Website personalisation is a feature that a fair majority of websites have now introduced in order to provide customers with the information they require as providing a much more efficient and satisfying online experience through simply delivering webpage’s that are unique and dynamically modified to meet the needs and expectations of an individual user. This personalisation can be as simple as greeting registered users by their name or by determining a person’s interests based on previous purchases or website page visits. So how does it work? Web personalisation is a process of gathering and storing information about a website user which is then analysed in a way to that the correct information is delivered to the end user at the right time.
I would say that I would be highly for website personalisation simply because I believe not only does it deliver unique customised webpage content to end users but it is also time efficient as it provides the user with a range of products or services that best suit their needs and expectations through the use of previous searches or purchases, thus being one of the most popular web intelligence techniques used by many e-commerce business’ helping them to build a lasting customer relationship between the customer and the business.
As one of the most popular online e-commerce websites, ‘Amazon’ will personalise a users account page by delivering a webpage that shows a number of items the user may be interested in based on previous searches or purchases as well as using a web personalisation technique called ‘Collaborative Filtering’ which works through the use of online user ratings, whereby a user can rate the products provided. Having created a user account the website immediately delivers personalised greetings through the use of already obtained personal details such as the users name or email address.
Another feature of the Amazon website is that they provide the user with a number of product recommendations based on previous searches and purchases of both the user and users with similar interests. I feel that it is a good feature to have on a website such as Amazon as it provides many worthwhile recommendations as well as products that users may be unaware of. Currently Amazon is recommending to me a number CD’s and DVD’s as I have previously searched and bought these such products from the website.
Website personalisation will benefit any business as it will help to expand profit margins as well as boosting a company’s customer base as it helps business’ learn to understand customers interests as well as being able to see how the company itself is performing through the use of the web techniques they provide. The product recommendation feature is another way to help companies save money on the likes of advertising as customers are being recommended products of which they can click through and buy the product if they so wish instead of having to find another means of advertising the product.
Although there are many advantages to web personalisation there are also a number of criticisms too, the main one being customers complaining that it does work and a load of irrelevant products are being recommended. There could be a number of reasons for this, firstly a user could have purchased a product for a friend or child that has no interest to them whatsoever however due to having purchased this item using their account they will receive recommendation based on that product also. Another reason may be down the sheer fact that users have only purchased one or two items from the website and so are being recommended products with no significant meaning, simply because the website requires user to purchase or browse over a certain number of products before it can gain any sort of knowledge as to what products the users may be interested in.
To conclude feel that personalisation is the way forward, it is all around us we can customise desktops, interfaces, web browsers so why not do it on the web too. It is a great way to entice users to use a website as it helps to build strong relationships between the customer and the company as the company can gain an insight as to what a customer likes and provide recommendations for similar products or for example products made by they same music artist or genre.




















