�ݺ�ߣshows by User: eribero

�ݺ�ߣshows by User: eribero / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: eribero / Mon, 29 Mar 2021 00:20:56 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: eribero Conjoint analysis with mcmc /slideshow/conjoint-analysis-with-mcmc/245225756 conjointanalysiswithmcmc-210329002056
The report describes the results of a Discrete Choice Experiment (a type of Conjoint-Analysis) to explore the potential configuration of a tablet computer from a new entrant to the category.]]>
The report describes the results of a Discrete Choice Experiment (a type of Conjoint-Analysis) to explore the potential configuration of a tablet computer from a new entrant to the category.]]> Mon, 29 Mar 2021 00:20:56 GMT /slideshow/conjoint-analysis-with-mcmc/245225756 eribero@slideshare.net(eribero) Conjoint analysis with mcmc eribero The report describes the results of a Discrete Choice Experiment (a type of Conjoint-Analysis) to explore the potential configuration of a tablet computer from a new entrant to the category. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/conjointanalysiswithmcmc-210329002056-thumbnail.jpg?width=120&height=120&fit=bounds" /> The report describes the results of a Discrete Choice Experiment (a type of Conjoint-Analysis) to explore the potential configuration of a tablet computer from a new entrant to the category.

Conjoint analysis with mcmc from Esteban Ribero

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0 Binary search query classifier /slideshow/binary-search-query-classifier-245224467/245224467 binarysearchqueryclassifier-210328235220
In this paper, I develop a custom binary classifier of search queries for the makeup category using different Machine Learning techniques and models. An extensive exploration of shallow and Deep Learning models was performed using a cross-validation framework to identify the top three models, optimize them tuning their hyperparameters, and finally creating an ensemble of models with a custom decision threshold that outperforms all other models. The final classifier achieves an accuracy of 98.83% on a test set, making it ready for production.]]>
In this paper, I develop a custom binary classifier of search queries for the makeup category using different Machine Learning techniques and models. An extensive exploration of shallow and Deep Learning models was performed using a cross-validation framework to identify the top three models, optimize them tuning their hyperparameters, and finally creating an ensemble of models with a custom decision threshold that outperforms all other models. The final classifier achieves an accuracy of 98.83% on a test set, making it ready for production.]]> Sun, 28 Mar 2021 23:52:19 GMT /slideshow/binary-search-query-classifier-245224467/245224467 eribero@slideshare.net(eribero) Binary search query classifier eribero In this paper, I develop a custom binary classifier of search queries for the makeup category using different Machine Learning techniques and models. An extensive exploration of shallow and Deep Learning models was performed using a cross-validation framework to identify the top three models, optimize them tuning their hyperparameters, and finally creating an ensemble of models with a custom decision threshold that outperforms all other models. The final classifier achieves an accuracy of 98.83% on a test set, making it ready for production. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/binarysearchqueryclassifier-210328235220-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this paper, I develop a custom binary classifier of search queries for the makeup category using different Machine Learning techniques and models. An extensive exploration of shallow and Deep Learning models was performed using a cross-validation framework to identify the top three models, optimize them tuning their hyperparameters, and finally creating an ensemble of models with a custom decision threshold that outperforms all other models. The final classifier achieves an accuracy of 98.83% on a test set, making it ready for production.

Binary search query classifier from Esteban Ribero

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0 Campaign response modeling /eribero/campaign-response-modeling campaignresponsemodeling-210328231304
A large appliance manufacturer was interested in using propensity models to better target consumers with direct mail campaigns. A data set containing transactional data from past purchases and enriched with all kinds of data about the consumer, the household or the zip code, from third party providers was used to develop a model to predict non-responders and avoid targeting them. Simulations varying the estimated revenue per customer and the cutoff point used to filter out potential consumers allowed me to identify different optimal point in the Reach-vs-Response-Rate tradeoff.]]>
A large appliance manufacturer was interested in using propensity models to better target consumers with direct mail campaigns. A data set containing transactional data from past purchases and enriched with all kinds of data about the consumer, the household or the zip code, from third party providers was used to develop a model to predict non-responders and avoid targeting them. Simulations varying the estimated revenue per customer and the cutoff point used to filter out potential consumers allowed me to identify different optimal point in the Reach-vs-Response-Rate tradeoff.]]> Sun, 28 Mar 2021 23:13:04 GMT /eribero/campaign-response-modeling eribero@slideshare.net(eribero) Campaign response modeling eribero A large appliance manufacturer was interested in using propensity models to better target consumers with direct mail campaigns. A data set containing transactional data from past purchases and enriched with all kinds of data about the consumer, the household or the zip code, from third party providers was used to develop a model to predict non-responders and avoid targeting them. Simulations varying the estimated revenue per customer and the cutoff point used to filter out potential consumers allowed me to identify different optimal point in the Reach-vs-Response-Rate tradeoff. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/campaignresponsemodeling-210328231304-thumbnail.jpg?width=120&height=120&fit=bounds" /> A large appliance manufacturer was interested in using propensity models to better target consumers with direct mail campaigns. A data set containing transactional data from past purchases and enriched with all kinds of data about the consumer, the household or the zip code, from third party providers was used to develop a model to predict non-responders and avoid targeting them. Simulations varying the estimated revenue per customer and the cutoff point used to filter out potential consumers allowed me to identify different optimal point in the Reach-vs-Response-Rate tradeoff.

Campaign response modeling from Esteban Ribero

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0 Consumer Segmentation with Bayesian Statistics /slideshow/consumer-segmentation-with-bayesian-statistics/245152865 consumersegmentationwithpolca-210327021007
Report describing the process and results of a market segmentation analysis for a new entrant into the Consumer Entertainment App Industry.]]>
Report describing the process and results of a market segmentation analysis for a new entrant into the Consumer Entertainment App Industry.]]> Sat, 27 Mar 2021 02:10:06 GMT /slideshow/consumer-segmentation-with-bayesian-statistics/245152865 eribero@slideshare.net(eribero) Consumer Segmentation with Bayesian Statistics eribero Report describing the process and results of a market segmentation analysis for a new entrant into the Consumer Entertainment App Industry. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/consumersegmentationwithpolca-210327021007-thumbnail.jpg?width=120&height=120&fit=bounds" /> Report describing the process and results of a market segmentation analysis for a new entrant into the Consumer Entertainment App Industry.

Consumer Segmentation with Bayesian Statistics from Esteban Ribero

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0 Modeling Sexual Selection with Agent-Based Models /slideshow/sexual-selection-abm/198746018 sexualselectionabm-191128070134
The paper discusses a well-known principle in evolutionary biology called the handicap principle. Two agent-based-models were developed to illustrate the principle in an attempt to better understand its implications for the study of human behavior.]]>
The paper discusses a well-known principle in evolutionary biology called the handicap principle. Two agent-based-models were developed to illustrate the principle in an attempt to better understand its implications for the study of human behavior.]]> Thu, 28 Nov 2019 07:01:33 GMT /slideshow/sexual-selection-abm/198746018 eribero@slideshare.net(eribero) Modeling Sexual Selection with Agent-Based Models eribero The paper discusses a well-known principle in evolutionary biology called the handicap principle. Two agent-based-models were developed to illustrate the principle in an attempt to better understand its implications for the study of human behavior. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sexualselectionabm-191128070134-thumbnail.jpg?width=120&height=120&fit=bounds" /> The paper discusses a well-known principle in evolutionary biology called the handicap principle. Two agent-based-models were developed to illustrate the principle in an attempt to better understand its implications for the study of human behavior.

Modeling Sexual Selection with Agent-Based Models from Esteban Ribero

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0 The Learning Lab /slideshow/the-learning-lab/198544417 thelearninglab-191127203843
A focused practice aimed at using simulations from simple System Dynamics models to help us better understand the intended and unintended consequences of our actions.]]>
A focused practice aimed at using simulations from simple System Dynamics models to help us better understand the intended and unintended consequences of our actions.]]> Wed, 27 Nov 2019 20:38:43 GMT /slideshow/the-learning-lab/198544417 eribero@slideshare.net(eribero) The Learning Lab eribero A focused practice aimed at using simulations from simple System Dynamics models to help us better understand the intended and unintended consequences of our actions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thelearninglab-191127203843-thumbnail.jpg?width=120&height=120&fit=bounds" /> A focused practice aimed at using simulations from simple System Dynamics models to help us better understand the intended and unintended consequences of our actions.

The Learning Lab from Esteban Ribero

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0 Brand Communications Modeling: Developing and Using Econometric Models in Advertising. An Example of a Full Modeling Process. /slideshow/brand-communications-modeling-developing-and-using-econometric-models-in-advertising-an-example-of-a-full-modeling-process/17092496 estebanspr-130310233711-phpapp01
This report presents a description and a complete example of the modeling process required to build a comprehensive market response model that would account for the impact of previous marketing actions on sales.]]>
This report presents a description and a complete example of the modeling process required to build a comprehensive market response model that would account for the impact of previous marketing actions on sales.]]> Sun, 10 Mar 2013 23:37:11 GMT /slideshow/brand-communications-modeling-developing-and-using-econometric-models-in-advertising-an-example-of-a-full-modeling-process/17092496 eribero@slideshare.net(eribero) Brand Communications Modeling: Developing and Using Econometric Models in Advertising. An Example of a Full Modeling Process. eribero This report presents a description and a complete example of the modeling process required to build a comprehensive market response model that would account for the impact of previous marketing actions on sales. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/estebanspr-130310233711-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> This report presents a description and a complete example of the modeling process required to build a comprehensive market response model that would account for the impact of previous marketing actions on sales.

Brand Communications Modeling: Developing and Using Econometric Models in Advertising. An Example of a Full Modeling Process. from Esteban Ribero

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0 ARF RE:THINK 2005. The Extension of The Concept of Brand to Cultural Event Marketing /slideshow/arf-final-editprint/17092210 arffinaleditprint-130310232110-phpapp02
Paper presented at the ARF RE:THINK 2005 conference in NYC.]]>
Paper presented at the ARF RE:THINK 2005 conference in NYC.]]> Sun, 10 Mar 2013 23:21:10 GMT /slideshow/arf-final-editprint/17092210 eribero@slideshare.net(eribero) ARF RE:THINK 2005. The Extension of The Concept of Brand to Cultural Event Marketing eribero Paper presented at the ARF RE:THINK 2005 conference in NYC. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/arffinaleditprint-130310232110-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Paper presented at the ARF RE:THINK 2005 conference in NYC.

ARF RE:THINK 2005. The Extension of The Concept of Brand to Cultural Event Marketing from Esteban Ribero

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0 Is looking at consumers' brain the ultimate solution? /slideshow/thesquestforthetruth/16209408 thesquestforthetruth-130127213326-phpapp02
The idea of using the latest techniques in the field of neuroscience to study consumer behavior has become a hot topic. The presentation delves into the debate over borrowing knowledge and techniques from neurosciences to bypass consumers’ rationalizations and get to the truth about their behavior. My point of view is that the answer is not in consumers’ brains but in ours: Strategists and Creatives, who are the endless students of human behavior. This presentation was given at the 2007 AHAA Conference in NYC.]]>
The idea of using the latest techniques in the field of neuroscience to study consumer behavior has become a hot topic. The presentation delves into the debate over borrowing knowledge and techniques from neurosciences to bypass consumers’ rationalizations and get to the truth about their behavior. My point of view is that the answer is not in consumers’ brains but in ours: Strategists and Creatives, who are the endless students of human behavior. This presentation was given at the 2007 AHAA Conference in NYC.]]> Sun, 27 Jan 2013 21:33:26 GMT /slideshow/thesquestforthetruth/16209408 eribero@slideshare.net(eribero) Is looking at consumers' brain the ultimate solution? eribero The idea of using the latest techniques in the field of neuroscience to study consumer behavior has become a hot topic. The presentation delves into the debate over borrowing knowledge and techniques from neurosciences to bypass consumers’ rationalizations and get to the truth about their behavior. My point of view is that the answer is not in consumers’ brains but in ours: Strategists and Creatives, who are the endless students of human behavior. This presentation was given at the 2007 AHAA Conference in NYC. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thesquestforthetruth-130127213326-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> The idea of using the latest techniques in the field of neuroscience to study consumer behavior has become a hot topic. The presentation delves into the debate over borrowing knowledge and techniques from neurosciences to bypass consumers’ rationalizations and get to the truth about their behavior. My point of view is that the answer is not in consumers’ brains but in ours: Strategists and Creatives, who are the endless students of human behavior. This presentation was given at the 2007 AHAA Conference in NYC.

Is looking at consumers' brain the ultimate solution? from Esteban Ribero

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0 https://cdn.slidesharecdn.com/profile-photo-eribero-48x48.jpg?cb=1715012676 Analytical and creative strategist with 15+ years of experience in brand strategy, consumer engagement (digital and traditional), shopper marketing, analytics, and innovation. I have strong analytical skills and a creative mind and I love working with people and develop teams. Understanding human behavior is my core expertise and I excel at it. As an avid practitioner of behavioral economics I serve as a bridge connecting behavioral sciences with marketing. I have a solid background in psychology, advertising, analytics, and dynamic simulations. I build computer models and simulation games to better understand the strengths and drawbacks of marketing strategies. www.estebanribero.com https://cdn.slidesharecdn.com/ss_thumbnails/conjointanalysiswithmcmc-210329002056-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/conjoint-analysis-with-mcmc/245225756 Conjoint analysis with... https://cdn.slidesharecdn.com/ss_thumbnails/binarysearchqueryclassifier-210328235220-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/binary-search-query-classifier-245224467/245224467 Binary search query cl... https://cdn.slidesharecdn.com/ss_thumbnails/campaignresponsemodeling-210328231304-thumbnail.jpg?width=320&height=320&fit=bounds eribero/campaign-response-modeling Campaign response mode...