Discover the wonders of this amazing cleanser that leaves your skin feeling amazing and hydrated. It effectively removes makeup, cleanses deeply, and brightens the skin without causing any irritation. However, the strong fragrance might be a concern for some. Overall, it is a great pre-wash step for a thorough cleansing routine.
Source: Amazon Product Reviews of La tienda de Face – ArrozStarting from $18, you can purchase the complete report, offering advanced filters, buyer personas, and SWOT analysis, with Excel, PDF and PowerPoint exports.
Unlock the secrets of THE FACE SHOP Rice Water Bright Face Wash with our comprehensive customer feedback analysis.
This is not good for sensitive skin despite it saying it is. Broke me out. I would not recommend to someone with highly sensitive dry skin
Been using for a week and my skin feels amazing. I follow it with the Foaming Cleanser then Etude Wonder Pore. My skin is so happy!
As a first step to cleansing it gets your face really clean and it smells great. Great pre wash to be followed up by a gentle cream/ foam cleanser.
Helps to take my makeup off so easily and don’t break me out that’s what I love about it
i was a little bit worried with the brightening because i taught my skin would be bleach but when i tell you the wonders it did to my skin omgg, my pores? EMPTYYY likee omgg 😭 sooo hydrating too
This product is absolutely amazing! It’s perfect and smells so good and makes my skin so soft
Have the complete report in your inbox with Excel, PDF and PowerPoint attachments. Need to play with the data? Enjoy our lightning-fast dashboard for further analysis.
One-time purchase without hidden or recurring costs!See the similar customer feedback reports based on reviews from Amazon and many other platforms.
Collect and centralize feedback.
Make sense of large-scale feedback.
Turn data into meaningful insights.
Find out how Kimola can improve your feedback analysis process.
Uncover customer needs, likes, and dislikes from product reviews and feedback.
Analyze customer reviews and ratings to optimize online shopping experiences.
Extract insights from social media conversations and online discussions.
Make sense of free-text survey responses with AI-powered analysis.
Understand customer sentiment and concerns from chat and call transcripts.
Identify workplace trends and employee sentiment from internal feedback and reviews.
This page displays purchase options and a preview of the customer feedback analysis report for La tienda de Face – Arroz luminoso – Limpieza de agua luz – Aceite Facial Care based on online reviews collected from Amazon. The analysis helps Skincare Product Developers, Cosmetic Retail Managers, Dermatologists, Beauty Influencers, Market Research Analysts to discover insights into what people love, dislike, and need.
This report contains qualitative analysis with Net Promoter Score, Sentiment Analysis, content classification, most popular phrases, languages and a trend graph to display how the context changes over time. After purchasing the report, you can search in customer feedback and filter results based on classification labels and popular phrases. Also, the analysis is available in PDF and PowerPoint formats, and all the reviews are available in Excel.
Yes, this page is publicly available for everyone on the internet to see. You can copy and share this link with a friend, college or on social media.
Yes, you can, and this is the fun part about Kimola! Kimola turns customer feedback into market research by analyzing online reviews from various sources.
Yes, you can have this research report analyzed with more reviews. The page you are viewing displays a limited preview with the analysis of 10 recent reviews. Starting from $18, you can buy the complete version of this research report containing all reviews. Click here to see the purchase options.
We would like to clarify that this product is not created by Amazon and is not associated with or supported by Amazon in any way.
As a user of this web scraping tool, you are solely responsible for complying with all applicable laws and adhering to Amazon's terms of use, including copyright regulations, when utilizing the extracted review data.