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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Through 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 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
Through sentiment analysis, businesses can uncover consumer dissatisfaction with products, automatically decompose NR and PR, and present product quality issues, packaging suggestions, marketing loopholes, and inadequate service in a digitalized format. By finding problems in VOC and combining them with a set of quality problem solving processes (CTQs), businesses can form a closed loop from problem to action, thereby achieving continuous iteration and optimization of product quality. In addition, analyzing customer emotion data can help companies foresee emerging trends ahead of competitors and tailor their products to meet customers' needs.
Cons | |
|---|---|
| flower | 35.95% |
| wilt | 6.71% |
| break | 1.85% |
| not fresh | 1.85% |
| dead | 1.39% |
| dry | 1.16% |
| rose | 13.87% |
| vase | 9.83% |
| petal | 3.82% |
| white flower | 3.58% |
Pros | |
|---|---|
| flower | 60.40% |
| look good | 49.08% |
| fresh | 9.17% |
| good | 2.60% |
| last | 1.68% |
| healthy | 0.54% |
| rose | 6.35% |
| vase | 5.58% |
| bouquet | 5.28% |
| arrangement | 4.20% |
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 |
|---|---|
| sunflower | 12 |
| flower | 2 |
| fresh | 2 |
| photo | 2 |
| " light pink " | 1 |
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 |
|---|---|---|
| good | 10 | good |
| more flower | 7 | more flower flower more color flowers more sun flower |
| last | 6 | last |
| longer lasting | 6 | last longer |
| sunflower | 5 | sunflower |
| fuller | 4 | fuller |
| red rose | 4 | red rose |
| add card | 3 | add card |
| fresher | 3 | fresher |
| last long | 3 | last long last for several |
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.
