Demand Forecasting • 18/01/2026 Mastering the art of forecasting hotel demand: strategies for revenue management excellence
Dynamic Pricing Models • 29/05/2026 Dynamic pricing for hotels in 2026: the eight levers that separate price changes from yield gains
Dynamic Pricing Models • 07/05/2026 Dynamic rate parity in 2026: how channel managers automated the death of fixed pricing
Dynamic Pricing Models • 10/07/2026 Hotel pricing strategy in 2026: from cost-plus to algorithmic rates and when each approach still works
Demand Forecasting • 26/08/2026 CoStar just raised 2026 US RevPAR to 4.4 percent. Your mid-year reforecast is already behind CoStar raised the US hotel RevPAR forecast to 4.4%. How revenue leaders should reforecast mid-year, separate event premiums from real demand and protect ADR.
Demand Forecasting • 11/08/2026 Forecasting accuracy reached 96%. It has not fixed the decisions it is supposed to inform AI hotel forecasting models can reach 96% accuracy, yet many properties still miss revenue targets. Learn how to close the gap between hotel demand forecasts and real-world decisions with timing, override governance, and concrete playbooks.
Total Revenue Management • 04/08/2026 World Cup host cities posted RevPAR premiums of 38% to 57%. Your event-pricing playbook needs more than higher rates World Cup host cities turned 38%–57% RevPAR spikes into lasting gains. How selective pricing, LOS rules and post-event discipline outperformed simple rate hikes.
Demand Forecasting • 31/07/2026 Machine learning in hotel forecasting: what the 95% accuracy benchmark actually means and what it misses Learn how to interpret machine learning hotel forecasting accuracy, choose the right error metrics, and build a hybrid framework that links AI demand forecasts to real revenue impact for your hotel.
Revenue Optimization Frameworks • 29/07/2026 One-night stays are up 9% and your rate structure was built for three-night averages: time to rethink the yield curve Discover how to redesign hotel revenue management for the structural rise of one-night stays, with data from Lighthouse and SiteMinder, tactical RMS rules, rate fences, and profit-focused KPIs.
Total Revenue Management • 27/07/2026 Ancillary revenue for hotels: the operator's guide to pricing, packaging, and measuring what guests will actually pay for Learn how ancillary revenue in hotels can become your next GOPPAR lever after OTA reduction. Explore definitions, pricing, bundles, KPIs, benchmarks, and an operational playbook for non-room income.
Rate Structures • 20/07/2026 The August shoulder trap: why dropping rates after peak week costs more than holding firm Learn how to avoid the August shoulder trap in hotel pricing with data-driven late-summer strategies, RevPAR math, and a three-line playbook for profitable shoulder season performance.
Dynamic Pricing Models • 13/07/2026 Selling the view, not the room: how attribute-based pricing is reshaping inventory management at scale Learn how attribute-based pricing (ABS) transforms hotel revenue management, from room-type grids to monetizable attributes, with real case data, implementation roadmap and technology requirements.
Demand Forecasting • 05/07/2026 How jordan’s tourism market is reshaping demand forecasting and pricing strategy Explore how Jordan’s volatile tourism market size growth from 2023 to 2025 reshapes hotel demand forecasting, segment strategy, booking channels, and BPS market share analysis using official Central Bank of Jordan and Ministry of Tourism data. by Zara Ogunbanjo
July 4th weekend pricing: the 72-hour playbook for rates, restrictions, and last-minute demand Dynamic Pricing Models • 01/07/2026 July 4th weekend pricing: the 72-hour playbook for rates, restrictions, and last-minute demand Learn how to build a July 4th hotel pricing strategy that uses dynamic rates, minimum stays, and smart channel controls to maximise ADR, RevPAR, and post-holiday revenue.
Demand Forecasting • 24/06/2026 Real-time demand sensing for hotels: why the 3-day booking window rewrote the forecasting rulebook Learn how real-time hotel demand sensing, AI-driven forecasting, and live market data help hotels protect rate in a 3-day booking window, with practical guidance for 100-room properties.
Competitive Rate Analysis • 12/06/2026 Rate parity audits that actually work: the weekly process most commercial teams skip A practical playbook for hotel rate parity audits that recover revenue, fix channel leaks, and protect direct bookings through a disciplined weekly process.
Market Segmentation • 25/05/2026 Why room categories are the last barrier between your hotel and double-digit ancillary uplift Learn how attribute-based selling helps hotels replace blunt room categories, remove the hidden tax on pricing, and unlock double-digit ancillary revenue uplift, with concrete figures, case study references and a practical ABS pilot checklist for C-suite leaders.
Competitive Rate Analysis • 22/05/2026 Uber just put 700,000 hotels behind a discount paywall. Your rate position now decides the inventory game Analysis of the Uber–Expedia hotel booking partnership, its impact on high-intent demand, loyalty discounts, merchant-of-record economics, and how hotels should model KPIs and channel profitability.
Demand Forecasting • 20/05/2026 Hotel demand forecasting in 2026: the data layers most RMS still cannot see Advanced demand forecasting in hospitality now depends on richer signals—historical data, competitor rates, intent and proximity indicators—to drive revenue management decisions, improve forecast accuracy and unlock measurable RevPAR gains.
Demand Forecasting • 13/05/2026 Building the demand forecasting tech stack: PMS, RMS, BI and the missing layer in between Guide for hotel CTOs on building a demand forecasting hospitality stack where clean PMS data, fast integrations and AI models deliver accurate, revenue-ready forecasts.
Dynamic Pricing Models • 14/05/2026 Precision over pressure: why selective rate increases are beating blanket pricing in 2026 Learn why blanket BAR hikes undermine dynamic pricing in hotels, how pickup discipline and Sunday–Tuesday tactics protect RevPAR, and what data-backed audits, owner conversations and key benchmarks reveal about modern revenue management.
Demand forecasting beyond historical data: what 95% accuracy actually requires Demand Forecasting • 07/05/2026 Demand forecasting beyond historical data: what 95% accuracy actually requires Discover how hotels can move demand forecasting accuracy from 80–85% to 95% by improving data quality, using external demand signals, and tightening revenue management routines without sacrificing guest experience. by Simone De Luca
Dynamic Pricing Models • 04/05/2026 STR confirms 2026 RevPAR will be flat. Here is the mid-year reforecast playbook STR and PwC signal flat RevPAR ahead. Here is how hotel revenue leaders must rebuild dynamic pricing, segment forecasts and ownership communication to protect ADR. by Simone De Luca
Revenue Optimization Frameworks • 22/04/2026 Pre-summer pricing: the 8 levers that move RevPAR before peak season locks in Summer hotel pricing strategy guide for revenue managers: how to use dynamic pricing, length-of-stay controls, group vs. transient mix and key ADR/RevPAR benchmarks to optimise peak-season performance. by Bjorn Lindström
