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Free trial is an effective strategy to gaining users’ data so as to strengthen and optimize product design. The purpose of this paper is to understand the IT companies' dynamic decision-making behavior in the free trial of IT products and services context based on a three-stage theoretical framework and users' decision-making behavior in the respective stage.

A three-stage methodology is proposed to clarify relevant decision problems and actions in each stage from IT companies' and users' perspectives, respectively. It then investigates relating variables on IT companies' decision-making based on extant research and users' decision-making.

In this study, the authors argue that the IT companies have to make the offering, implementation and retention decision in different stage during the whole free trial process. Each decision is determined by several variables from their own and users, namely the offering decision is determined by product characteristics, network effects, product life cycle and WOM (word of mouth); the implementation decision is determined by the quality of products and services, trial type, incentive measures on user's usage and communication strategy; and the retention decision is determined by the product and price strategy.

The results are practical and can be used by IT companies as a decision basis or reference to make reliable decisions so that IT companies can take target measures to ensure the effectiveness of their free trial strategy so as to meet their users' needs based on products designed by data driven. Thus, the ultimate goal of supply chain management is achieved.

In this study, the decision-making process in the free trial of IT products and services context is investigated as a whole for the first time. From the IT companies' perspective, the process includes offering, implementation and retention decision stages, which are continuous and inseparable. The variables that determine IT companies' decision-making are identified based on users' decision and action. Hence, it represents a brand-new whole process perception to clearly understand the dynamic of the IT companies' decision-making. Considering users' decision and action, the final decisions of the IT companies will be more practical in respect of motivating, retaining and upgrading users.

This paper aims to discover how consumers process an innovative set of systematically varied service trial offers and how this affects their learning and interaction as precursors to customer engagement.

The research uses experiments that manipulate pricing, type of service and delivery method. A repeated-measures design was used with a sample of 396 participants.

Free (as opposed to cost or full price) service trials were more likely to be accepted, with perceived truthfulness of the trial offer and perceived obligation mediating the relationship. Credence service trials generate higher levels of perceived obligation than experience service trial offers, while personal services are more likely to lead to trial adoption.

The research can be extended to well-recognized brands and further mixed service contexts.

Trial offers of new services are best targeted at buyers who are in the likely buyer group. The trial offer may accelerate time to purchase and relieve perceived risks. The trials of credence services need further signals of quality in the trial itself for consumers to adopt the full service. With personal service trials, skeptical consumers need assurance as to what will happen after the trial experience. Free trials may actually devalue a service, threatening engagement.

Uniquely, service trial offers are systematically manipulated using experience versus credence and personal versus impersonal trials to determine their effect on acceptance of the trial offer and the full service. Additionally, the study compares free, cost price and full price trial offers.

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.

Recent years have witnessed the popularity of social free sampling (SFS). That is, firms on social commerce platforms (e.g. Amazon Vine and Pconline Try) offer free sample products for consumers' applications, and the selected applicants are required to write a product trial report on the sites as a return. The main advantage of SFS is to leverage users' product trial reports to increase product exposure and attract prospective consumers. Thus, product trial reports play a central role in SFS. Despite that scholars have examined the rating bias of product trial reports in recent years' knowledge concerning how product trial reports influence user (i.e. readers of product trial reports) engagement remains sparse. To address the research gap, this paper aims to examine the drivers of user engagement with product trial reports.

This study utilized the Poisson regression model to analyze 3,419 trial reports collected from a well-known Chinese SFS site.

Based on the ELM model, the empirical results indicate that product rating, vividness, opinion balance, and reputation of the trial user are positively associated with user engagement. However, longer reports and reports with higher emotional intensity lead to weaker user engagement. Furthermore, product prices strengthen the positive impact of opinion balance but weaken the positive impact of trial users' reputations.

This study is among one of the first studies to investigate the impact of trial reports on user engagement in SFS. It yields actionable guidelines for SFS campaigns.

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 paper aims to report the findings of a research study into the “freebies” phenomena – the provision of free goods and services by companies. Such activities are seemingly an economic paradox because they should not occur in a profit‐based organization – either privately owned or publicly owned where there is a fiduciary duty to maximise the return for the shareholders.

Examples of freebies are given and used to construct a typology together with the underlying motivation or rationales for the provision of the freebies, as well as a determination of who pays for the freebies.

A major step forward in understanding the concept of “freebies” is achieved with the construction of the BIGI Model which identifies the four main reasons for freebies provision being Brand building (including new product launch), income generation, government legislation and information gathering.

This paper provides substantial insight into how “freebies” can be effectively utilized as a direct marketing tool and, alternatively, common errors to avoid when employing the use of “freebies”.

While the use of free samples of products has been widely employed by firms over a number of years, there has been no real systematic evaluation of the process in terms of its efficiency as a direct marketing tool.

Research has shown that mycoprotein, a vegetable protein ingredient, can lower blood cholesterol. This paper aims to test this in a consumer setting.

In total, 21 healthy, free‐living adults, who were not usually mycoprotein consumers, were asked to eat mycoprotein, as Quorn™ products, daily for six weeks. Ten control group participants followed their habitual diets. Fasting lipids, blood pressure, blood glucose, weight, body mass index and waist circumference were measured at baseline and after six weeks.

A significant reducing effect of the intervention on total cholesterol levels was found among those participants with higher baseline blood cholesterol level. No significant differences were seen between the intervention and control groups for the sample as a whole, although there were compliance issues in the control group that may have reduced its validity. Good compliance with the mycoprotein‐rich diet also appeared to have a significant lowering effect on total blood cholesterol and LDL cholesterol. The findings confirm that mycoprotein may be a useful food ingredient for helping to manage blood cholesterol levels.

There was no randomisation or blinding, which may have influenced compliance with a habitual diet in the control group. The sample size was small and so further work in a larger population is warranted, particularly to determine optimal mycoprotein intakes and likely mechanisms of action.

The paper focuses on a trial that used commercially available products in a free‐living sample.

The freemium pricing model is dominant in digital products such as mobile applications. While limited evaluation of a product such as when a consumer is under time pressure, has been found to increase consumer preference for the free version (“the zero price effect”), this paper aims to explore moderators that attenuate or reverse that effect.

Three experiments test the role of anchoring effects induced by time pressure in moderating the zero price effect.

The studies offer evidence that anchoring effects induced by time pressure can be directed to reduce preference for free versions of products. In addition, these effects are mediated by the perceived performance risk of a product and an upper boundary condition for monetary price level is found.

This research demonstrates exceptions to time pressure’s role in intensifying the zero price effect. Future research could focus on additional moderators of the effect such as the need for certainty and examine time pressure’s effect on in-app purchases.

These findings can be directly applied by marketers of digital products using a freemium pricing model who wants to use time pressure to create urgency with customers without pushing them toward the free version of a product.

This paper finds exceptions to the zero price effect where consumers exhibit a stronger preference for the paid (vs free) version of a product when under time pressure.