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Roasted Coffee Beans 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: 13
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:
Eight O'Clock Coffee The Original, Medium Roast, Whole Bean Coffee, 24 Ounce (Pack of 1), 100% Arabica, Kosher Certified
Lavazza Crema E Gusto Whole Bean Coffee Dark Roast 1 kg Bag, Authentic Italian, Blended and roasted in Italy, Full-bodied, creamy dark roast with spices notes
Green Mountain Coffee Roasters Ground Coffee Favorites Collection Variety Pack, 100% Arabica, 12oz. Bagged,12 Ounce (Pack of 3)
Starbucks Whole Bean Variety Pack Blonde Roast Espresso Roast and Pike Place 3 Bags (7 oz each)
AmazonFresh Organic Fair Trade Sumatra Whole Bean Coffee, Dark Roast, 12 Ounce (Pack of 3)

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 appears that the product in question, which falls under the category of Roasted Coffee Beans, has a total of 26,988 reviews on Amazon. However, the average rating for the product is not available (NaN). Without knowing the average rating, it is difficult to determine the level of customer satisfaction with the product. However, the fact that there are a large number of reviews suggests that the product is popular and has been purchased by many customers. If you are considering purchasing this product, it may be helpful to read through some of the reviews to get a better sense of what customers are saying about it. Look for patterns in the reviews, such as common complaints or praise, to help you make an informed decision. Additionally, you may want to consider trying a smaller quantity of the product before committing to a larger purchase, to ensure that it meets your expectations.

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 morning, the most common location is grocery, 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 who mention the product the most are the husband (417 mentions), wife (288 mentions), and friend (215 mentions). This suggests that the product appeals to a diverse range of individuals, including both family members and friends. When it comes to the places where this product is commonly used, the top three locations mentioned are the grocery (214 mentions), house (95 mentions), and grocery store (93 mentions). This indicates that customers primarily enjoy using the product in the comfort of their own homes or while shopping for groceries. In terms of usage, the top two mentioned purposes for the product are as a gift (226 mentions) and for making cold brew (161 mentions). This suggests that customers often purchase this product as a thoughtful present for others or to enjoy a refreshing cold brew coffee themselves. Based on this analysis, we can draw some conclusions about the customer profile. The product seems to be popular among individuals who value convenience and enjoy the experience of brewing their own coffee at home. It also appeals to those who appreciate the product as a gift option, indicating that it may have a reputation for quality and desirability. To further cater to this customer profile, it would be beneficial to focus on marketing the product as a great gift idea, highlighting its unique qualities and potential for customization. Additionally, emphasizing the convenience and versatility of the product for making cold brew could attract more customers who enjoy this particular brewing method. Overall, understanding the top users, places of use, and usage patterns of the product can help in tailoring marketing strategies and product development to better meet the needs and preferences of the 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 bean, coffee, taste, flavor, bag. The most mentioned elements about bean are oily(4.45%), dry(3.15%).
The top 5 positive reviews are flavor, coffee, taste, bean, quality. The most mentioned elements about flavor are good(15.80%), rich(5.41%).
like like2.39%
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 most commonly mentioned con aspect of roasted coffee beans is "bean," which accounts for 26.59% of the mentions. Additionally, the top five cons mentioned are "bean," "coffee," "taste," "flavor," and "bag." On the other hand, the top pro aspect mentioned is "flavor," accounting for 29.18% of the mentions. From this information, we can conclude that the quality and taste of the beans are crucial factors for consumers when it comes to roasted coffee beans. The negative aspects mentioned, such as the quality of the beans, the taste, and the flavor, indicate that some consumers may have experienced issues with these elements. The mention of the "bag" as a con suggests that packaging might also be a concern for some customers. To improve product development and selection, it would be beneficial to focus on addressing the cons mentioned. Ensuring high-quality beans, improving the taste and flavor, and considering more convenient and reliable packaging options could help enhance the overall customer experience. Additionally, it would be valuable to gather more specific feedback from customers to understand their preferences and expectations better. By addressing these concerns and emphasizing the positive aspect of flavor, companies can work towards creating a product that satisfies customers' expectations and preferences. Regularly seeking customer feedback and conducting market research can also aid in identifying emerging trends and staying ahead in the competitive coffee market.

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.
high caffeine content4
light roast3

Based on the data provided, it seems that customers are primarily motivated to buy roasted coffee beans based on the product description. This suggests that customers are looking for detailed information about the product, such as the origin of the beans, the roasting process, and the flavor profile. Price is also a significant factor, which suggests that customers are looking for value for money when purchasing roasted coffee beans. Additionally, recommendations from friends are also important, indicating that customers are influenced by the opinions of others when making purchasing decisions. To optimize Amazon listings for roasted coffee beans, it is important to focus on creating detailed and informative product descriptions that highlight the unique features and benefits of the product. This could include information about the origin of the beans, the roasting process, and the flavor profile, as well as any certifications or awards the product has received. Additionally, it may be helpful to offer competitive pricing and encourage customers to leave reviews and recommendations to help build social proof and increase sales.

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
darker roast22
medium roast
dark roast
light roast
darker roast
medium dark roast
leg strong18
low cost
price cheap
decaf espresso
decaf version
decaf whole bean
in decaf
bag big10
large bag
big bag
bag large
roast date9
roast date
roast on date
roast date date
roast date not
roast date sooner
fresh same

Based on the customer expectations mentioned, it seems that customers are looking for a darker roast with more flavor and a good taste. This suggests that customers are looking for a strong and bold coffee experience. To meet these expectations, sellers could prioritize developing darker roast coffee beans with a rich and robust flavor profile. They could also consider offering a variety of blends and origins to cater to different taste preferences. In terms of marketing promotion factors, sellers could highlight the unique flavor profiles of their coffee beans and emphasize the quality of their roasting process. They could also consider offering promotions or discounts to encourage customers to try their products. Overall, it is important for sellers to understand their customers' expectations and preferences in order to develop and market products that meet their needs. By prioritizing product development and marketing efforts based on customer feedback, sellers can increase customer satisfaction and loyalty.

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

Robert M.
Coffee arrived on Jan. 02, 2022, with an MFD of 28/07/2020, that's 17 months old. I would have given 1 star, accept the Best Buy Date is 30/06/2022, that's 2 years. 2 Years is a ridiculous long Best Buy Date for coffee beans.
The flavor of this coffee isn’t good. It tastes strange and I don’t think it’s very fresh when I receive it. I would try other products next time
Great taste!Jul. 2022
I love the taste of this coffee! It goes great in my latte and is always a crowd please. Highly recommend.
WooJul. 2021
Very good
Buen cafe,.May 2022
Buen cafe. Tiene sabor agradable .Me gustaría que fuera más fresco. Quizás la envoltura no es la mejor para conservar el aroma.
Coffee does not have a good flavor and is not strong. After giving it a try for three days - I went back to my regular coffee and also my headache went away - it is possible there is something in the processing of the beans which did not sit well with me.
This was a weird tasting coffee not really palatable for my taste, threw out half the bag.
Beans were very dry and lacked any oils. I am sorta surprised as I typically get good quality beans from Lavazza. I can only imagine I got a very old bag? Once brewed the coffee tasted a bit stale. I am going to chalk this up to bad luck on a batch and it should not represent Lavazza as a whole.
Jose Castano
Has an amazing creamy taste could be a little cheaper I wait till it goes on sale
Coffee tastes good but you can tell it’s not fresh. Then saw this roasted date, 1 year old!! Not ok for $30 coffee, I would never have bought had I known and won’t again

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