Personalisation, A Beginners Guide

Personalising website experiences is a powerful way to improve conversions and engagement. By tailoring the content and layout of a website to individual users, you can create a more relevant and engaging experience.

Personalisation can be achieved through a variety of techniques, including dynamic content, personalised layouts, navigation, and calls to action.

Dynamic content involves displaying different content to different users based on their demographics, behaviour, or preferences. For example, displaying different product recommendations to different users based on their browsing history. This can be done through the use of cookies and tracking software that can analyse user behaviour and tailor the content accordingly.

Personalised layouts involve adjusting the layout and design of a website to match the preferences of individual users. This can include things like font size, colour scheme, and overall layout. For example, adjusting the font size or colour scheme for users with visual impairments. This can be done through the use of responsive design techniques and CSS media queries that can adjust the layout based on the user's device or screen size.

Personalised navigation involves creating custom navigation menus for different types of users. For example, displaying different categories or sections to different users based on their interests. This can be done through the use of tracking software that can analyse user behaviour and tailor the navigation accordingly.

Calls to action that are personalised involve displaying different calls to action to different users based on their behaviour or preferences. For example, displaying a "buy now" button to users who have shown interest in a product, or a "sign up" button to users who have not yet registered.?

Email Personalisation is a technique of sending personalised emails to users based on their behaviour or preferences. For example, sending a cart abandonment email with a special offer to users who have left items in their cart.

Personalisation can also be done using AI-powered tools. These tools use machine learning algorithms to analyse user behaviour and make adjustments on the fly, without the need for manual testing. This allows for real-time personalisation and can provide a more seamless and efficient experience for the user.