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Why Charles Darwin would hate your website
Digital marketing is a dog eat dog world. Survival of the fittest. Darwinian, even. So why don’t more people take a leaf out of Darwin’s scientific notebook and use his theory of evolution as a way to thrive in a competitive environment?
Often brands’ websites seem to revolve rather than evolve: they are produced, launched with fanfare, then updated with new content on a very occasional basis, until, a few years later, the design looks terribly dated and the agency gets a new brief to start the whole process again.
Darwin would be shaking his head at this lack of evolutionary insight. Why? Because you’re most likely losing money and frustrating your customers, while letting the competition get the edge. Your site needs to improve and evolve with its users. People are browsing on many different devices, learning new user interface patterns daily and ultimately becoming less forgiving of bad web experiences.
From working with brands like BBC Children in Need, IKEA and Honda we’ve found a way of approaching your web site’s development based on the scientific method. It works really well, and is repeatable and scalable. We think that web design needs some science, so grab your lab coat and goggles - and let’s get to work.
Design is guesswork
It’s worth watching this one minute video of Richard Feynman - world renowned scientist and Nobel Prize winner - in which he explains The Scientific Method. Feynman says: “First, we guess it.” Now design - even design by an experienced designer, complete with user feedback and best practice - is also guesswork. Until people, at scale, have used your design (not in a lab, but on the train or watching TV or whatever) then you do not know how well it works. It is a hypothesis that has yet to be proven.
As Feynman says: “If it disagrees with experiment, it’s wrong. In that simple statement is the key to science. It doesn’t make any difference how beautiful your guess is, it doesn’t matter how smart you are who made the guess, or what his name is… If it disagrees with experiment, it’s wrong. That’s all there is to it.”
Isn’t that almost exactly what happens with a web design? It’s beautiful, all the team love it, it’s fixed in the brand guidelines - but maybe it’s wrong. Or maybe not wrong, just not as effective as it could be - but by the time you find out, you’ve wasted a lot of web traffic.
Treat failure like a scientist
Marketers need to get comfortable with small, focused, iterative changes based on data. This working method should become ‘what you do’ every day, in effect treating failure like a scientist would - a data point on the way to success.
This approach to web design evolution has three distinct stages:
Step 1: In The Beginning
Before you do anything, and assuming you have an existing web site, you need to understand where your digital world is at. By looking at your site traffic, and more advanced analytics like heatmap data, and undertaking qualitative discussion with site users, you achieve a more rounded picture.
How exactly do customers buy from you? What parts of the site are confusing? How is the copy written (remember that ‘copywriting is interface design’)? What do you actually WANT the customer to do? What are customers frustrated with? What could we do to make customer’s lives easier?
Once you have a good grasp of what you want, and what the real experience of your web site is, you can start the evolutionary task of marrying them together.
Step 2: Man’s Red Fire
Focus your resources based on your business priorities, i.e. maximize your development budget by doing the right things in the right order, from the perspective of profit or site objectives.
How do you find this out? By mapping your sales funnel you can do some math on the value of each person in each part of the funnel. Not all site visitors are created equal (e.g. people dropping out at the checkout would usually warrant more urgent attention than people bouncing from your home page). If you understand the value of each customer at each stage, you can plot design improvements against the customer’s potential value. You therefore can see how to achieve more bang for your buck.
This means that you can prioritise your workload with far greater precision, focusing only on the activity which should get the best results most quickly. Success breeds success, and a better performing site will unlock more budget for future investment.
Step 3: Eat, Sleep, Test, Repeat
Having identified the activity to prioritise, in Step 3 we measure its success.
For example, you may want to increase click-through on the home page to visit a promotions page. You can test this by A/B testing (that means sending traffic simultaneously to two different pages) a red button and a blue button. Data will show you which performs best, then you move all traffic to the best performing colour.
We’d recommend focusing on what are called (in Silicon-Valley-startup-land) ‘actionable metrics’. That means data that you do something about when you learn of it. This again requires focus - as you should only have a handful of actionable metrics, the most important data points for the business at this time. Any more than that and you risk drowning in data: too much noise and not enough signal.
We like to create ‘Measurement Scorecards’ for clients that focus and record results in a single page, and that can be evolved themselves over time to address the different recommendations identified in Step 2, or based on test results.
The appliance of science
We recently worked with a leading online grocer that was struggling with customer sign-ups. They knew if they could get customers to shop with them five times then they became loyal customers. But a significant drop-out rate of people signing up - let alone shopping once - was a major roadblock for the sustainable growth of high value customers.
We mapped the customer journey through the entire website from homepage, to sign up, to the shopping experience itself. We then compiled a list of recommendations all linked to each stage of the web site journey. This allowed us to identify exactly what the business benefit would be, by correcting the parts of the customer journey which most directly linked to specific design proposals.
The results? After implementing the changes the drop off rate reduced significantly and the sign-up rate increased by 50 per cent.
With such great potential results, the question shouldn’t be “can I do this?” but “when can I start?”. Like any Darwinian journey it starts with a single - simple - step. If you follow our 3 stages above then you will be on the path to a more scientifically managed web site.
Daniel Kirby is chief executive officer of Techdept.
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