Quick guides

Articles tagged Quick guides

A quick guide to customer retention

There are two main ways you can grow the customer base of a business: you can either acquire more customers by increasing your customer acquisition rate, or you can improve...

A quick guide to the RFM model for data scientists

The RFM model is probably one of the best known and most widely used customer segmentation models by data driven marketers. It’s used for both measuring customer value and predicting...

A quick guide to customer segmentation for B2B e-commerce

Customer segmentation, and the similar and related field of market segmentation, are particularly relevant to the field of business-to-business (B2B) e-commerce. B2B customers often have a higher Customer Lifetime Value...

A quick guide to lead scoring for B2B e-commerce sites

Lead scoring is a Customer Relationship Management (CRM) process that involves segmenting CRM contacts based on their likelihood to make a purchase. Lead scoring is applied to both existing customers...

A quick guide to customer segmentation for data scientists

Customer segmentation is the process of using data science techniques to create discrete groups of customers which share common characteristics or attributes. For example, a company might segment customers into...

A quick guide to Product Attribute Extraction models

Product attributes, such as size, weight, wattage, or colour, are critical in ecommerce as they help customers find and select the right product for their needs. However, obtaining, adding, and...

A quick guide to Next-Product-To-Buy models

A Next-Product-To-Buy (or NPTB) model is designed to help retailers and marketers improve the effectiveness of cross-selling product recommendations by predicting the product each customer would be most likely to...

A quick guide to machine learning

Machine learning (ML) is a branch of artificial intelligence (AI) in which models are created to predict an outcome by learning from patterns present in data. They can automatically improve...

A quick guide to machine learning uplift models

Uplift modeling is a machine learning technique used in marketing and ecommerce to predict which customers are likely to respond to a particular marketing campaign. However, rather than simply predicting...

A quick guide to Learning to Rank models

On-site search in ecommerce has improved massively in recent years, thanks to search systems such as Lucene, Solr, Algolia, and Elastic. Despite on-site search generating massive amounts of revenue for...