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
Voice of customer analysis and audience research are key elements when targeting customers through customer profile. By leveraging Amazon review analysis and other data sources, sellers can gain insights into their customers preferences and behaviors, which can be used to craft targeted solutions and develop a successful product profile. Additionally, this data can also be used to create more effective campaigns that attract the right customers and boost sales.
Ship products your customers love through sentiment analysis
By taking advantage of sentiment analysis tools, businesses can uncover consumer dissatisfaction with products and decompose NR and PR automatically. Product quality issues, packaging suggestions, marketing loopholes, and inadequate service can all be presented in a digitalized format. Additionally, this data can be used to identify emerging trends before the competition and adapt the product accordingly. By combining problems found in VOCs with a set of quality problem solving procedures (CTQs), companies are able to establish a loop from issue to action that allows for continuous optimization of product quality.
Cons | |
|---|---|
| magnet | 15.21% |
| not strong | 3.93% |
| flimsy | 3.50% |
| fell off after 3 ride | 0.51% |
| are not strong enough to hold anything to a fridge | 0.43% |
| fall off just by look at it for too long | 0.34% |
| product | 5.21% |
| shelf | 4.96% |
| direction | 3.50% |
| cushion | 3.42% |
Pros | |
|---|---|
| cushion | 12.27% |
| soft | 1.94% |
| good | 1.11% |
| give lot of support and comfort | 1.01% |
| thick | 0.65% |
| relieve my stiff and achy back | 0.46% |
| color | 8.12% |
| product | 5.07% |
| chair | 4.61% |
| stool | 3.51% |
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 |
|---|---|
| large | 2 |
| price | 2 |
| adequate thickness | 1 |
| black | 1 |
| close | 1 |
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 magnet or strong | 26 | magnet strong strong magnet big and magnets strong |
| heavier sturdier | 11 | sturdier more sturdy |
| thinner | 11 | thicker thinner |
| last long | 8 | last long |
| heavy sturdy | 7 | sturdy |
| good quality | 6 | good quality good quality good look high quality |
| last more than year | 5 | last for many year last more than year last for few year last long than year |
| big | 5 | big |
| durable | 5 | durable |
| good | 5 | good |
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.
