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
Sales, a key metric of costs and profits for any business, is the most intuitive and accessible data. With established social media platforms and advertising channels providing detailed insight in regards to website traffic, understanding consumer sentiment--i.e., volume--is one of the more challenging areas to analyze. Volume refers how people express their opinions on our brand's products/services/marketing efforts via various touchpoints; these voices come together as an aggregate that can tell us what consumers need or expect from us – why consumers make purchases with us over others.
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
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 | |
|---|---|
| spoon | 27.27% |
| a bit small for much juice at a time | 4.55% |
| have the crack for a long time | 4.55% |
| lose one chunk of the yellow acrylic | 4.55% |
| not comfortable | 4.55% |
| not dishwasher safe | 4.55% |
| handle | 13.64% |
| edge | 4.55% |
| critical plastic part | 4.55% |
| design | 4.55% |
Pros | |
|---|---|
| spoon | 34.00% |
| good quality | 4.00% |
| heavy duty | 4.00% |
| solid | 4.00% |
| cute little | 2.00% |
| do a good job of loosen the pulp | 2.00% |
| grapefruit spoon | 10.00% |
| weight | 6.00% |
| four leaf clover on the handle | 2.00% |
| clover design | 2.00% |
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 |
|---|---|
| similar to my other silverware | 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 |
|---|---|---|
| 1 4-3 8 | 1 | 1 4-3 8 |
| 18 spoon | 1 | 18 spoon |
| 3 pks | 1 | 3 pks |
| attractive | 1 | attractive |
| clearer mark | 1 | different mark |
| consider end user | 1 | consider end user |
| correct issue | 1 | correct problem |
| even long handle or extension | 1 | longer handle |
| handle thicker | 1 | wider handle |
| know sooner | 1 | sooner |
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.
