok.  While in theory Yahoo! Pipes looked like the perfect tool for this, trying to extend or modify a pipe isn’t very easy. Also you are passing query parameters dynamically in the URL, if they underlying site makes a change, you won’t get results and might never know.  Rather then trying to develop and maintain this myself, I realized there must be a lot of other people who want to do this.

SocialMention

SocialMeniton is the best tool I came across.  It indexed all the sources I expected (plus some I didn’t), gave the best results (in terms of both quality and quantity), provided tools for aggregation and analysis and had a really cool widget:

You can filter based on source (blogs, photos, videos, forums, etc…), sentiment (view only negative mentions), keywords, users, etc…  Super cool.  Also the analytics, number of retweets, authors, last mention, average time between mentions is awesome.  It’d be nice if the photos were shown as thumbnails in the full list of results (they are when you click on photos), but that’s a small thing.

Here’s a embed of their real-time widget for everyone’s favorite rapper (mesmerizing):

Collecta

Collecta was better then most but still lacking critical features to be considered seriously. It displays search results in a Twitter style stream (and also shows thumbnails of images). Also gives a nice preview of blog posts and articles:

Though without an RSS feed of results or tools for aggregation and analysis, this isn’t likely to be useful.

WhosTalkin

The last app I came across worth mentioning is WhosTalkin. Although this tool is also lacking RSS feeds and analysis, the site is fast and friendly. It’s easy to filter across results and is nice for a one-time search:

Conclusion

Currently it seems like SocialMention is far ahead of it’s competitors though this field is rapidly evolving and new players come in daily. Here is a summary of the tools described above:

	Yahoo! Pipes	SocialMention	Collecta	Whostalkin
Sources Indexed	As many as you want to configure (most popular “firehouse” has 40)	80+	Not mentioned, though I saw all the big guns	50+
Number of Results	33	124	45	130
Quality of Results	No spam	No spam	No spam	10% Spam
Sentiment Analysis	No	Yes	No	No
Trend Anlysis	No	Not really	No	No
RSS Feeds	Yes	Yes	No	Coming Soon
Email Alerts	Real-time and daily	Daily	Nope	Nope
Widgets	No	Yes	No	No

Next week I have demo’s of a few of the paid tools, to see what they can do, that we can’t do on our own. Know of any tools I missed? Have a different opinion? Let me know…

Related posts:

1. Measuring the Success of Social Media Campaigns
2. Slides from Social Media Training Sessions
3. B2B Social Media Marketing

• Reach – create buzz, get new customers, create awareness
• Reputation and influence – become an authority/thought leader, improve sentiment
• Engagement – improve customer and brand loyalty

But how do you determine if your campaign is successful? First you need to determine your objective. If you have a new product launch, you probably want to build some buzz and create awareness (Reach). If you have added new features to your product, you will want to measure it’s effect on user engagement/loyalty. If your goal is to increase your influence and reputation, you can start aggregating content or create your own (via a corporate blog for instance).

This is a rapidly evolving field and the tools and metrics used to determine success are changing quickly. Don’t be afraid to throw away metrics, the most important thing is that you start tracking. Below I list some methods for objectively measuring your success.

Measuring Reach

• Visitors – The number of people visiting your site and the source of that traffic. This can be measured using standard web analytics tools like Google Analytics. If you want to benchmark against peers/competitors use tools like Compete/Alexa.
• Number of Friends/Followers/Fans (applies to Facebook, SlideShare, etc…) – I don’t believe Twitter followers is a good metric to measure since there is a lot of spam. Much more important is quality of visitors (i.e. one Oprah or Michael Arrington is much more valuable then 1000 followers). Measuring 2nd degree relationships (number of friends of friends), is much more valuable (albeit more difficult to measure).
• RSS Subscriptions – Feedburner
• Links – When sharing links, you can use tools like bit.ly to determine how many people have clicked on it. Just add a + to the end of any bit.ly link (check out my self-referential example: http://bit.ly/16GZ6x+).

Measuring Reputation and Influence

• Number of public mentions (Blogs, Twitter, Facebook) – To measure public mentions on blogs you can subscribe to an RSS feed for your company/product/brand/name on Google Blog Search. For public mentions on Twitter subscribe to an RSS feed from Twitter Search. For Facebook, use Lexicon (this is more interesting as a tool to compare against your competitors, though they are undoubtedly improving this tool and I’m sure will add a y-axis soon).
• Incoming links (SEO) – This is the primary way Google measures the authority of pages when ranking search results. Use tools like Google Webmaster Tools, Xinu Returns and Technorati to track these.
• Comments about you on other sites – Since Google doesn’t index comments on blogs (most often), you can find out using tools like BackType.
• Retweets – Twitter Search
• Unsolicited positive mentions – I love this metric, there’s not much you can do to actively improve this, but if you are tracking it and are open, transparent and engaging your users properly, people will speak positively about you.

Measuring Engagement
You can use standard web analytics tools (Google Analytics) to measure:

• Visitor Loyalty – The number of return visitors over 1 month
• Recency – The number of return visitors over 1 week
• Duration – The length of time spent on the site
• Actions – The number of actions taken on the site: downloading, posting, commenting, playing, etc…

The absolute numbers are not important. Track these numbers month over month and look for an upwards trends.

Off-site engagement metrics include:

• Facebook – You can use FB insights to measure the number of actions on your fan page: comments, likes, wall posts, etc…
• YouTube – Youtube has it’s own analytics for measuring video plays.
• Trendrr – Trendrr is an awesome tool which let’s you measure public mentions and music/video plays across a variety of sites.

In short there is no easy way to measure your success across social media. Sure there are short cuts like Twitalyzer, which is nice for at a glance metrics, but if you have the time coming up with your own set of metrics is far more valuable. This all assumes that your brand is small enough that you don’t get thousands of public mentions a day. If you do, you’ll have to call in one of the big boys like Visible Technologies or Sentiment Metrics.

Anything I missed? Anything else you track? Let me know on Twitter or in the comments…

Related posts:

1. Slides from Social Media Training Sessions
2. Comparison of Free Social Media Monitoring Tools
3. B2B Social Media Marketing

Part 1: Introduction to Social Media

Part 2: Twitter, Facebook and Social Data Portability

Recommended prior reading:

• Razorfish Consumer Experience Report – Meet the Connected Consumer, Advertising as a Service, How Micro-Interactions Are Changing the Way We Communicate Online, How Tiny Applications Are Remaking the Future of the Web (approx 30 pages)
• Brave New World of Digital Intimacy – NYTimes (approx 8 pages)

The video on the second slide is:

Part 3: Introduction to Online Advertising

Recommended prior reading:

• Put Ad on Web. Count Clicks. Revise. – NYTimes (2 pages)
• Connect the Thoughts – Adweek (3 pages)

Agenda:

• Overview of buying/selling models
• How to compare different models (with examples)
• Intro to Google Adwords
• Intro to purchasing ads on Social Networks (FB/LinkedIn)
• Future of online advertising (social ads)

Note: My collegues did this talk, I will get the slides eventually and post

Part 4: Introduction to Analytics and Measuring Marketing ROI

Recommended prior reading:

• Razorfish – Digital Outlook Report ’09 (Social Influence Measurement – p 137 – 143)

As a course, I would structure this a bit differently, and some of the issues glossed over would receive their own dedicated section. For a longer course I would also include topics like Monetization Strategies for the Web, Data Driven decision making using Analytics (A/B Testing, Optimizing landing pages, SEO), The Future (Convergence, Social Ads, The Importance of Real-Time, The concept of life streaming). Any thoughts? I will flesh out a course outline and post some notes online soon…

Related posts:

1. Advertising Is Not a Sustainable Business Model for the Web (unless you are a Search Engine)
2. B2B Social Media Marketing
3. The Transition to Real-Time, Social Search

Over the last few months I’ve seen a growing number of companies offering alternative strategies to generating revenue.

Subscription Services / Premium Content (Blizzard, New York Times, GigaOM, Forrester)

The most straightforward revenue source is paid subscriptions. Blizzard, makers of World of Warcraft, absolutely crush it.

“if [their] 10 million subscribers were to pay the regular $14.99 month-to-month fee, then Blizzard would fill its pockets with almost $150 million every single month… that means a revenue-target of more than $1.7 billion for FY 2008.”

While many media companies have experimented with paid subscription models, very few have been able to do it successfully.  The exception is research focused companies like Forrester which banks on corporates with deep pockets shelling out $700 for a 12 page report.  GigaOM and TechCrunch have also recently launched similar premium research and analysis services.

The New York Times recently released it’s TimesReader 2.0 Adobe Air client. While the client offers an improved user experience, I can’t ever imagine shelling out $3.45 a week for content I can get for free.  Though I would pay for their $3 iPhone app.

It’s possible that with the success of the Kindle, these paid content services will flourish in the future.

Freemium (Wetpaint, Pandora, Google Apps)

A variation on premium content services is the freemium model. Give away 80% of your service for free, and charge for heavy users who want more functionality or a better experience. Pandora, a music discovery product, recently launched a premium services which, for $36 a year, removes ads, provides higher quality streaming music and offers a desktop app.  A compelling offering for their top tier of users.

Wetpaint is another company that has found success through the freemium model:

“When Ben Elowitz formed Wetpaint in 2005, it was intended to let anyone create a Web site free… Wetpaint typically offers advertisers space on a few Web sites with a few hundred thousand visitors. But last fall, many of their advertisers raised their sights to publishers with more than five million readers, Mr. Elowitz said. Rates for leftover ad space fell to 25 cents per thousand views from $1… Now, Wetpaint charges its big company customers, like HBO and Fox, a fee in exchange for providing extra services like site promotion and moderating reader forums… Smaller customers can pay to keep their sites free of ads. Wetpaint plans to add more paid services, including additional storage for big files and personalized domain names. It is also considering selling virtual goods on its sites. “

Finally Google Apps is another nice example of successfully upselling premium services. The communication and collaboration platform is free for up to 50 users, but for $50 per user per year you get access to a whole range of services including: additional storage space, email security and archiving, video sharing, phone support and access to API’s.

App Stores (Apple, Nokia, Blackberry, Google Android)

It’s tough to argue against the game-changing success of the Apple App Store.  Rival companies like Google, Nokia and Blackberry have launched their own stores (the Android Market, Ovi store and Blackberry App World respectively).  A cursory glance on the Blackberry store only showed about 20 apps, and none of them were paid.  While they won’t be competitive with Apple (at least for some time), it’s at least showing that this model is profitable and worth pursuing.  I’m sure this is now central to how mobile handset makers and software developers plan on monetizing phones.

Interestingly this model is now being extended beyond just phones (and why not!).  According to the Sun CEO, Jonathan Schwartz:

“Vector is a network service to connect companies of all sizes and types to the roughly one billion Java users all over the world. Vector (which we’ll likely rename the Java Store), has the potential to deliver the world’s largest audience to developers and businesses leveraging Java and JavaFX.

Our runtimes reach more consumers than just about any other company on earth. That ubiquity has obvious value to search companies, but it’s also quite valuable to banks looking to sign up new accounts, sports franchises looking for new viewers, media companies and news organizations looking for new subscribers – basically, any Java developer looking to escape the browser to reach a billion or so consumers.

How will it work? Candidate applications will be submitted via a simple web site, evaluated by Sun for safety and content, then presented under free or fee terms to the broad Java audience via our update mechanism. Over time, developers will bid for position on our storefront, and the relationships won’t be exclusive (as they have been for search). As with other app stores, Sun will charge for distribution – but unlike other app stores, whose audiences are tiny, measured in the millions or tens of millions, ours will have what we estimate to be approximately a billion users. That’s clearly a lot of traffic, and will position the Java App Store as having just about the world’s largest audience. “

I believe that a paid app store is also a viable business model for social sites like Facebook, LinkedIn and Twitter.

Microtransaction (Tencent, Zygna, Facebook)

Tencent, the largest Chinese social network, focuses on microtransactions as their primary revenue source.  Users pay for subscriptions, virtual clothes for your avatar, new weapons, cute pets, etc… From their ’09 first quarter results:

Internet services (digital goods, game subscriptions, micro-transactions) – $279.9 mil (76% of total revenues)
Mobile Subscriptions – $64.5 (17.6% of total revenue)
Online Advertising – $21 mil (5.9% of total revenues)

Online advertising only 5.9% of their total $350mil revenues?  Impressive.

Another company successfully generating revenues from social gaming microtransactions is Zygna.  According to TechCrunch:

“Zynga, the online gaming publisher, is making a ton of money… [close] to $100 million. And clearly, it’s accelerating… There looks to be a bright future in the online gaming sphere and specifically around micro-transactions. That’s how Zynga makes most of its money. With some of its leading games on MySpace and Facebook, it charges users for playing time or for things like chips in poker. These small purchases which usually amount to only a few dollars at a time, start to add up quick. And that’s only with a small percentage of overall players opting to buy them.”

Facebook finally launched it’s much anticipated payment platform for testing.  Facebook hopes to be the OS for the social web.  They are banking on companies like Zygna figuring out what it the masses want and developing social applications on top of their platform.  App developers will be able to charge for subscriptions and create opportunities for in-app transactions. Facebook will get a cut of each transaction.  Cha-ching!

Another interesting company in this space is Tipjoy, which facilitates small payments on Twitter. I haven’t seen this used effectively yet, but I imagine a micropayment based Craigslist Twitter app could be successful.

Trend Analysis (Twitter, Zensify)

It’s undeniable that Twitter has achieved massive popularity, but that doesn’t always translate to profits (see YouTube). I believe Twitter’s most effective strategy for monetization will be mining and performing trend analysis on the millions of thought bubbles created by users daily. Both companies and individuals would pay big money to answer the following questions:

• What are people saying about me/my product right now?
• How has the perception of my brand changed recently and in what direction is it trending?
• Geographically where is my biggest, rapidly emerging and diminishing audiences?
• Who are my biggest evangelists, in what demographic do they fall in, where are they located?
• Who are my biggest naysayers, how can I change their perception?
• What is the perception of my product vs. my competitors?
• What are the trending (in both directions) topics in my industry?

On a smaller scale the new iPhone app Zensify:

“Shows the user trends within your social graph in the form of a tag cloud of key words. In other words it brings a lot more intelligence to your social graph. Suddenly, you can see a big trending topic amongst people you follow… “Wouldn’t it be cool if “trending topics” were localized to the people who are followed by the people you follow.” Well Zensify does this… And it doesn’t just do it across Twitter. It does it also does it across updates from Facebook, YouTube, Flickr, Digg, Delicious, Photobucket and 12seconds.”

I believe that providing a set of tools to monitor trends amongst your social graph (and public timelines), will be a huge revenue opportunity for companies looking to monetize on social and real-time.

Conclusion

When the internet was originally created the “page metaphor” mimicked the existing print industry. It followed that the way to monetize was through advertisements. As we move from pages to activity streams we’re starting to see entirely new, innovative ways to profit. We are still in the infancy of this new stream based revolution and while companies like Twitter and Facebook have achieved huge valuations no one (especially the Newspaper and Music industries) has yet figured out Monetization 2.0. Put on your thinking hats…

Related posts:

1. Google’s Biggest Competitor isn’t another Search Engine
2. The Transition to Real-Time, Social Search
3. Billion Dollar Business Idea

• CPM (cost per one thousand impressions) is the cost to display your ad one thousand times.  For the sites I contacted the range was from $20-$70 per 1000 impressions.
• CPC (cost per click), instead of purchasing ads which do not guarantee clicks, Google Adwords and Facebook both allow you to pay only when someone clicks on your ads.  Better.
• CPA (cost per action), you only pay when a user clicks on your ad, comes to your site and does something (i.e. fills out a form).  This is obviously the best for ad buyers, but worse for ad sellers (since it depends on how convincing you/your product are to get someone to take that action).  I haven’t found any advertisers willing to sell on CPA basis.

There are also a number of other factors that allow you to specify your audience better.

• Facebook allows you to specify where (to the city), what sex, age range, keywords, education (even to the specific college, year and major), relationship status and sexual orientation of your target audience (so that’s how my profile info is used).  In my example below, Facebook tells me there are 220 single college women between 18 and 23 in New York who like Pizza (hey ladies!).  You only pay per click, set daily limits on how much you want to spend and a maximum you want to pay for click.

• Google also allows you to specify location, keywords, daily budgets and how much you will pay for a click.  The graph below shows me how many clicks I am likely to receive and how much those clicks will cost me (in Rupees):

In comparison the Google and Facebook models will give me a lot more value for my budget.  Here’s why:

• Cost (CPC is better then CPM) – The number of clicks I get is much higher per dollar with Facebook and Google.  One of the major tech sites I contacted (can’t give their name but you’ve heard of them), offered me 174,000 impressions for 4k over two months ($23 CPM). They estimate a clickthrough rate of .25% which would equal 435 clicks.  In comparison I can set a maximum bid on Google and Facebook ads (let’s say .50 cents – $2 per click), giving me  2,000-8,000 clicks.
• Targeting - While the tech sites I contacted gave a lot of demographic information about their users (what percentage are IT decision makers, developers etc…), it doesn’t mean the individual viewing my ad actually is in that bucket.  With Facebook, I can guarantee that the people who are viewing my ad are in the target audience I want them to be.  With Google, it’s up to me to define good keywords that people are searching for in order to reach them.  Assuming I can do this (there are a lot of tools out there to help as well), I’ll know my ads are only seen by the right people.
• Analytics - There is no way for me tell how many times the ad publisher is actually displaying my ad.  They can tell me they showed it 100,000 times but I have no way to validate this.  All I can see is the number of people that actually click on that link.  Google and Facebook give me tools to see how well my keywords and ads are performing, guaranteeing my investment.

In short I can understand if you are Coca Cola you don’t really care who sees your ad.  In fact you don’t even care if people click on your ad. You are huge and all you want is to continue reminding people they are thirsty, your target audience is everyone. But for anyone else why would you advertise with someone who doesn’t offer targeted CPC ad purchasing? Your thoughts appreciated…

Related posts:

1. Introduction to Paid Online Advertising
2. Game Changer: Why Google bought Aardvark for $50 million
3. Advertising Is Not a Sustainable Business Model for the Web (unless you are a Search Engine)

The convergence of the mobile and social web (although over-hyped for years) presents an enormous opportunity.  For a long time we’ve heard rumors of a mystical app where you specify you specify you want some new size 13, white, Nike Zoom LeBron VI’s.  You walk by FootLocker and all of a sudden you receive a message letting you know they have it in stock, in your size, and if you buy it now, you get 15% off.  Or the app that let’s you know the cute chick across the bar is single, and shares your love of Stan Getz and Quentin Tarentino.  Perfect?  Not really, privacy concerns and unwelcome solicitation can quickly ruin this product.  Success with location based services (LBS) can only be achieved by giving users complete control over their privacy, and continuously building trust by providing more useful and accurate services.

I’ve spent some time playing around with the current LBS offerings Loopt and Yelp, but I think there’s a lot more that can be done.  This summer I came across an article in the NYTimes describing Sense Networks.  I downloaded the CitySense app on my blackberry and was floored, absolutely incredible.  It allows you to see in real-time where people are, if the population density is higher or lower then normal in certain areas and recommend places you would like to go based on where you’ve been (currently only for SF).

But this is just a for-fun demonstration of their technology.  Some of the tough questions that Macrosense is trying to answer include:

• Where do people make the decision to go to one place versus another?  Which places in the city are “influence points” versus “stops en route”?
• From where do the most people come from before arriving at a particular location?  Where do most people go afterwards, and how does this change throughout the day?
• What is the demand and elasticity of demand for places, activities and services by income level?  What are the most dramatic increases and decreases?

This is dope and extremely profitable.  The information could be used for marketers and business trying to determine the right location for their store.  The company is backed by hedge funds and I bet are making some scary decisions based on their findings (i.e. economy goes down 10% no one is going into the Apple Store, short the hell out of the stock)

Another great, new product is the Sekai Camera.  The concept is not only awesome, but the video is highly entertaining:

As we continue to make our phones smarter with faster and ubiquitous connections and GPS, we can enhance our real world experience by utilizing the thoughts, opinions and opportunities presented by friends and strangers alike.  Ideas anyone?

Related posts:

1. Advertising Is Not a Sustainable Business Model for the Web (unless you are a Search Engine)
2. Want to be a billion dollar company? Get 28mil users
3. Steal this Product Idea #3: Get Together

Publishers have the option of attaching a heat map of sorts to their videos. The map shows up below videos as a variously colored bar, which ranges from blue to red and activates when the user types in a particular topic. For example, if you’re watching a clip about a golf tournament, you can enter “Tiger Woods” and the bar will show you where the commentator spends time discussing and showing footage of that famous golf player. The topics are automatically detected by a combination of speech and contextual analysis, so publishers don’t have to break down their videos manually.

Related posts:

1. Slides from Social Media Training Sessions
2. Billion Dollar Business Idea
3. Advertising Is Not a Sustainable Business Model for the Web (unless you are a Search Engine)

French company Alenty is able to track what area of the screen you are looking at (duration): Alenty Demo

Nuconomy goes one step beyond, allows you to track not only Ajaxy (duration) stats, but interesting correlations as: friend request to purchase ratio and number of reviews written vs. clicks on ad. Pretty awesome…

There is a huge opportunity to offer free (or cheap) Web 2.0 analytics before the big players (Google, Omniture) do. Maybe we can then develop photo galleries that don’t reload between each photo…

The next step is to develop targeted ads that can seamlessly and unobtrusively change based on the your ever changing content…

http://www.alenty.com/xwiki/bin/view/Demo/AudienceDemoMultiContent

Related posts:

1. Why Would Anyone Advertise Online Without Google/Facebook?
2. Slides from Social Media Training Sessions
3. Measuring the Success of Social Media Campaigns