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
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.
Ship products your customers love through sentiment analysis
Sentiment analysis can be used to uncover consumer discontent with products, automatically divide NR and PR, and present data about product quality issues, packaging recommendations, marketing flaws, and inadequate service in a digitized format. Through the issues found in VOCs with CTQs, businesses are able to initiate a closed loop from problem to action that enables constant iterations and optimization of product quality. Additionally, customer emotion data can be analyzed to facilitate predictions of upcoming trends before competitors and customize products to meet customers’ needs.
Cons | |
|---|---|
| blanket | 32.61% |
| small | 8.86% |
| slim | 8.21% |
| cheaply make | 0.65% |
| come apart fast | 0.43% |
| not a good quality | 0.43% |
| material | 10.37% |
| quality | 7.78% |
| stitching | 7.34% |
| thread | 4.97% |
Pros | |
|---|---|
| blanket | 34.23% |
| soft | 15.98% |
| look good | 5.67% |
| light | 3.61% |
| good quality | 2.37% |
| large enough | 1.86% |
| blanket throw | 11.86% |
| color | 11.44% |
| design | 7.73% |
| pattern | 7.11% |
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 |
|---|---|
| soft | 4 |
| others | 3 |
| pattern | 1 |
| peacock pattern | 1 |
| adorable unicorn | 1 |
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 |
|---|---|---|
| big | 16 | big big size large |
| large size | 7 | large big size large size |
| soft | 6 | soft |
| check review | 3 | review |
| A little bit more thick. | 3 | thicker |
| big heavy | 3 | heavy weight heavy |
| stitching strong | 2 | stitching good |
| cost less | 2 | less expensive more expensive |
| fluffy or more stuffed | 2 | fluffy thicker more fluffy |
| for long time | 2 | for several year last long time |
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.
