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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Looking at the bestseller rankings (BSR) and average star ratings for products within this category can give us a comprehensive idea of user demand and satisfaction. This information can help us create effective pricing strategies and product offerings, catering to customers needs and optimizing their market position.
Target your customers through customer profile
By carefully analyzing customer profiles and their associated data, businesses can craft targeted solutions that meet the needs of their target audience. Leveraging voice of customer feedback, Amazon review analysis, and other audience research can give sellers invaluable insights into their customers preferences and behaviors. With this knowledge in hand, they can better design their products or marketing campaigns to appeal to the right customers and drive 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 | |
|---|---|
| blade | 12.57% |
| wear out | 1.23% |
| dull | 1.19% |
| do not last thru many shave | 0.83% |
| break | 0.79% |
| dulls pretty quickly | 0.75% |
| shaver | 8.26% |
| foil | 6.11% |
| razor | 6.06% |
| product | 5.89% |
Pros | |
|---|---|
| battery life | 10.37% |
| good | 8.08% |
| long | 0.78% |
| fantastic | 0.16% |
| incredible | 0.13% |
| solid | 0.13% |
| razor | 9.06% |
| shaver | 7.65% |
| product | 6.57% |
| blade | 6.21% |
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 |
|---|---|
| others | 61 |
| quality | 5 |
| braun | 2 |
| cut | 2 |
| good | 2 |
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 |
|---|---|---|
| last long | 94 | last long last longer last awhile last half long |
| closer shave | 31 | close shave shave close closer shave shave closer closer smoother shave |
| last 6 month | 25 | last 18 month last 5 year last 6-9 month last 1.5 year last 12 month |
| longer lasting | 21 | last longer longer lasting |
| good | 19 | good |
| last year | 17 | last year last few year last 1 year+ last 2 year last couple year |
| 4 last | 16 | last |
| affordable | 15 | cheap |
| more | 14 | more |
| cost less | 12 | less expensive cheaper cost less price less |
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.
