Lares is an R-based AI skill for marketing analytics and machine learning. It automates data exploration, predictive modeling, and marketing mix modeling. Connects to H2O and Robyn for scalable machine learning. Ideal for marketing teams needing automated insights and predictive analytics.
git clone https://github.com/laresbernardo/lares.gitLares is an R-based AI skill for marketing analytics and machine learning. It automates data exploration, predictive modeling, and marketing mix modeling. Connects to H2O and Robyn for scalable machine learning. Ideal for marketing teams needing automated insights and predictive analytics.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/laresbernardo/laresCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze the marketing data for [COMPANY] in the [INDUSTRY] sector using R. Please provide insights on customer behavior, trends, and potential improvements based on the following dataset: [DATA].
### Customer Behavior Analysis for XYZ Corp **Overview**: The analysis of the dataset provided reveals significant insights into customer engagement and purchasing patterns. - **Trends**: - 70% of customers prefer online shopping during weekends. - A 15% increase in sales was noted during promotional events. - **Customer Segmentation**: - Segment A (age 18-25): High engagement on social media. - Segment B (age 36-50): Prefers email newsletters. **Recommendations**: - Increase weekend promotions to capitalize on peak shopping times. - Tailor marketing strategies to focus on social media for younger customers and email campaigns for older segments.
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