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
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 | |
|---|---|
| motor | 25.74% |
| bad | 0.99% |
| beast | 0.99% |
| begin skip | 0.99% |
| blown | 0.99% |
| break after 7 month of use | 0.99% |
| print quality | 2.97% |
| wiring | 1.98% |
| duet maestro | 0.99% |
| old motor | 0.99% |
Pros | |
|---|---|
| motor | 23.77% |
| work good | 4.92% |
| good quality | 4.10% |
| quiet | 2.46% |
| good | 1.64% |
| serve me well for 3d printing consistently | 0.82% |
| stepper motor | 6.56% |
| stepper | 4.10% |
| wire | 1.64% |
| motion | 1.64% |
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 |
|---|---|
| bluetooth | 2 |
| ability to turn | 1 |
| compatible with my ipad pro | 1 |
| compatible with my phone | 1 |
| mac | 1 |
Understand customers need for prioritizing what to build next
Companies should prioritize what to build next by understanding their customers' needs. Amazon review analysis can help businesses better understand customer sentiment, while product research and competitor analysis can give insights into current and upcoming trends in the market. Moreover, customer expectations should be taken into account when developing new products or features. Ultimately, prioritizing what to build next based on an in-depth understanding of customer needs will enable a company to develop successful products that maintain customer satisfaction and loyalty.
| Topic | Mentions | Review Snippets |
|---|---|---|
| help | 2 | help |
| light switch | 1 | wire switch |
| 4 pin to 6 pin connector wire | 1 | 4 pin to 6 pin connector wire |
| Awesome, wish there was a design in white | 1 | design in white |
| access both way | 1 | access both way |
| big cable | 1 | cable |
| connector at motor | 1 | connector at motor |
| do not overheat | 1 | stop overheating |
| driver profile | 1 | driver profile |
| eliminate salmon skin patterning | 1 | eliminate salmon skin patterning |
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.
