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.
Top 1![[UpgradedVersion] Crystal Clear 1/5" Thick 47" x 40" Heavy Duty Hard Chair Mat, Can be Used on Carpet or Hard Floor](https://m.media-amazon.com/images/I/81Oj7u5S4uL.__AC_SX300_SY300_QL70_FMwebp_.jpg)
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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
Sentiment analysis can be used to uncover consumer discontent with products, automatically divide NR and PR, and present data about product quality issues, packaging recommendations, marketing flaws, and inadequate service in a digitized format. Through the issues found in VOCs with CTQs, businesses are able to initiate a closed loop from problem to action that enables constant iterations and optimization of product quality. Additionally, customer emotion data can be analyzed to facilitate predictions of upcoming trends before competitors and customize products to meet customers’ needs.
Cons | |
|---|---|
| mat | 30.93% |
| will not remain flat | 1.99% |
| slim | 1.95% |
| crack | 1.81% |
| do not stay in one place well | 1.24% |
| slide all over the floor | 1.00% |
| chair | 17.77% |
| product | 9.70% |
| wheel | 5.57% |
| chair wheel | 3.96% |
Pros | |
|---|---|
| mat | 28.22% |
| solid | 8.79% |
| thick | 3.96% |
| good quality | 2.50% |
| clear | 1.77% |
| look good | 1.60% |
| chair | 21.30% |
| product | 6.95% |
| size | 6.05% |
| chair mat | 5.06% |
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 | 104 |
| durability | 21 |
| durable | 13 |
| sturdy | 13 |
| thick | 9 |
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 |
|---|---|---|
| last long | 144 | last long last forever last long long last awhile last last long |
| large size | 102 | large large size big size size large |
| big | 54 | big |
| longer lasting | 50 | last longer last longer… |
| thinner | 46 | thicker |
| last | 28 | last |
| durable | 26 | durable |
| last more than year | 22 | last for many year last for year last more than year last long than year last more than 2-3 year |
| last year | 21 | last year last year year |
| more | 20 | more |
In conclusion, Amazon review analysis is a powerful tool for gaining important 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 make better use of the data available to them.
