
Целью работы ÑвлÑетÑÑ Ñ€Ð°Ð·Ñ€Ð°Ð±Ð¾Ñ‚ÐºÐ° Ñтратегии Ð¿Ñ€Ð¾Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ Ñ‚Ð¾Ð²Ð°Ñ€Ð¾Ð² оÑобого ÑпроÑа Ñ ÑƒÑ‡Ñ‘Ñ‚Ð¾Ð¼ оÑобенноÑтей потребительÑкого Ð¿Ð¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð¸ Ñовременных маркетинговых технологий. Были решены Ñледующие задачи: 1. изучен рынок товаров оÑобого ÑпроÑа и оÑновные тенденции Ñволюции рынка. 2. ÑиÑтематизированы оÑновные подходы к продвижению товаров оÑобого ÑпроÑа. 3. проанализированы практики Ð¿Ñ€Ð¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¸Ð½Ñтрументов маркетинговых коммуникаций на рынке товаров оÑобого ÑпроÑа и оÑобенноÑти потребительÑкого поведениÑ. 4. проведён анализ перÑпектив Ð¿Ñ€Ð¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¸ Ñформированы Ñтапы Ð¾Ð±Ñ€Ð°Ð·Ð¾Ð²Ð°Ð½Ð¸Ñ Ñтратегии influence-маркетинга Ð´Ð»Ñ Ð¿Ñ€Ð¾Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ Ñ‚Ð¾Ð²Ð°Ñ€Ð¾Ð² оÑобого ÑпроÑа. 5. выÑвлен алгоритм выбора инфлюенÑера Ð´Ð»Ñ Ð¿Ñ€Ð¾Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ. 6. Ñформирован контент-план кампании по продвижению бренда товаров конного ÑнарÑжениÑ. 7. проведён анализ ÑффективноÑти работы инфлюенÑера и кампании по продвижению бренда товаров конного ÑнарÑжениÑ. ÐктуальноÑть темы обуÑловлена необходимоÑтью приÑутÑÑ‚Ð²Ð¸Ñ Ñ€Ñ‹Ð½ÐºÐ° товаров оÑобого ÑпроÑа и пониманием, как правильно и Ñффективно продвигать данные товары. ИÑточниками информации выÑтупили данные отечеÑтвенной и зарубежной научно-иÑÑледовательÑкой литературы, официальных Интернет-реÑурÑов и аналитичеÑких агентÑтв. При Ñборе данных, необходимых Ð´Ð»Ñ Ð²Ñ‹Ð¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ñ€Ð°Ð±Ð¾Ñ‚Ñ‹, была иÑпользована поиÑÐºÐ¾Ð²Ð°Ñ ÑиÑтема ЯндекÑа. Предложена ÑÑ‚Ñ€Ð°Ñ‚ÐµÐ³Ð¸Ñ Ð¿Ñ€Ð¾Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ Ñ Ð¸Ñпользованием инфлюенÑера.
The goal of the work is to develop a strategy for promoting special demand goods, taking into account the characteristics of consumer behavior and modern marketing technologies. The following tasks were solved: 1. the market for special demand goods and the main trends in the evolution of the market have been studied. 2. the main approaches to the promotion of special demand goods have been systematized. 3. the practices of using marketing communications tools in the market for special demand goods and the characteristics of consumer behavior are analyzed. 4. an analysis of the prospects for application was carried out and the stages of forming an influence marketing strategy for promoting goods of special demand were formed. 5. an algorithm for selecting an influencer for promotion has been identified. 6. a content plan for a campaign to promote the equestrian equipment brand has been formed. 7. an analysis of the effectiveness of the influencer’s work and the campaign to promote the brand of equestrian equipment was carried out. The relevance of the topic is due to the need for the presence of a market for goods of special demand and an understanding of how to correctly and effectively promote these goods. The sources of information were data from domestic and foreign scientific research literature, official Internet resources and analytical agencies. When collecting the data necessary to complete the work, the Yandex search engine was used. A promotion strategy using an influencer is proposed.
ÑÐ¾Ð²Ð°Ñ Ð¾Ñобого ÑпÑоÑа, influencer, influence-маÑкеÑинг, пÑодвижение, influence-marketing, product of special demand, promotion, инÑлÑенÑеÑ
ÑÐ¾Ð²Ð°Ñ Ð¾Ñобого ÑпÑоÑа, influencer, influence-маÑкеÑинг, пÑодвижение, influence-marketing, product of special demand, promotion, инÑлÑенÑеÑ
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
