Airbnb-marketing-analysis
🥈SilverThis repository hosts research project on Airbnb business in COVID-19 era. The ownership of this repository belongs to Team 5. All project content solely serves the learning goals of Data Preparation and Workflow Management (dPrep) course.
450Updated 2mo ago
Intermediate30min to implementmarketing
Saves ~10 min per use
Quick InstallView Source
git clone https://github.com/vyly2106/Airbnb-marketing-analysis.gitWorks with:
Claude
Overview
About This Skill
This skill analyzes Airbnb host survival strategies during the COVID-19 pandemic by examining pricing behavior across 17 European cities. It combines Airbnb listing data from Inside Airbnb with COVID-19 case data from the European Centre for Disease Prevention and Control to understand how pandemic severity influenced accommodation prices by room type. The analysis uses linear regression to model relationships between weekly COVID-19 cases, listing characteristics (minimum nights, reviews per month, availability), and average nightly prices. Researchers and data analysts studying pandemic economic impacts, hospitality industry resilience, or pricing dynamics can use this project to understand how external crises affect short-term rental markets and host decision-making.
Use Cases
Analyzing pandemic impact on hospitality pricing strategies
Understanding room-type dependent pricing elasticity during crises
Examining host supply-side responses to demand shocks
Studying European short-term rental market dynamics 2020-2021
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/vyly2106/Airbnb-marketing-analysisRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Analyze the Airbnb marketing strategies during the COVID-19 era for [COMPANY] in the [INDUSTRY] sector. Provide insights based on [DATA] from the research project by Team 5. Focus on key trends, challenges, and opportunities that emerged during this period.
Example Output
# Airbnb Marketing Analysis During COVID-19 ## Key Trends - **Shift to Local Markets**: Airbnb saw a significant increase in bookings for local and domestic travel as international travel restrictions were imposed. - **Longer Stays**: With remote work becoming more prevalent, there was a notable rise in longer-term stays, often referred to as 'Work from Home' or 'WFH' bookings. - **Enhanced Cleaning Protocols**: Airbnb implemented stricter cleaning guidelines to reassure guests about safety and hygiene. ## Challenges - **Decline in International Travel**: The pandemic led to a sharp decline in international travel, which was a significant revenue stream for Airbnb. - **Cancellation Rates**: High cancellation rates due to uncertainty and travel restrictions posed financial challenges for hosts. ## Opportunities - **Expansion of Airbnb Experiences**: The company capitalized on the demand for virtual experiences, offering a range of online activities and tours. - **Partnerships with Local Businesses**: Collaborations with local businesses to provide exclusive deals and packages helped boost local tourism.
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