In today's fiercely competitive e-commerce space, choosing the right products and improving user experience is paramount for sellers to increase market sales and create a strong brand presence. By leveraging tools such as sentiment analysis, voice of customer research, feedback analytics, product research, audience analytics, competitor analysis and Amazon ratings & reviews data, sellers can gain a better understanding of their customer base to develop more targeted campaigns that directly 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 seems that the Back Supports category on Amazon has a relatively high level of customer satisfaction. With an average rating of 4.38 out of 5 and a total of 2617 reviews, it appears that customers are generally happy with the products in this category. However, it's important to note that this data only provides a snapshot of customer satisfaction and doesn't necessarily reflect the experiences of all customers who have purchased back supports on Amazon. It's always a good idea to read through reviews and do your own research before making a purchase. If you're in the market for a back support, my advice would be to look for products with high ratings and positive reviews. Additionally, consider your specific needs and preferences when selecting a back support, as different products may be better suited for different types of back pain or activities.
Target your customers through customer profile
By studying customer profiles and related data, businesses can develop an optimized product profile that resonates with the target audience. Collecting voice of customer feedback, Amazon reviews, and other audience research provides valuable insights into customer behaviors and preferences, arming sellers with the knowledge to craft products or campaigns that speak to the right customers and propel sales.
Based on the data provided, it seems that the primary users of the Back Supports product are husbands, followed by mothers and wives. This suggests that the product may be more popular among men, although it is still used by women as well. The top three places where the product is used are the backyard, warehouse, and hospital, which suggests that the product is used in a variety of settings, both at home and in professional environments. The two most common uses of the product are walking and lifting, which suggests that the product is used by people who are active and may be involved in physical labor or exercise. Overall, the data suggests that the Back Supports product is most likely to be used by men who are active and may be involved in physical labor or exercise. The product is used in a variety of settings, both at home and in professional environments, and is primarily used for walking and lifting. Based on this information, some suggestions for the customer profile might include targeting men who are involved in physical labor or exercise, as well as women who may also benefit from the product. Marketing efforts could focus on the product's versatility and ability to be used in a variety of settings, as well as its ability to provide support during physical activity. Additionally, efforts could be made to target specific industries or professions where the product may be particularly useful, such as construction or healthcare.
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 bit small||0.50%|
|broken after just one month||0.50%|
|dig into my armpit||0.50%|
|do not stay on place||0.50%|
|good back support||1.79%|
|can be wear to soothe your low back or front pain||0.67%|
Based on the data provided, it seems that the most common cons of back supports are related to the brace, belt, velcro, product, and material. On the other hand, the most common pro aspect mentioned is the belt. It's worth noting that the belt is also mentioned as a con in some cases, which suggests that there may be some variability in how people perceive the effectiveness of back supports. Overall, the sentiment analysis suggests that there are both positive and negative aspects to back supports. While the belt is generally seen as a positive feature, other aspects such as the brace and material may be seen as drawbacks by some users. To improve product development and selection, it may be helpful to focus on addressing some of the common cons mentioned in the data. For example, finding ways to make the brace more comfortable or using higher-quality materials could help to improve the overall user experience. Additionally, it may be helpful to conduct further research to better understand the needs and preferences of different user groups, as this could help to inform product design and marketing strategies.
Make the smartest sales decisions through Buyers Motivation
Companies must thoroughly understand the voice of their customers in order to make smart sales decisions. This can be achieved by leveraging buyer motivation data, conducting competitor analysis, and engaging in product research. Companies should also seek out customer feedback, analyze past purchasing data, and stay updated on market trends to devise effective pricing strategies. Additionally, businesses should focus on providing value to customers with competitive prices, relevant discounts, quality products and services, and excellent customer service. By considering buyer motivation and delivering value to customers, businesses will be able to make informed decisions that will lead to profitable long-term success.
|comfortable under my shirt||1|
|lift with your||1|
|next to my skin||1|
Based on the data provided, it seems that customers are primarily motivated to buy back supports based on the product description. This is likely because back supports are a product that requires a certain level of specificity in terms of features and benefits, and customers want to ensure that they are getting a product that will meet their needs. Additionally, the fact that the product is recommended by friends is also a significant factor, as this indicates that customers trust the opinions of people they know. Price is mentioned as a factor, but it appears to be less important than the product description and recommendations from friends. This suggests that customers are willing to pay a premium for a back support that meets their needs and is recommended by people they trust. To optimize an Amazon listing for back supports, it would be important to focus on the product description. This could include highlighting the specific features and benefits of the product, as well as providing detailed information about how the back support works and what it can do for the customer. Additionally, it would be helpful to include customer reviews and testimonials that highlight the effectiveness of the product, as this can help build trust and credibility with potential buyers. Finally, it may be worth considering offering a range of back supports at different price points, as this can help appeal to a wider range of customers with different budgets and needs.
Understand customers need for prioritizing what to build next
Companies should focus on understanding their customer needs in order to prioritize what to build next. Amazon review analysis, product research and competitor analysis provide valuable insights that can help inform decision making. Additionally, it is important to consider customer expectations when deciding what products and features to work on. Doing so will result in successful products that address customer needs, delivering a higher level of satisfaction and loyalty.
|metal bar closer to front edge||2|
install more metal bar thing
metal bar in back support
|1 2 size extender||1|
2 size extension
|1 inch width||1|
1 2 inch narrow
Based on the customer expectations mentioned, it seems that size is a crucial factor for customers when it comes to back supports. While small size is mentioned the most, correct and large sizes are also important to some customers. Therefore, it is essential for sellers to offer a range of sizes to cater to different customer needs. In terms of product development prioritization, sellers should focus on creating back supports that are adjustable or come in multiple sizes. This will allow customers to find the perfect fit for their body type and provide them with the necessary support. Additionally, sellers should consider incorporating features such as breathable materials or additional padding to enhance the comfort of the back support. When it comes to marketing promotion factors, sellers should highlight the different sizes available for their back supports. They can also emphasize the benefits of using a back support, such as improved posture and reduced back pain. Additionally, sellers can target specific customer segments, such as athletes or office workers, and tailor their marketing messages accordingly. Overall, by prioritizing product development and marketing efforts based on customer expectations, sellers can create a successful back support product that meets the needs of their customers.
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.