About Clootrack Platform:
- Clootrack is a real-time customer experience analytics platform. It helps brands to understand "why" customer experience drops.
- Clootrack reduces response time to CX trends by 88%, and our clients see a reduction in churn from 5-6% to 3-4% within three to six months of onboarding.
- Clootrack obtains qualitative insights from customer conversations, feedback and reviews.
About this Datashare:
- This data share includes themes of discussion, consumer sentiments, category drivers, delighters and concerns of consumers.
- This data can be segmented by brands, categories, subcategories, price, SKUs, star ratings and date range.
- The changing consumer experience can be analyzed as a trend over time. All eCommerce categories under Beauty & Cosmetics along with brands, products, sub-products can be compared against each other.
- The data set also includes actual customer verbatim.
- The data can be used to assess customer experience or to train your internal machine learning engines.
- A data dictionary, a list of all available tables and SQL queries are available in the documentation.
Note: This is a sample dataset with one month data. If you would like the full dataset, please find our full offering on the Snowflake Data Marketplace.
Tables Included:
1. SENTIMENTS_VIEW
- This table shows the consumer sentiment towards a brand over the last month with limited rows for each day
- Customer experience trend changes over time
- Progression in positive/negative experience based on various themes
- Comparison of a brand against other competition for a sub-category
- Actual Sentences & Reviews and their respective sentiments
- Product description(SKU), Category, sub categories(L1, L2, L3..), Star ratings and respective sources
2. DRIVER_SCORES_VIEW
- This table shows Category Driver and Delighters & Concerns of brands over last months time data
- The Popularity scores is out of 1500 which compared and calculated for each brand for that Category driver
- Month-wise Category popularity for each brand
Fields Included:
1. SENTIMENTS_VIEW: These are the Sentiments table view fields
- Main Theme
- Main Theme Sentiment
- Sub Theme
- Sub Theme Sentiment
- Sub Theme Group
- Sub Theme Group Sentiment
- SKU
- Date
- Brand Name
- Location
- Price
- Source
- L1
- L2
- L3
- L4
- L5
- L6
- Sentence
- Sentence Sentiment
- Sentiment Confidence
- Product Rating
- Max Product Rating
- Review
- Review Rating
- Max Review Rating
- Clustering Confidence
2. DRIVER_SCORES_VIEW: These are the Driver Scores table view fields
- Driver
- Driver Type [Delighters, Concerns]
- L1
- L2
- L3
- L4
- L5
- L6
- Brand
- Month
- Year
- Popularity Score
- Source
Customer Testimonials:
"We were looking at the personal care market and understanding the motivations of Brand Switch in the category. The big learning has been that the review/usage drivers can be very different from the purchase/exploration drivers. The Smartness of the Filtering, it picks the right conversations and reviews for the analysis unlike a lot of tools i have used, Zero invalid convos."
- Vice President, CX Strategy, MullenLoweLintas.
"We were working on insights from our Voice of Customer program. Clootrack helped in identifying underlying trends which may not be very evident at first glance. The insights uncovered after bringing Clootrack onboard were helpful in extracting more value from our Voice of Customer data."
- Consumer Insights Head, Leading Retail Brand.