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[email protected] (Anders Johansson)

63 posts
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  • 3 min

Hotel Groups Must Analyze Acquisition Costs Per Channel to Improve Profit Margins Amid Rising Expenses

  • [email protected] (Anders Johansson)
  • 23 July 2026
📈 Costs in the U.S. hotels rise by 4% annually while GOP margins decline. With 10 hotels, diverse commission structures and marketing budgets create inconsistencies, hiding true acquisition costs per channel. Groups identifying and solving this issue focus on per-channel visibility, revealing unprofitable channels and adjusting strategies accordingly. Three recommended steps: calculate acquisition costs for one hotel manually, compare channel contribution with RevPAR, make data-driven channel decisions. CEOs can improve margins by optimizing existing demand.
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  • 3 min

80% of Hotels Spend Up to Two Days Weekly on Manual Reporting, Impacting Revenue Management

  • [email protected] (Anders Johansson)
  • 21 July 2026
📈 Knowing the cause of a soft month early can make a difference. In week two, issues like non-repeating citywide events and closer-to-arrival bookings are evident. 80% of hotels spend up to two business days weekly on manual reporting, yet miss real-time insights. A demand misread of 8-12% at a 200-room hotel can cost €250,000 annually. Recommendations: log causes in real time, forecast beyond rooms, and align variance format with the GM. This reduces reconciliation time and aids strategic focus.
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  • 4 min

U.S. Hotel Operating Costs Rise 4% Annually, Driving Need for Unified Forecasting to Prove ROI and Support Growth

  • [email protected] (Anders Johansson)
  • 16 July 2026
🏨 U.S. hotel operating costs rise 4% annually, while RevPAR growth lags, causing a decline in GOP margins for three consecutive years. General managers change every 2.5 years, mainly due to conflicts with owners. 80% of hotels spend two business days weekly on manual reporting. Hotels with a single forecast can increase revenue by 1.9% and earnings by 4.7% compared to peers. Emphasizing a unified reporting system aids growth and maintains GM retention.
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  • 4 min

Hotel Groups Lose Over €40,000 Annually Per Property Due to Delayed Decision-Making and Inefficient Forecasting

  • [email protected] (Anders Johansson)
  • 9 July 2026
🏨 A 120-room hotel spends €24,000 annually on labor gathering data, leading to a €40,000 annual loss, including €16,000 from delayed decisions. For a group of 11 hotels, the cost escalates to €440,000. Inefficiencies arise from poor forecasting, overstaffing, and wasted resources. Classic Norway Hotels reduced spreadsheet use by 95%, saving 4,800 hours yearly. Implementing unified forecasts and synchronized decision-making across properties can significantly reduce these costs.
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  • 3 min

Classic Norway Hotels Reduces Spreadsheet Use by 95%, Saving 4,800 Hours Annually with Unified Revenue System

  • [email protected] (Anders Johansson)
  • 7 July 2026
📈 Sales, marketing, and revenue teams face inefficiencies, spending 12-15 hours weekly on manual data reconciliation. Incomplete data, especially from non-room services, skews decision-making. Classic Norway Hotels cut spreadsheet use by 95%, saving 4,800 hours annually through a unified system. To optimize, integrate total revenue data, end number discrepancies, and build forward-looking forecasts. A single, shared forecast can prevent missed opportunities, enhance pricing strategies, and improve profit margins.
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  • 4 min

Analyzing Group Bookings Against Transient Demand Reveals True Revenue Impact, Suggests New Evaluation Strategies

  • [email protected] (Anders Johansson)
  • 2 July 2026
📊 Group bookings are not always wins. A group priced at 180 EUR can replace transient bookings at 240 EUR, resulting in a 60 EUR loss per night. High-demand weeks see transient guests taking up 80% of potential rooms, while low-demand weeks see only 10%. Honest scoring involves comparing group revenue minus costs with a transient-only scenario, impacting sales strategies and group mix decisions. Three key actions include evaluating displaced transient demand, carrying full costs in evaluations, and scoring groups 30 days post-departure.
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  • 5 min

Hotels Should Rank Booking Channels by Net Contribution, Not Room Revenue, to Optimize Profitability

  • [email protected] (Anders Johansson)
  • 30 June 2026
📊 The article highlights the impact of net contribution ranking on commercial strategies. OTA commissions range from 15% to 25%, while wholesale markups are 20% to 30%. Booking.com has high cancellation rates compared to brand.com voice. Loyalty bookings can sometimes contribute less than OTA bookings. Three actions for hotels include rebuilding rankings, mapping cost stacks, and reviewing bottom channels quarterly. The integration of various systems is crucial to determine net contribution per booking.
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Demand Calendar Advises Hotels to Analyze Booking Pace and Capacity for Accurate Monthly Revenue Forecasts

  • [email protected] (Anders Johansson)
  • 25 June 2026
📅 July is ahead of last year on the books, but the true finish depends on if it fills as well. A snapshot isn't the final number; remaining pickup pace matters. A room type selling out early can cap overall performance. Evaluate three aspects: remaining pickup vs. last year, treat the landing as a range, and check room type capacity. Demand Calendar reconciles data to show real outcomes, factoring in capacity constraints.
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Revenue Gains: Distinguishing Between Pricing and Mix Changes to Avoid Misleading Financial Interpretations

  • [email protected] (Anders Johansson)
  • 23 June 2026
📊 July's revenue rose 6% from last year, but be cautious: a higher average daily rate (ADR) might not signify effective pricing, but rather a shift in booking mix. Separating volume, mix, and rate reveals true gains. Misinterpreting mix gains as pricing victories can lead to strategic errors. Use three checks: analyze monthly variance, segment share shifts, and identify lost segments. Proper analysis prevents costly misreads and ensures accurate decision-making for future quarters.
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  • 3 min

Smaller Hotel Groups Can Outperform Chains by Prioritizing Speed in Decision-Making Over Data Accumulation

  • [email protected] (Anders Johansson)
  • 18 June 2026
📈 Twelve months after deploying a new data platform, decision speed remains unchanged across the hotel group. Chains boast larger data analytics teams and budgets, but small groups can exploit speed. For instance, when a concert causes a demand spike, chains take weeks to adjust prices, while smaller groups can reprice in a day. Winning depends on a tight decision rhythm: one forecast, a weekly decision meeting, and tracking actions, not just data.
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