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

If you are interested in the area of social media marketing, head over to Peter Kim’s blog and check out Social Media Marketing’s Scalability Problem. The post is excellent, and the comments are the kind of conversation that needs to be had in this area.

The best comments so far:

• Aaron Strout
• John Bell
• Phil Gillman

The interesting thing is that this post is nearly two months old. And without realizing it, that’s about the time I started writing about conversation and community, branding v. reputation, and how the content-based advertising algorithms are failing the social media market.

I agree with the commenters and Peter Kim that there is a scalability problem when you are trying to have a conversation. that’s why companies rely so much on branding. However, if you take the time to build a community, you don’t have to scale your own conversation, as you will have the community willing to build your reputation.

Conversations and community happen around the reputation of brands, people, and products. And where there is a gap between the branding message and the reputation conversation, that’s when the greatest problems arise.

Tags: Aaron Strout, branding, community, content-based advertising algorithms, conversation, John Bell, Peter Kim, Phil Gillman, reputation, social media, social media marketing

When I posted Advertising to the Community: Is PageRank a Good Model for Social Media? a couple of days ago, I was working in a vacuum. I was responding to some degree to the infamous BusinessWeek article, and to the comments Matt Rhodes made on the idea of PageRank being used to rate social media participation.

Turns out I am not alone in criticizing this simplistic approach rating the importance and relevance of conversations and community. Mark Earls comments on the power of super-users [here], and how the focus on these influencers misses the entire point of community and conversation. John Bell of the Digital Influence Mapping Project and Ogilvy points out that the relationships in social media and online communities are inherently more complex than creating a value based on the number of interactions someone has with a community [here].

This conversation is becoming very interesting. There are a lot of very bright people who are considering many different approaches to ranking the importance of a conversation or a community based not only on who is participating, but how engaged people are.

If communities or conversations are run and directed by a select group of people, then they are called dictatorships or lectures. Breaking down, rather than erecting, barriers is why social media is such a powerful force.

Tags: John Bell, Mark Earls, Matt Rhodes, Ogilvy, online communities, social media, social media participation

One of the most challenging things in social media is finding the conversation leaders. Those people who drive the conversation, and create a community.

FriendFeedHolic (ffholic) has taken the base knowledge that exists in FriendFeed and added a ranking mechanism to it based on input and output. In fact, they weight the participation in the FriendFeed community more heavily than participation in other communities.

This is important. Although FriendFeedHolic is separate from FriendFeed, they have found the way to isolate and target those users who are most likely to participate and create conversations. These users, be it Scoble or Mona N, are where advertisers and marketers can target their money.

How would they do this?

Think about it. If someone that is a large commenter or conversation-creator on FriendFeed creates new content, they are assigned a higher ranking in the new conversation-driven ad-discovery model that advertisers will have to create to succeed.

This new targeted advertising logic will be forced to discover:

• The content of the conversation
• The context of the conversation
• The tone of the conversation
• The participants in the conversation

This model will be able to identify when it is an inward-facing conversation that involves mostly super-users, or if it is a conversation that engages a wide-spectrum of people.

Conversations among super-users will lead to more passive advertising being shown, as that is a spectator event, with only a few participants.

Conversations created by super-users, or that involve super-users, but have a higher participation from the general community will get more intelligent attention to ensure that the marketing messages and advertising shown fit the four criteria above.

In this new model, advertisers will have to see that they can’t simply slap a set of ads up on the popular kids web sites. They will have to understand who leads a community, who generates buzz, and who can engage the most people on a regular basis.

In this model, the leader has far less power than the community that they create. And maintain.

Tags: advertising, community, context, conversation, engagement, ffholic, friendfeed, FriendFeedHolic, marketing, passive advertising, social media, targeted advertising logic

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

Since I migrated the blog back to my own servers a few days ago, I have realized something: I have fallen back to my old habit of watching the hit count.

This is weird, considering the lack of interest I had in my blog and its stats over the last year or so. But having my baby back home where I am in charge gives a sense that I should pay attention. That I need to know what’s happening.

In 2005, when I started doing this, I used to watch my hit count religiously, maniacally. Sort of goes with the bipolar, but I digress. In 2008, we are obsessed with followers, and the Slashdot like addiction to being the first to report some breaking (planted?) news item.

So, after three years of blogging, I see that the online communities haven’t progressed much beyond hit counters, page views, or followers. And online cred is a insular and self-perpetuating thing. You draw attention to yourself, you get comments, more people follow you, and more people feed you, you have more to say, more people follow you…and on, and on.

I am not saying that this is good, or ill. I am as much a traffic whore as the rest of the world. I just realize that we are all after the same goal - attention. That was the whole idea behind the Attention Economy, a term I don’t hear as much as I did 2 years ago.

With FriendFeed and Twitter, we live in the Attention Economy. With 200 channels in my basic cable package, TV is a passive Attention Economy, controlled by the PVR and the TorrentSphere. Satellite Radio forces us to make choices.

Be it hit-counts or PVRs, we all crave attention, knowing full well how limited the attention-span is. We don’t want be to waste our time, but we want to attract that of others.

Attention produces an unbalanced online economy. We can do many things to control the incoming flow. We can also work very hard to expand the outgoing flow. But for most of us, the outgoing flow remains a trickle, maybe even a fine mist.

So where does the power in the Attention Economy lie? With the off-switch.

And we all have one.

How do you use yours?

Tags: attention, Attention Economy, followers, hits, online communities, social media, unbalanced online economy

The latest “rage” flooding through the social-media world is identi.ca, a Twitter-like micro-blogging service that is built on open-source servers and code.

As with anything that becomes an overnight sensation, the problems of success tend to follow. Using GrabPERF, I have been monitoring the HTML download time of my personal message stream. The results have been interesting.

Much has been made of social-media leaders that says that this is a clone, and that it is slow, etc. But, as has also been noted, it is:

• A one-person operation
• open-source code
• willing to admit that it needs to grow.

So, one-day never makes a performance trend. Over the last week, in my day job, I have watched a large online retailer suffer a similar fate to this newcomer to the social-media arena.

And if everyone who was willing to wait for Twitter to recover waited ten seconds for identi.ca to catch up, then there is a good chance that it may stand a chance of becoming a true competitor, pushing performance improvement.

Plurk was a non-starter for the twitterati. Jaiku has lost momentum, and is failing Google in the same way that Orkut did. And Pownce…what is that?

I hold out high hopes for identi.ca, if only to keep Twitter truly honest.

Tags: GrabPERF, identi.ca, jaiku, Orkut, performance, pownce, social media, twitter, Web Performance

Lately, there have been outages for two large sites: Amazon and Facebook. Working for a company that monitors such things made me able to confirm the nature of the outages.  But how I became aware of them has had me thinking in new ways for the last few weeks.

I became aware of both of these outages through a combination of FriendFeed and Twitter within minutes of them starting. This information spread quickly. And, due to the nature of these new technologies, people were able to comment on the outages, and theorize about the cause of the problems these large online firms faced.

The question you are likely asking is “So what?”. Well, as anyone who has been paying attention for the last four years should know, while you cannot completely control the conversation, you can participate in it and help prevent the spread of negative or incorrect theories about what is happening on your site.

The technologies that people who come to your site use to comment when something goes wrong can be used to interact with the customers. The classic example of this is Zappos. If you look on Twitter, you will find a number of members of that organization who are using the service to interact with customers on a human level. And if you have a problem or question, you stand an excellent chance of getting a response from the CEO if you ask a question.

So, if your site experiences an issue or problem, how do you interact with customers? Or do you just hope they don’t notice?

Tags: conversation, customers, friendfeed, interaction, performance issues, social media, twitter

Over the last year, GrabPERF has been something that has caught the fancy of a few in the Blogging/Social Media world. It has given some perspective of how performance can affect business and image in the connected world.

But what of GrabPERF itself? It has been on a development hiatus for the last few months due to pressures from my “real” job and various trips (business and pleasure) that I have been undertaking. Over the last two weeks, I have been trying to clear out the extra measurements and focus the features and attention on the community that appears most interested in the data.

During this process, I heard back from some folks who had been using GrabPERF in stealth mode (even I can’t track all the hits!), and who asked, “Hey! Where did my data go?”. Glad to hear from all of you.

Just to give everyone some idea of the growth, here is a snapshot of aggregated daily performance and number of measurements.

The number of measurements shot up, until I started culling the unused measurements. Over the last 3 weeks, average performance became extremely variable, and that’s when I began considering the culling. As well, the New York PubSub Agent appears to have gone permanently offline, as a part of their winding down process.

The fact that the system was taking 390,000 measurements per day still astounds me.

This was also comparable to the number of distinct sites we were measuring.

After the latest cull, we are down to 84 distinct tests, a level last seen on November 27, 2005.

I am pleased that the system has held together as well as it has.

Technorati Tags: GrabPERF, statistics

Tags: app, ARIN, attention, blog, Blogging, business, community, data, GrabPERF, hits, HTTP, IE, IM, IP, it, measurement, media, Om, One, performance, pr, social media, statistics, Technorati