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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Top 4Through the analysis of bestseller rankings (BSR) and the average star ratings of products in this category, you can gain an understanding of user demand and levels of satisfaction. This data helps us make smarter decisions when it comes to pricing strategies and product offerings.
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
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 | |
|---|---|
| towel | 21.75% |
| not super absorbent | 3.36% |
| not the thick in the world | 2.90% |
| come apart | 1.94% |
| is not a good quality | 1.71% |
| big | 1.31% |
| mat | 6.44% |
| material | 3.87% |
| color | 3.36% |
| slope of the mat | 0.11% |
Pros | |
|---|---|
| mat | 13.92% |
| comfortable | 4.00% |
| easy to clean | 1.47% |
| good quality | 0.95% |
| look good | 0.87% |
| thick | 0.75% |
| color | 10.15% |
| size | 9.35% |
| towel | 9.35% |
| product | 4.88% |
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.
| Topic | Mentions |
|---|---|
| others | 90 |
| color | 15 |
| absorbent | 7 |
| size | 4 |
| good quality | 3 |
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 |
|---|---|---|
| large size | 99 | large large size big size large sizes size large |
| big | 95 | big big in size |
| last long | 35 | last long last forever |
| thinner | 33 | thicker thinner |
| Could be a little more absorbent | 23 | more absorbent more absorbency |
| know sooner | 18 | sooner |
| wider around | 17 | wider longer wide wider in width |
| 2 year ago | 16 | year ago month ago |
| longer | 14 | longer |
| last- | 13 | last |
In conclusion, Amazon review analysis is a powerful tool for gaining important 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 make better use of the data available to them.
