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Advertising Media Spend and Sales Analysis Data
E-commerce & Online Transactions
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About
A collection of data points designed for analyzing the crucial impact of various forms of media advertising on commercial sales outcomes. The data facilitates an understanding of how spending across TV, Radio, and Newspaper advertising translates into sales figures, enabling data-driven decision-making for marketing and budgeting strategies. The goal of this product is to provide a robust foundation for exploring the relationships between advertising expenditures and resulting sales outcomes.
Columns
This dataset contains five essential columns detailing advertisement spending and sales results, typically measured in thousands of dollars or units:
- ID: A unique serial identifier for each observation, ranging from 1 to 200.
- TV: The monetary amount spent on television advertising (in thousands of dollars). Spending ranges widely, from $0.7k up to $296.4k, with an average expenditure of approximately $147.03k.
- Radio: The monetary amount spent on radio advertising (in thousands of dollars). Spending ranges from $0k up to $49.6k, with an average expenditure of approximately $23.29k.
- Newspaper: The monetary amount spent on newspaper advertising (in thousands of dollars). Spending ranges from $0.3k up to $114k, with an average expenditure of approximately $30.55k.
- Sales: The measured sales figures for the product (in thousands of units). Sales figures range from 1.6k units up to 27k units, averaging 14.04k units.
Distribution
The dataset comprises 200 unique entries or observations, with 5 columns of data. The file format is generally CSV. All entries are valid across all columns, with no missing values reported. An update frequency of quarterly is expected for this data product.
Usage
This data product is ideally suited for several analytical applications:
- Advertising Strategy: Businesses can evaluate the effectiveness of specific advertising channels (TV, Radio, Newspaper) on performance.
- Predictive Modeling: Analysts can construct models to forecast future sales based on planned advertising investments across different mediums.
- ROI Analysis: Marketers can calculate the return on investment for each advertising channel to optimize their overall budget allocation.
- Correlation Studies: Researchers can investigate the relationship between ad spend fluctuations and changes in consumer behavior or sales figures.
- Regression and Trend Analysis: Determine how adjustments in advertising budgets influence sales and identify performance trends over time.
Coverage
The dataset focuses purely on the variables related to commercial advertising spend and corresponding sales data. Specific geographical, temporal, or demographic scopes are not explicitly defined, providing flexibility for general correlation and regression analysis applicable to various markets.
License
CC0: Public Domain
Who Can Use It
- Businesses: To refine and optimize their marketing mix and spending across media platforms.
- Data Analysts: For building statistical models and running Comparative Analysis of media effectiveness.
- Marketing Professionals: For precise budget allocation and calculating channel-specific ROI.
- Academic Researchers: To study marketing economics and consumer response to different advertising stimulus.
Dataset Name Suggestions
- Advertising Media Spend and Sales Analysis Data
- Multi-Channel Marketing Effectiveness Dataset
- Sales Prediction based on Ad Spend
- Commercial Advertisement Data
Attributes
Original Data Source: Advertising Media Spend and Sales Analysis Data
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