Alternative data on cruise stocks - uncorrelated with what you have.
Expertise-weighted creator sentiment time series for the publicly traded cruise companies (CCL, RCL, NCLH, VKNG) and their ships. Operational signals extracted from full transcripts. The data feed buy-side analysts can't source from Bloomberg or any generic social listening platform.
The signals
Cruise sentiment time series
Monthly weighted sentiment per cruise line and per ship, with 12+ months of stable-pipeline signal and earlier years available for ramp-period backfill. Topic-level breakdown (dining, value, service, ship condition). Useful as a leading indicator of booking demand.
Expert vs. mainstream divergence
When expert creators rate a brand significantly lower than casual travelers, latent brand risk is rising. Casuals are most easily impressed by marketing; experts see the gaps first.
Operational issue extraction
When creators flag understaffed dining, broken amenities, or policy backlash, those signals show up in earnings 1-2 quarters later. We tag severity and trend the volume.
New ship reception
Day-by-day creator sentiment from inaugural sailings. Comparison to prior ships in the same class. Content-velocity curves predicting first-year booking demand.
Coverage
Ticker classification is being assigned. Cruise-line coverage is live; ticker mapping will publish shortly.
Plus 19 additional brands tracked but not publicly traded (239 ships)
- AIDA Cruises(11)
- Azamara(4)
- Carnival Cruise Line(29)
- Celebrity Cruises(17)
- Crystal Cruises(3)
- Disney Cruise Line(8)
- Four Seasons Yachts(3)
- Holland America Line(11)
- MSC Cruises USA(23)
- Norwegian Cruise Line(22)
- Oceania Cruises(9)
- Princess Cruises(17)
- Regent Seven Seas Cruises(7)
- Royal Caribbean Group(30)
- Seabourn Cruise Line(6)
- Silversea Cruises(12)
- Viking Cruise Lines(15)
- Virgin Voyages(4)
- Windstar Cruises(8)
Useful for competitive context. Privately held cruise brands compete with the publicly traded names for the same passengers, and creator sentiment on those brands often signals demand-shift dynamics that show up at the ticker level later.
Delivery & due diligence
- Format. JSON or CSV via signed URL or S3. Snowflake share on request.
- Cadence. Daily, weekly, or monthly snapshots. Backfill available.
- DDQ. Data dictionary, methodology, sample-size disclosures, and human-evaluation accuracy benchmark roadmap available. We don't hide what we haven't measured yet.
- Trial period. Backtest with 12+ months of historical data before committing to an annual contract.
Request a sample data feed
Tell us what you'd like to see - a single brand, a full company parent, or the index across all four. We'll send a sample dataset and DDQ pack you can run a backtest against.