Search results

The purpose of this paper is to examine commonly relied upon product sampling strategies, direct‐to‐consumer sampling and event sampling, to determine which method can deliver the greatest return on investment in a variety of situations.

The paper explores information and data collected via case studies in actual programs presented to brands. The trial, sample, and purchase numbers were actual averages from sampling effectiveness studies for these types of programs.

The paper identifies and segments different types of products and the method by which the products are most effectively implemented into trial and sampling programs. ICOM reveals hard statistics on the return on investment of programs utilizing multiple methods of sampling including point‐of‐use, direct mail and event sampling.

Marketers should follow the STEPS outlined in this study to apply the best brand sampling strategy for a given product. Knowledge of targeted consumer base along with careful pre‐event analysis will deliver the best return on investment for a trial campaign.

The paper reveals reasons for a growing shift in corporate budgeted marketing dollars from event marketing to direct consumer product sampling. While event sampling is not always an ineffective or inferior marketing method,the reader can discover methods for a pre‐event return on investment analysis that will reveal the sampling strategy sure to deliver the most “bang” for the marketing “buck”.

This paper aims to investigate the impact of in‐store sample promotions of food products on consumer trial and purchasing behavior. The authors investigate differences in the trial rate for free samples across different products and consumer types, as well as the impact of sampling on product and category purchase incidence. The results of this study are relevant for retailers and manufacturers who invest in in‐store free sample promotions.

The authors use data from a field study, which leveraged an actual free‐sample program implemented by a US grocery store chain. Data was collected on six different products promoted by in‐store free samples over six different weekends. The data collected included consumers' trial and purchasing behavior with respect to the free sample, as well as their attitudes towards the free sample that day and free sample promotions in general.

Free sampling is very effective in inducing trial, especially among lower educated consumers. For consumers who are planning to buy the product in the promoted category, free sampling can encourage switching from the planned to the promoted brand. For consumers who do not have such previous plans, free sampling can “draw“ them into the category and encourage category purchase. Samplers' interactions with the person distributing the sample or with other samplers at the scene also seem to boost post‐sample purchase incidence.

Despite the importance of free samples as a promotional tool, few studies have examined consumer trial and purchasing behavior with respect to in‐store free samples. This paper presents one of the first known field studies that examines this topic.

The purpose of this paper is the determination of reliability sampling plans in the Bayesian approach assuming that the lifetime distribution is exponential.

Sampling plans are used in manufacturing companies as a tool for carrying out sampling inspections, in order to make decisions about the disposition of many finished products. If the quality characteristic is considered as the lifetime of the products, the plan is known as a reliability sampling plan. In life testing, censoring schemes are adopted in order to save time and cost of life test. The inverted gamma distribution is employed as the natural conjugate prior to the average lifetime of the products. The sampling plans are developed assuming various probability distributions to the lifetime of the products.

The optimum plans n and c are obtained for some sets of values of (p1, a, p2, ß). The selection of sampling plans is illustrated through numerical examples.

Results obtained in this paper are original and the study has been done for the first time in this regard. Reliability sampling plans are essential for making decisions either to accept or reject based on the inspection of the sample.

The goals of this paper are to determine the effectiveness of product sampling in terms of usage, to draw a consumer profile who is reactive to free samples and to determine product characteristics that would lead to free samples usage.

An experiment and a questionnaire inquiry were conducted. An outlet database was also used. Perfume, skin care and make‐up samples were given away to 500 women. In order to test the hypotheses logit models were employed.

Launching product sampling campaigns is quite effective as free samples usage appears to be high (72 per cent). Managers should give away samples of new products involving important advertising budgets. They also should offer samples of product types with a high‐penetration rate. In addition, it is better to sample well‐known brands rather than unknown ones. Moreover, the authors recommend targeting family brand users when offering free samples. Also, it is not profitable to target consumers with low‐annual spending within the product category. Finally, the authors suggest giving away samples to non‐working housewives.

This is the first paper to examine the determinants of free samples usage. Moreover, the study considers three methods of data collection. Finally, it has interesting practical and theoretical implications.

The purpose of this project was to explore and identify factors that influence a consumer to purchase wine during an afternoon of product sampling (wine tasting). A panel of consumers was recruited for an afternoon of wine tasting at vineyards in Napa, California. Several potential hedonistic, utilitarian and logistical factors (i.e. winery facilities, quality of the wine and order in which the winery was visited) were measured using a journal log that was maintained by participants following the tasting experience for a period of one‐month. The conclusions drawn from this study were that group size, confidence in one's ability to purchase wine and overall assessment of a vineyard's wine portfolio were more important than the hedonistic factors in terms of inducing a sale immediately following a taste.

The purpose of this paper is to propose a new mixed repetitive group sampling (RGS) plan based on the process capability index, C_pk, where the quality characteristics of interest follow the normal distribution with unknown mean and unknown variance. Tables are constructed to determine the optimal parameters for practical applications for both symmetric and asymmetric fraction non-conforming cases. The advantages of this proposed mixed sampling plan are also discussed. The proposed sampling plan is also compared with other existing sampling plans.

In order to determine the optimal parameters of the proposed mixed RGS plan based on C_pk, the authors constructed tables for various combinations of acceptable and limiting quality levels (LQLs). For constructing tables, the authors followed the approach of two points on the operating characteristic (OC) curve. The optimal problem is formulated as a non-linear programming where the objective function to be minimized is the average sample number (ASN) and the constraints are related to lot acceptance probabilities at acceptable quality level and LQL under the OC curve.

The proposed mixed RGS plan will be a new addition to the literature of acceptance sampling. It is shown that the proposed mixed plan involves minimum ASN with desired protection to both producers and consumers compared to other existing sampling plans. The practical application of the proposed mixed sampling plan is also explained with an illustrative real-time example.

In this paper, the authors propose a new mixed RGS plan based on the process capability index C_pk, where the quality characteristic of interest follows the normal distribution with unknown mean and unknown variance. Tables are constructed to determine the optimal parameters for practical applications. The proposed mixed sampling plan can be used in all production industries. This kind of mixed RGS plan is not available in the literature.

Describes a study of consumer behaviour carried out in a chocolate store involving free samples of chocolate, which found that sampling significantly increased the immediate sales of chocolates but that this effect was restricted to small amounts and to those varieties of chocolate other than the variety sampled. Discusses the implications of the findings for marketing management and consumer behaviour theory. Concludes that while sampling produces positive effects, these effects appear to be more complex than they would first seem, therefore further consumer research is needed.

Examines the practice and marketing consequences of giving out free food samples. Reports on a study, taken over a period of three days, of customers who entered a well‐established, ten‐year‐old chocolate store in a major suburban shopping mall, who received a free sample of chocolate. Shows that sampling immediately increased the sale of chocolates. Cautions that this positive effect was restricted to small purchases and to the purchase of chocolate varieties other than the variety sampled. Discusses the implications of the findings for marketing management and for consumer behaviour theory.

A process improvement sampling methodology, known as process variation diagnostic tool (PROVADT), was proposed by Cox et al. (2013). The method was designed to support the objectivity of Six Sigma projects performing the measure-analyse phases of the define-measure-analyse-improve-control cycle. An issue in PROVADT is that it is unable to distinguish between measurement and product variation in the presence of a poor Gage repeatability and reproducibility (R&R) result. The purpose of this paper is to improve and address PROVADT’s sampling structure by enabling a true Gage R&R as part of its design.

This paper derives an enhanced PROVADT method by examining the theoretical sampling constraints required to perform a Gage R&R study. The original PROVADT method is then extended to fulfil these requirements. To test this enhanced approach, it was applied first to a simulated manufacturing process and then in two industry case studies.

The results in this paper demonstrates that enhanced PROVADT was able to achieve a full Gage R&R result. This required 20 additional measurements when compared to the original method, but saved up to ten additional products and 20 additional measurements being taken in future experiments if the original method failed to obtain a valid Gage R&R. These benefits were highlighted in simulation and industry case studies.

The work into the PROVADT method aims to improve the objectivity of early Six Sigma analyses of quality issues, which has documented issues.

The prayer against the Poultry (Hygiene) Regulations which we briefly mentioned in the editorial of our last issue, was lodged as a result of activity by the Environmental Health Officers' Association. Incidentally it is the first occasion as far as we can recall that a prayer has been lodged against any of the rash of food regulations of recent years, and reflects the strong feelings of the public health inspectorate.