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Digital Marketing Conversion Dataset
Data Science and Analytics
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About
This dataset offers a detailed view of customer interactions with digital marketing campaigns. It incorporates demographic data, marketing-specific metrics, customer engagement indicators, and historical purchase information. The dataset is suitable for predictive modelling and analytics in the digital marketing domain, primarily for educational purposes and machine learning projects. Its main goal is to help analyse and predict customer conversion in digital marketing.
Columns
- CustomerID: A unique identifier assigned to each customer.
- Age: The age of the customer.
- Gender: The customer's gender, specified as Male or Female.
- Income: The customer's annual income, expressed in USD.
- CampaignChannel: The specific channel used for the marketing campaign, such as Email, Social Media, SEO, PPC, or Referral.
- CampaignType: The type of marketing campaign, including Awareness, Consideration, Conversion, or Retention.
- AdSpend: The monetary amount spent on the marketing campaign in USD.
- ClickThroughRate: The rate at which customers click on the marketing content.
- ConversionRate: The rate at which clicks lead to desired actions, such as purchases.
- AdvertisingPlatform: Information regarding the advertising platform, which is confidential.
- AdvertisingTool: Information regarding the advertising tool, which is confidential.
- WebsiteVisits: The total number of times a customer has visited the website.
- PagesPerVisit: The average number of pages viewed by a customer during each website session.
- TimeOnSite: The average duration, in minutes, a customer spends on the website per visit.
- SocialShares: The count of times the marketing content has been shared on social media platforms.
- EmailOpens: The number of times marketing emails have been opened by customers.
- EmailClicks: The number of times links within marketing emails have been clicked.
- PreviousPurchases: The quantity of prior purchases made by the customer.
- LoyaltyPoints: The total number of loyalty points accumulated by the customer.
- Conversion: A binary variable indicating whether the customer converted (1) or did not convert (0).
Distribution
The dataset is provided as a CSV data file, specifically
digital_marketing_campaign_dataset.csv, with a file size of 1.39 MB. It is structured in a tabular format and contains 20 columns. There are 8,000 records or rows of data available. The usability rating for this dataset is 10.00. The dataset is not expected to be updated.Usage
This dataset is ideal for several applications and use cases, including:
- Predictive modelling of customer conversion rates.
- Analysing the effectiveness of various marketing channels and campaign types.
- Identifying key factors that drive customer engagement and conversion.
- Optimising ad spend and campaign strategies to enhance return on investment (ROI).
- Machine learning projects and A/B testing analysis.
Coverage
The dataset includes demographic information such as customer Age, ranging from 18 to 69, Gender (60% Female, 40% Male), and Income, which varies from 20,000 USD to 150,000 USD annually. Geographic and specific time range scopes are not explicitly detailed in the provided information. It is noted that information for 'AdvertisingPlatform' and 'AdvertisingTool' is confidential. This is an exclusive synthetic dataset generated for educational purposes.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
This dataset is designed for use by:
- Data scientists and marketing analysts who aim to explore and model customer behaviour in response to digital marketing initiatives.
- Individuals or teams engaged in machine learning projects, particularly those focused on predicting customer conversion.
- Professionals conducting A/B testing analysis to evaluate marketing strategies.
- Users seeking a dataset for educational purposes in data science and machine learning.
Dataset Name Suggestions
- Digital Marketing Conversion Dataset
- Customer Conversion Prediction
- Marketing Campaign Effectiveness
- Digital Marketing Behaviour
Attributes
Original Data Source: Digital Marketing Conversion Dataset
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