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
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
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 | |
|---|---|
| band | 10.58% |
| break | 0.67% |
| bad | 0.63% |
| come apart | 0.62% |
| fall off without warn | 0.44% |
| badly design | 0.39% |
| battery | 6.79% |
| product | 6.76% |
| screen | 5.41% |
| app | 4.50% |
Pros | |
|---|---|
| battery life | 11.67% |
| good | 8.94% |
| long | 0.43% |
| longer | 0.33% |
| fantastic | 0.27% |
| last about 2 day | 0.18% |
| app | 11.42% |
| sleep tracking | 5.36% |
| product | 5.17% |
| feature | 5.06% |
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 | 53 |
| sleep tracking | 50 |
| feature | 29 |
| battery life | 23 |
| ecg feature | 19 |
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 |
|---|---|---|
| last long | 117 | last long last longer last long than |
| fitbit | 44 | fitbit fitbit right fitbit sense fitness tracker headband fitbit |
| improvement | 42 | improvement improve improvements-i more improve |
| more | 42 | more |
| fix | 40 | fix fix problem fixed |
| good | 37 | good |
| battery last longer | 36 | battery last longer battery last long battery life last long charge last longer longer battery life |
| work | 31 | work |
| last more than year | 26 | last long than year last more than year last more than 16 month last more than 18 month last more than 8 month |
| last year | 24 | last year last 2 year last 3 year last few year last 1 year |
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.
