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SEO self-experiment

I started an SEO self-experiment these days: How long does it take to promote a domain (without playing foul or spending money)? How long does it take search engines to react on changes (display new page titles, new meta tags)? How many new links do you get by entering web-catalogues, online-pr-distributors? How many links do you get by using social bookmarking?

The test arrangement

• registered an unusual domain (there are no other search results for this word then my own pages)
• set up around 100 pages with meaningful content
• followed the basic SEO-laws (use page titles, descriptions, keywords in decent length, use many internal links in the body text, name pictures etc.)
• creating three new web-catalog entries per day (I guess I’ll do this for about 3 weeks; it’s all manual work with individual descriptions)
• posting one article everyday on three social bookmarking services (delicious, digg, stumble upon)

What I’m checking daily is

• Number of search results for my domain name
• Number of links to my domain that search engines find

Softer facts I’m interested in are:

• which catalogues are the most efficient?
• which bookmarking services are the most efficient?
• when does it start to grow from alone, when do other users start to post links or bookmark stuff?

I’ll keep posting results on a weekly basis.

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Gain Twicksize

Jeremiah Owyang returned from a 20 day twitter hiatus. To be honest, I did not really realize he was away – there is so much noise going on. And exactly that was his experience: A lot of things are just noise, you will not miss them.

The noise keeps going on, not matter if you care about it or not. Sometimes there is some positive impact, sometimes not.

What I’m really curious on are some efficiency discussions around twitter that started in the past weeks: The topic is not what you do on twitter, not even why you do it – but who is the most powerful Twitter-User.

Twinfluence.com works around three main values: Reach, Velocity and Social Capital.

Reach is defined as ” the number of followers a Twitterer has (first-order followers), plus all of their followers (second-order followers). This is by necessity a crude maximum estimate, since there will definitely be duplicates and overlaps that could only be eliminated by up to thousands of API calls. Reach is a measurement of potential audience and listeners, a best estimate of the number of people that a given Twitterer could quickly get a message to.”

Velocity “merely averages the number of first- and second-order followers attracted per day since the Twitterer first established their account. The larger the number is, the faster that Twitterer has accumulated their influence. Of course, this number could jump significantly with the addition of a few high-profile followers. Velocity is scored from “very slow” to “very fast” relative to other twitterers at your network size.”

Social Capital indicates ” indicate the average first-order network of a Twitterer’s followers. It’s essentially a measure of how influential are a twitterer’s followers. A high value indicates that most of that Twitterer’s followers have a lot of followers themselves. Social Capital is scored from “very low” to “very high” relative to other twitterers at your network size.”

Toplists can be viewed, you can also search and compared user-profiles or rate your own twitter nick. The values all care about reach and impact – how far can your tweets reach how many people – to really get business value out of it, you still need some idea what the impact is good for.

Twicksize.com has an easier approach. Size matters – that’s it. The criteria are not defined any closer, but the visualization is impressive…

Much of it is fun, but what we can see is that the criteria are generally still in discussion – as with any kind of social media or even online media. Twinfluence ranks Barack Obama and Guy Kawasaki as the post powerful Twitterers, but Jerermiah Owyangs Twick is bigger then both their Twicks (and there are even bigger twicks around…)

Even if it’s not serious, any kind of measurement and kpi-definition can help us to answer some of the most important questions coming up in 2009: What is all that stuff good for, what’s the use of our media universes and where do they turn in to money? – A good answer to that will be the #1 quality sign for media projects.

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ROI Dashboard – User Experience Indicator 2

Image by Getty Images via Daylife

We need to measure what we do – that’s what we agreed on in part 1. What do we need to measure? Let’s assume we’re introducing a small state of the art 2.zeroey employee-portal in a not not small company.

The company does already run an intranet, it’s almost ten years old. People are used to it, they always complain but there’s nothing special about it.

What can be improved?

• With the new solution, it’s easier to create content, so editors can work faster.
• They have a better flow in their work, so they make less mistakes.
• The new portal offers a better navigation, so people should find content easier.
• Tags are introduced, so that should also increase findability.
• Search is improved.
• Some basic content features have been introduced, so now it is possible to create slideshows, embed videos, audios and other media – that improves the user experience and saves the editors worktime.
• Basic statistics are part of the tool (tracking the backend and the frontend).
• Wiki functionalities allow fast editing for a bigger and not so skilled audience – that saves training, editor time and user time and reduces errors.
• Blog functionalities introduce new possibilities and enhance communication.
• RSS is used for feeds – in the portal, in blogs, wikis, the other way round; they optimize the use and reuse of content.
• Comments are introduced and are a simple feedback tool for users.
• Tags, clouds, categories in the fronted are just some next generation tools in the frontend, they enhance and train the employee’s media literacy.

These are just words… They have to be transformed into measurable numbers, the numbers have to be interpretable so that they relate to values, and finally the complete package has to be transformed somewhere into money.

The desired improvements have to be transformed into trackable metrics: What are the indicators, can they be found in the cms/portal?

The metrics need to be clustered into rememorable topics, and they need a visualisation: create charts, get sample data, build words and their stories.

Finally, an obvious connection between the indicators, their behaviour and the financial development of the project has to be made visible.

Visualization: Key Values based on easily trackable indicators.

But step by step.

• In the current project, four main values could be identified: Effiency, Satisfaction, Quality, Impact. Each of these values is based on several metrics, these metrics can be combined to several graphs that indicate trends and development.
• This leads to a balanced-scorecard-like environment, where small changes on a basic level are aggregated to effects on a visible level, on a level that can be communicated on a senior management level: You don’t have to say “We are having less usercomments than last month”, but you can say “Our portal is loosing on impact”; you don’t have to talk about painful cms editor-tools, but you can talk about efficience in the work of editors or about increasing or decreasing cost per content or cost per user.
• Changes on the value level finally have to be translated into financial dynamics: where do changes in the techy metrics in the underground make you loose money, where do they make you win some?

Relations and data are quite complex by now, but it is really important to keep the dynamic parts really simple and related to as little data sources as possible – preferrably only one: Everything that comes out of the portal can be measured in the portal; everything else should have to be defined only once.

This is what we will cover in the next part.

Part 1: ROI – social media metrics based on investments in the future

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