Welcome to the world of online comping! This book is the ideal companion for anyone who is starting out in promotional marketing. It will give an informative and insightful look into the world of online promotions and help you to run your own successful campaigns. This is the third book in the "Win Competition Online" series focusing on you the promoter. Now, there will be a bit of competition advice thrown in, it's still a comping book after all, but this is where you the promoter will take centre stage. Winning the new business over your competitors or just winning more exposure for your brand and company; let's get you in tip top shape. You don't have to be a marketing wiz or PR darling to understand my books. They're set out in plain and simple English; jargon free and full to the brim with insightful information; you lucky promoter you. Now, on with the campaign.... With this UK Edition you can: Learn what it takes to become a first class promoter Set up promotions using social media Work at your best in advertising ...And much, much more! Facebook.com/wincompetitionsonline Twitter.com/wincompsonline Wincompetitionsonline.com Author: David Fuentes Cover Design: Thomas Phipps"
This book tells you how to publish online advertisements easily and quickly. Step-by-step instructions and illustrations reveal how to set up your own free ad server, change out ads fast, on one or many websites, and increase website income. "Ad Serving For Online Publishers" is specifically for website owners, website administrators, and ad agency brokers who need to control Internet marketing campaigns, multiple banner ads, product ads, and affiliate promotions, with more choice over where, when, and to whom advertising is displayed. In this book you will discover how to: - improve monetization of a website with advertising - correctly format advertiser text links, display ads, and affiliate ads - set up campaigns and control conditions of delivery - place your ads where viewers notice them - automatically have ads display in preferred locations without coding - accommodate desktop, tablet, and smartphone users - track ad performance and generate revealing reports - optimize your ad campaigns to increase revenue
Advertising today is not only under sterner scrutiny by the various federal regulatory and judicial bodies but is also facing an ominous storm of public criticism because of certain abuses. One of the big questions troubling advertisers, agencies and media is whether advertising will be subject to increasingly stringent governmental controls or whether it will forestall such action by mature self-regulation. InAdvertising at the Crossroads the author has attempted to face the issue squarely and realistically, and to point out several constructive measures that advertising must initiate in its self-interest.
First published in 1952.
This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications. It is self-contained and unified in presentation, which makes it ideal for use as an advanced textbook by graduate students and as a reference for independent researchers. The explanations in the book are detailed enough to capture the interest of the curious reader, and complete enough to provide the necessary background material needed to go further into the subject and explore the research literature.In this book the authors present Bayesian methods of analysis for nonlinear, hierarchical mixture models, with a finite, but possibly unknown, number of components. These methods are then applied to various problems including population pharmacokinetics and gene expression analysis. In population pharmacokinetics, the nonlinear mixture model, based on previous clinical data, becomes the prior distribution for individual therapy. For gene expression data, one application included in the book is to determine which genes should be associated with the same component of the mixture (also known as a clustering problem). The book also contains examples of computer programs written in BUGS. This is the first book of its kind to cover many of the topics in this field.
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