In today's rapidly growing and highly competitive e-commerce industry, it is becoming increasingly important for sellers to effectively select products, improve customer experience, and ultimately be able to increase their market sales and strengthen their brand. Amazon review analysis and consumer research can provide key insights into customer sentiment, preferences and behaviors that can help sellers make informed decisions on product selection and marketing strategies. By utilizing tools such as sentiment analysis, voice of customer, feedback analysis, product research, audience research, competitor analysis and Amazon ratings & reviews data to gain a better understanding of the customer base it becomes possible to create more targeted campaigns that meet customer needs and drive customer satisfaction.
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.
Based on the data provided, it is evident that the top three users of the lingerie product are the daughter, wife, and friend. The daughter has the highest number of mentions (272), followed closely by the wife (234) and the friend (200). This suggests that the product appeals to a diverse range of individuals, including family members and close friends. When it comes to the places where this product is commonly used, the gym takes the lead with 226 mentions, indicating that customers find it suitable for their workout routines. The second most mentioned location is around the house (133 mentions), suggesting that the product is versatile and comfortable for everyday wear. Surprisingly, the washer only received three mentions, which could imply that customers prefer to hand wash or use alternative methods to care for their lingerie. In terms of usage, the most prominent mention is for workouts, with 1038 mentions. This indicates that customers primarily associate this lingerie with exercise and physical activities. The second most mentioned usage is "ga" (157 mentions), which could refer to yoga or other similar activities. Based on this analysis, we can draw some conclusions about the customer profile. The product seems to cater to a wide range of individuals, including daughters, wives, and friends. It is popular among those who engage in physical activities, particularly workouts and possibly yoga. The versatility of the product is evident from its usage both at the gym and around the house. To better cater to this customer profile, it would be beneficial to focus on marketing the product as suitable for various physical activities, highlighting its comfort and functionality. Additionally, promoting the product's versatility for everyday wear could attract more customers who value comfort and style in their daily lives. Collaborating with fitness influencers or creating content that showcases the product's performance during workouts could also help reach the target audience effectively.
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 | |
|---|---|
| bra | 11.03% |
| super tight | 0.26% |
| is not supportive for me | 0.24% |
| a little big around | 0.22% |
| not any support | 0.11% |
| not give you any support | 0.02% |
| material | 6.30% |
| fabric | 4.34% |
| band | 4.01% |
| elastic | 2.88% |
Pros | |
|---|---|
| bra | 22.53% |
| comfortable | 14.45% |
| supportive | 1.61% |
| cute comfy | 1.42% |
| good quality | 1.06% |
| pretty | 0.43% |
| fit | 19.42% |
| material | 7.97% |
| color | 4.85% |
| strap | 4.46% |
Based on the data provided, it seems that the most frequently mentioned aspect in both the pros and cons of the lingerie category is the bra. This suggests that the bra is a significant factor influencing people's opinions about lingerie. In terms of cons, the top five mentioned aspects are bra, material, fabric, band, and elastic. This indicates that customers have concerns about the quality and comfort of the bra, as well as the overall materials used in lingerie products. It's important for manufacturers to address these issues to improve customer satisfaction. On the positive side, the top pro aspect mentioned most is also the bra. This suggests that when the bra fits well and is comfortable, it is highly appreciated by customers. This highlights the importance of focusing on bra design and fit during product development. Based on these findings, here are some suggestions for product development and selection in the lingerie category: 1. Bra improvement: Manufacturers should prioritize enhancing the fit, comfort, and quality of bras. This could involve using better materials, improving the design of bands and elastic, and ensuring a wide range of sizes are available. 2. Material selection: Pay attention to the materials used in lingerie products. Customers have expressed concerns about the fabric, so it's crucial to choose high-quality materials that are soft, durable, and breathable. 3. Color and strap variety: Customers have mentioned color and strap as cons, indicating a desire for more options in these areas. Offering a wider range of colors and strap styles can help cater to diverse customer preferences. 4. Customer feedback: Continuously gather feedback from customers to understand their needs and preferences better. This can be done through surveys, reviews, or social media engagement. Incorporating customer feedback into product development can lead to more successful and satisfying lingerie offerings. By addressing these cons and focusing on the pros, lingerie manufacturers can improve their products and meet the expectations of their customers, ultimately leading to increased customer satisfaction and loyalty.
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 | 177 |
| comfortable | 17 |
| size | 9 |
| fit | 8 |
| comfort | 7 |
Based on the data provided, it seems that customers are primarily motivated to buy lingerie based on the product description. This suggests that customers are looking for detailed information about the product, such as its materials, sizing, and features. Other factors that influence customer purchases include advertising attraction and recommendations from friends. This suggests that customers may be drawn to lingerie that is visually appealing and has a strong brand presence, as well as products that have been recommended by people they trust. To optimize Amazon listings for lingerie products, it is important to focus on creating detailed and informative product descriptions. This can include information about the materials used, sizing charts, and any special features or benefits of the product. Additionally, it may be helpful to include high-quality images that showcase the product from multiple angles and in different lighting conditions. Finally, leveraging social proof, such as customer reviews and ratings, can help build trust and credibility with potential buyers.
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 |
|---|---|---|
| last long | 48 | last long last longer last forever last awhile last long time |
| less colorful | 32 | more color |
| large size | 28 | large big size large size size size large |
| correctly fit | 17 | fit nicely fit good fit snug fit right fit correctly |
| help | 13 | help |
| good | 11 | good |
| medium | 10 | medium |
| more color & style | 10 | more color |
| decent quality | 8 | quality alright good quality high quality |
| duration long | 7 | long |
Based on the customer expectations mentioned, it seems that size is a crucial factor for customers when it comes to lingerie. The fact that "large size" was mentioned 28 times indicates that there is a significant demand for lingerie that caters to larger body types. This suggests that sellers should prioritize developing products that are available in a wide range of sizes, including larger sizes. Additionally, customers expect the lingerie to be of good quality, which is mentioned 11 times. This means that sellers should focus on developing high-quality products that are durable and comfortable to wear. They should also consider using high-quality materials that are soft and breathable. The fact that "next size up" was mentioned 5 times suggests that customers are looking for lingerie that fits well and is comfortable to wear. This means that sellers should prioritize developing products that are designed to fit well and provide support where needed. They should also consider offering products that are adjustable, such as bras with adjustable straps or panties with adjustable waistbands. In terms of marketing promotion factors, sellers should focus on highlighting the size range of their products and the quality of the materials used. They should also consider using models of different body types to showcase the fit and comfort of their products for customers of all sizes. Additionally, they could offer promotions or discounts for customers who purchase multiple items or refer friends to their store. Overall, sellers should prioritize developing lingerie that caters to a wide range of sizes and is of high quality. By doing so, they can meet the expectations of their customers and build a loyal customer base.
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.
