Vacation Rental Market Intelligence & Pricing Analytics for HomeToGo

Client Overview

HomeToGo is the world's largest vacation rental search engine, aggregating listings from Airbnb, Vrbo, Booking.com, and hundreds of smaller platforms. To maintain their meta-search leadership and expand into new markets, they needed comprehensive market intelligence covering rental pricing trends, supply distribution, and demand patterns across 200+ destinations. Actowiz built a data ecosystem tracking 3.2M+ listings globally with daily refresh cycles.

Industry & Geography

Industry

Travel & Hospitality — Vacation Rental Meta-Search

Geography

Global — 200+ destinations spanning Europe, Americas, Asia-Pacific, Middle East

Business Challenges

• Massive Data Scale
  Aggregating and normalizing data from 3.2M+ vacation rental listings across hundreds of source platforms with varying data structures and formats.
• Property Deduplication
  The same property often appeared on multiple platforms with different names, photos, descriptions, and pricing — creating catalog quality issues.
• Dynamic Pricing Complexity
  Rental pricing varied by platform, booking window, minimum stay requirements, cleaning fees, service fees, and seasonal surcharges.
• Supply Coverage Gaps
  Identifying which properties listed on niche local platforms weren't yet in HomeToGo's aggregated catalog was critical for market completeness.

Project Objectives

• Track rental pricing across 3.2M+ listings on 50+ source platforms daily
• Build property deduplication engine with 95%+ accuracy
• Create destination-level rental price index for strategic planning
• Identify supply coverage gaps against Airbnb, Vrbo, and regional platforms
• Develop demand forecasting models for top 200 destinations

Actowiz Solutions Approach

Multi-Platform Aggregator

Scalable crawling infrastructure harvesting listing data from 50+ vacation rental platforms with daily refresh and automated schema mapping.

AI Property Deduplication

Computer vision + NLP model matching properties across platforms using photos, descriptions, and geolocation coordinates with 97% accuracy.

Rental Price Index Engine

Proprietary destination-level price index factoring in property type, size, amenities, location tier, seasonality, and total cost of stay.

Demand Forecasting Model

ML model combining search trends, booking velocity, event calendars, flight data, and weather patterns to predict rental demand 90 days ahead.

Key Features

• 3.2M+ listings tracked globally
• AI property deduplication (97%)
• Destination-level price indices
• 90-day demand forecasting
• Supply coverage gap detection
• Competitor feature comparison

Business Impact

• 3.2M+ Listings Tracked Globally
• 97% Deduplication Accuracy
• 22% Supply Coverage Improvement

Before vs After Actowiz

❌ Before Actowiz

• Incomplete supply visibility
• High duplicate listing rate
• No standardized price index
• Reactive demand analysis

✅ After Actowiz

• Full 50-platform coverage
• 97% deduplication accuracy
• Proprietary rental price index
• Predictive 90-day demand models

Client Feedback

Actowiz's vacation rental intelligence is the backbone of our meta-search platform. Their deduplication engine alone saved us thousands of hours and dramatically improved our listing quality across all markets.

— Nils Regge, CTO, HomeToGo

Conclusion

Actowiz's data intelligence platform tracks 3.2M+ vacation rental listings for HomeToGo, achieving 97% deduplication accuracy and driving a 22% improvement in supply coverage — reinforcing their position as the world's largest rental search engine across 200+ destinations.