Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download How to Predict what People Will Buy PDF full book. Access full book title How to Predict what People Will Buy by Louis Cheskin. Download full books in PDF and EPUB format.
Author: Louis Cheskin Publisher: Pantianos Classics ISBN: Category : Business & Economics Languages : en Pages : 256
Book Description
Psychologist and market researcher Louis Cheskin explains how to effectively package and color goods for maximum appeal to the customer. First published in the 1950s, this book has its basis in the many years of experience Louis Cheskin had in designing, marketing and selling products. The importance of color and imagery in achieving strong sales was discovered by Cheskin's team at the Color Research Institute; through showcasing products to focus groups of different demographics - male, female, old, young - they discovered how preferences differed. This research was borne out in product releases, with those following Cheskin's guidelines achieving better sales and being favored by more customers. Cheskin explains that individual people like to assume they are in full control of deciding whether to buy a given thing, arriving at a decision via the use of logic and reasoning. However, the truth is that the subconscious is a powerful force in the human psyche; whether a person's subconscious prefers a given packaging for its coloration or design traits is important - for it is the subconscious that informs, and commonly assumes precedent, over the conscious, thinking part of our brains. Revolutionary in his lifetime, the research Cheskin pioneered continues to be used by modern-day marketers and product designers. As this book demonstrates, predicting what a person will buy is both doable and crucial for success in business.
Author: Louis Cheskin Publisher: Pantianos Classics ISBN: Category : Business & Economics Languages : en Pages : 256
Book Description
Psychologist and market researcher Louis Cheskin explains how to effectively package and color goods for maximum appeal to the customer. First published in the 1950s, this book has its basis in the many years of experience Louis Cheskin had in designing, marketing and selling products. The importance of color and imagery in achieving strong sales was discovered by Cheskin's team at the Color Research Institute; through showcasing products to focus groups of different demographics - male, female, old, young - they discovered how preferences differed. This research was borne out in product releases, with those following Cheskin's guidelines achieving better sales and being favored by more customers. Cheskin explains that individual people like to assume they are in full control of deciding whether to buy a given thing, arriving at a decision via the use of logic and reasoning. However, the truth is that the subconscious is a powerful force in the human psyche; whether a person's subconscious prefers a given packaging for its coloration or design traits is important - for it is the subconscious that informs, and commonly assumes precedent, over the conscious, thinking part of our brains. Revolutionary in his lifetime, the research Cheskin pioneered continues to be used by modern-day marketers and product designers. As this book demonstrates, predicting what a person will buy is both doable and crucial for success in business.
Author: Eric Siegel Publisher: John Wiley & Sons ISBN: 1119153654 Category : Business & Economics Languages : en Pages : 368
Book Description
"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a
Author: Johnny Ch Lok Publisher: ISBN: Category : Languages : en Pages : 196
Book Description
⦁Can predict consumer behavior with web search?In behavioral economy view point, it can be applied to predict why consumers buy products from internet. Recent work has demonstrated that web search volume can "predict the present", meaning that can be used to accurately track outcomes, such as unemployment levels, auto and home sales and disease prevalence in near real time. Consumers are searching what for online can also predict their collective future behavior days or even weeks in advance. For example, specifically businessmen can use search query volume to forecast the opening weekend box-office revenue for feature films, first month sales of video games and the rank of songs, finding in all case that search counts are highly predictive of future outcomes from online google research. Finally, businessmen can reexamine previous work on tracking trends and show that, perhaps surprisingly, the utility of search data relative to a simple auto regressive model is modest.Nowadays, people increasingly use the internet for news, information and research purposes. From this perspective, it is a short step to conclude that what people are researching for today is predictive of what who will do in the near future. For example, consumers may search to prepare to buy a new camera, moviegoers may search to determine the opening date of a new film, or to locate cinemas showing it and individuals planning a vacation may search from a places of interest, to find airline tickets, or to price hotel rooms. So online can aggregately count of search queries related to retail activity. Movie going or travel might be able to predict collective behavior of economic, cultural, or political interest. Determining the nature of behavior that can be predicted using search, the accuracy of such predictions and the time scale over which predictions can be usefully made are therefore all questions of interest. Researchers have focused on the observation that search " predicts the present". For example, Ettredge et al (2005) found that counts of the top 300 search terms during 2001 to 2003 year were correlated with US Bureau Of Labor statistics Unemployment Figures; Cooper (2005) et al found that search activity for specific cameras during 2001 to 2003 year correlated with their estimated incidence and Eysenbach (2006) found a high correlation between clicks on sponsored search results of flu-related keywords and epidemiolopical data from the 2004 to 2005 year Canadian flu season.Thus, motivated, I indicate one example how investigates whether search activity is a systematic leading indicator of consumer activity by forecasting. For first example, supposing to opening weekend Box-office revenue for 119 feature films released in the united States between Oct. 2008 year and Sept. 2009. For second example, supposing to first month sales of video games across all gaming platforms, e.g. Xbox, Play station etc.) for 106 games released between Sept. 2008 and Sept. 2009 year. These search data can be collected from yahoo using research rank from the current and previous weeks. Can online search also predict the near future? A finding that may apply usually to a wide range of consumer behaviors, e.g. airline travel, hotel vacancy rates and auto sales and economic indicators, e.g. real-estate prices, credit card and confidence indicators. It seems all research based predictions simply models to build on publicly available information. For movies, baseline predictions can be used a linear model that includes production budgets, the number of screens on which each movie opened and box office projections from the Hollywood Stock Exchange (HSX) ( hsx.com) on online, play money prediction market that is known to generate information prediction. For video games, many of the key indicators of revenue, including production budgets and initial available.
Author: Daniel Gilbert Publisher: Vintage Canada ISBN: 0307371360 Category : Psychology Languages : en Pages : 336
Book Description
A smart and funny book by a prominent Harvard psychologist, which uses groundbreaking research and (often hilarious) anecdotes to show us why we’re so lousy at predicting what will make us happy – and what we can do about it. Most of us spend our lives steering ourselves toward the best of all possible futures, only to find that tomorrow rarely turns out as we had expected. Why? As Harvard psychologist Daniel Gilbert explains, when people try to imagine what the future will hold, they make some basic and consistent mistakes. Just as memory plays tricks on us when we try to look backward in time, so does imagination play tricks when we try to look forward. Using cutting-edge research, much of it original, Gilbert shakes, cajoles, persuades, tricks and jokes us into accepting the fact that happiness is not really what or where we thought it was. Among the unexpected questions he poses: Why are conjoined twins no less happy than the general population? When you go out to eat, is it better to order your favourite dish every time, or to try something new? If Ingrid Bergman hadn’t gotten on the plane at the end of Casablanca, would she and Bogey have been better off? Smart, witty, accessible and laugh-out-loud funny, Stumbling on Happiness brilliantly describes all that science has to tell us about the uniquely human ability to envision the future, and how likely we are to enjoy it when we get there.
Author: Pamela Danziger Publisher: Kaplan Publishing ISBN: 9780793186020 Category : Business & Economics Languages : en Pages : 304
Book Description
Consumers shop to satisfy emotional needs and desires-if a company is selling to emotion, then it's in the business of luxury. What motivates consumers to buy? Is it pleasure? Education? Entertainment? Status? Or just an impulse? Knowing why consumers buy what they do is the secret to predicting how they will behave in the ever-changing marketplace. In most cases, much of what people buy are items they really don't need. Focusing on the ""whys"" of spending, Danziger has meticulously profiled customers in more than 30 categories of discretionary spending through research based on surveys, interviews, and focus groups from a variety of people who make discretionary purchases. She provides readers with a vision of the future, giving them the foresight to anticipate the needs and desires of their customers. This groundbreaking guide will help marketers of all products understand the underlying motivators consumers use to both make their purchases and become satisfied, loyal customers. In Why People Buy Things They Don't Need, Danziger examines: * The 14 justifiers that give consumers ""permission"" to buy. * Trends impacting why people purchase what they do. * How to sell even more to these customers. * The future of discretionary spending.
Author: William Poundstone Publisher: Little, Brown Spark ISBN: 0316228087 Category : Psychology Languages : en Pages : 266
Book Description
A practical guide to outguessing everything, from multiple-choice tests to the office football pool to the stock market. People are predictable even when they try not to be. William Poundstone demonstrates how to turn this fact to personal advantage in scores of everyday situations, from playing the lottery to buying a home. Rock Breaks Scissors is mind-reading for real life. Will the next tennis serve go right or left? Will the market go up or down? Most people are poor at that kind of predicting. We are hard-wired to make bum bets on "trends" and "winning streaks" that are illusions. Yet ultimately we're all in the business of anticipating the actions of others. Poundstone reveals how to overcome the errors and improve the accuracy of your own outguessing. Rock Breaks Scissors is a hands-on guide to turning life's odds in your favor.
Author: Louis Cheskin
Author: Louis Cheskin
Author: LOUIS. CHESKIN
Author: Louis Cheskin
Author: Louis Cheskin
Author: Eric Siegel
Author: Johnny Ch Lok
Author: Daniel Gilbert
Author: Pamela Danziger
Author: William Poundstone
Author: Louis Cheskin