I just did a quick experiment to validate my hunch, and it’s true – WP Super Cache can cut your HTML load time in half in your WP deployment. Just check out the GrabPERF Measurement that backs this up.

Posted via email from Newest Industry Express

Every so often, you wake up and realize that the world has changed around you. Or, to say it better, your view of the world has changed so profoundly, but also so subtly and slowly that it is imperceptible unless you take the time to look back at where you came from.

Six years ago, if you had asked me what the most important problems in Web performance were, I would have reeled off a list that was focused on technology and configuration: HTTP compression, HTTP persistent connections, caching, etc. In fact, six years on, these are still the concepts that dominate Web performance conversations.

Slowly, glacially, shaped by six years of working with customers and clients, listening to the Web performance conversations that flow across the Web and within companies, I realize that technology is only one component of the Web performance solution.

Web Performance is NOT Just Technology

Most organizations focus too much of their efforts on solving the technical problems because they are discrete, easy to track, and produce quantifiable results.

Fair enough.

But a highly tuned engine with a rusted chassis, four flat wheels, and a voided warranty still has a Web performance problem, even if it is technically sound.

The complexity of the issue arises from the terminology used. Web performance, in current parlance, refers almost completely to the delivery of the site in an appropriate and measurable manner.

Web performance is not simply the generation and delivery of HTML and other objects. Web performance is conversation that defines the basic nature of any Web site.

Approaching Web performance, as I had for so many years, as a technical problem with a discrete solution overlooks the true nature of Web performance. A culture of effective Web performance absorbs a number of different inputs, and then ensures that the site performs across many different vectors, not just the two-dimensional response/success over time graph.

Web Performance is Culture and Communication

Web performance is an issue of culture. And at the root of all cultures lies communication.

The Web performance conversation has three components, each one shaping the potential response to the problem and providing elements of the solution.

1. Technical Capabilities

Technical organizations spend a great deal of their time defining what they can’t do. In an organization that has a culture of effective Web performance, the technical teams provide clear definitions of the current capabilities, and clearly demonstrate how far they can take the organization down the chosen path, hopefully without spending all of the company’s treasure.

2. Business Objectives

Just as the technical organization has to define what they can do with what they have, the business organization has to come to the table with a clear definition of what they want to achieve. If a business goal is clearly stated to the technical team, then a conversation about where there may be challenges and opportunities can occur. When business and IT talk and listen, a company is becoming far more effective at delivering the best site they can.

3. Customer Expectations

Neglected, forgotten, nay, even ignored, the role of the customers’ expectations in the Web performance equation is just as critical as the other two participants. With clear business objectives and defined technical capabilities, a site can still be seen as a Web performance failure if the expectations of the customer are not met. And it is not simply listening to customer and providing everything they want. It’s understanding why they need a feature/function/option in order to be more successful at what they do, and balancing that against the other two players in the conversation.

Now What?

But where does an organization that wants to take Web performance beyond the technical problem, and into the realm of the strategic solution go?

Do a search on any search engine and you will find page upon page of technical solutions to a supposedly technical problem. Web performance is not solely a technical problem. In many cases, the site is configured and tweaked and tuned and accelerated to such a degree that you have to wonder if is under-performing out of spite more than any other reason.

Scratch the surface. Look beyond the shiny toys and massively-scaled infrastructure and you will find that technology is not the issue. The demand placed on the site by the business are bogging the site down in ways that no amount of tuning could improve.

Perhaps the business goals of the site, the need to support the business, have pushed the technology to its breaking point or beyond, but the technology team cannot clearly articulate what the problem or solution is.

Maybe customers, used to competitors delivering one level of Web performance and experience are simply not happy with the site, no matter how tuned it is and how clearly the call to action may be.

Making a Web site perform effectively means stepping back and asking some key questions:

• Why do we have a site?
• How does this site help our business?
• Why do our customers use our site?
• Do we like using our site?
• What are our competitors doing?
• What are the best Web companies doing?

These seem like silly questions. But you may be surprised by the differing answers you get.

And from there, the conversation can start.

Takeaways

Simply put, Web performance is not about understanding how to make your site faster. Web performance is about understanding what you can do to make your site better. An effective Web site is one that is shaped by a culture of effective Web performance.

Striving to make a better, more effective Web site may lead to such profound cultural and organizational changes that the process ends up making a better company. A company where the Web site is seen as an active conversation shared with employees, shareholders, investors, and customers.

A conversation where you explain what can be done, why you are doing it, and how you will do it. A conversation where you listen to what must be done, how it is expected to work, and what the customer defines as success.

So when you wake up six years from now, and realize that the day you stopped treating your Web site as a technical problem that needed to be fixed, and started seeing it as an opportunity to create a more effective business, I hope you smile.

It’s a rare Web site these days that hosts all of its own content. From the smallest blog to the largest retailer, Web sites farm out their images, streams, and pages to CDNs, and absorb feeds, ads, and data streams from any number of outside providers.

Effective Web performance demands that a site take responsibility for the entire site, not just the parts under direct local management. Why? Because customers see a problem with your site, not with a provider.

How can the performance all of the third-party content on a site be managed? Using the exactly the same strategies already place to manage the performance of local content.

Measure from the outside-in

Customers come from the Internet. That measuring the performance of a site from the perspective of visitors is being mentioned here should not be a surprise. Critical to this part of managing third-parties is the ability to see into the page and determine if there are performance issues requesting and transmitting data from third-parties.

In the first article of this series, I detailed a number of approaches to actively gathering performance data. This method, whether from the datacenter or the last mile, will provide the early warning signs that there is an issue with a third-party, and feeding this data into the performance issue management plan.

Measure from inside the browser

The network and application performance of a third-party page component is just the start of the process, as this is what it takes to get the object to the browser. But what if this object then launches a number of actions, or starts to render on the screen. This may lead to a whole different range of issues that are a blind spot when analyzing Web performance.

Measuring the performance of discrete page elements from within the visitors browser will provide deeper insight into what effects the customer sees and which third-parties will need to be approached in order to improve the overall Web performance of the site.

Have clear and useful SLOs and SLAs

Service level objectives and service level agreements are often thrown about whenever there is the suspicion that there is a Web performance issue. Using these documents and frameworks as a club to beat up partners with is counter-productive.

SLOs and SLAs should clearly detail:

• the performance expectations of the Web site owner
• the performance and delivery capabilities of the third-party provider

Guess what? Arriving at this in a way that doesn’t lead to resentment and mistrust on both sides requires open and honest discussion.

Share data

If Web site owners and third-parties are going to work together to ensure the most effective Web performance strategy possible, then data must flow freely. Vendors will need access to the same data that Web site owners have (and vice versa) in order to ensure that if an issue is detected, everyone can examine all of the available data, and solve the problem quickly.

Communication

A recurring and critical theme when establishing a culture of effective Web performance is communication. When working with third-parties, this is even more critical, as the performance culture of one organization may be completely different from another. The Web site owner may have one site of criteria that determines a Web performance issue, while the vendor has another, and unless these are understood, problems will occur.

Clear communication paths must be baked into the SLA. Named contacts or contact paths will be there, as will expected response times for inbound requests, and escalation procedures.

When there is a performance issue, both sides will need to be very clear about how each other will respond.

Takeaways

Third-party content on Web sites is a fact. It shouldn’t be a headache. Effective Web performance measurement strategies, shared sources of Web performance data, and clearly understood paths and methods of communication will make using third-party content less stress-inducing to everyone.

I have had advertising on my blog for as long as I can remember. Except for the period of time when I hosted the site at Wordpress.com, I have always had AdSense, Chitika, or some other ad services content being contextually presented to my visitors.

Frankly, I found having ads up on my site extremely hypocritical, as I do everything in my power to avoid seeing ads of any kind during my day-to-day Web use. My browsers have ad-blocking plugins, or pass through ad-blocking proxies to eliminate the content I see as intrusive and unwanted.

Still, I spent a long time thinking about ad-placement on my own blog, and what I could do to drive traffic to get revenue, from something I didn’t believe in myself.

Yes, my blog doesn’t get huge amounts of traffic. And yes, I have been paid out exactly four times by AdSense in the 5 years I have been blogging. In four years, I have made $400 from the ads on my site.

I find ads intrusive, invasive, repulsive, and, in many cases, extremely ugly. So why should visitors to my site have to suffer with them?

Effective Sunday, August 9 2009, the ad code, in all its various forms, has been eliminated from my site. My blog is now officially ad-free. And it will stay that way.

For me, ad-revenue is ineffective. It takes away from the true reason I started writing this blog: I have something to say. If I am always thinking “How will this play with the contextual ad providers?”, then I am not writing in my own voice. I am writing to meet the criteria of an algorithm that triggers on certain words and will provide advertising that might make me money.

By presenting ads to visitors, the same ads that I despise.

When you step back and think about your blog, consider the following.

• Do you think about every word in your posts, considering its effect on your SEO?
• Do you change your site design often to try and discover the optimal ad layout?
• Is ad revenue more important than your reputation as a blogger?
• Do you always think about branding in terms of dollars instead of in terms of authority and reputation?

Blogging is not about the money. And while I read Darren Rowse and other pro-blogging advocates, I also realize that they’re focus is on quality content for an appreciative audience.

I feel that ad revenues can lead to the loss of your blogging voice. And my voice and reputation are what are most vital to me, not dollars from ugly ads.

Here are the browser stats for Newest Industry as of March 14 2009. Not a large amount of traffic, but it is indicative of what most folks with technical content on their blogs likely see.

What did surprise me was the number of people who are still using MSIE 6.0. I am not sure what is continuing to perpetuate the presence of this percentage of people on this antiquated browser, other than large corporations running this by mandate of the IT department.

I think that with the release of all the new browsers this year, support for MSIE 6.0 should simply cease. I will gladly install a javascript library that will kill pages for MSIE 6.0 visitors, announcing that the Internet is no longer available to them.

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.

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.

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.

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.

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.