Our Approach

The IVOCOR Methodology

Three pillars of intelligence that transform unstructured guest feedback into institutional-grade financial metrics.

IVOCOR was built on a simple premise: guest sentiment is a leading indicator of financial performance, but only if you can quantify it correctly. Our methodology bridges the gap between qualitative feedback and quantitative financial analysis.

01 Pillar One

The SPI™ Standard

The Sentiment Performance Index is a weighted algorithmic metric that isolates specific drivers of value.

Unlike a simple "4.5 Star Rating," the SPI Score filters out noise, weights recent sentiment higher than historical data, and benchmarks each asset against its own revenue potential—not just market averages.

  • Noise filtering removes irrelevant complaints
  • Velocity weighting captures momentum
  • 12-category operational decomposition
  • Revenue-potential benchmarking
Learn More About SPI™
78.4
SPI™ Score
02 Pillar Two

The Cap/Op Split

The killer feature. Is the problem the Building or the People?

Our AI analyzes negative sentiment and classifies the root cause into two critical buckets: Capital Faults (hardware problems requiring CapEx) and Operational Faults (software problems requiring management action). This single distinction saves millions in misallocated renovation spend.

Capital Faults

Old carpet, broken AC, outdated fixtures, loud elevators, small pool

Action: CapEx Injection

Operational Faults

Rude staff, dirty rooms, slow check-in, bad breakfast, poor service recovery

Action: Management Accountability (Zero CapEx)
34% Capital
66% Operational
This asset needs management changes, not renovation.
03 Pillar Three

The SAAVR™ Report

Sentiment-Adjusted Asset Valuation Report. The institutional-grade deliverable.

The SAAVR Report overlays SPI data onto financial P&L to quantify revenue at risk and model valuation impact. It answers the question every asset manager needs answered: "How much is poor sentiment costing me, and what would fixing it be worth?"

  • Revenue at Risk quantification
  • Cap Rate impact modeling
  • Valuation adjustment projections
  • Actionable improvement roadmap
Request Sample SAAVR Report
SAAVR™ Report Generated
Revenue at Risk -$847K
Cap Rate Impact -15 bps
Valuation Delta -$2.1M
Recovery Potential +$1.8M
The Process

From Raw Data to Financial Intelligence

1

Data Ingestion

Multi-source aggregation from OTAs, direct channels, social platforms, and survey systems

2

NLP Processing

Sentiment extraction, noise filtering, category classification, and entity recognition

3

SPI Calculation

Weighted scoring, velocity analysis, benchmarking, and Cap/Op classification

4

Financial Overlay

Revenue risk modeling, Cap Rate impact, valuation adjustments, and SAAVR generation

See the Methodology in Action

Request a complimentary preliminary analysis of your portfolio. Our team will demonstrate how the IVOCOR methodology applies to your specific assets.

Request Portfolio Analysis