Artificial Intelligence Propensity to Buy Algorithms: Technical Foundations and Applications in E-Commerce Propensity to Buy (PTB) algorithms are machine learning models that predict the likelihood of a customer purchasing a product or service.
Artificial Intelligence Propensity to Buy Algorithms: Transforming Retail and Fashion with Data-Driven Insights Propensity to buy algorithms are revolutionizing how businesses predict customer behavior, optimize marketing strategies, and drive growth.
E-commerce Come Utilizzare i RAG per Personalizzare l'E-commerce: Guida Completa 2025 La personalizzazione dell'esperienza d'acquisto attraverso i RAG (Retrieval Augmented Generation) rappresenta una rivoluzione nel mondo dell'e-commerce. Con oltre 24 milioni di ricerche mensili per "chatgpt" negli USA, questa tecnologia sta ridefinendo il modo in cui i brand interagiscono con i propri clienti.
Data Analysis Real-World applications of RAG in Retail: drive customized product recommendation system Use the live chat to provide customized contents like product Recommendao
Data Analysis Analyze Reddit Communities with RAG to find pains and ICPs Analyzing Reddit Content with an n8n Workflow
Data Analysis Why having a data-driven strategy is the best way to grow your business In today's fast-paced business environment, a data-driven strategy is no longer optional; it’s essential for growth. By implementing a RAG (Red, Amber, Green) system to evaluate your performance metrics, you can make informed decisions that will propel your business forward. Let’s explore why this approach is
Data Analysis Identify top-selling products for creating Dynamic Feeds In the age of data-driven advertising, personalization is no longer a luxury—it’s an expectation. One particularly effective strategy involves creating dynamic carousels tailored to specific customer clusters. By leveraging machine learning and data integration tools, you can identify high-performing products for each cluster and dynamically advertise them to
Data Analysis How to Uplift Lifetime Value Recommending the Right Products in Ads Campaigns Make your customers happy to buy from you! It's something I usually see missing out on much online e-commerce, and it's something that those in the field look at as a secondary metric (or for nothing). I'm not agree who is usually working to
Data Analysis How to Calculate Average Time Between Orders: A Step-by-Step Guide Understanding customer behavior is critical for businesses, especially in e-commerce and subscription-based models. One key metric that provides valuable insights into customer purchasing habits is the average time between orders (ATBO). This metric helps you identify how often your customers make repeat purchases, allowing you to improve inventory management, marketing
