Intelligent Personalization in Digital Marketing (PIMD)

Main Objective:

At Plestia Marketing Granada we aim to improve customer interaction and increase conversion by using artificial intelligence to personalise marketing strategies.

Project Phases:

Data Analysis and Segmentation:

Collection of customer data from various sources, such as social media interactions, purchase history, website behaviour, etc.

Implementation of segmentation algorithms to classify customers into homogeneous groups with similar preferences.

Creation of Customer Profiles:

Development of detailed customer profiles using machine learning techniques to predict future customer preferences.

Use of natural language processing (NLP) algorithms to analyse social media interactions and customer feedback.

Implementation of Personalised Recommendations:

Integration of an AI-based recommendation system to provide personalised product or service suggestions to customers.

Use of machine learning algorithms to adapt recommendations in real time based on user behaviour.

Marketing Campaign Automation:

Development of an automated marketing campaign system that dynamically adjusts content, timing and distribution channel according to customer profile and behaviour.

Implementation of chatbots with processing capabilities.