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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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
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 | |
|---|---|
| shoe | 11.76% |
| break in the first | 2.94% |
| crumble | 2.94% |
| hurt my foot so bad | 2.94% |
| less than 2 month and they are already rip | 2.94% |
| sol | 5.88% |
| material | 5.88% |
| sizing | 2.94% |
| vinyl fake leather | 2.94% |
Pros | |
|---|---|
| boot | 36.84% |
| comfortable | 11.84% |
| good | 6.58% |
| comfy | 3.95% |
| good quality | 2.63% |
| good sturdy | 2.63% |
| booty | 9.21% |
| shoe | 7.89% |
| material | 5.26% |
| insole | 3.95% |
Make the smartest sales decisions through Buyers Motivation
Making the smartest sales decisions requires understanding and responding to the voice of customer. This can be achieved by leveraging buyer motivation data, conducting competitor analysis, and engaging in thorough product research. Companies should seek to understand customer needs and preferences through surveys and feedback, analyze data from past purchases, and track market trends in order to develop effective pricing strategies. Additionally, businesses must focus on providing value to customers through competitive prices, relevant discounts, quality products, convenient services, and superior customer service. By taking into account buyer motivation and focusing on delivering value, businesses can make informed decisions that will lead to long-term success.
| Topic | Mentions |
|---|---|
| comfortable | 1 |
| description | 1 |
| feel | 1 |
| others | 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 |
|---|---|---|
| petite size | 3 | small small size |
| add more color | 2 | more color |
| 2 size down | 1 | size down |
| For the money they are asking, it should be real leather. | 1 | real leather |
| black lace | 1 | leather lace or black |
| bottom on velcro insert | 1 | velcro inside bottom |
| break in stop making noise | 1 | break in stop making noise |
| decent | 1 | decent |
| elastic | 1 | elastic |
| fully water proof | 1 | waterproof |
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.
