In today's rapidly growing and highly competitive e-commerce industry, it is becoming increasingly important for sellers to effectively select products, improve customer experience, and ultimately be able to increase their market sales and strengthen their brand. Amazon review analysis and consumer research can provide key insights into customer sentiment, preferences and behaviors that can help sellers make informed decisions on product selection and marketing strategies. By utilizing tools such as sentiment analysis, voice of customer, feedback analysis, product research, audience research, competitor analysis and Amazon ratings & reviews data to gain a better understanding of the customer base it becomes possible to create more targeted campaigns that meet customer needs and drive customer satisfaction.
Sales, a key metric of costs and profits for any business, is the most intuitive and accessible data. With established social media platforms and advertising channels providing detailed insight in regards to website traffic, understanding consumer sentiment--i.e., volume--is one of the more challenging areas to analyze. Volume refers how people express their opinions on our brand's products/services/marketing efforts via various touchpoints; these voices come together as an aggregate that can tell us what consumers need or expect from us – why consumers make purchases with us over others.
Target your customers through customer profile
Voice of customer analysis and audience research are key elements when targeting customers through customer profile. By leveraging Amazon review analysis and other data sources, sellers can gain insights into their customers preferences and behaviors, which can be used to craft targeted solutions and develop a successful product profile. Additionally, this data can also be used to create more effective campaigns that attract the right customers and boost sales.
Based on the data provided, it seems that the Eau de Parfum product is primarily used by individuals for personal use, with the top three users being the wife, family, and daughter. This suggests that the product is likely marketed towards women, as they are the primary users mentioned. The top three places to use the product are the house, car, and office, indicating that the product is used in a variety of settings and is likely seen as a versatile fragrance. The top usage of the product is in the shower, which could suggest that the product is marketed as a refreshing and invigorating scent. Interestingly, the top usage of the product is also as a gift, with 133 mentions. This suggests that the product is likely seen as a popular gift item, perhaps for special occasions such as birthdays or holidays. Based on this data, it seems that the customer profile for this product is likely women who are looking for a versatile and refreshing fragrance that can be used in a variety of settings. They may also be interested in giving the product as a gift to others. To further appeal to this customer profile, the company could consider marketing the product as a gift item more prominently, perhaps by offering special packaging or promotions around holidays. They could also consider highlighting the versatility of the fragrance, perhaps by showcasing it being used in different settings or by different types of people.
Ship products your customers love through sentiment analysis
Through sentiment analysis, businesses can uncover consumer dissatisfaction with products, automatically decompose NR and PR, and present product quality issues, packaging suggestions, marketing loopholes, and inadequate service in a digitalized format. By finding problems in VOC and combining them with a set of quality problem solving processes (CTQs), businesses can form a closed loop from problem to action, thereby achieving continuous iteration and optimization of product quality. In addition, analyzing customer emotion data can help companies foresee emerging trends ahead of competitors and tailor their products to meet customers' needs.
Cons | |
|---|---|
| smell | 31.55% |
| good | 22.68% |
| solid | 1.44% |
| bad | 1.24% |
| not pleasant | 0.82% |
| strange | 0.21% |
| bottle | 9.48% |
| scent | 7.84% |
| odor | 1.65% |
| plastic topper | 0.21% |
Pros | |
|---|---|
| scent | 25.66% |
| smell amaze | 0.72% |
| pretty on | 0.12% |
| sits close to the body | 0.12% |
| suitable for the office | 0.12% |
| blissful | 0.12% |
| smell | 16.55% |
| fragrance | 16.19% |
| oil | 5.76% |
| quality of scent | 0.84% |
Based on the data provided, it appears that the top con aspect of Eau de Parfum is its smell, which is mentioned by over 31% of respondents. Additionally, the top 5 cons mentioned include issues with the bottle, scent, odor, and plastic topper. On the other hand, the top pro aspect mentioned is the scent, which is cited by over 25% of respondents. Other cons mentioned include issues with the fragrance, oil, and quality of scent. Overall, it seems that the scent is both a pro and a con of Eau de Parfum, depending on the specific aspect being discussed. While the scent is generally appreciated, there are concerns about its quality and the potential for it to be overpowering or unpleasant. Additionally, issues with the packaging and other aspects of the product may detract from the overall experience. To address these concerns, product developers may want to focus on improving the quality of the scent and ensuring that it is not too strong or overwhelming. Additionally, they may want to consider redesigning the packaging to make it more user-friendly and appealing. Finally, it may be helpful to conduct further research to better understand the specific concerns and preferences of consumers in this category, in order to develop products that better meet their needs and expectations.
Make the smartest sales decisions through Buyers Motivation
Making the smartest sales decisions requires understanding and responding to the voice of customer. This can be achieved by leveraging buyer motivation data, conducting competitor analysis, and engaging in thorough product research. Companies should seek to understand customer needs and preferences through surveys and feedback, analyze data from past purchases, and track market trends in order to develop effective pricing strategies. Additionally, businesses must focus on providing value to customers through competitive prices, relevant discounts, quality products, convenient services, and superior customer service. By taking into account buyer motivation and focusing on delivering value, businesses can make informed decisions that will lead to long-term success.
| Topic | Mentions |
|---|---|
| others | 51 |
| smell | 7 |
| fragrance | 4 |
| like | 2 |
| big bottle | 1 |
Understand customers need for prioritizing what to build next
Companies should prioritize what to build next by understanding their customers' needs. Amazon review analysis can help businesses better understand customer sentiment, while product research and competitor analysis can give insights into current and upcoming trends in the market. Moreover, customer expectations should be taken into account when developing new products or features. Ultimately, prioritizing what to build next based on an in-depth understanding of customer needs will enable a company to develop successful products that maintain customer satisfaction and loyalty.
| Topic | Mentions | Review Snippets |
|---|---|---|
| longer lasting | 24 | last longer last longer sexier more strong longer lasting |
| last long | 16 | last longer last long |
| good | 11 | good |
| good longevity | 8 | longevity good longevity sillage longevity not good |
| good fragrance | 6 | fragrance fragrance last good fragrance with longevity value good perfume project fragrance |
| aroma | 5 | smell scent |
| help | 4 | help |
| aroma last long | 4 | scent last longer scent last 4-5 hour scent last long |
| longevity | 4 | longevity |
| cologne | 3 | cologne good cologne quality cologne travel cologne |
Shulex VOC is an AI-powered platform that helps companies gain valuable customer insights from Amazon review analysis. It works by providing users with core capabilities such as customer profiles, sentiment analysis, buyers motivation and customer expectations. This enables businesses to tap into the power of voice of customer, utilizing AI modeling for a comprehensive view of customer experience, product research & selection as well as optimizing quality and reputation. The insights gleaned from this data can then be implemented to foster a healthy relationship between customers and brand.
