Name: Blinkit Marketing And Customer Feedback Dashboard
Creator: Kaggle
License: http://opendatacommons.org/licenses/odbl/1.0/

About this Dataset

Blinkit Marketing And Customer Feedback Dashboard

Dataset Overview:
Contains sales data from Blinkit, including product details, order quantities, revenue, and timestamps.
Useful for demand forecasting, price optimization, trend analysis, and business insights.
Helps in understanding customer behavior and seasonal variations in online grocery shopping.
Potential Use Cases:

Time Series Analysis: Analyze sales trends over different periods.
Demand Forecasting: Predict future product demand based on historical data.
Price Optimization: Identify the impact of pricing on sales and revenue.
Customer Behavior Analysis: Understand buying patterns and preferences.
Market Trends: Explore how different factors affect grocery sales performance.
This dataset can be beneficial for data scientists, business analysts, and researchers looking to explore e-commerce and retail trends. Feel free to use it for analysis, machine learning models, and business intelligence projects.

Tables

Blinkit Customer Feedback

@kaggle.yashmotiani_blinkit_marketing_and_customer_powerbi_dashbord.blinkit_customer_feedback

121.75 kB
5,000 rows
8 columns

CREATE TABLE blinkit_customer_feedback (
  "feedback_id" BIGINT,
  "order_id" BIGINT,
  "customer_id" BIGINT,
  "rating" BIGINT,
  "feedback_text" VARCHAR,
  "feedback_category" VARCHAR,
  "sentiment" VARCHAR,
  "feedback_date" TIMESTAMP
);

Blinkit Customers

@kaggle.yashmotiani_blinkit_marketing_and_customer_powerbi_dashbord.blinkit_customers

219.15 kB
2,500 rows
11 columns

CREATE TABLE blinkit_customers (
  "customer_id" BIGINT,
  "customer_name" VARCHAR,
  "email" VARCHAR,
  "phone" BIGINT,
  "address" VARCHAR,
  "area" VARCHAR,
  "pincode" BIGINT,
  "registration_date" TIMESTAMP,
  "customer_segment" VARCHAR,
  "total_orders" BIGINT,
  "avg_order_value" DOUBLE
);

Blinkit Marketing Performance

@kaggle.yashmotiani_blinkit_marketing_and_customer_powerbi_dashbord.blinkit_marketing_performance

175.52 kB
5,400 rows
11 columns

CREATE TABLE blinkit_marketing_performance (
  "campaign_id" BIGINT,
  "campaign_name" VARCHAR,
  "date" TIMESTAMP,
  "target_audience" VARCHAR,
  "channel" VARCHAR,
  "impressions" BIGINT,
  "clicks" BIGINT,
  "conversions" BIGINT,
  "spend" DOUBLE,
  "revenue_generated" DOUBLE,
  "roas" DOUBLE
);

Blinkit Order Items

@kaggle.yashmotiani_blinkit_marketing_and_customer_powerbi_dashbord.blinkit_order_items

60.5 kB
5,000 rows
4 columns

CREATE TABLE blinkit_order_items (
  "order_id" BIGINT,
  "product_id" BIGINT,
  "quantity" BIGINT,
  "unit_price" DOUBLE
);

Blinkit Orders

@kaggle.yashmotiani_blinkit_marketing_and_customer_powerbi_dashbord.blinkit_orders

308.3 kB
5,000 rows
10 columns

CREATE TABLE blinkit_orders (
  "order_id" BIGINT,
  "customer_id" BIGINT,
  "order_date" TIMESTAMP,
  "promised_delivery_time" TIMESTAMP,
  "actual_delivery_time" TIMESTAMP,
  "delivery_status" VARCHAR,
  "order_total" DOUBLE,
  "payment_method" VARCHAR,
  "delivery_partner_id" BIGINT,
  "store_id" BIGINT
);

Blinkit Products

@kaggle.yashmotiani_blinkit_marketing_and_customer_powerbi_dashbord.blinkit_products

18.38 kB
268 rows
10 columns

CREATE TABLE blinkit_products (
  "product_id" BIGINT,
  "product_name" VARCHAR,
  "category" VARCHAR,
  "brand" VARCHAR,
  "price" DOUBLE,
  "mrp" DOUBLE,
  "margin_percentage" DOUBLE,
  "shelf_life_days" BIGINT,
  "min_stock_level" BIGINT,
  "max_stock_level" BIGINT
);