In today's rapidly growing and highly competitive e-commerce industry, it is becoming increasingly important for sellers to effectively select products, improve customer experience, and ultimately be able to increase their market sales and strengthen their brand. Amazon review analysis and consumer research can provide key insights into customer sentiment, preferences and behaviors that can help sellers make informed decisions on product selection and marketing strategies. By utilizing tools such as sentiment analysis, voice of customer, feedback analysis, product research, audience research, competitor analysis and Amazon ratings & reviews data to gain a better understanding of the customer base it becomes possible to create more targeted campaigns that 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 | |
|---|---|
| handle | 12.96% |
| break | 2.58% |
| break in less than a year | 0.17% |
| fell off within a few month of not even daily use | 0.17% |
| begin to | 0.09% |
| difficult to transport my laundry | 0.09% |
| wheel | 9.87% |
| basket | 8.58% |
| material | 5.15% |
| bag | 3.18% |
Pros | |
|---|---|
| handle | 19.79% |
| solid | 5.46% |
| good | 4.71% |
| comfortable | 1.86% |
| easy to carry | 1.74% |
| easy on the wrist | 0.16% |
| material | 6.89% |
| bag | 6.77% |
| color | 6.49% |
| hamper | 6.21% |
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 | 12 |
| wheel | 7 |
| durable | 3 |
| easily collapsible | 3 |
| size | 3 |
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 |
|---|---|---|
| big | 46 | big |
| foot taller | 46 | taller foot taller long taller tad taller taller higher |
| large size | 24 | big size large large size |
| heavier sturdier | 21 | more sturdy sturdier more sturdier |
| hold up | 11 | hold up |
| wider around | 11 | wider |
| last long | 10 | last long last awhile last for long |
| handle on side | 9 | handle on side handle on other side handle on for side taller second handle on opposite side |
| durable | 7 | durable durable shape |
| last- | 6 | last |
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.
