Consumer Profiles Research Articles

Prevalencia, hábitos de consumo y complicaciones de los suplementos nutricionales proteicos en adolescentes

IntroductionThe consumption of nutritional and protein supplements by adolescents may have important consequences for their health. Material and methodsProspective observational study based on a survey of adolescents enrolled in six schools selected at random in the city of Seville. Our primary objective was to determine the actual consumption of dietary supplements in the adolescent population and quantifying their protein content. ResultsWe obtained a total of 263 valid responses that showed a prevalence of consumption of nutritional supplements of any kind of 19.01%, of which 56.0% (10.64% of the total) corresponded to adolescents that consumed protein supplements for a mean protein intake of 0.26 g/kg/day (SD, 0.18).The profile of consumers of any type of supplements differed from that of nonconsumers in age, use of long-term medication and weight loss or high-protein diets. The comparison of adolescents who consumed protein supplements versus nonprotein supplements only evinced a significant difference in the control of supplement consumption. Although most of these adolescents were not subject to external control, 25.92% of those who consumed protein supplements were monitored by a professional, compared to 7.38% of consumers of nonprotein supplements. In the group that consumed protein supplements, 85.18% of adolescents achieved the desired effect and 18.51% reported some form of negative effect. ConclusionsThe prevalence of protein supplement consumption among adolescents in our area is 10.64%, with consumption of amounts corresponding to 25% of the recommended daily allowance of protein. The profile of protein supplement consumers is very similar to that of nonprotein supplement consumers.

Machine learning applied to understand perceptions, habits and preferences of lamb meat consumers in the Brazilian semi-arid region

The objective of this study was to characterize the profile of the lamb consumer in the Brazilian semi-arid region using a machine learning approach. A total of 347 questionnaires with questions about socioeconomic aspects, consumption habits and preferences, meat preparation, and appreciation due to product quality were applied. A combination of cluster analysis (hierarchical and k-means), canonical discriminant analysis, neural network, and tree analysis were performed. The machine algorithms revealed three clusters: Traditional profile - Mature rural consumers, married or single, low level of education, low salary level, average consumption of meat, who do not pay for quality and do not know the benefits of lamb products; Emerging profile: Young men and women, single, with a high level of education, intermediate salary level, low consumption of meat, pay for quality, and do know the benefits of lamb meat; and Conventional profile: Mature urban consumers who live in the city, married and single, with a high level of education and salary, low consumption of meat, pay for quality and do not know the benefits of lamb meat The neural network confusion matrix for classifying consumers in the profile determined that 75.5% were classified in their group of origin, which validates the construction of the typology of consumers by the cluster analysis algorithms. Age was the main variable to segregate the nodes of the decision tree (P < 0.001): Node 1- < = 22; Node 2 > 22 < 29 and Node 3 > 29 years The use of a machine learning approach was able to reveal three types of consumers and defined patterns that could serve as strategies for increasing consumption and greater insertion of lamb in the meat market, as well as analyzing the perception of Brazilians in relation to the meat quality, where these findings may have implications for labelling schemes, marketing and sales strategies for cooked lamb products.

Ethical consumption values and ecological clothing: a study in brazil

Objective: The research aims to investigate the Brazilian consumer in their intention to purchase ecological clothing. Method: To carry out the study, field research was carried out, of an applied nature, with an exploratory and descriptive quantitative, cross-sectional objective, with non-probabilistic sampling, and research had for. The model proposed and validated by Echeverría (2017) was used as a basis, consisting of 11 factors and 42 psychographic observable variables, in addition to demographic variables (gender, age, education, and family income). Originality/Relevance: As the concern for sustainability becomes a universal phenomenon, the profile of the ecologically conscious consumer evolves. The ecological fashion movement gained strength and several companies began to realize the importance of sustainability and ethical conduct as indispensable factors in fashion. Brazil is the largest complete textile chain in the West, with more than 9.5 million jobs. Results: The predominance of the sample was female, education, there was a balance between the number of respondents between undergraduate and secondary education, with an average age of respondents of 36.74 years. An interesting point of the study, which proved to be quite significant, was the positive influence of the attitude toward the purchase of ecological products on the ecological purchase intention. The increase in ecological awareness greatly interferes with consumer behavior. The theory of planned behavior can explain this phenomenon, as an individual's attitude, their beliefs concerning a certain aspect, can influence their consumption intention. Theoretical/methodological contributions: The contribution of this study is to provide the profile of the Brazilian consumer in their intention to purchase ecological clothing. The positive influence of the attitude towards the purchase of ecological products remained evident. Increased awareness of consumer behavior. The great contribution of this study lies in the proposition of a theoretical framework, which enables an understanding of the structure of green consumer behavior. Social contributions: Assuming that human behavior is goal-oriented, based on individual beliefs, the goals TCP applied to consumption proposes that the way people select, process information, and act about them depends on the relevance and strength of its own general goals.

Predicting User Behavior in e-Commerce Using Machine Learning

Abstract Each person’s unique traits hold valuable insights into their consumer behavior, allowing scholars and industry experts to develop innovative marketing strategies, personalized solutions, and enhanced user experiences. This study presents a conceptual framework that explores the connection between fundamental personality dimensions and users’ online shopping styles. By employing the TIPI test, a reliable and validated alternative to the Five-Factor model, individual consumer profiles are established. The results reveal a significant relationship between key personality traits and specific online shopping functionalities. To accurately forecast customers’ needs, expectations, and preferences on the Internet, we propose the implementation of two Machine Learning models, namely Decision Trees and Random Forest. According to the applied evaluation metrics, both models demonstrate fine predictions of consumer behavior based on their personality.

A Study on Consumer Profile and Preference for Virgin Coconut Oil in Bangalore City

Aim: This research endeavors to examine the fundamental factors driving consumer preferences and actions concerning Virgin Coconut Oil (VCO) in Bangalore City. It seeks to assess the impact of demographic variables, health perspectives, and brand recognition on consumer choices and behavior toward VCO.&#x0D; Study Design: A quantitative, descriptive research design.&#x0D; Place and Duration of Study: The research was carried out in Bangalore City, during June and July of 2023. The primary data were collected from a random sample of Sixty respondents.&#x0D; Methodology: A diverse group of participants were surveyed, spanning different age groups, educational backgrounds, and occupations. The survey encompassed aspects such as age, gender, education, occupation, income, and family size. Conjoint analysis facilitated the measurement of attribute importance scores, providing insights into consumer preferences for factors including price, brand, and health benefits.&#x0D; Results: Analysis of the collected data unveiled noteworthy trends The majority of the respondents (61.7%) were males, and a significant proportion (43.3%) held master's degrees. Employed individuals constituted the largest occupation category (58%). Conjoint analysis revealed that health benefits held the highest importance score (39.979), followed by price (37.011) and brand (23.010).&#x0D; Conclusion: This study accentuates the pronounced role of health benefits in driving consumer choices regarding VCO. The findings illuminated the demographics of VCO consumers in Bangalore City and emphasize the need for targeted marketing strategies aligned with health-conscious consumer preferences. Insights gained from this research can significantly guide product development and branding initiatives, fostering a competitive advantage in this potential market. Further exploration and validation of these predictors are warranted to enhance the efficacy of marketing strategies and cater effectively to the evolving consumer landscape.

A Study on Consumer Preference for Coconut Milk in Bangalore City

Aims: This study aimed to analyze consumer preferences for coconut milk, exploring association between consumer profiles and demographics. Additionally, it investigated factors that influenced buying behaviour of coconut milk consumers. The study provided insights into consumer education, income, age, and gender profiles concerning coconut milk, offering an understanding of the brands they preferred. Factor analysis revealed the forces shaping consumers' coconut milk purchase choices and brand preferences. These findings provided practical insights for refining producer and marketer strategies to meet consumer demands and enhance competitiveness in a dynamic market landscape.&#x0D; Study Design: Descriptive research design.&#x0D; Place and Duration of Study: The research was carried out in Bangalore City, during July 2023, primary data was collected from a random sample of respondents.&#x0D; Methodology: The study specifically targeted a sample size of 60 consumers. A well-structured questionnaire was used to collect data from the sample respondents. The study deployed Factor analysis to assess the factors that influence the consumer purchase Behaviour of coconut milk and priorities regarding various attributes of coconut milk.&#x0D; Results: This study indicated that the majority of respondents were female (68.30%). The largest age group was 26-35 years (43.30%), and most respondents had an annual income of ₹6.00 lakhs - ₹8.00 lakhs (30%). About half of the respondents held Bachelor's degrees (50%), and the majority were employed (66.60%). Factor analysis provided that External perception factors comprised three factors namely Brand reputation, Availability, and Packaging with a variance of 32.378 percent that were the most influenced factors for the purchase of coconut milk by consumers.&#x0D; Conclusion: Analyzing consumer profiles factor analysis provided vital insights for the coconut milk industry. These findings offer guidance for refining producer and marketer strategies to meet consumer demands and excel in a rapidly changing market environment. Tailoring product availability, packaging, pricing, and sustainability, in alignment with consumer preferences will effectively improve reach and meet consumer expectations in the coconut milk market.

Exploring Consumer Behavior and Preferences in Welfare-Friendly Pork Breeding: A Multivariate Analysis.

This study investigates consumer behavior and interest in "welfare-friendly" forms of pork production, considering the growing presence of animal welfare-focused breeding practices. The aim is to outline the typical profile of pork consumers and identify the key attributes influencing their purchasing decisions. A survey was conducted on a sample of 286 individuals after excluding those who only consumed beef and/or poultry or identified as vegetarians/vegans. Regression coefficients (b), 95% Confidence Intervals (95% C.I.), and p-values were reported for univariate and multivariate models. Statistical significance was determined at p < 0.05 (indicated in bold). The findings indicate that younger participants show greater sensitivity towards consuming meat raised using welfare-friendly methods, raising considerations about the age composition of the sample. The research's originality lies in evaluating consumer interest in pork raised with animal welfare-respecting techniques. The use of appropriate statistical tools, such as multivariate and multilayer models, allows effective solutions for multidimensional hypothesis testing problems in non-parametric permutation inference.

Evaluation of soy stroganoff formulations in the IF Goiano Campus Ceres

Textured soy protein is a food alternative that can partially replace animal derivatives, and meet some dietary restrictions, and its use in ready-to-eat dishes will make food practical in its preparation. The objective was to carry out the evaluation of soy stroganoff formulations at the IF Goiano Campus Ceres. Three formulations of soy stroganoff (traditional, light and lactose-free) were prepared, stored in two types of packaging (for conventional oven and microwave oven). Microbiological tests were performed for molds and yeasts (CFU/g), coliforms at 35°C and 45°C (NMP/g); physical-chemical analyzes of pH, titratable acidity, moisture, total solids; acceptance sensory tests (blind and with information) by attribute (global impression, texture, flavor, appearance, color and aroma), acceptability index (IA), purchase intention and consumer profile through a structured questionnaire with questions closed. Regarding physical-chemical determinations and sensory tests of acceptance and purchase intention, they were submitted to analysis of variance and differences in means compared by Tukey's test at a 5% significance level. The results of the microbiological analyzes were descriptively evaluated. The results of the acceptability index and consumer profile were evaluated in percentage. A completely randomized experimental design was used, in three lots, three replications and in triplicate. Except for batch 2 of treatments A, C and D (16, 30 and 16 CFU/g), in all other batches of treatments, mold and yeast values were negative, with the samples ready for consumption. It was observed for coliforms at 35 °C and 45 °C that all treatments showed negative results (&gt;3 MPN/g), demonstrating good microbiological quality. For the physical-chemical parameters, all treatments were significantly different from each other. Treatment E (traditional, conventional oven), regardless of the evaluated attribute, had an AI above 70%, and obtained a higher purchase intention value compared to treatment C (lactose-free, microwave) with a lower value, a result that has already been expected. Treatments B, C and E, regardless of the evaluated attribute, obtained AI above 70%, with the products ready to be commercialized. It was observed that 78% of participants consume stroganoff and the majority (98%) are unaware of other types of stroganoff on the market other than the traditional one. They also reported being the flavor of chicken stroganoff that they most know (90%) and consume (90%). Most prefer to use a microwave oven to defrost ready meals. All formulations showed good microbiological parameters. Regardless of the physical-chemical parameter evaluated, all treatments were significantly different from each other. Comparing the results, it was observed that the use of information in relation to the blind test during the sensory acceptance tests interfered with the tasters' response to the different evaluated formulations. The traditional formulation for conventional oven E stood out in the acceptability index and blind purchase intention tests, this being the formulation most conducive to commercialization.

Evaluation of the consumer profile of baru almonds at the IF Goiano - Campus Ceres

In recent years, there has been a significant increase in interest in healthy and targeted foods, boosting the consumption of cerrado fruits, such as baru almonds, which have gained prominence due to their high nutritional value and the benefits they offer for health. Although baru almonds are a promising product, there is still little information about their consumer profile. The aim of this study was to know the profile of baru almond consumers. Samples of roasted baru almonds, of two different brands, were obtained in markets and supermarkets in the municipalities of Ceres, Rialma and Goiânia, located in the state of Goiás. The consumer profile, product acceptance tests, purchase intention and acceptability index were evaluated. Regarding acceptance tests by attribute and purchase intention, the results were submitted to analysis of variance and differences in means compared by Tukey's test at a 5% significance level. The results of the consumer profile and acceptability index were evaluated in percentage. A completely randomized experimental design was used, in three lots. Regarding the almond consumption habit, the majority (54%) reported not having it, however 78% consumes almonds once a month. Most consumers know (74%) and consume (62%) Brazil nuts. Regarding the baru almond, 14% know about it and reported not consuming it. It was found that most participants (62%) buy almonds because it is a delicious product. Half of the assessed public (50%) is not in the habit of reading the label on the almond packages they consume, but 26% sometimes do this reading. It was verified that 48% of the participants observe the price on the almond packaging labels and 28% look at the expiry date. This data is relevant to understand the factors that influence the purchase decision of consumers of these products. Of the survey participants, 54% of consumers know baru almond, 34% of consumers consume it, and subsequently 42% of consumers would buy this almond. Regardless of the evaluated sensory attribute, there was no significant difference between the samples, both were equally accepted by the research participants. The results showed that both samples had an acceptability index above 70% for the four sensory attributes evaluated. Regarding the purchase intention of baru almonds by the research participants, there was no significant difference between the samples. The presented results (3.64 and 3.94) are close to 4 and show that the research participants would probably buy the almonds. Most consumers know and consume more Brazil nuts than baru almonds. Participants decides to buy more based on price. There is a potential market for baru almond, with a good possibility of acceptance and growth.

Consumer trust in organic food producers and its influence on consumers’ attitudes toward food reformulation and its sensory consequences

In Europe, high targets of 25 % are set for the expansion of organic agriculture farmland by 2030. As organic food is a credence good, consumer trust is of particular importance. In this research, it is examined to what extent consumers differ in their trust in organic food producers and whether consumers have different attitudes toward reformulation measures in Germany. The sample consists of 1038 participants. Confirmatory factor analysis in combination with latent profile analysis was used to analyze the data. The results show that three segments exist. The first segment (9.15 %) does not trust, the second segment (63.87 %) shows neither trust nor distrust, while the third segment (26.97 %) shows a high level of trust toward organic food producers. The findings about the different levels of trustworthiness among the different consumer profiles can be used by food producers to design communication strategies specifically targeted at each segment.

Virtual selfhood and consumer behavior: Exploring avatar attachment and consumption patterns in Second Life's metaverse

In the vast digital landscape of the Metaverse, users can create and personalize their avatars as virtual representations of themselves. This study delves into the emotions users experience in relation to their avatars and examines how this attachment influences their consumption behaviors within the virtual world. The research employed a sample of 214 active users participating in Second Life, a prominent virtual world platform. By analyzing survey data, we explore the dynamics of self-presentation and attachment between users and their virtual personas across this well-established platform. Our research offers valuable contributions to the existing literature on the Metaverse, providing empirical evidence on how virtual reality platforms like Second Life foster avatar customization and how this, in turn, affects consumer behavior. As the Metaverse gains prominence in the business world, understanding the habits and preferences of virtual reality users is increasingly crucial. We aim to enhance our understanding of consumer behavior by incorporating attachment theory into our research on long-standing virtual environments like Second Life. Our study of Second Life provides valuable insights into the dynamics of consumer behavior within a well-established virtual world, which can be applied to the emerging Metaverse platforms. This knowledge helps businesses identify consumer profiles, address their needs, and enhance their virtual presence and success.

South African consumers’ knowledge of genetically modified (GM) food products and influences that affect the purchasing decision of GM foods

Prevailing food insecurity has necessitated the leveraging of alternative food products if the Sustainable Development Goal 2 (SDG2), referring to zero hunger for the worldwide population, is to be achieved. Although the production of genetically modified (GM) plant-based crops has been adopted in South Africa (SA), and available for human consumption, a dearth of research exists in respect of SA consumers’ knowledge of, and the influences that affect the purchase of GM food products. An exploratory survey study design included 326 consumers, purposefully selected through snowball sampling from Mooi river, in KwaZulu-Natal province, SA. Exploratory Factor Analysis (EFA) was used to identify underlying drivers for the knowledge and influences on the purchase decisions of GM food products. It was found that although respondents were aware of GM food products and understood the meaning of “genetically modified”, they lacked general knowledge about GM food products, reflected in the minimal scope of their knowledge and uncertainty of GM components present in food products as identified through an EFA. Consideration for purchasing would include the potential to increase food supplies, the reduced usage of pesticides, carcinogenic effects, allergenicity, harmful effect on the environment, longer shelf life and the unnatural development of GM food products. Through EFA, consumption and production implications, consumer advantages, product identification elements, and agricultural pesticide practices were underlying drivers of the influencers of consumers’ GM food product purchasing decisions. Food insecurity could persist if GM consumer education is not re-introduced in SA to address consumer apathy and sense of disengagement towards GM food products. This is attributed to the limited consumer knowledge about GM food products. This study has contributed towards a better understanding of the current consumer perspective on GM food products and what it will take to turn the GM food product aversion into informed consumer decisions and practices. Future research in SA is needed to determine the demographic profile of consumers and how that will influence GM food product purchases in the wake of addressing food security. Key words: food insecurity, food security, GM agriculture, consumer education

Effects of the COVID-19 pandemic on the perception of on-demand delivery by the younger generation: An exploratory analysis for Brazil

This paper analyses the effects of the COVID-19 pandemic on the perception of young generation (from 19 to 39 years old) about on-demand delivery services. An exploratory analysis was performed using data from a social media questionnaire and estimating a structural equation model. The findings showed that the perception of on-demand services and on-demand deliveries influenced on-demand purchases before and during the COVID-19 pandemic. Furthermore, the consumer profile influenced on-demand purchases before the COVID-19 pandemic. The practicality of buying and receiving products at home is the main motivation of the young generation regarding the use of on-demand delivery services before and during the COVID-19 pandemic. The findings showed the importance of extending this exploratory analysis to other age groups in the post-pandemic time due to the increase in on-demand deliveries and the related impacts of this delivery service.

Business strategy pathways for short food supply chains: Sharing value between consumers and producers

Short food supply chains play a vital role in connecting local producers with consumers, promoting sustainability, supporting local economies, and providing access to fresh, high-quality products. However, their market is still underdeveloped due to the mismatching between consumer demand and producer supply.The aim of this work is to identify a common vision between producers and consumers in short food supply chains proposing key actions for an effective business strategy to improve alternative food systems at a territorial level. The strategic long-term vision to foster short food supply chains is based on a direct farmer-to-retailer model. Grounded on the case of an ancient grains supply chain located in Emilia-Romagna, Italy, this research relies on a mixed-method approach including quantitative and qualitative methodologies. A household survey conducted with a representative sample of 1122 Italian households allowed to identify four consumer profiles. Then, two focus groups conducted with 10 food supply chain stakeholders led to the identification of six thematic areas of action. By the backcasting methodology, ancient grains supply chain actors proposed a set of business actions to reach consumers' preferences. Finally, a two rounds Delphi conducted with 23 food supply chain experts allowed to validate the results and the 18 actions to be adopted from 2023 to 2030 for the business strategy pathway. The business strategy pathway can increase the local market presence of ancient grain products, helping producers to plan future business activities and disclose changes in consumer preferences or market conditions.

Comparison of descriptive analysis and flash profile by naïve consumers and experts on commercial milk and yogurt products

Flash profile (FP), a ranking-based consumer-oriented method, has been studied as a rapid consumer profiling method that can be used as an alternative to conventional descriptive analyses, which require significant time, cost, and effort to get results. However, few studies have compared conventional profiling methods for different FP panel groups. In this study, we investigated the similarities between three methodologies, conventional descriptive analysis, FP by consumers, and FP by experts, on two commercial products: milk and yogurt. The results showed minor qualitative differences in the sensory attributes generated by the assessors between the three methodologies. The expert groups used terms related to product-specific attributes, whereas consumers used less specific terms. However, the overall results of the sample configurations and RV coefficients of the three methodologies were similarly high, ranging from 0.92 to 0.97 for both sample sets. These results highlight the applicability of FP when conducted with experts and consumers. This study showed that consumer and expert panels generated comparable sample configuration results using FP compared to the descriptive analysis conducted by trained panelists in two food matrices.

Consumer behaviour in e-Tourism: Exploring new applications of machine learning in tourism studies

Digital markets have altered how economic agents interact and have changed the behaviour of tourists. In addition, the COVID-19 pandemic has shown that it is necessary to constantly monitor the evolution of digital consumer behaviour and the factors that influence it, as they are dynamic elements that evolve over time. This paper analyses digital inequalities and validates the main factors influencing tourists to book online tourism services. This research uses a set of microdata with 69,752 and 23,779 observations to analyse the booking mode of accommodation and transportation services, respectively, obtained from the Resident Travel Survey of the National Statistics Institute of Spain during the period 2016-2021. The article confirms variations in the online consumer profile and in the trip's characteristics. One of the most relevant findings is the narrowing of the generational gap in the online contracting of tourist services. However, there are remaining digital inequalities, such as regional inequalities and others based on the education level and income of tourists. It is also highlighted that different types of trips, depending on the destination, the type of accommodation or transport have a different propensity to be booked through digital purchase channels. The accessibility to big data sources and recent advances in machine learning models have also made the methodologies for analysing digital consumer behaviour evolve and must be incorporated into tourism studies. This study compares the predictive performance of different methodologies in the context of e Tourism. In particular, we evaluate the potential predictive power that could be obtained using machine learning techniques to explain consumer behaviour in e-Tourism and use it as a benchmark to compare it with the results obtained using traditional statistical methods. The selected predictive evaluation metrics show that the logistic regression statistical model outperforms the predictive power of the Multilayer Perceptron neural network and presents values very close to the maximum predictive power achieved by the Random Forest algorithm.

Risk factors for listeriosis due to sausage consumption in Mexico: consumer practices, bacterial survival, and quantitative microbial risk assessment.

Listeriosis is a foodborne disease caused by Listeria monocytogenes (Lm), which represents a public health problem. Lm has been identified as an important contaminating bacterium of ready-to-eat meat products (RTEM) in Mexico. The objective was to explore the risk factors for acquiring listeriosis due to sausage consumption by defining the consumer profile, evaluating the survival of Lm in sausage (5, 10, and 25 °C for 32 days) and performing a quantitative microbiological risk assessment. The survey of 100 participants revealed that the factors compromising the safety of the RTEM by the consumer are the extension of the shelf life. Acquiring packaged RTEM was observed as a safe habit. All respondents stated that they were unaware of listeriosis, but 18% reported infections linked to RTEM, mainly sausage. The sausage supports the growth of Lm, whose population increases in congruence with temperature (25 °C > 10 °C >5 °C) and storage time (P ≤ 0.05). The increase in temperature decreases the adaptation time (Lag25 °C = 1.0 h, Lag10 °C= 92.5 h, Lag5 °C = 226.1 h) and increases the growth rate (μ25 °C = 4.43 CFU/h, μ10 °C = 0.075 CFU/h, μ5 °C = 0.0026 CFU/h) of Lm on the sausage. The risk of listeriosis due to sausage consumption increased according to the increase in temperature: 5.53 × 10-8-1.42 × 10-5 (5 °C), 0.00616-0.111 (10 °C), and 0.109-1.00 (25 °C). Consumer education in the hygienic management of RTEM and information on associated pathogens will minimize the risk of disease.

Dynamic analysis of consumer loyalty fast-moving consumer goods market in the Republic of Kazakhstan

As a result of the formation of new geopolitical, economic, and social conditions, the consumer goods market is undergoing high volatility, which entails significant changes. At the same time, the transformation concerns not only the behavior of consumers but also the marketing policies of companies selling goods from the fast-moving consumer goods sector. The scientific article presented the current indicators of the fast-moving consumer goods (FMCG) market in the Republic of Kazakhstan. The results of changes in the economic profile of consumers are given based on the interpretation of the survey data. The article aims to study the impact of consumer behavior transformation on Kazakhstan's consumer goods (FMCG) market. The following research methods were used in the study: statistical analysis, survey, and in-depth interview. As a result of the study, the economic characteristics of the market were reflected based on the results of a statistical cross-section of 2022 the three quarters. The forecast of further transformation of the market and the explanation of individual trends was formed based on the data from the conducted expert interview. Accordingly, in a three-stage study, up-to-date data on the volume and structure of the FMCG market were obtained, a modern economic portrait of the consumer was derived, and the possibilities for improving consumer loyalty in the Republic of Kazakhstan were assessed. Local FMCG and retail companies can use final data in the processes of building sales strategies and studying the behavior of a modern consumer, as well as in the formation of sales policy and tactical decisions. These studies may be relevant for companies that still need their analytical tools.

Perfil do consumidor de pescado em um município amazônico às margens do rio Solimões, Brasil

This study aimed to characterize the profile of fish consumers in the municipality of Tabatinga - AM. Questionnaires were applied to 100 fish consumers. Data on socioeconomic aspects, consumer preferences, purchase, storage, processing and preparation of fish were obtained. As for consumers, 52% were female, 35% were born in Tabatinga, 51% were between 31 and 50 years old, 69% had a family income of 1 to 2 minimum wages and 47% had completed high school. Fish is part of the diet of 99% of the adult population, with 64% having it 3 times a week. At the time of purchase, there is a preference for whole fish and the preparation of 38% is roasted. The main commercialized species were Liposarcus sp., Mylossoma sp. and C. macropomum. The fish are sold in the form of bunches or kilograms, with prices ranging from 12 to 20 R$/kg. The per capita consumption of local fish is 49.6 kg/person/year. Thus, this study contributes with information to support policies for the sustainable use of fishing resources, regional development related to commercialization, the production chain and the population's eating habits.

CONSUMPTION PREFERENCES OF THE REPUBLIC OF MOLDOVA POPULATION REGARDING WINES AND ALCOHOLIC BEVERAGES

The wine market is a mature market strongly affected by favorable or unfavorable developments in the eating habits and purchasing behavior of consumers. In order to establish promotion policies and priority marketing strategies, it would be to establish the profile of the consumer from the target group for which the assortment of wine placed on the consumer market is intended. The study objectives focused on the main preference characteristics of wines and alcoholic beverages consumption, the notoriety of the wines produced by local winemakers and those imported among national consumers. As a result of the marketing study, the following were established: the consumer profile of the target group, the amount of consumption, the assortment/brands preferred by consumers, the frequency of consumption and the role of advertising/promotion of wines and alcoholic beverages in the purchase decision of the national consumer.