Marketing has traditionally been a two-pronged attack on your mind and your wallet, designed to find the most effective ways to reach your mind, and get you to part with your money.

The techniques used to identify who to go after, how to go after them, and why this message will work drives a social media campaign as much as it does an old-school marketing campaign. The traditional layers in this model are targeting and messaging.

What is interesting is that the emergence of social media has turned a two-layer model into a three-layer model. The third layer has always been there, it just hasn’t been large enough to matter to anyone until the last 2-3 years.

The navel-gazing that is occurring in the social media marketing community is due to the rise of this third layer, the layer that is concerned with communicating.

This is not the communications that so many organizations confuse with branding. This is the communication that focuses on the best way to isolate conversations, identify engaged audiences, and participate in communities.

Targeting

The science of marketing lives here. Demographics are the foundation of the targeting phase of any marketing campaign. What does the market we are trying to reach look like?

In this area, Lookery and QuantCast provide organizations with the data they need to decide when and where there message should go.

Messaging

This is where the science becomes the visible. Advertising and branding create the message that portrays the product to the customers, using the information gathered in the targeting phase.

Advertising and branding are not the same thing. Branding is the overarching vision that a product wants to push to the world while advertising is the ephemeral visual and aural methods used to get the brand embedded in the consciousness of a population.

Communicating

The third, and most critical circle in this cycle is communication. It is the one that companies so often get wrong, and that is garnering such a great deal of interest now. I would argue that until recently, companies have not understood communication, preferring to try and shape communication remotely, using advertising and branding, rather than engaging in it directly.

An organization that actively engages in communication is one that has a willingness to walk out from behind the safety of its brand and its advertising and talk to customers. Participate in conversations. Shape communities that emerge either for or against the product.

This is what companies are having so much difficulty with.

Attention and Reputation

Communicating with clients is the smallest circle because so few companies are doing it at all, and those that do it find it so hard to get right. What organizations have found is that attempting to use communication in the same way they use their existing marketing tools leads to failure here.

Getting the attention of a population of key customers is a targeting and messaging success. Holding the attention of these customers doesn’t require new advertising and a constantly refreshed brand. The people who we listen to most have a reputation, have opinions we trust.

It will be interesting to watch the true evolution of Corporate Communication (Corporate Conversations?) circle evolve in the next few years.

Tags: advertising, branding, bullseye, communicating, community, conversation, demographics, engagement, marketing, messaging, social media, social media marketing community, targeting

There is clear dissatisfaction with the current state of marketing among the social media mavens.

• Fred Wilson and Union Square Ventures are looking for companies to invest in to take advantage of this.
• BuzzLogic releases their conversational ad service.
• The Inquisitr moves from AdSense to Technorati Media, indicating a potential shift at b5 Media.
• Lookery is providing demographic information that is relevant to social media providers and shaping ad presentation that way
• A completely off-the-radar person such as myself realizes that there is gold in what holds the attention, and that’s not always the latest and greatest

So what can be done? Jeff Jarvis points out that the problem lies with measurement. I agree, as there is only value in a system where all of the people involved agree on what the metric of record will be, and how it can be validly captured.

Currently CPM is the agreed upon metric. In a feed based online world, how does a CPM model work? And, most importantly, why would I continue to place your ads on my site if all your doing is advertising to people based on the words on the page, rather than who is looking at the page and how often that page is looked at.

In effect, advertisers should be the ones thrying to figure out how to get into the community, get into the conversation. As an advertiser, don’t you want to be where the action is? But how do you find an engaged audience in an online world that makes a sand castle on the beach in a hurricane look stable?

The challenge for advertisers is to be able to find the active communities and conversations effectively. The challenge for content creators and communities is to understand the value of their conversations, the interactions that people who visit the site have with the content.

In effect, a social media advertising model turns the current model on its head. Site owners and community creators gain the benefit of being attractive to advertisers because of the community, not because of the content. And site owners who understand who visits their site, what content most engages them, how they interact with the system will be able to reap the greatest rewards by selling their community as a marketable entity.

And Steven Hodson rounds out the week’s think on communities by throwing out the subversive idea that communities are not always free (as in ‘beer’, not as in ‘land of’). If a community has paid for the privilege of coming together to participate in communal events and discussions, then can’t that become an area for site owners to further control the cost of advertising on their site?

While the benefit of reduced or no marketing content is the benefit of many for-pay communities, this benefit can be used by site owners by saying that an advertiser can have access to the for-pay community at the cost of higher ad rates and smaller ads. The free community is a completely different set of rules, but there are also areas in the free community that are of higher value than others.

In summary, the current model is broken. But there is no way to measure the value of a Twitter stream, a FriendFeed conversation, a Disqus thread, or a Digg rampage. And until there is, we are stuck with an ad model that based on the words on the page, and not the community that created the words.

Tags: ad network, ads, adsense, advertising, advertising model, API, attention, audience, b5 Media, blog, blog advertising, BuzzLogic, BuzzMachine, community, content, control, conversation, current, data, digg, disqus, EAD, feeds, Fred Wilson, friendfeed, HTML, HTTP, IE, IM, information, interaction, interactions, IP, it, Jeff Jarvis, LAN, Lookery, Mac, marketing, measurement, media, metrics, Newest Industry, Om, One, online, online world, pr, social media, social media advertising, social media advertising model turns, social media mavens, social media providers, Steven Hodson, Technorati, The Inquisitr, twitter, Union Square, Union Square Ventures

Fred Wilson adds his thoughts to the conversation about a more intelligent way to target blog and social media advertising. His idea plays right into the ideas I discussed yesterday, ideas that emphasize that a new and successful advertising strategy can be dictated by content creators and bloggers by basing advertising rates on the level of interaction that an audience has with a post.

Where the model I proposed is one that is based on community and conversation, Fred sees an opportunityfor fims that can effectively inject advertising and marketing directly into the conversation, not added on as an afterthought.

Today’s conversations take place in the streams of Twitter and FriendFeed, and are solidly founded on the ideas of community and conversation. They are spontaneous, unpredictable. Marketing into the stream requires a level of conversational intelligence that doesn’t exist in contextual advertising. It is not simply the words on the screen, it is how those ads are being used.

For example, there is no sense trying to advertise a product on a page or in a conversation that is actively engaged in discussing the flaws and failings of that product. It makes an advertiser look cold, insensitive, and even ridiculous.

In his post, Fred presents examples of subtle, targeted advertising that appears in the streams of an existing conversation without redirecting or changing the conversation. As a VC, he recognizes the opportunity in this area.

Community and conversation focused marketing is potentially huge and likely very effective, if done in a way that does not drive people to filter their content to prevent such advertising. The advertisers will also have to adopt a clear code of behavior that prevents them from being seen as anything more than new-age spammers.

Why will it be more effective? It plays right to the marketers sweet spot: an engaged group, with a focused interest, creating a conversation in a shared community.

If that doesn’t set of the buzzword bingo alarms, nothing will.

It is, however, also true. And the interest in this new model of advertising is solely drive by one idea: attention. I have commented on the attention economy previously, and I stick to my guns that a post, a conversation, a community that holds a person’s attention in today’s world of media and information saturation is one that needs to be explored by marketers.

Rob Crumpler and the team at BuzzLogic announced their conversation ad service yesterday (September 18 2008). This is likely the first move in this exciting new area. And Fred and his team at Union Square recognize the potential in this area.

Tags: advertising rates, advertising strategy, BuzzLogiz, community, contextual advertising, conversation, Fred Wilson, Rob Crumpler, social media advertising, Union Square, Union Square Ventures

This week, I have been discussing the different approaches to blog analytics that can be used to determine what posts from a blog’s archive are most popular, and whether a blog is front-loaded or long-tailed. The thesis is that it’s not always what the words in the blog are that are important.

In a guest post this morning at ProBlogger, Skellie discusses how the value of social media visitors is different and inherently more complex than the value of visitors generated from traditional methods, such as search and feedreaders. Her eight points further support my ideas that the old advertising models are not the best suited for the new blogging world.

Stepping away from the existing advertising models that have been used since blogging popularity exploded in 2005 and 2006, it is clear that the new, interactive social web model requires an advertising approach that centers on community and conversation, rather than the older idea of context and aggregated readership.

The Current Model

Current blog advertising falls into two categories:

1. Contextual Ads. This is the Google model, and is based on the ad network auctioning off keywords and phrases to advertisers for the privilege of seeing their ad links or images appear on pages that contain those words or phrases.
2. Sponsored Ads. Once a blog is popular enough and can prove a well-developed audience, the blogger can offer to sell space on his blog to advertisers who wish to have their products, offerings or companies presented to the target audience.

In my opinion, these two approaches fail blog owners.

Contextual ads understand the content of the page, but do not understand the popularity of the page, or its relationship to the popularity of other pages in the archive.Contextual ads lack a sense of community, a sense of conversation. While the model has proven successful, it does not maximize the reach that a blog has with its own audience.

Sponsored ads understand the audience that the blog reaches, but do not account for posts that draw the readers’ attention for the longest time, both in terms of time spent reading and thinking about the post as well as over time in an historical sense. The sponsored ad model assumes that all posts get equal attention, or drive community and conversation to the same degree.

The New Model

In the new model, more effective use of visitor analytics is vital to shaping the type and value of the ads sold. Studying the visitor statistics of a blog will allow the owners to see whether the blog is, in general, front-loaded or long-tailed.

If the blog has a front-loaded audience, the most recent posts are of higher value and could be auctioned of at higher prices. In order for this to work, both the ad-hoster and the advertiser would have to agree to the value of the most recent posts using a proven and open statistical analysis methodology. In the case of front-loaded blogs, this analysis methodology would have to demonstrate that there is a higher traffic volume for posts that are between 0-3 days old (setting a hypothetical boundary on front-loading).

For blogs that are long-tailed, those posts that continue to draw consistent traffic would be valued far more highly than those that fall out into the general ebb and flow of a bloggers traffic. These posts have proven historically that they appear highly in search results and are visited often.

In addition to the posts themselves, the comment stream has to be considered. Posts that generate an active conversation are farmore valuable those that don’t. Again, showing the value of the conversation is reliant of the ability to track the numbers of people in the conversation (through Disqus or some other commenting system).

This model can be further augmented by using a tool like Lookery that helps to clearly establish the demographics of the blog audience. Being able to pinpoint not only where on a blog to advertise but also who the visitors are who view those page, provides a further selling point for this new model and helps build faith in the virtues of a blog that sells space using this new, more effectively targeted advertising pricing structure.

Now, I separate the front-loaded and long-tailed blogs as if they are distinct. Obviously these categories apply to nearly every blog as there are new posts that suddenly capture the imagination of an audience, and there are older posts that continue to provide specific information that draws a steady stream of traffic to them.

Summary

This is a very early stage idea, one that has no code or methodology to support it. However, I believe that the current contextual advertising model, one based solely on the content of the post, is not allowing the content creators and blog entities to take advantage of their most valuable resource - their own posts and the conversations that they create.

I also believe that blog owners are not taking advantage of their own best resource, Web analytics, to help determine the price for advertising of their site. Not all blog posts are created or read equally. Being able to very clearly show what drives the most eyeballs to your site is a selling point that can be used in a variable-price advertising model.

By providing tools to blog owners that intimately link the analytics they already gather and the advertising space they have to sell, a new advertising model can arise, one that is uniquely suited to the new Web. This advertising model will be founded in the concepts of conversation and community, providing more discretely targeted eyeballs to advertisers, and higher ad revenues to blog owners and content creators.

UPDATES

Appears that BuzzLogic has already started down this path. VentureBeat has commentary here.

Tags: ad network, advertising, advertising approach, advertising initiatives, advertising model, advertising models, advertising space, analytics, audience, blog advertising, blog advertising works, BuzzLogic, contextual ads, contextual advertising, contextual advertising model, front-loaded, Google, interactive social web model, long tail, long-tailed, search results, social media visitors, statistics, traffic, variable-price advertising model, VentureBeat, views, Web analytics

The idea that blogs generate a personal brand is as old as the “blogosphere”. It’s one of those topics that rages through the blog world every few months. Inexorably the discussion winds its way to the idea that a blog is linked exclusively to the creators of its content. This makes a blog, no matter what side of the discussion you fall on, the online representation of a personal brand that is as strong as a brand generated by an online business.

And just as corporate brands are affected by the performance of their Web sites, a personal brand can suffer just as much when something causes the performance of a blog Web site to degrade in the eyes of the visitors. For me, although my personal brand is not a large one, this happened yesterday when Disqus upgraded to multiple databases during the middle of the day, causing my site to slow to a crawl.

I will restrain my comments on mid-day maintenance for another time.

The focus of this post is the effect that site performance has on personal branding. In my case, the fact that my blog site slowed to a near standstill in the middle of the day likely left visitors with the impression that my blog about Web performance was not practicing what it preached.

For any personal brand, this is not a good thing.

In my case, I was able to draw on my experience to quickly identify and resolve the issue. Performance returned to normal when I temporarily disabled the Disqus plugin (it has since been reactivated). However, if I hadn’t been paying attention, this performance degradation could have continued, increasing the negative effect on my personal brand.

Like many blogs, Disqus is only one of the outside services I have embedded in my site design. Sites today rely on AdSense, Lookery, Google Analytics, Statcounter, Omniture, Lijit, and on goes the list. These services have become as omnipresent in blogs as the content. What needs to be remembered is that these add-ons are often overlooked as performance inhibitors.

Many of these services are built using the new models of the over-hyped and mis-understood Web 2.0. These services start small, and, as Shel Israel discussed yesterday, need to focus on scalability in order to grow and be seen as successful, rather than cool, but a bit flaky. As a result, these blog-centric services may affect performance to a far greater extent than the third-party apps used by well-established, commercial Web sites.

I am not claiming that any one of these services in and of themselves causes any form of slowdown. Each has its own challenges with scaling, capacity, and success. It is the sheer number of the services that are used by blog designers and authors poses the greatest potential problem when attempting to debug performance slowdowns or outages. The question in these instances, in the heat of a particularly stressful moment in time, is always: Is it my site or the third-party?

The advice I give is that spoken by Michael Dell: You can’t manage what you can’t measure. Yesterday, I initiated monitoring of my personal Disqus community page, so I could understand how this service affected my continuing Web performance. I suggest that you do the same, but not just of this third-party. You need to understand how all of the third-party apps you use affect how your personal brand performance is perceived.

Why is this important? In the mind of the visitor, the performance problem is always with your site. As with a corporate site that sees a sudden rise in response times or decrease in availability, it does not matter to the visitor what the underlying cause of the issue is. All they see is that your site, your brand (personal or corporate), is not as strong or reliable as they had been led to believe.

The lesson that I learned yesterday, one that I have taught to so many companies but not heeded myself, is that monitoring the performance of all aspects of your site is critical. And while you as the blog designer or writer might not directly control the third-party content you embed in your site, you must consider how it affects your personal brand when something goes wrong.

You can then make an informed decision on whether the benefit of any one third-party app is outweighed by the negative effect it has on your site performance and, by extension, your personal brand.

Tags: app, blog site, blog Web site, blog-centric services, brand, corporate site, disqus, Google, Michael Dell, online, online representation, outside services, personal brand, third-party, third-party applications, third-party apps, Web Performance

Since I started self-hosting this blog again on August 6 2008, I have been trying to find more ways to pull traffic toward the content that I put up. Like all bloggers, I feel that I have important things to say (at least in the area of Web performance), and ideas that should be read by as many people as possible.

As well, I have realized that if I invest some time and effort into this blog, it can be a small revenue source that could get me that much closer to my dream of a MacBook Pro.

The Analysis

In a post yesterday morning, Darren Rowse had some advice on when the best time to release new post is. Using his ideas as the framework, I pulled the data out of my own tracking database and came up with the chart below. This shows the page view data between September 1 2007 and September 15 2008 based on the day of the week vistors came to the site.

Using this data and the general framework that Darren subscribes to, I should be releasing my best and newest thoughts in a week on Monday and Tuesday (GMT).

After Wednesday, I should release only less in-depth articles, with a focus on commentary on news and events. And I must learn to breathe, as I suffer from an ailment all to common in bipolars: a lack of patience.

A new post doesn’t immediately find its target audience unless you have hundreds or thousands (Tens? Ones?) of readers who are influential. If you are luckyin this regard, then these folks will leave useful comments, and through their own attention, help gently show people that a new post is something they should devote their valuable attention towards.

It takes a while for any post to percolate through the intertubes. So patience you must have.

Front-loaded v Long-tailed

Unless, of course, your traffic model is completely different than a popular blogger.

The one issue that I had with Darren’s guidance is that it applies only to blogs that are front-loaded. A front-loaded blog is one that is incredibly popular, or has a devoted, active audience who help push page views toward the most recent 3-5 posts. Once the wave has crested, or the blogger has posted something new, the volume of traffic to older posts falls off exponentially, except in the few cases of profound or controversial topics.

When I analyzed my own traffic, I found that the most of my traffic volume was aimed toward posts from 2005 and 2006. In fact, more recent posts are nowhere near as popular as these older posts. In contrast to the front-loaded blog, mine is long-tailed.

There are a number of influential items in my blog which have proven staying power, which draw people from around the world. They have had deep penetration into search engines, and are relvant to some aspect of peoples’ lives that keeps pulling them back.

Summary

I would highly recommend analyzing your traffic to see it is front-loaded or long-tailed. I know that I wish that this blog  was more front-loaded, with an active community of readers and commentators. However, I am also happy to see that I have created a few sparks of content that keep people returning again and again. If your blog is  long-tailed, then when you post becomes far less relevant than ensuring the freshness and validity of those few popular posts. Ensure that these are maintained and current so that they remain relevant to as many people as possible.

Tags: analysis, analytics, blog posts, Blogging, content creation, content release, current, Darren Rowse, freshness, front-loaded, hits, long tail, maintain, page views, posting, search engines, statistics, traffic, update, Web Performance

Steven Hodson of WinExtra posted a screenshot of his personal Wordpress stats for the last three years last night. I then posted my stats for a similar period of time, and Steven shot back with some question about traffic, and the ebbs and flows of readers.

Being the stats nut that I am, I went and pulled the data from my own tracking data, and came up with this.

I made a conscious choice to analyze what year the posts being read were posted in. I wanted to understand when people read my content, which content kept people coming back over and over again. The chart above speaks for itself: through most of the last year it’s clear that the most popular posts were made in 2005.

What is also interesting is the decreasing interest in 2007 posts as 2008 progressed. Posts from 2006 remained steady, as there are a number of posts in that year that amount to my self-help guides to Web compression, mod_gzip, mod_deflate, and Web caching for Web administrators.

This data is no surprise to me, as I posted my rants against Gutter Helmet and their installation process in 2005. Those posts are still near the top of the Google search response for term “Gutter Helmet”. And improving the performance of a Web site is of great interest to many Apache server admins and Web site designers.

What is also clear is that self-hosting my blog and the posting renaissance it has provoked has driven traffic back to my site.

So, what lessons did I learn from this data?

1. Always remember the long tail. Every blogger wants to be relevant, on the edge, and showing that they understand current trends. The people who follow those trends are a small minority of the people who read blogs. Google and other search engines will expose them to your writings in the time of their choosing, and you may find that the three year-old post gets as much traffic as the one posted three hours ago
2. Write often. I was in a blogging funk when my blog was at Wordpress.com. As a geek, I believe that the lack of direct control over the look and feel of my content was the cause of this. In a self-hosted environment, I feel thta I am truly the one in charge, and I can make this blog what I want.
3. Be cautious of your fame. If your posts are front-loaded, i.e. if all your readers read posts from the month and year they are posted in, are you holding people’s long-term attention? What have you contributed to the ongoing needs of those who are outside the technical elite? What will drive them to keep coming to your site in the long run?

So, I post a challenge to other bloggers out there. My numbers are miniscule compared to the blogging elite, but I am curious to get a rough sense of how the long tail is treating you.

Tags: apache, blog stats, caching, fame, Google, Gutter Helmet, long tail, posts, search engines, search response, statistics, Steven Hodson, top posts, Web administrators, Web caching, Web compression, Web site designers

This morning I launched Bipolar Lives, a blog that discusses the broad issues and personal challenges of living with Bipolar Syndrome.

Readers of this blog will know that I was diagnosed with Bipolar I in 2006. It’s a condition I am very open about and that is a challenge (and an opportunity) that I live with. Medication, therapy, and a loving and very understanding family help me make through each day.

Bipolar Lives will present research, ramblings, personal experiences, and other things of interest to people with Bipolar.

Come over if you want to learn a little about how we see the normal people.

Tags: Bipolar Lives, Bipolar Syndrome, blog, Challenges, Issues, personal

Since I downloaded and started using Chrome yesterday, I have had to rediscover the world of online advertising. Using Firefox and Adblock Plus for nearly three years has shielded from their existence for the most part.

Stephen Noble, in a post on the Forrester Blog for Interactive Marketing Professionals, seems to discover that Chrome will be a source for injecting greater personalization and targeting into the online advertising market.

This is the key reason Chrome exists, right now.

While their may be discussions about the online platform and hosted applications, there are only a small percentage of Internet users who rely on hosted desktop-like applications, excluding email, in their daily work and life.

However, Google’s biggest money-making ventures are advertising and search. With control of AdSense and DoubleClick, there is no doubt that Google controls a vast majority of the targeted and contextual advertising market, around the world.

One of the greatest threats to this money-making is a lack of control of the platform through which ads are delivered. There is talk of IE8 blocking ads (well, non-Microsoft ads anyway), and one of the more popular extensions for Firefox is Adblock Plus. While Safari doesn’t have this ability natively built in, it can be supported by any number of applications that, in the name of Internet security, filter and block online advertisers using end-user proxies.

This threat to Google’s core revenue source was not ignored in the development of Chrome. One of the options is the use of DNS pre-fetching. Now I haven’t thrown up a packet sniffer, but what’s to prevent a part of the pre-fetching algorithm to go beyond DNS for certain content, and pre-fetch the whole object, so that the ads load really fast, and in that way are seen as less intrusive.

Ok, so I am noted for having a paraoid streak.

However, using the fastest rendering engine and a rocket-ship fast Javascript VM is not only good for the new generation of online Web applications, but plays right into the hands of improved ad-delivery.

So, while Chrome is being hailed as the first Web application environment, it is very much a context Web advertising environment as well.

It’s how it was built.

Tags: Adblock, Adblock Plus, ads, adsense, advertising, advertising environment, Chrome, context Web, contextual advertising, DNS, doubleclick, Firefox, Forrester, Google, hosted desktop-like applications, IE8, Internet Explorer 8, Internet security, Internet users, Javascript, Microsoft, online advertisers using end-user proxies, online advertising, online advertising market, online platform, online Web applications, pre-fetching algorithm, Safari, search ads, Stephen Noble, targeted advertising, targeted and contextual advertising market, Web application environment

Ok, all I have to say is: If you do not have the Wordpress Automatic Upgrade plugin, go get it. The update took all of 30 seconds.

Thanks to the authors of that extremely useful piece of code.

Tags: automatic upgrade, plugin, wordpress, wordpress 2.6.1