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
Top 2
Top 3
Top 4
Looking at the bestseller rankings (BSR) and average star ratings for products within this category can give us a comprehensive idea of user demand and satisfaction. This information can help us create effective pricing strategies and product offerings, catering to customers needs and optimizing their market position.
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
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 | |
|---|---|
| chair | 35.98% |
| uncomfortable | 4.21% |
| small | 2.00% |
| can not get comfortable | 1.48% |
| bad to put together | 1.34% |
| squeaky | 0.97% |
| seat | 9.14% |
| arm rest | 5.81% |
| wheel | 5.69% |
| arm | 3.63% |
Pros | |
|---|---|
| chair | 57.01% |
| comfortable | 32.19% |
| not too difficult to assemble | 9.33% |
| solid | 5.04% |
| easy enough to put together | 3.68% |
| good quality | 3.27% |
| assembly | 7.16% |
| seat | 5.50% |
| instruction | 4.61% |
| chair look | 2.64% |
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 | 165 |
| comfortable | 17 |
| price | 10 |
| color | 5 |
| mesh chair | 5 |
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 |
|---|---|---|
| arm adjustable | 58 | arm adjustable adjustable arm rest arm rest adjustable arm height adjustable arm adjust |
| last long | 55 | last long last longer last long longer |
| good | 36 | good |
| adjustable lumbar support | 27 | adjustable lumbar support more lumbar support good lumbar support lumbar support adjust high lumbar support |
| last year | 27 | last year last couple year last several year last few year last half year |
| arm rest | 26 | arm rest high arm rest arm rest pad pad arm rest arm rest different |
| hold up | 26 | hold up hold up good |
| 4 last | 24 | last |
| armrest high | 21 | armrest high arm high arm rest high arm high on chair arm rest level |
| chair last long | 21 | chair last long chair last awhile chair comfortable for long period of sit chair good for seat long time chair hold long than month |
Shulex VOC provides core capabilities such as customer profiles, sentiment analysis, buyers motivation and customer expectations. Enables 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. This allows data to be converted into tangible actions that promote a balanced relationship between customers and brand.
