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Marketing Spend Sales Impact
E-commerce & Online Transactions
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Free
About
This dataset contains historical information relating to sales performance, advertising expenditure, and marketing initiatives across various channels. It is a valuable resource for analysing the impact of advertising strategies on sales, facilitating A/B testing, optimising marketing budgets, and forecasting future sales trends. It is often utilised in machine learning and data analysis for tasks such as regression modelling, customer segmentation, and Return on Investment (ROI) measurement.
Columns
- tv: Represents spending on TV advertisements. Values typically range from 10,000.00 to 100,000.00, with an average of 54.1k.
- radio: Represents spending on Radio advertisements. Values typically range from 0.68 to 48,871.16, with an average of 18.2k.
- social_media: Represents spending on Social Media advertisements. Values typically range from 0.03 to 13,981.66, with an average of 3.32k.
- influencer: Categorises influencer advertisement types, including Mega (25% of entries), Micro (25% of entries), and Other (49% of entries).
- sales: Represents the sales percentage achieved. Values typically range from 31,199.41 to 364,079.75, with an average of 192k.
Distribution
The dataset is provided as a clean CSV file named
advertising_and_sales_clean.csv. It comprises 5 distinct columns and contains 4,546 valid records. There are no mismatched or missing entries within the dataset. It is expected to be updated annually.Usage
This dataset is ideally suited for:
- Analysing the effectiveness of different advertising strategies on sales.
- Conducting A/B tests for marketing campaigns.
- Optimising budget allocation across various advertising platforms.
- Forecasting future sales trends.
- Developing regression models to predict sales outcomes.
- Performing customer segmentation based on marketing exposure.
- Measuring the Return on Investment (ROI) of advertising efforts.
Coverage
The dataset focuses on advertising spend across TV, radio, social media, and influencer channels, alongside corresponding sales performance. Specific geographic regions, target audience demographics, or exact campaign start and end dates are not detailed within the provided column descriptions.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: To understand the correlations between advertising spend and sales.
- Marketing Managers: For strategic planning, budget optimisation, and campaign evaluation.
- Machine Learning Engineers: For building predictive models for sales or advertising effectiveness.
- Business Consultants: To provide data-driven insights on marketing expenditure and revenue generation.
Dataset Name Suggestions
- Marketing Spend Sales Impact
- Advertising ROI Data
- Multi-Channel Ad Sales
- Sales Performance by Ad Spend
- Advertising Effectiveness Dataset
Attributes
Original Data Source:Marketing Spend Sales Impact
QUALITY