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
By taking advantage of sentiment analysis tools, businesses can uncover consumer dissatisfaction with products and decompose NR and PR automatically. Product quality issues, packaging suggestions, marketing loopholes, and inadequate service can all be presented in a digitalized format. Additionally, this data can be used to identify emerging trends before the competition and adapt the product accordingly. By combining problems found in VOCs with a set of quality problem solving procedures (CTQs), companies are able to establish a loop from issue to action that allows for continuous optimization of product quality.
Cons | |
|---|---|
| towel | 42.00% |
| not the thick in the world | 8.77% |
| not super absorbent | 6.77% |
| is not a good quality | 4.00% |
| big | 2.46% |
| come apart | 2.00% |
| material | 6.31% |
| fabric | 5.38% |
| quality | 4.46% |
| oven mitt | 2.15% |
Pros | |
|---|---|
| towel | 27.53% |
| absorb well | 2.68% |
| soft | 2.51% |
| solid | 2.43% |
| thick | 2.09% |
| good for clean up mess and dry hand | 1.51% |
| color | 9.54% |
| makeup towel | 9.54% |
| size | 9.21% |
| hand towel | 7.95% |
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 |
|---|---|
| absorbent | 4 |
| color | 3 |
| soft | 2 |
| absorb well | 1 |
| bon appetit | 1 |
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 |
|---|---|---|
| Could be a little more absorbent | 10 | more absorbent |
| big | 9 | big big in size |
| large size | 9 | large large size |
| last long | 6 | last long |
| thinner | 6 | thicker |
| bath towel | 5 | absorbent towel towel paper towel |
| decent quality | 5 | good quality |
| absorbency good | 4 | absorb easily absorb well easy to wash absorbency absorbent absorbent quality |
| absorbent kitchen towel | 4 | absorbent good size kitchen towel absorbent cotton cloth decent kitchen towel more absorbent towel |
| shrinkage | 4 | shrink do not shrink far up to 5 % shrinkage |
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.
