Cardigans product research and customer review analysis

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.

Total ASIN: 10
Top 1
Top 2
Top 3
Top 4
Average Ratings
Total Reviews
This insight is based on the data from the best seller products. The top 5 of them are:
Amazon Essentials Men's Cotton Cardigan Sweater
Yeokou Men's Shawl Collar Cardigans Slim Fit Button Cable Knit Black Sweater Pockets
Kallspin Men’s Cardigan Sweater Cashmere Wool Blend V Neck Buttons Cardigan with Pockets
Goodthreads Men's Soft Cotton Shawl Cardigan Sweater
JMIERR Men's Casual Long Sleeve Shawl Collar Buttons Down Cable Knit Cardigan Sweater with Pockets

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.

Based on the data provided, it seems that the average rating for cardigans on Amazon is 4.49, which indicates a relatively high level of customer satisfaction. With a total of 5295 reviews, it suggests that there is a significant number of customers who have purchased and reviewed cardigans in this category. The high average rating implies that the majority of customers are satisfied with their purchases. This could be due to factors such as the quality of the cardigans, their design, comfort, or overall value for money. It's worth noting that customer satisfaction is subjective, and individual preferences may vary. However, the high average rating does indicate a positive trend. Based on this information, my advice would be to continue offering high-quality cardigans in this category. It's important to maintain the quality standards that have contributed to the positive customer feedback. Additionally, it would be beneficial to encourage customers to leave reviews after their purchase, as this can help build trust and attract more potential buyers. Regularly monitoring customer feedback and addressing any concerns or issues promptly can also contribute to maintaining a high level of customer satisfaction. By consistently delivering on customer expectations, you can build a strong reputation and potentially attract more customers to your cardigan products.

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.

Customer Profile
The consumer group most commonly mentioned is husband, the most commonly moment of use is christmas, the most common location is office, the most common behavior is gift give . By focusing on these key consumer characteristics, it is possible to identify pain points associated with consumer usage scenarios.
X-axis:topic. Y-axis:mentions. Red:reviews of 1-3 stars. Green:reviews of 4-5 stars

Based on the data provided, it is evident that the top three users of the cardigans are husbands, fathers, and sons. Husbands are mentioned the most frequently (412 mentions), followed by fathers (132 mentions) and sons (93 mentions). This suggests that the cardigans are popular among male family members, indicating a potential target audience of men. In terms of usage, the top three places where customers use this product are the office (60 mentions), around the house (42 mentions), and the house (38 mentions). This implies that the cardigans are versatile and suitable for various settings, both professional and casual. Furthermore, the analysis reveals that the primary usage of the product is as a gift. The phrase "gift give" is mentioned the most (150 mentions), followed by "Christmas gift great" (48 mentions). This indicates that the cardigans are often purchased as presents, particularly during the holiday season. Based on this information, it is recommended to focus marketing efforts towards individuals looking to buy cardigans as gifts for their husbands, fathers, or sons. Emphasizing the versatility of the product and its suitability for both office and casual wear can help attract potential customers. Additionally, promoting the cardigans as ideal Christmas gifts could boost sales during the festive season. Understanding the customer profile is crucial for tailoring marketing strategies and product offerings. By targeting the identified customer segments and highlighting the product's features that align with their needs and preferences, the company can effectively reach and engage its target audience.

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.

Customer Sentiment
The top 5 negative reviews are sweater, zipper, sleeve, material, pocket. The most mentioned elements about sweater are do not fit well(2.15%), big(1.00%).
The top 5 positive reviews are sweater, color, material, quality, cardigan. The most mentioned elements about sweater are comfortable(6.83%), soft(5.56%).
do not fit well2.15%
cheaply make0.43%
difficult to zip up0.14%
good quality5.09%
fit well4.96%
look good2.34%
Product pros and cons based on Amazon reviews. Consumers' sentiments which represent their opinions are identified using AI.

Based on the data provided, it seems that the top con aspect of cardigans is related to the material, specifically the sweater aspect. This is mentioned in both the top 1 and top 5 cons. Additionally, zipper, sleeve, and pocket are also mentioned as cons. On the other hand, the top pro aspect is also related to the sweater aspect, with almost 30% of respondents mentioning it. Overall, it appears that the quality of the material used in cardigans is a key factor in determining customer satisfaction. It is important for manufacturers to focus on using high-quality materials that are comfortable and durable. Additionally, attention should be paid to the design of the cardigan, particularly the zipper, sleeve, and pocket features, to ensure they are functional and easy to use. In terms of product development and selection, manufacturers should consider conducting market research to better understand customer preferences and needs. This could involve gathering feedback from customers on the design, material, and features of existing cardigans, as well as identifying trends in the market. By doing so, manufacturers can develop cardigans that meet the needs and preferences of their target audience, ultimately leading to increased customer satisfaction and sales.

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.

Buyers Motivation
Gain insight into the judgment of consumers (Top 5) when making purchase decisions, and optimize marketing strategies in a targeted manner.

Based on the data provided, it seems that customers primarily buy cardigans based on the product description. This suggests that customers are highly influenced by the information provided about the cardigans, such as the fabric, design, fit, and other relevant details. A well-written and informative product description can effectively communicate the features and benefits of the cardigan, helping customers make informed purchasing decisions. There could be several reasons why the product description is the top feature for buyers in this category. Firstly, customers may want to ensure that the cardigan meets their specific needs and preferences, such as the desired material, style, or color. A detailed product description can provide this information, allowing customers to assess whether the cardigan aligns with their requirements. Secondly, customers may rely on the product description to gauge the quality and durability of the cardigan. By highlighting the cardigan's features, such as its construction, stitching, and overall design, the product description can instill confidence in potential buyers, leading them to make a purchase. To optimize the Amazon listing based on this data, it is crucial to focus on enhancing the product description. Here are a few suggestions: 1. Provide comprehensive details: Ensure that the product description includes all relevant information about the cardigan, such as fabric type, size options, care instructions, and any unique features. The more detailed and accurate the description, the better. 2. Highlight key selling points: Identify the cardigan's unique selling points and emphasize them in the product description. This could include features like special patterns, trendy designs, or versatile styling options. 3. Use engaging language: Craft the product description in a way that captivates potential buyers. Use descriptive and persuasive language to create a compelling narrative around the cardigan, making it more appealing to customers. 4. Include customer reviews: Incorporate positive customer reviews and testimonials in the product description. This can help build trust and credibility, as potential buyers can see real experiences and opinions from previous customers. By optimizing the product description based on these suggestions, you can enhance the overall appeal of the cardigans and attract more customers to make a purchase.

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.

Customer Expectations
By understanding the specific reasons, manufacturers and retailers can develop products and marketing strategies that effectively address these needs and wants.
TopicMentionsReview Snippets
large size9
large size
big size
size large
pocket for8
in pocket6
inside pocket
without pocket
correctly fit4
fit properly
fit right
fit well
4 last3
long length3
softer thicker material3
material softer
material thicker
thicker material
2 zipper2
2-way zipper
three cent zipper

Based on the customer expectations mentioned, it seems that the most important factor for cardigans is size, followed closely by the presence of a pocket. Customers also seem to prefer cardigans that can be easily carried in a pocket. To meet these expectations, sellers should prioritize developing cardigans that come in a range of sizes, including larger sizes. They should also consider adding pockets to their cardigans, as this seems to be a popular feature among customers. Additionally, sellers should focus on creating cardigans that are lightweight and easy to carry in a pocket, as this is another important factor for customers. In terms of marketing promotion factors, sellers should highlight the size and pocket features of their cardigans in their product descriptions and advertising. They should also emphasize the versatility of cardigans, as they can be worn in a variety of settings and can be easily carried with you wherever you go. Overall, by prioritizing size, pockets, and portability in their product development and marketing efforts, sellers can meet the expectations of their customers and create a successful line of cardigans.

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.


Amazon Reviews

W. Lang
Slim fitDec. 2018
Great pattern and constructed well. I have received several compliments wearing this sweater. It fights tight, but I am on the heavy side and I don’t think that is the makers fault. The sleeves are plenty long and I appreciate that.
Tim M
Way too smallApr. 2019
Looks really nice, and really soft, but runs way too small. Had to return it.
Very nice sweater. Very well made. Would definitely buy again.
niceSept. 2022
looks good
This was a gift for an elderly man, he loved it! Cozy, warm and easy for him to put on! Well worth the money!
Really like the cardigan, although shortly after opening it from the package I found that there was a 3-inch portion on the front that wasn’t sewn.
HohohoDec. 2019
Great holiday sweater. Nice quality.
Ann Pollard
BeautifulDec. 2022
My husband loves this sweater. Substantial but light. Keeps its shape. Looks good on him!
Randy S.
comfort and warmth

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