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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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 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 | |
|---|---|
| door | 11.18% |
| would not stay shut | 2.61% |
| do not close properly | 1.45% |
| hard to open | 1.02% |
| warp | 1.02% |
| will not stay open | 0.65% |
| mirror | 8.49% |
| light | 7.40% |
| lock | 6.02% |
| magnet | 4.50% |
Pros | |
|---|---|
| mirror | 13.73% |
| good | 3.14% |
| good quality | 1.96% |
| superb | 1.10% |
| right size | 0.86% |
| look lovely | 0.59% |
| light | 10.00% |
| quality | 5.85% |
| cabinet | 5.41% |
| product | 5.10% |
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 | 22 |
| light | 4 |
| lock | 3 |
| storage | 3 |
| beautiful | 2 |
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 |
|---|---|---|
| deep | 20 | deep deeper deeply deeper in depth |
| more necklace storage | 20 | more earring storage more necklace storage more earring space more better bracelet storage more bracelet & post earring hole storage |
| less ring space more necklace space | 19 | more room for necklace more space for necklace more necklace space more ring space less ring space |
| hook for necklace | 13 | more necklace hook hook for necklace more long necklace hook additional watch bracelet bar more necklace hook earring hook necklace hook on backside |
| less space | 11 | more space more space for less space high more storage |
| 1-2 more bracelet holder | 8 | more bracelet holder bracelet holder 1-2 more bracelet holder more bracelet storage |
| big | 8 | big big size |
| brighter light | 8 | light brighter more lighting lighting brighter good |
| light inside | 8 | light inside light on inside lighting inside more inside light |
| earring holder design good | 7 | earring holder design good earring holder more user friendly earring holder portion good design good earring holder situation more earring holder |
In conclusion, Amazon review analysis is a powerful tool for gaining important 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 make better use of the data available to them.
