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
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 | |
|---|---|
| zipper | 27.26% |
| break | 3.26% |
| fail | 0.98% |
| annoyance | 0.62% |
| get stuck | 0.43% |
| hard to open and close | 0.40% |
| material | 6.20% |
| sleep sack | 5.47% |
| fabric | 4.46% |
| neck hole | 1.56% |
Pros | |
|---|---|
| sleep sack | 11.13% |
| soft | 3.80% |
| good quality | 1.35% |
| good | 1.13% |
| light | 0.73% |
| roomy | 0.23% |
| material | 10.32% |
| zipper | 7.56% |
| fabric | 6.66% |
| quality | 4.94% |
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 | 133 |
| price | 3 |
| good quality | 3 |
| quality | 3 |
| recommendation | 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 |
|---|---|---|
| large size | 52 | large size big size size large large size |
| know sooner | 43 | sooner tell sooner use sooner |
| 2 zipper | 42 | double zipper two way zipper single zipper dual zipper 2 way zipper |
| work | 41 | work |
| bottom reverse zipper | 28 | zipper start bottom zipper start from bottom zipper bottom single reverse zipper zipper at bottom |
| thinner | 21 | thicker thinner |
| zipper bi directional or | 21 | two way zipper single reverse zipper 2-way zipper zipper zip both way 2 way zipper |
| small size | 17 | small size small size small small or big small sizing |
| longer | 16 | longer continue longer |
| adult size | 14 | adult size make adult size in adult size |
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.
