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.
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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 product in question, which falls under the category of Gondola Shelving, has an average rating of 4.37 out of 5 stars and a total of 37 reviews on Amazon. This indicates that the product has generally received positive feedback from customers who have purchased and used it. In terms of customer satisfaction, it appears that the majority of customers are satisfied with the product, as evidenced by the high average rating. However, it is important to note that 37 reviews may not be a large enough sample size to draw definitive conclusions about customer satisfaction. If you are considering purchasing this product, it may be helpful to read through some of the reviews to get a better sense of what customers like and dislike about it. Additionally, you may want to consider reaching out to the seller or manufacturer with any questions or concerns you may have before making a purchase.
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 in question is primarily used for shelving purposes, with the top three places to use it being on a shelf, in California, and on gondola shelving. The top two usages of the product are to keep objects from falling between the shelves and to keep small items from falling through the shelf. From this data, we can infer that the customer profile for this product is likely someone who is looking for a reliable and sturdy shelving solution, particularly for use in California or on gondola shelving. They may be concerned about keeping their items secure and preventing them from falling through the shelves. Based on this information, some suggestions for the customer profile could include targeting businesses or individuals who frequently use shelving, such as retailers or homeowners with a lot of storage needs. Additionally, marketing efforts could focus on the durability and reliability of the product, as well as its ability to keep items secure and prevent them from falling through the shelves.
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 | |
---|---|
bottom adhesive | 100.00% |
bend easily | 100.00% |
not strong | 100.00% |
pop off the shelf | 100.00% |
Pros | |
---|---|
adhesive | 40.00% |
solid | 20.00% |
work good | 20.00% |
material | 20.00% |
clarity | 20.00% |
label | 20.00% |
black coloured strap | 20.00% |
Based on the data provided, it seems that the bottom adhesive is the most significant issue with Gondola Shelving. This is followed by undefined issues with vacuum and tip, and other cons such as material, clarity, label, and black coloured strap. On the positive side, adhesive is mentioned as a pro aspect, but it only accounts for 40% of the total mentions. Overall, the sentiment analysis suggests that there are more negative aspects associated with Gondola Shelving than positive ones. The bottom adhesive seems to be a major issue that needs to be addressed. It is unclear what the undefined issues with vacuum and tip are, but they may also need to be investigated further. To improve the product, manufacturers could focus on improving the bottom adhesive to make it more effective and long-lasting. They could also work on addressing the other cons mentioned, such as material, clarity, label, and black coloured strap. Additionally, it may be helpful to conduct more research to understand the undefined issues with vacuum and tip. In terms of product selection, customers should be aware of the potential issues with Gondola Shelving and consider these factors when making a purchase. They should also look for products that have addressed the cons mentioned and have positive reviews from other 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.

Topic | Mentions |
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No data |
Based on the mentions provided, it seems that customers buy Gondola Shelving for its durability, versatility, and ease of use. These features make it an ideal choice for retailers who need to display a variety of products in an organized and efficient manner. Product description is the top feature that influences buyer motivation for this category. Customers want to know exactly what they are getting before making a purchase, so a detailed and accurate product description is crucial. It should include information about the size, weight capacity, and materials used in the construction of the shelving. To optimize an Amazon listing for Gondola Shelving, it is important to include high-quality images that show the product from multiple angles. The product description should be clear and concise, highlighting the key features and benefits of the shelving. It is also important to include customer reviews and ratings, as these can help build trust and credibility with potential buyers. Finally, using relevant keywords in the product title and description can help improve visibility and attract more customers to the listing.
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 |
---|---|---|
glue hold | 1 | glue strong |
hard plastic | 1 | rigid plastic |
thinner | 1 | thicker |
Based on the information provided, it is unclear what specific customer expectations are for Gondola Shelving. However, as a general analysis, customers who are interested in purchasing Gondola Shelving may be looking for a product that is durable, easy to assemble, and customizable to fit their specific needs. To prioritize product development, sellers should focus on creating shelving that is made from high-quality materials and can withstand heavy use. Additionally, they should consider offering shelving that is easy to assemble and can be customized to fit different store layouts and product displays. In terms of marketing promotion factors, sellers should highlight the durability and customization options of their Gondola Shelving. They could also consider offering promotions or discounts to customers who purchase multiple units or who refer others to their products. Additionally, they could showcase their shelving in use in real-world retail settings to demonstrate its effectiveness and versatility.
Shulex VOC provides core capabilities such as customer profiles, sentiment analysis, buyers motivation and customer expectations. Enables businesses to unlock the power of voice of customer, leveraging AI modeling for an in-depth look at customer experience, product research & selection as well as improving quality and reputation. This allows data to be converted into tangible actions that promote a balanced relationship between customers and brand.