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 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 | |
|---|---|
| bag | 8.74% |
| small | 2.43% |
| big | 0.97% |
| bulky | 0.49% |
| crunchy | 0.49% |
| do not have an expiration date | 0.49% |
| texture | 7.28% |
| taste | 7.28% |
| product | 5.34% |
| piece | 4.85% |
Pros | |
|---|---|
| flavor | 18.52% |
| good | 11.67% |
| rich | 3.33% |
| like like | 0.74% |
| yummy | 0.74% |
| balance well | 0.19% |
| taste | 17.78% |
| snack | 6.48% |
| product | 6.11% |
| texture | 6.11% |
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 |
|---|---|
| freeze dry | 1 |
| good | 1 |
| low in sugar | 1 |
| mango | 1 |
| no sugar add | 1 |
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 |
|---|---|---|
| bag big | 15 | bag big big bag large bag big bag size giant bag |
| cheap | 7 | cheap price cheap |
| more in bag | 5 | more in bag |
| less pricey | 4 | less expensive less pricey more affordable |
| more | 4 | more |
| less sugar | 3 | less sugar |
| Need better quality control | 2 | good quality control more quality control |
| are not expensive | 2 | are not expensive are not pricey |
| bulk | 2 | bulk |
| dry pineapple | 2 | dry pineapple |
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.
