In the highly competitive e-commerce industry, it is essential for sellers to make use of Amazon review analysis tools to select products, improve consumer experience, and ultimately obtain better market sales and an enhanced brand presence. Through sentiment analysis, voice of customer research, Amazon review analyzers, feedback analysis, product research, audience research, competitor analysis and Amazon ratings & reviews data it is possible to gain deeper insights into customer behavior and preferences. This information can then be used to craft more effective marketing strategies 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 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
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 | |
|---|---|
| zipper | 23.85% |
| break | 5.46% |
| bad quality | 0.37% |
| get stick | 0.34% |
| hard to open and close | 0.17% |
| break on inside pocket the third week i | 0.03% |
| strap | 16.84% |
| bag | 14.42% |
| material | 3.74% |
| color | 1.38% |
Pros | |
|---|---|
| bag | 25.97% |
| good | 8.21% |
| look good | 2.85% |
| good quality | 2.10% |
| good size | 1.25% |
| light | 0.50% |
| color | 13.05% |
| size | 9.49% |
| backpack | 8.47% |
| material | 6.56% |
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 | 29 |
| color | 8 |
| cute | 7 |
| versatility | 6 |
| backpack | 4 |
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 | 45 | big large big size |
| last long | 22 | last long last longer last long time |
| hold up | 20 | hold up hold up good |
| lengthen shoulder strap | 13 | shoulder strap longer arm strap longer longer adjustable shoulder strap longer shoulder strap shoulder strap extendable deeper |
| enough pocket | 13 | more pocket plenty out pocket |
| front pocket deep | 12 | pocket deeper front pocket big deep slip pocket inside pocket deep large side pocket |
| last | 12 | last extra last |
| top zipper part open wider | 11 | top zipper longer main zipper area wider top opening wider top zipper longer into side top zipper open more down side |
| different color | 9 | different color other color another color |
| opening big | 8 | opening big opening large main opening big opening wide top opening big |
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.
