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Sales and Customer Satisfaction Analysis Dataset
E-commerce & Online Transactions
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About
This dataset explores the impact of interventions on sales performance and customer satisfaction. It contains information on sales and customer satisfaction levels both before and after an intervention, alongside purchase data for both control and treatment groups. The dataset is synthetic, designed specifically for use in statistical analysis [1]. One version of the dataset includes missing values (NaNs), while another does not [1].
Columns
- Group: This feature indicates whether a data point belongs to the Control or Treatment group. Categories include 'Control' and 'Treatment' [1, 2].
- Customer_Segment: Categorises customers based on their perceived value, such as 'High Value', 'Medium Value', and 'Low Value' [2]. There are three unique values, with 'Low Value' being the most common category (27%) [3].
- Sales_Before: Represents sales figures recorded prior to the intervention. This is a numerical data type [2]. The mean sales before intervention is approximately 204, with values ranging from 24.9 to 545 [3].
- Sales_After: Represents sales figures recorded after the intervention. This is a numerical data type [2]. The mean sales after intervention is approximately 280, with values ranging from 32.4 to 818 [4].
- Customer_Satisfaction_Before: Contains customer satisfaction scores measured before the intervention. This is a numerical data type [2]. The mean satisfaction before is approximately 70.3, with scores ranging from 22.2 to 100 [5].
- Customer_Satisfaction_After: Contains customer satisfaction scores measured after the intervention. This is a numerical data type [2]. The mean satisfaction after is approximately 73.9, with scores ranging from 18.2 to 100 [6].
- Purchase_Made: Indicates whether a purchase was made following the intervention, with categories 'Yes' or 'No' [2, 6]. Approximately 47% of records indicate a purchase was made, and 45% indicate no purchase [6].
Distribution
The dataset is provided as a data file, typically in CSV format [7]. One version of the dataset includes missing values (NaNs), while another does not [1]. The primary file, "Sales_with_NaNs_v1.3.csv", has a size of 802.57 kB and contains 7 columns [8]. The dataset is estimated to contain around 10,000 records. For example, the 'Group' column has 8,599 valid entries and 1,401 missing entries (14% missing) [8]. Similarly, 'Customer_Segment' has 8,034 valid entries (20% missing) [3], 'Sales_Before' has 8,478 valid entries (15% missing) [3], 'Sales_After' has 9,233 valid entries (8% missing) [4], 'Customer_Satisfaction_Before' has 8,330 valid entries (17% missing) [5], 'Customer_Satisfaction_After' has 8,360 valid entries (16% missing) [6], and 'Purchase_Made' has 9,195 valid entries (8% missing) [6].
Usage
This dataset is ideal for exploring the impact of interventions on business metrics [1]. It can be effectively used for various statistical analyses, particularly for comparing control and treatment groups, and assessing changes in sales performance and customer satisfaction over time [1]. It is suitable for predictive modelling, segment analysis, and A/B testing simulations.
Coverage
The dataset's scope covers synthetic data related to customer groups (Control and Treatment) and customer value segments (High Value, Medium Value, Low Value) [1, 2]. The data represents hypothetical scenarios before and after an intervention. Geographic, time range, and specific demographic scopes beyond customer segmentation are not detailed in the provided sources as it is a synthetic dataset [1].
License
CC BY-SA 4.0
Who Can Use It
This dataset is intended for users involved in statistical analysis, business analytics, and research related to sales and customer satisfaction. It is particularly useful for data scientists, statisticians, business analysts, and students looking to model the effects of interventions or conduct comparative studies between different groups [1, 8].
Dataset Name Suggestions
- Intervention Impact on Sales & Satisfaction
- Sales and Customer Satisfaction Analysis Dataset
- Business Intervention Performance Data
- Customer Behaviour Post-Intervention
- Synthetic Sales & Satisfaction Study
Attributes
Original Data Source: Sales and Customer Satisfaction Analysis Dataset
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