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 | |
|---|---|
| screw | 16.11% |
| do not fit | 2.47% |
| short | 1.96% |
| small | 1.71% |
| teeny tiny | 1.11% |
| will not fit in the hole | 0.85% |
| adhesive | 10.49% |
| lid | 6.56% |
| product | 6.05% |
| hook | 3.50% |
Pros | |
|---|---|
| product | 18.15% |
| solid | 4.57% |
| good quality | 1.98% |
| fit well inside my cabinet | 1.73% |
| easy to assemble | 1.11% |
| easy to install | 0.74% |
| organizer | 3.70% |
| size | 3.21% |
| install | 3.21% |
| basket | 2.47% |
Make the smartest sales decisions through Buyers Motivation
Companies should strive to understand customer needs and preferences by utilizing surveys and feedback, by analyzing data from past purchases, and by tracking market trends. Doing so will help them develop effective pricing strategies that are tailored to the buyer's motivation. Furthermore, businesses can boost their sales by offering customers value through competitive prices, appropriate discounts, quality products, convenient services, and exceptional customer service. Through understanding customer motivation and providing value, companies will be able to make educated decisions that will bring long-term success.
| Topic | Mentions |
|---|---|
| others | 4 |
| look so good | 1 |
| dimension | 1 |
| glass lid | 1 |
| look almost identical to all the others with a slide bottom drawer | 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 |
|---|---|---|
| big | 10 | big large big size |
| deep | 9 | deep deeper second deep |
| adhesive strong | 8 | good adhesive adhesive good adhesive strip maintain strength adhesive tape hold strong adhesive |
| large size | 8 | big size large large size large size or size |
| wider around | 7 | wider |
| adjustable | 6 | adjustable adjustable for part adjustable |
| work | 6 | work |
| heavier sturdier | 5 | more sturdy sturdier more solid sturdy |
| assemble | 4 | assemble assemble or partially assemble assembled product mean assemble |
| big wider | 4 | wider deeper wider long wider |
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.
