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.
Top 1Through 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
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
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 | |
|---|---|
| pattern | 19.48% |
| hard to follow | 3.90% |
| boring | 1.30% |
| do not stand out as much as i will have like | 1.30% |
| hard to read | 1.30% |
| hard to understand | 1.30% |
| book | 12.99% |
| instruction | 11.69% |
| yarn | 7.79% |
| direction | 5.19% |
Pros | |
|---|---|
| instruction | 24.17% |
| clear | 8.33% |
| good | 6.25% |
| easy | 5.00% |
| easy to understand | 2.08% |
| easy to read | 0.83% |
| pattern | 19.17% |
| book | 12.92% |
| picture | 7.92% |
| direction | 6.67% |
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 |
|---|---|
| border | 1 |
| boring | 1 |
| colorless | 1 |
| edge book | 1 |
| not the least bit inspiring | 1 |
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 |
|---|---|---|
| add more pattern | 4 | more pattern |
| pattern | 3 | pattern pattern name pattern portion |
| double stitch | 2 | stitch same way unusual modern stitch |
| good variety | 2 | good variety more variety |
| hold hook large | 2 | hook size large hook |
| pattern include | 2 | pattern include |
| revise | 2 | revision |
| 2-color 4-color 5-color variation | 1 | 2-color 4-color 5-color variation |
| 3-color and 6-color variation | 1 | 3-color and 6-color variation |
| additional stitch option | 1 | more modern stitch |
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.
