The emergance of modern technologies has essential impact on the way people communicate, spend lisure and shop. The influence of internet has not avoid the market with psychoactive substances. Aproximately since 2008 has happend significant rise among the sops with new psychadelic substances(NPS). The rise of the shops has risen also an afford to monitor this new phenomenon. This thesis follows project Itrend that haas monitored the NPS shop in 2014 and 2015. The aim of the work is to provide more detailed estimate of this size of the market with NPS and the dynamics of its developement between years 2014 and 2106. The analysis of data overstep frame of project I­Trend. keywords: NSP,web shops, internet,marketing strategies

Small business owners who fail to apply effective Internet marketing strategies could negatively affect customers' purchasing decisions, and business profitability and sustainability. The purpose of this multiple case study was to explore effective Internet marketing strategies online fashion jewelry business owners used to maintain or increase profit levels. Competitive advantage theory was the conceptual framework for the study. Data were collected via semistructured interviews with 3 online fashion jewelry business owners located in the northeastern region of the United States who were in the same business for more than 5 years and generated at least $100,000 in annual revenue. Additionally, data were collected with a review of company documents pertaining to the profit levels of the businesses. Data were analyzed using word frequency and coding to determine themes. Six key themes emerged from the data: (a) Internet marketing strategies, (b) social media marketing strategies, (c) market research and retargeting strategies, (d) brand building strategies, (e) e-mail marketing strategies, and (f) marketing strategies for customer relationship management. The implications of this study for positive social change include the potential to create jobs and economic growth. The findings of this study could increase the quality of life for stay-at-home parents or assist disadvantaged individuals who host online businesses by offering proven Internet marketing strategies to increase their business longevity, profitability, and potentially lead to stronger and safer communities.

This work is motivated by several modern applications involving social networks, crowds, and markets. Our work focuses on the theme of designing effective incentive strategies for these applications. Viral marketing is receiving much attention by practicing marketers and researchers alike. While not a new idea, it has come to the forefront because of multiple effects – products have become more complex, making buyers to increasingly rely on opinions of their peers; consumers have evolved to distrust advertising; and Web2.0 has revolutionized the way people can connect, communicate and share. With power shifting to consumers, it has become important for companies to devise effective viral marketing strategies. Incentives are also a critical aspect of crowd sourcing tasks and play a crucial role in attracting, motivating and sustaining participation. The thesis addresses the following problems. (i) Optimal Control of Information Epidemics: We address two problems concerning information propagation in a population: a) how to maximize the spread of a given message in the population within the stipulated time and b) how to create a given level of buzz- measured by the fraction of the population engaged in conversation on a topic of interest- at a specified time horizon. (ii) Optimal Control Strategies for Social Influence (SI) Marketing: We investigate four SI strategies, namely, recommendation programs, referral programs, consumer reviews and campaigns on on-line forums. The campaign is assumed to be of finite duration, and the objective is to maximize profit, the (un-discounted) revenue minus the expenditure on the SI strategy under consideration, over the campaign duration. For each SI strategy, we focus on its timing, i.e., determining at what times to execute it. We address two important questions pertaining to them: a) how to execute a given SI strategy optimally? and b) having executed it so, what gains does it lead to? (iii) Optimal Mix of Incentive Strategies on Social Networks: The reach of a product in a pop- ulation can be influenced by offering (a) direct incentives to influence the buying behavior of potential buyers and (b) referral rewards to exploit the impact of social influence in inducing a purchasing decision. The company is interested in an optimal mix of these incentive programs. We report results on structure of optimal strategies for the company with significant practical implications. (iv) Truthful Tractable Mechanisms with Applications to Crowd sourcing: We focus on crowd- sourcing applications that involve specialized tasks for which the planner hardly has any idea about crowdworkers’ costs, for example, tagging geographical regions with air pollution levels or severity level of Ebola like disease. The mechanisms have to be robust to untruthful bidding from the crowdworkers. In our work, we propose tractable allocation algorithms that are monotone, leading to design of truthful mechanisms that can be successfully deployed in such applications.