Whole 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
2023/01/20
Top 1
Top 2
Top 3
Top 4
Average Ratings
4.6
Total Reviews
26,988
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
B0089YIM68
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
B082VXLF3H
Green Mountain Coffee Roasters Ground Coffee Favorites Collection Variety Pack, 100% Arabica, 12oz. Bagged,12 Ounce (Pack of 3)
B07SVQ59WK
Starbucks Whole Bean Variety Pack Blonde Roast Espresso Roast and Pike Place 3 Bags (7 oz each)
B07YF4GW6Z
AmazonFresh Organic Fair Trade Sumatra Whole Bean Coffee, Dark Roast, 12 Ounce (Pack of 3)
B071K8FDKR

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 has a high number of reviews (26988) but an average rating of NaN. This could be due to a variety of factors, such as a recent release or a lack of consistent ratings across all reviews. It is difficult to determine customer satisfaction without an average rating, but the high number of reviews suggests that the product is popular and has a significant customer base. However, it is important to note that without an average rating, it is impossible to determine the overall sentiment of these reviews. If you are considering purchasing this product, it may be helpful to read through some of the reviews to get a better understanding of the product's strengths and weaknesses. Additionally, you may want to consider reaching out to the seller or manufacturer for more information about the product's quality and customer satisfaction. Overall, it is important to approach products with a critical eye and do your research before making a purchase. While high review numbers can be a good sign, it is important to also consider other factors such as average rating and customer feedback to make an informed decision.

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.
Who
When
Where
What
X-axis:topic. Y-axis:mentions. Red:reviews of 1-3 stars. Green:reviews of 4-5 stars

Based on the data provided, it seems that the customers who are most interested in this product are likely to be individuals who enjoy giving gifts and making cold brew coffee. The top three users mentioned are husband, wife, and friend, which suggests that this product may be popular among people who are looking for gifts for their loved ones or friends. Additionally, the top three places to use the product are grocery, house, and grocery store, which indicates that customers may be looking for a convenient and accessible way to purchase whole coffee beans. To further understand the customer profile, it may be helpful to consider the demographics of the individuals who are most likely to purchase this product. For example, it may be useful to look at age, gender, and income data to determine which groups are most likely to be interested in whole coffee beans for cold brew or as a gift. Additionally, it may be helpful to conduct surveys or focus groups to gather more information about customer preferences and needs. Based on the data provided, some suggestions for the customer profile may include targeting individuals who are interested in gourmet coffee, enjoy making cold brew at home, or are looking for unique gift ideas. Additionally, it may be helpful to focus on marketing the product in grocery stores and other convenient locations, as this seems to be where customers are most likely to purchase whole coffee beans. Overall, by understanding the customer profile and tailoring marketing efforts to meet their needs, it may be possible to increase sales and grow the customer base for this product.

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%).
Cons
bean26.59%
oily4.45%
dry3.15%
stale1.54%
dark1.19%
bitter0.71%
coffee16.68%
taste10.27%
flavor7.95%
bag6.53%
Pros
flavor29.18%
good15.80%
rich5.41%
like like2.39%
bold1.05%
fresh0.50%
coffee15.56%
taste13.95%
bean10.15%
quality2.94%
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 whole coffee beans is their bean quality, accounting for 26.59% of the mentions. The top five cons mentioned are bean, coffee, taste, flavor, and bag. On the other hand, the most frequently mentioned pro aspect is flavor, accounting for 29.18% of the mentions. From this information, we can conclude that consumers have mixed feelings about whole coffee beans. While flavor is appreciated by many, there are concerns regarding the quality of the beans, as well as issues related to coffee, taste, flavor, and packaging. To improve product development and selection, it would be beneficial to address the mentioned cons. Firstly, focusing on improving the quality of the beans would help alleviate concerns in that area. Additionally, addressing issues related to coffee, taste, and flavor could involve providing more detailed information about the taste profiles of different bean varieties or offering a wider range of flavor options. Lastly, considering the packaging aspect, it might be worth exploring more convenient and efficient packaging solutions that preserve the freshness of the beans. By addressing these cons and emphasizing the positive aspect of flavor, companies can enhance the overall customer experience and satisfaction with whole coffee beans.

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.
TopicMentions
others112
high caffeine content4
rating4
light roast3
caffeine3

Based on the data above, it seems that customers are primarily motivated to buy whole coffee beans based on the product description. This suggests that customers are looking for detailed information about the beans, such as their origin, roast level, and flavor profile. Price is also a significant factor, indicating that customers are looking for a good value for their money. Additionally, recommendations from friends play a smaller role in motivating customers to purchase whole coffee beans. To optimize an Amazon listing for whole coffee beans, it would be important to focus on creating a detailed and informative product description. This could include information about the beans' origin, roast level, flavor profile, and any other unique features. Additionally, highlighting the value of the product and offering competitive pricing could help attract customers. Finally, encouraging satisfied customers to leave reviews and recommendations could help build trust and credibility for the product.

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
more23
more
darker roast22
medium roast
dark roast
light roast
darker roast
medium dark roast
good18
good
leg strong18
strong
cheap15
cheap
low cost
price cheap
coffee13
coffee
decaf11
decaf
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
fresh9
fresh
fresh same
freshness

Based on the customer expectations mentioned, it seems that customers are looking for a darker roast and more of it, while still maintaining good quality. This suggests that customers are looking for a strong and bold flavor profile in their coffee. To meet these expectations, sellers could prioritize product development by focusing on creating blends that have a darker roast profile. They could also consider offering larger quantities of coffee beans to satisfy the "more" expectation. Additionally, sellers should ensure that the quality of the coffee beans is not compromised in the pursuit of a darker roast. In terms of marketing promotion factors, sellers could highlight the bold and strong flavor profile of their coffee beans to appeal to customers who are looking for a darker roast. They could also emphasize the larger quantities of coffee beans offered to satisfy the "more" expectation. Finally, sellers could focus on the quality of their coffee beans to meet the "good" expectation and differentiate themselves from competitors. Overall, by prioritizing product development and marketing promotion factors that meet customer expectations for a darker roast, more coffee, and good quality, sellers can better appeal to their target audience and increase sales.

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.

FAQs

Amazon Reviews

Jim Shepherd
Purchased
Good CoffeeMay 2021
It isn't bitter, acidic or cost-prohibitive. I realize to some people accustomed to paying $5 for strong, bitter coffee that's a turn-off, but discriminating coffee drinkers will appreciate the flavor.
Poor flavorMar. 2022
Poor flavor
Flett9
Purchased
Not a breakfast roast. Definitely more of a medium/dark roast.
Luckie13
Purchased
Undrinkable. Bitter, burnt, sour. Just terrible. Will never buy this again.
Walker L.
Purchased
First off, I need to make it clear that for well over two years I’ve religiously drank SF Bay K-Cup pods and LOVE them. I bought a 2lb bag of the breakfast blend and a bag of hazelnut and frankly, I think both are bad. Bad batches or bad beans. Holly cow. Smelling the beans in either bag is awful. The taste in my mouth once brewed taste rotten. I’ve never had such awful tasting coffee in my life!! We tried brewing it one way yesterday and another today to no avail. I finally smelled each bag and it’s clear they’re just bad. I don’t know if this is normal for beans from SF Bay, I hope not based on the amazing reviews but these are undrinkable.
kass
Purchased
Great freaking coffee
Tasted ok. Only average not great coffee.
K. Gulledge
Purchased
Nice RoastNov. 2021
We fresh grind daily and French press. Couldn't be better,
smooth Robust and good breakfast coffee it taste like you can taste the coffee its bright I just really like fresshness I buy wholle bean,Thank You
Kim Soto
Purchased
Delish!Mar. 2021
This coffee is so fresh and the flavor delicious. I’ve used several flavors and I’ve never been disappointed.

Read More

VOC AI Inc. 8 The Green,Ste A, in the City of Dover County of Kent Zip Code: 19901Copyright © 2024 Shulex Inc. All Rights Reserved. Terms & Conditions Privacy Policy
This website uses cookies
VOC AI uses cookies to ensure the website works properly, to store some information about your preferences, devices, and past actions. This data is aggregated or statistical, which means that we will not be able to identify you individually. You can find more details about the cookies we use and how to withdraw consent in our Privacy Policy.
We use Google Analytics to improve user experience on our website. By continuing to use our site, you consent to the use of cookies and data collection by Google Analytics.
Are you happy to accept these cookies?
Accept all cookies
Reject all cookies