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.
Based on the data provided, it appears that the Amazon BSR product in the Wedding & Engagement category has a total of 18232 reviews but an average rating of NaN, which means that the average rating is not available. It is difficult to determine customer satisfaction without knowing the average rating, but the fact that there are a large number of reviews suggests that the product is popular and has been purchased by many customers. However, it is important to note that the lack of an average rating could be a red flag for potential customers who rely heavily on ratings and reviews to make purchasing decisions. It is possible that the product has received a mix of positive and negative reviews, which could be why the average rating is not available. My advice would be to read through the reviews carefully to get a better understanding of the product's strengths and weaknesses. Look for patterns in the reviews and pay attention to any recurring issues or complaints. Additionally, consider reaching out to the seller or manufacturer to ask for more information about the product and its features. This can help you make a more informed decision about whether or not to purchase the product.
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 product is primarily used for physical activities such as working out and hiking, with the gym being the most popular location for its use. Additionally, the product seems to be associated with the Wedding & Engagement category, as the top three users mentioned are wife, husband, and mother. From this data, we can infer that the product is likely marketed towards individuals who are physically active and may be looking for a way to enhance their workouts or outdoor activities. Additionally, the fact that the product is associated with the Wedding & Engagement category suggests that it may be popular as a gift for individuals who are getting married or engaged. Based on these findings, some suggestions for the customer profile could include targeting individuals who are interested in fitness and outdoor activities, as well as those who are planning weddings or engagements. Additionally, marketing efforts could focus on the product's durability and ability to withstand physical activity, as well as its potential as a unique and thoughtful gift option.
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.
|a little big||2.58%|
|do not fit properly||0.49%|
|big on my finger||0.07%|
Based on the data provided, it seems that the ring is the most important aspect of the Wedding & Engagement category, with both the top con and pro aspects being related to it. The top cons mentioned are the ring, color, glitter, material, and light blue, while the top pro is the ring itself. It's interesting to note that the cons mentioned are mostly related to the aesthetics of the product, such as color and glitter, as well as the quality of the material. This suggests that customers are looking for high-quality, visually appealing products when it comes to wedding and engagement items. As for product development and selection, it would be wise for companies to focus on improving the quality of their materials and ensuring that their products are visually appealing. Additionally, it may be helpful to offer a wider range of colors and styles to cater to different tastes and preferences. Overall, the sentiment analysis suggests that customers are looking for high-quality, visually appealing rings and other wedding and engagement items. By focusing on these aspects, companies can better meet the needs and desires of their customers.
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.
|gold color ring||2|
Based on the data provided, it seems that customers in the Wedding & Engagement category are primarily motivated by the product description when making a purchase. This could be because customers in this category are looking for specific details about the product, such as its design, materials, and features, to ensure that it meets their needs for their special occasion. Other factors that may influence customer purchases in this category include price and brand reputation, although these are mentioned less frequently than product description. Customers may be willing to pay more for a product that they perceive as high-quality or from a reputable brand, but ultimately the product description is what helps them make an informed decision. To optimize Amazon listings in this category, sellers should focus on creating detailed and accurate product descriptions that highlight the unique features and benefits of their products. They should also consider including high-quality images and videos that showcase the product from different angles and in different lighting conditions. Additionally, sellers should monitor customer reviews and feedback to identify areas for improvement and make adjustments to their listings as needed.
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.
hold up good
|half size small||11|
half size large
half size up
ring set wear
ring wear top
ring wear while
do not stretch out
size up size
Based on the customer expectations mentioned, it seems that customers in the Wedding & Engagement category are looking for thinner products, with more color and glitter options, and a preference for blue and green colors. To prioritize product development, sellers should focus on creating thinner products that are still durable and high-quality. They should also consider offering a wider range of color and glitter options to cater to different customer preferences. Additionally, incorporating blue and green colors into their products could be a good way to attract customers who are specifically looking for those colors. In terms of marketing promotion factors, sellers should highlight the thinness and durability of their products, as well as the variety of color and glitter options available. They could also consider creating marketing campaigns that specifically target customers who are looking for blue and green products. Social media platforms like Instagram and Pinterest could be effective channels for showcasing their products and reaching potential customers. Additionally, offering discounts or promotions for customers who purchase multiple products could incentivize customers to buy more and increase sales.
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.