Language Ka Install Smart Analytics360 Widget On Web Pages

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Digital Business Leadership

This book provides specialists and executives with a clear, yet practical set of recommendations to meet the challenges of digital transformation and ensure long-term success as a leader in a primarily digital business world. The authors describe the fundamental principles of digitization and its economic opportunities and risks, integrating them into a framework of classic and new management methods. The book also explores how increasing digitization – not only of communication, but of complete value chains – has led to a need to establish a digital business leadership. Digitization is changing people and markets: it causes the upheaval of entire industries, creates new digital-centric companies, and forces established companies to cope with the transformation activities associated with these digitization processes. New approaches and methods have to be learned, tried and tested patterns of thinking have to be explored, and last but not least, innovation activities have to be understood as continuous necessities. At the same time, digital business offers considerable opportunities for renewing competitive advantages, improving existing process structures and realigning products, services and business models.
Attribution Modelling in Google Analytics and Beyond

Attribution modelling is the process of understanding and assigning credit to the marketing channels which eventually lead to conversions. The objective of attribution modelling is to understand the buying behaviour of your website visitors and to determine the most effective marketing channels for investment.What is this book about?This book has been written to help you implement attribution modelling in your organization. It will teach you to leverage the knowledge of attribution modelling while allocating your marketing budget and help you to understand your user's buying behaviour. In this book there is a strong focus on using Google Analytics and other Google tools and technologies, such as Google AdWords. I have explained various attribution models mainly in the context of Google Analytics. What is not included in this book?This book is not about traditional marketing mix modelling (MMM) or understanding and finding the optimal mix of the 4Ps of marketing (product, price, place and promotion). There are no chapters on regression analysis and predictive modelling. Consequently, there is little to no use of statistics in this book. This book is not about getting started with Google Analytics or how to master Google Analytics.What do you need to know in advance in order to benefit from this book?In order to get the maximum benefit from this book, you will need a working knowledge of Google Analytics and e-commerce. No knowledge of statistics or traditional marketing mix modelling is required.Who should read this book?Any person who wants to improve the online performance of their business and marketing campaigns should read this book. Online marketers, web analysts and data scientists will benefit the most from this book. If you have a strong background in traditional marketing mix modelling (MMM) you will benefit tremendously from this book because it will enable you to integrate attribution modelling data with your MMM data.
Toolbox for Marketing and Management

Modern marketing managers need intuitive and effective tools not just for designing strategies but also for general management. This hands-on book introduces a range of contemporary management and marketing tools and concepts with a focus on forecasting, creating stimulating processes, and implementation. Topics addressed range from creating a clear vision, setting goals, and developing strategies, to implementing strategic analysis tools, consumer value models, budgeting, strategic and operational marketing plans. Special attention is paid to change management and digital transformation in the marketing landscape. Given its approach and content, the book offers a valuable asset for all professionals and advanced MBA students looking for ‘real-life’ tools and applications.