Retail clients latent segments

Latent Segments Models (LSM) are commonly used as an approach for market segmentation. When using LSM, several criteria are available to determine the number of segments. However, it is not established which criteria are more adequate when dealing with a specific application. Since most market segmentation problems involve the simultaneous use of categorical and continuous base variables, it is particularly useful to select the best criteria when dealing with LSM with mixed type base variables. We first present an empirical test, which provides the ranking of several information criteria for model selection based on ten mixed data sets. As a result, the ICL-BIC, BIC, CAIC and L criteria are selected as the best performing criteria in the estimation of mixed mixture models. We then present an application concerning a retail chain clients' segmentation. The best information criteria yield two segments: Preferential Clients and Occasional Clients.info:eu-repo/semantics/acceptedVersio

The power of like 2: how social marketing works

The Power of Like 2: How Social Marketing Works is the second research report in a series examining the ways in which brands can quantify the paid and earned effects of their social marketing programs on Facebook and optimize their efforts. The analysis leverages data and insights from the comScore Social Essentials™ and comScore AdEffx™ products. By understanding the core elements of maximizing reach on Facebook – Fan Reach, Engagement, and Amplification – brands can benchmark their performance against other brands and devise strategies to improve on these dimensions and deliver measurable social marketing ROI. The report includes original analysis demonstrating ways in which exposure to earned and paid media on Facebook drives behavioral lifts in purchase behavior. &nbsp

ATTRIBUTES OF IDEAL SOIL SUBSTITUTES: RESULTS OF A SURVEY OF DEMAND SECTORS

This paper describes preferences for attributes of ideal soil substitutes reported by industry demand segments, and relates those attributes to willingness to pay for soil substitutes. Regression results on principal components indicate that concern over product stability, safety and environmental protection induce higher willingness to pay for ideal soil products.compost, markets, principal components, product attributes, Demand and Price Analysis, Farm Management,

Analysis of the readiness to buy cultural tourism online by means of latent variable models

The offer of tourism products online has increased considerably in recent years. The degree of acceptance of this new form of purchasing tourism products and services on the demand side is influenced by variables of different nature. While today's tourists routinely use online consultation for any particular destination, online booking is not as common as might have been expected, and actually purchasing online is decidedly uncommon. The aim of this study was to determine which aspects most affect the readiness to buy tourism products online. To this end, the data from a survey were used as input to different latent models with errors of measurement to segment demand in terms of attitude towards online purchases of tourism products and services

Identification of Segments of Thermo Energy Plants with a Latent Class Model

This paper identifies different groups in a cost function framework of thermo energy plants belonging to EDP-Electricity of Portugal. In particular, we have clustered the sample - comprising data for years 1987 to 2006 - into two groups. To do so, we have implemented a stochastic frontier latent class model, a procedure that also permits us to analyze also the efficiency of the thermo energy plants with respect to their own frontiers. The results reveal that some of the plants could improve their efficiency levels substantially.cost efficiency; latent class model; thermo energy plants; stochastic frontier.