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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Looking at the bestseller rankings (BSR) and average star ratings for products within this category can give us a comprehensive idea of user demand and satisfaction. This information can help us create effective pricing strategies and product offerings, catering to customers needs and optimizing their market position.
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.
Ship products your customers love through sentiment analysis
By taking advantage of sentiment analysis tools, businesses can uncover consumer dissatisfaction with products and decompose NR and PR automatically. Product quality issues, packaging suggestions, marketing loopholes, and inadequate service can all be presented in a digitalized format. Additionally, this data can be used to identify emerging trends before the competition and adapt the product accordingly. By combining problems found in VOCs with a set of quality problem solving procedures (CTQs), companies are able to establish a loop from issue to action that allows for continuous optimization of product quality.
Cons | |
|---|---|
| shoe | 35.12% |
| uncomfortable | 2.37% |
| tight | 1.33% |
| narrow fitting | 1.29% |
| small | 0.83% |
| hurt | 0.21% |
| sole | 5.48% |
| sol | 4.65% |
| insole | 3.20% |
| quality | 1.99% |
Pros | |
|---|---|
| shoe | 52.97% |
| comfortable | 28.40% |
| fit good | 3.97% |
| good look | 3.72% |
| good quality | 3.64% |
| fit well | 3.43% |
| fit | 8.47% |
| sneaker | 4.34% |
| quality | 2.63% |
| color | 1.77% |
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 | 24 |
| comfortable | 15 |
| fit | 7 |
| comfort | 5 |
| easy to slip | 5 |
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.
| Topic | Mentions | Review Snippets |
|---|---|---|
| fit | 14 | fit fit good |
| stretch out | 13 | stretch stretch out stretch in |
| big wider | 9 | wider extra wide wider more wide |
| cushiony insole | 9 | insole with more cushioning memory foam insole cushion insole represent cushioned insole good cushioned insole |
| half size small | 9 | half size big half size half-size half size large half size small |
| long last | 7 | long last |
| break in | 7 | break in break-in |
| wide on side | 5 | wide extra wide |
| last year | 5 | last year last over year |
| shoe wide | 4 | narrow shoe wider shoe |
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.
