WordPress Personalization Script Plugin
Development of a custom WordPress apartment personalization plugin
Client
Rednet
Industry
Real estate
Duration
3 weeks
Location
Poland
Project Author
Goals
Fully customised solution
Developing a personalized apartment recommendation script to display previously visited flats in the recommendation section, implemented as a WordPress plugin.
WordPress integration
Integrating the plugin seamlessly into the client’s existing WordPress site to ensure smooth operation and natural compatibility with the site’s infrastructure.
User tracking
User tracking is based on their click history in designated areas of the website, allowing for accurate recommendations of previously viewed flats.
AJAX-based recommendations
Using data collected through JavaScript, relevant apartments are fetched dynamically via AJAX from the WordPress backend, ensuring real-time, personalized recommendations for users.
Implementation overview
We began with a detailed brief, approved by the client, to develop a custom WordPress plugin for personalizing apartment recommendations. The goal was to display previously visited flats in a recommendation section, seamlessly integrated within the client’s existing WordPress infrastructure to maintain consistency.
The plugin tracks user interactions by recording their click history on specific areas of the website, ensuring personalized recommendations. Additionally, using JavaScript, the plugin fetches relevant apartments via AJAX from the WordPress backend, providing real-time updates for a smooth user experience. This solution was meticulously implemented to meet the client’s needs while delivering a responsive and dynamic recommendation system.
Used technologies
Summary
We developed a custom apartment personalization plugin for WordPress, seamlessly integrated into the client’s existing website. The plugin enables personalized recommendations by tracking user interactions and dynamically displaying previously visited flats through AJAX-based updates. It meets the client’s requirements while enhancing user experience with real-time, tailored recommendations. This project demonstrates our expertise in delivering custom solutions that integrate smoothly with existing systems and provide valuable, user-centric functionality.