How does SummerOS ensure data accuracy?

At SummerOS, data accuracy isn’t just a priority; it’s foundational. Our approach blends anonymized first-party performance data from connected property managers with expansive third-party market data, all enhanced through proprietary enrichment, short-term rental domain expertise, and rigorous validation protocols.

This gives you the best of both worlds. Unlike some tools that rely too heavily on scraped third-party data with little connection to real performance, or others which only surface first-party data biased by limited sample sizes, SummerOS delivers a smarter, more complete picture. We use anonymized real-world data to validate market estimates—ensuring unmatched accuracy—while keeping your actual performance data private and protected.

We believe this hybrid model results in the most accurate, privacy-conscious, and powerful STR dataset in the industry—period.

Our data approach

Unlike other platforms that rely exclusively on one type of data, SummerOS blends anonymized first-party performance data with broad third-party market data to offer the most accurate and privacy-conscious insights in the industry.

This approach allows us to:

• Triangulate discrepancies and anomalies in third-party feeds using verified, anonymized real-world data
• Maintain your competitive edge by keeping your true performance data private
• Calibrate insights at both the individual and market-wide levels for improved forecasting and benchmarking

Why this matters: Some tools rely heavily on scraped, third-party data, lacking access to verified actuals. Others only surfaces first-party data but is limited by smaller sample sizes. At SummerOS, we merge both to provide greater accuracy without bias or overexposure. Using our approach, we anonymize the first party data to triangulate abnormalities in the third-party data, ensuring the best possible accuracy without compromising your privacy on actual performance.

1st-party data

We treat our anonymized first-party data as our ground-truth benchmark—performance and availability records from actual short-term rentals. These are used to validate our third-party data, test our forecasting models, and ground our metrics in reality.

🔒 Your data stays yours.

Your true performance data lives in SummerOS and only you can access it. This is by design.

While we use anonymized third-party data to help you explore broader market trends, your actual property performance is kept entirely separate. Even if you search for your own home in Market Search, the numbers won’t match exactly because your real data is protected within your private SummerOS account.

SummerOS does not share, display, or expose any first-party data from customer accounts. All data is fully anonymized and used only for internal benchmarking, quality assurance, and model refinement. This approach ensures that your competitive advantage stays yours. No other host, investor, or competitor can see how your portfolio is actually performing.

Why it matters:

• Accuracy through verification: First-party data helps us validate assumptions and trends found in third-party sources.
• Data quality calibration: It enables us to run periodic checks to ensure that our broader market insights align with what’s actually happening at the true property level.
• Coverage-aware benchmarking: Our first-party footprint offers high-fidelity visibility in key markets—allowing targeted recalibrations that improve platform-wide accuracy.

Our approach balances data-driven insight with uncompromising data privacy, offering the best data accuracy in the STR industry.

3rd-party data: Wide coverage, intelligently-refined

To offer comprehensive market visibility, SummerOS supplements its benchmarks with high-quality, curated third-party data sources. But we don’t rely on raw feeds alone—we enrich and validate every data point.

Our integrity controls include:

• Reputable vendor partners: We work with data providers known for consistent coverage across all U.S. geographies—from major metros to rural vacation zones.
• Attribute enrichment: Every listing is enhanced with details such as cleaning fees, host type, and nuanced review data, going beyond vendor baselines.
• Monthly update cadence: Our datasets are refreshed each month to reflect shifts in listing availability, calendar status, and STR market trends.
• Lifecycle filtering: We proactively remove outdated or inactive listings that could skew market metrics.
• Booked vs. blocked classification: We use machine learning models to distinguish between true bookings and blocked calendar days—a longstanding challenge in STR analytics.
• Heuristic anomaly detection: We’ve built STR-specific logic to flag abnormal activity, such as unusual weekday-only bookings, inflated pricing, and other signs of soft blocking or platform manipulation.

What else you should know

We maintain consistent, monthly data records from the past few years. This long-term view supports:

• Seasonal and market trend analysis
• Model testing and versioning
• Internal validation and user inquiries

SummerOS also standardizes amenities across data sources and classifies them hierarchically—for example, pool.outdoor.private instead of a generic “pool.”

This enables precise comparison of listings, smarter filtering for comp sets, and better-informed revenue and occupancy forecasting.

Finally, SummerOS is never static. We continuously:

• Train and refine our machine learning models
• Expand geographic and categorical data coverage
• Tune our anomaly detection heuristics
• Improve accuracy with every new onboarding and insight

Our data methodology ensures your privacy, your accuracy, and your strategic advantage are all protected and at scale.

Looking for more information? Reach out to our team at support@summeros.com with any of your data-related questions.