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All posts tagged big toe

Competition, competition, competition.

I think I have been naughty. I have completed the creation of the Big.TOE spec ready for formal sign-off… and I did it before looking in detail at the competition. Hmm, naughty indeed.

“But, but, but, I was really busy and everything was…” SHUT UP! Leave the excuses and move on. As it turns out we’re safe, and this is due to Big.TOEs collaborative element. Big.TOE had been guided by colleagues into a niche that not only exists, but suits our ethics here at Connected.

Phew, thanks guys!

So I spent a day looking at the competition in detail, and then sighed with relief. They are all so complicated. Even the free stuff. You’ve got to spend hours of annoying time-waste to get the answer to the simple question “How well are banners doing?”. And when you get the answer you’re surrounded by an infinite number of ways to see it. Very very naff and annoying.

Another ‘sigh-of-relief-inducer’ is that they nearly all use third-party cookies which a visitor can opt out of. Woah. What a way to undermine your reporting. Cue shameless Big.TOE plug:

  • Big.TOE is server side reporting, so no third-party cookies.
  • Big.TOE follows the principle of KISS (Keep It Simple Stupid) and will be bloody easy to use!!

So bring on the competition!

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This week we also delved a layer deeper into the inner workings of Big.TOE and gulped again.

Actually it doesn’t look too bad. We have a list of features for the first release and a technical plan (first draft) of how it will be achieved. There is some stuff to learn (like xml and excel) but it should piece together fine. The eye opener is how much bigger things look when you go deeper, it really is like descending from 30,000 ft.

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Well, now I have just gone and changed everything.

We – almost all of the company techs – were unanimously decided to base Big.TOE on XML. XML was to be the glue to stitch the different parts together. But now I have found something called Highcharts, which is just luuurvely. Its a 100% JavaScript graph building suite… and its luuurvely.

Highcharts is very attractive for many reasons; here are the main ones:

A example highcharts graph

An example HighCharts Graph

  • The graphs are just ace. The graphs are really really really ace!
  • Its on the front end, offering tasty interaction between the graphs and the clients
  • Very flexible with the data sent to them.
  • Its JavaScript, giving opportunity to develop it, or tweak it.
  • The graphs are just ace.

It can work with xml, but it doesn’t off the shelf. Now I want to use this, cos I like it. So I just have to persuade everyone else to agree to its loveliness. We can keep xml – if we still want it – for later upgrades. Trust me ;-)

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So week 1 of my first project and the pressure is on. Proper on. As in ‘ring spasm-ingly on’. But thats cool, I can handle that.

Gulp.

How the hell can you ‘Project Manage’ a vague idea into a product? How do you start?… Well here is the thought process we (I got some help from the guys in the office cos I was blundering round like a blind dog) went through to turn the vagueness into something more solid, albeit still an idea:

  1. We (Connected) decided we wanted something. We have been calling it BIG.Toe for a long time and everyone has a sense of what it is. A window into VITES, a face to VITES.
  2. We looked at who we could sell it to – in fact – who we needed to sell it to.
  3. We came to the conclusion of marketers.
  4. We looked at who marketers were – ‘busy, non-tech etc…’
  5. We looked at what general features marketers want (note we haven’t got a product yet).
  6. We married what Big.TOE could provide to what marketers want (idea of product)
  7. We populated a list of features that agreed on this marriage (a product)
  8. We then broadly spec’d the product, which for us was mapping an interface, (note the spec was very broad indeed.)

Phew! Thanks guys we have an idea for a product! :-)

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I had a milestone to present a scope accompanied by a spec to the boss which was coming up so that was the next stage. So I took the broad spec we drew up in the thinking-meeting the day before and completely annihilated it. I owned it. I questioned every aspect of it, attempting to keep the goals of Big.TOE in mind and I did a bloody good job. I managed to reduce a multi-page spec with drill down navigation down to three (yes 3) pages, with only 4 form fields, all in the aim of applying KISS. Our clients don’t want Big.TOE to be a complicated thing to use.

As it turned out I had missed a couple of elements… but that is fine. I talked about Big.TOE to my colleagues and these holes were quickly filled in. Essentially the spec had been through a transformation and had become more refined… It was good fun that. Whapap!

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Received some advice. “Be careful with time estimations“. You’re better off saying I don’t know, give me a day (or half a day) to make an estimate then blurting one out. People will hold you to an estimate; not to the minute, but if you’re 500% off – see linked article below – then you can end up in a world of pain.

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I have been at Connected for over 16 months. Throughout this time I have heard the term Big.TOE mentioned several times and never understood it. When I first got here I didn’t understand anything, and when I would request explanations on this interestingly named… thing, I would be told it means “Business Intelligence Group Theory of Everything” and nothing else.

As time went by and as I learnt more, and learnt quickly, I received more in-depth answers on Big.TOE but they were still vague; it was never defined to me in the simple terms of ‘Big.TOE is this’. But over time I built a picture of what Big.TOE is or – more to the point – what it is going to be.

Big.TOE is going to be the best use of the data from VITES. Specifically it’ll be a reporting tool.

So, recently, Big.TOE was kicked off by inviting most of the guys for a meeting to discuss the ideas and goals of Big.TOE and to push it into production, I raised my hand to be the ‘project sponsor’, and I was selected. As this is my first project it was suggested that I write a diary… so here we are. The diary will follow in weekly installments.


Back in 2005 Google acquired a great little analytics company, Urchin and shortly afterwards shook up the web analysis world by offering the previously chargeable product for free. It’s progress over the last 5 years has been one of Google’s great success stories and around half of the respectable commercial sites in the world use the application to provide web analytics. It’s great. Except that as features have been added it has got progressively more complex to use. But does it need to be this complex that you have to hire Accenture to provide you with the clarity to read GA results? Google think so and started an Analytics Authorised Consultant programme to provide support, skills and management to accompany it’s free application.

I don’t think it needs to be that complex. True, most organisations will have some specific needs but 90% of the needs of most marketers should be simple to provide in an easy-to-digest application as most really only need to know:

# Which traffic streams generate what business and how much does that cost

# What is the conversion rate for each of the traffic streams and calls-to-action

# What’s the availability of the web service like and how does the outside world see it’s performance

# How are my A/B tests going, winners and losers please

# If I am using profiling on the web what are the relative performance metrics for each of the profiles

# Some historical reporting on overall performance

Google does indeed do most of this and if you had the time and inclination you could learn how to use the systems and pick out the 10 or so important metrics. Many marketers don’t. This is further hampered by the self-serving approach of most GA Authorised Consultants, as we all know that the first recommendation a consultant makes it order more consultancy!

This has been bugging us (and our clients) for a while so we’re in the process of developing a simpler web performance tool that focusses on the needs of marketers. We’re not suggesting you dump GA quite yet, merely that you consider a simpler, clearer approach to understanding web performance. KISS.

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#6699014There are lots of really good analytics packages available on t’internet – some of them are actually quite good and most of them actually do what they say on-the-tin, so to speak. There does seem to be a belief that “analytics” will save the day and drive down acquisition costs, improve conversion rates and a bunch of other, secret-Santa-type rubbish.

The applications themselves will do nothing of the sort, they need to be used by people who know a) what the data represents and b) how to bring that knowledge to bear in an organisation’s structure. The only experts are the people who have been taught how to use the applications and, to be frank, even the most complex of the analytics systems only take a few weeks to master.

*anyone remember “hit counters” from the late 1990′s? How many bad decisions came from those little beauties?

Reasons to be cautious

The fast growth of the analytics field over the last few years shows how the market is shifting from simple PPC/CPC strategies to more complex, decision-based, thinking as companies attempt to seek competitive advantage in just a few tiny areas (Google Adwords, for example).

There is undoubtedly benefits to be found using basic analytics tools mixed in with a dose of common sense but we have to avoid defining the whole business strategy around just one element of the process (acquisitions).

Good business practice is often struggling in hand-to-hand combat with marketing departments that have recently acquired (via PPC and basic analytics) the “keys to the door”. There is always a bigger picture. In some cases the analytical data, and it’s interpretation, is so flawed as to be a liability to the medium-term survival of the business. Is this risky? You bet it is.

But it’s also an opportunity. Whilst organisations are fighting over the last 0.1% of new visitor acquisitions (and paying a heavier and heavier penalty to do this) it becomes patently clear that they are overlooking huge great areas in which improvements to the business could yield faster, easier, cheaper and more unique improvements.

You just need to stand back and look at the whole vista. If you are missing any pieces of the jigsaw then corporate amnesia can occurs when one part of the organisation makes a decision which very clearly did not account for other key data sitting elsewhere in the enterprise.

Most organisations should, but do not, run any kind of knowledge management so not only are mistakes repeated but good practice is continually replaced with bad practice in a kind of suicide cycle of ever decreasing returns. It’s pretty painful to watch and requires a dramatic philosophy change to remove the source of the addiction.

What’s missing?

Climbing a mountain might have to be done one step at a time, starting from the bottom. Building a successful internet strategy is a whole lot easier. We can jump around trying new stuff going up and down the mountain as we please – as long as we know the journey has a point and purpose. This is the strategy.

If you take a close look at the online world you will see it is jerked around back-and-forth chasing some perceived nirvana – burning valuable resources that could be better deployed building new strategies and communicating great vision. Why?

The gulf between interpreting really useful data and a solid understanding of the business and organisational aims of the participants is dramatic. This is where traditional “Management Information” systems are supposed to sit, supporting business-level decisions with accurate, complete vision, information. This is a little harder on the web for a number of reasons:

  1. An exponentially larger range of information is gathered in the online world, too much for classic MI systems
  2. The information changes so fast, so much more information is available every day that decision criteria date too quickly
  3. Easy use of pure metrics (£1 in, £5 out) is so appealing at the front-end of the funnel that the real business strategy needs take a backseat to tactical day-to-day operational needs.

What’s then needed is a single system that can interpret the vast amounts of raw data collected at the front-end moderated with the softer business nuances of the customer journey, whole-of-life value, net profit and organisational good-will. What’s also needed is a clear understanding of the value that individual customers bring and how to harness this value in the most cost effective manner.

These systems are coming, most are bespoke for the moment, and will replace basic analytics.

About VITES BIG.TOE

Currently in Alpha and due for full Beta launch in Q3 2010. (B)usiness (I)nformation (G)roup – (T)heory (o)f (E)verything is a collection of modules that plug-into Connected’s VITES platform to provide end-to-end management information across the whole of a customer journey including cost of acquisition, enquiry, sale and retention as well as providing profit information and granular sales cycle information.

BIG.TOE is a major development plan and a supported programme is available under limited release to clients. If you are interested then please contact Martin Dower, CEO.