In the highly competitive e-commerce industry, it is essential for sellers to make use of Amazon review analysis tools to select products, improve consumer experience, and ultimately obtain better market sales and an enhanced brand presence. Through sentiment analysis, voice of customer research, Amazon review analyzers, feedback analysis, product research, audience research, competitor analysis and Amazon ratings & reviews data it is possible to gain deeper insights into customer behavior and preferences. This information can then be used to craft more effective marketing strategies 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 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
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 | |
|---|---|
| taste | 10.22% |
| chemical tasting | 1.14% |
| bad | 0.73% |
| bitter | 0.68% |
| solid | 0.68% |
| horrific | 0.64% |
| product | 7.77% |
| flavor | 7.58% |
| chip | 4.77% |
| powder | 3.27% |
Pros | |
|---|---|
| taste | 27.58% |
| good | 25.10% |
| tasty | 1.05% |
| cold | 0.18% |
| enjoy | 0.17% |
| not bad at | 0.17% |
| flavor | 21.38% |
| product | 5.50% |
| mix | 2.80% |
| chip | 2.64% |
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 |
|---|---|
| others | 93 |
| like | 7 |
| taste | 6 |
| low sugar | 5 |
| protein | 4 |
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 |
|---|---|---|
| cheap | 48 | cheap cheap price cheap price point price cheap pricing cheap |
| are not expensive | 25 | are not expensive are not pricey are not get expensive are not pricy |
| flavor | 24 | flavor flavor good flavor one flavoring |
| less pricey | 21 | less expensive more affordable 15 to 20 % less expensive less costly more affordable- |
| more | 21 | more |
| help | 19 | help |
| scoop | 18 | scoop scooper scoop in cap |
| other flavor | 17 | different flavor other flavor another flavor flavor option other flavor good |
| taste | 16 | taste good more from taste taste taste work on |
| improvement | 15 | improvement improve further improvement |
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.
