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Product Sales & Customer Engagement
E-commerce & Online Transactions
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About
This dataset provides a view of marketing and product performance metrics. It is designed to assist researchers, data analysts, and marketers in evaluating campaign efficiency, product sales, and customer engagement. Containing 10,000 rows of synthetically generated data, it simulates real-world marketing scenarios, offering a rich basis for analysis and experimentation. It includes details on campaign performance (budgets, clicks, conversions, ROI, revenue), product specifics (units sold, discount levels, bundle pricing), customer insights (subscription tiers, lengths, satisfaction, purchasing behaviour), and promotional context (flash sales, common keyword themes). Key features allow for insights into budget allocation, pricing strategies, and customer engagement.
Columns
- Campaign_ID: A unique identifier for each marketing campaign.
- Product_ID: A unique identifier for each product.
- Budget: The financial budget allocated for a marketing campaign.
- Clicks: The number of clicks recorded for a campaign.
- Conversions: The number of successful conversions achieved by a campaign.
- Revenue_Generated: The revenue generated from a campaign.
- ROI: The Return on Investment for a campaign.
- Customer_ID: A unique identifier for each customer.
- Subscription_Tier: The customer's subscription level (e.g., Basic, Standard).
- Subscription_Length: The duration of the customer's subscription in months.
- Flash_Sale_ID: A unique identifier for each flash sale event.
- Discount_Level: The percentage discount applied during a promotion.
- Units_Sold: The number of units sold for a product.
- Bundle_ID: A unique identifier for product bundles.
- Bundle_Price: The price of a product bundle.
- Customer_Satisfaction_Post_Refund: A rating of customer satisfaction after a refund (on a scale of 1 to 4).
- Common_Keywords: Keywords associated with marketing campaigns or products (e.g., Affordable, Stylish).
Distribution
The dataset is provided in CSV format with the filename
marketing_and_product_performance.csv. It comprises 10,000 rows and 17 columns. All data points are artificially generated, ensuring privacy whilst maintaining statistical integrity, and simulate real-world scenarios.Usage
This dataset is ideal for:
- Marketing Analysis: Optimise campaigns and understand product success metrics.
- Predictive Modelling: Train models for conversion rate prediction, revenue forecasting, and customer segmentation.
- Educational Use: Practice data exploration, cleaning, and analysis in a realistic marketing context.
Coverage
This dataset consists of synthetically generated data, simulating real-world marketing scenarios. It does not represent specific geographic, time range, or demographic coverage from real-world populations, as it is designed to protect privacy.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
This dataset is suitable for:
- Researchers: To conduct studies on marketing effectiveness and consumer behaviour.
- Data Analysts: To evaluate campaign efficiency, product sales, and customer engagement.
- Marketers: To gain insights into budget allocation, pricing strategies, and customer responses.
- Students and Educators: For learning and teaching data exploration, cleaning, and analysis within a marketing context.
- Data Scientists: For developing and testing predictive models for conversions, revenue, and customer segmentation.
Dataset Name Suggestions
- Marketing Performance Insights
- Product Sales & Customer Engagement
- Digital Marketing Analytics
- E-commerce Performance Metrics
- Campaign & Product Strategy Data
Attributes
Original Data Source: Product Sales & Customer Engagement
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