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.
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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 carefully analyzing customer profiles and their associated data, businesses can craft targeted solutions that meet the needs of their target audience. Leveraging voice of customer feedback, Amazon review analysis, and other audience research can give sellers invaluable insights into their customers preferences and behaviors. With this knowledge in hand, they can better design their products or marketing campaigns to appeal to the right customers and drive 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 | |
|---|---|
| product | 12.61% |
| get hot | 3.09% |
| uneven heating | 0.33% |
| do not work | 0.28% |
| bad quality | 0.23% |
| stop work after 2 month | 0.21% |
| burner | 10.01% |
| fan | 4.79% |
| knob | 3.55% |
| temperature control | 2.80% |
Pros | |
|---|---|
| product | 9.87% |
| easy to clean | 1.17% |
| good quality | 1.12% |
| easy to use | 0.99% |
| solid | 0.74% |
| light | 0.53% |
| burner | 6.38% |
| heat | 4.04% |
| hot plate | 3.99% |
| cooktop | 3.56% |
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 | 91 |
| temperature setting | 4 |
| high wattage | 3 |
| rating | 3 |
| 2 burner | 2 |
Understand customers need for prioritizing what to build next
Prioritizing what to build next can be informed by analyzing customer sentiment through Amazon reviews and product research. Competitor analysis can also be used to gain insights into current and upcoming trends. Consideration of customer expectations is critical in creating successful products that will maintain customer satisfaction and loyalty.
| Topic | Mentions | Review Snippets |
|---|---|---|
| last long | 38 | last long last awhile last forever |
| cord longer | 36 | cord longer longer cord cord long long cord cord 18 " longer |
| adjust temperature | 18 | more temperature setting finer control on temperature accurate temperature adjustment adjust temperature by degree control tempature |
| good | 15 | good |
| heat control | 13 | good temperature control more temperature control temperature control good heat control good temp control |
| longer lasting | 13 | last longer |
| last- | 11 | last |
| know sooner | 10 | sooner |
| hotter | 9 | hotter |
| work | 9 | work |
Amazon review analysis is a powerful tool for gaining customer insights that can help inform decision making and product development. Shulex VOC is an AI-powered platform that makes Amazon review analysis easier and more effective, allowing companies to leverage the data available to them. It provides companies with core capabilities such as customer profiles, sentiment analysis, buyers motivation and customer expectations. This empowers 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. These insights then can be transformed into tangible actions that promote a balanced relationship between customers and brand.
