In today's fiercely competitive e-commerce space, choosing the right products and improving user experience is paramount for sellers to increase market sales and create a strong brand presence. By leveraging tools such as sentiment analysis, voice of customer research, feedback analytics, product research, audience analytics, competitor analysis and Amazon ratings & reviews data, sellers can gain a better understanding of their customer base to develop more targeted campaigns that directly 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 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
Through sentiment analysis, businesses can uncover consumer dissatisfaction with products, automatically decompose NR and PR, and present product quality issues, packaging suggestions, marketing loopholes, and inadequate service in a digitalized format. By finding problems in VOC and combining them with a set of quality problem solving processes (CTQs), businesses can form a closed loop from problem to action, thereby achieving continuous iteration and optimization of product quality. In addition, analyzing customer emotion data can help companies foresee emerging trends ahead of competitors and tailor their products to meet customers' needs.
Cons | |
|---|---|
| remote | 12.61% |
| would not work | 3.60% |
| a few reach | 0.90% |
| bad | 0.90% |
| bunk | 0.90% |
| come apart | 0.90% |
| bag | 9.01% |
| light | 6.31% |
| divider | 4.50% |
| zipper | 3.60% |
Pros | |
|---|---|
| light | 12.74% |
| good | 3.30% |
| bright | 2.36% |
| come a variety of different mode | 0.94% |
| fun | 0.94% |
| cool pattern | 0.47% |
| bag | 11.79% |
| remote | 6.60% |
| color | 5.19% |
| cable | 5.19% |
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 |
|---|---|
| charge them | 1 |
| number | 1 |
| pattern light | 1 |
| price | 1 |
| use them for hour | 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 |
|---|---|---|
| more color & style | 2 | more color |
| bag several year | 1 | bag last 10 year |
| battery power chord longer | 1 | longer power chord |
| big | 1 | big |
| built-in spot light system | 1 | built-in spot light system |
| bulky remote | 1 | bulky remote |
| cable longer | 1 | cable longer |
| carry horizontally | 1 | carry horizontally |
| clean between stove counter | 1 | clean between stove counter |
| clean out nose hole | 1 | clean out nose hole |
Shulex VOC provides core capabilities such as customer profiles, sentiment analysis, buyers motivation and customer expectations. Enables 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. This allows data to be converted into tangible actions that promote a balanced relationship between customers and brand.
