Customers

Lessons from HubSpot, Salesforce, Gainsight and Other Iconic Brands

Estimates suggest that up to 20% of employees, customers and clients might have a neurodivergent condition - such as dyslexia, autism, Asperger's, ADHD or dyspraxia - yet these individuals often struggle to gain and maintain employment, despite being very capable. This practical, authoritative business guide will help managers and employers support neurodiverse staff, and gives advice on how to ensure workplaces are neuro-friendly. The book demonstrates that neurodiversity is a natural aspect of human variation to be expected and accepted, rather than a deficit to be accommodated.

This book introduces a fuzzy classification approach, which combines relational databases with fuzzy logic for more effective and powerful customer relationship management (CRM). It shows the benefits of a fuzzy classification in contrast to the traditional sharp evaluation of customers for the acquisition, retention and recovery of customers in online shops. The book starts with a presentation of the basic concepts, fuzzy set theory, and the combination of relational databases and fuzzy classification. In its second part, it focuses on the customer perspective, detailing the central concepts of CRM, its theoretical constructs and aspects of analytical, operational and collaborative CRM.

Customer service today brings new challenges, new protocols, and new attitudes. As a service provider, you must be prepared with solid solutions if you want to continue doing business in the post-COVID economy.

Database marketing is at the crossroads of technology, business strategy, and customer relationship management. Enabled by sophisticated information and communication systems, today’s organizations have the capacity to analyze customer data to inform and enhance every facet of the enterprise—from branding and promotion campaigns to supply chain management to employee training to new product development. Based on decades of collective research, teaching, and application in the field, the authors present the most comprehensive treatment to date of database marketing, integrating theory and practice. Presenting rigorous models, methodologies, and techniques (including data collection, field testing, and predictive modeling), and illustrating them through dozens of examples, the authors cover the full spectrum of principles and topics related to database marketing.