NBTA Convention & Exposition | August 8-11, 2010 Houston, Texas Travel Procurement Workshop Scott Gillespie Author Gillespie’s Guide to Travel+Procurement NBTA Convention & Exposition | August 8-11, 2010 1 MODERN AIRLINE SOURCING 2 Key Analytical Concepts Fair Market Share (FMS) Airline Supplier Map Fare mix, discounts, and Net Effective Rate (NER); a.k.a. Weighted Average Discount Scenario modeling Program savings and CEO Map Program optimization 3 Fair Market Share (FMS) • A.k.a. QSI, or neutral share, or share of lift • Best estimate of carrier’s market share before pricing and loyalty factors • Very important basis for all modern airline sourcing projects • Drives minimum, maximum and goal share, and the corresponding spend projections • Key variables are connection logic and interline logic 4 Fare Mix, Discounts and NER (Net Effective Rate) Fare mix is key to calculating savings Historic fare mix determines the spend-weighted Net Effective Discount Share of Spend Booked Fare Class Discount Net Eff. Rate 10% 20% J Y 30% 20% 3.0% 4.0% 40% 30% M T 15% 0% 6.0% 0.0% Net Effective Rate = 13.0% 5 Fare Mix Issues Buyers use historic fare mix data Airlines may use non-historic fare mixes when bidding • Buyer’s calculation of Net Effective Rate, and savings, will differ from airline’s No practical way to guarantee inventory availability – or the future fare mix • Standard practice is to use last year’s fare mix • But check with each airline! 6 Spend at Fair Market Share Airline Supplier Map $3.0 MM DL Primary, or Tier 1 AA Secondary, or Tier 2 UA US AC Tertiary, or Tier 3 $0.0 Very Low Ability to Move Share Very High 7 Scenario Modeling is Critical • Basis for modern airline sourcing • Scenarios are “What if” options • Typically involve Tier 1, 2 and 3 airlines • A.k.a. Primary, Secondary and Tertiary • Can have Co-primaries, co-secondaries, etc. • Easy to model alliances • Calculates detailed carrier shares and buyer’s savings for each scenario 8 scenario modeling 9 9 Scenario Examples • DL as Primary, Star as Secondary • DL/AF/KL as Primary, Star as Secondary • DL + AA as Co-Primaries, then Star • Star as Tier 1, then DL + AA as Tier 2 • Avoid DL: Make FL/AA/UA/US as Tier 1 • Modeling tools test 50-250 scenarios 10 Buyers Focus on Scenario Savings Last year’s net program spend - Scenario’s projected net spend = Scenario Savings Weaknesses: • Uses last year’s published fares and last year’s fare mix • ** Understates savings when fares fall 11 Sample Scenario Results (Illustrated) Last year’s Program Net Spend was $3,000K Scenario Scenario Scenario Total Net Savings Spend ($000s) DL’s Net Spend ($000s) 1. DL, then Star 2,950 50 700 2. DL/AF/KL, then Star 3. DL+AA, then UA+AC 4. Star, then DL+AA 5. Avoid DL 2,940 2,930 2,960 2,970 60 70 40 30 600 400 300 200 12 Scenario Implications DL prefers No. 1 Buyer prefers No. 3 SkyTeam prefers No. 2 Scenario Scenario Scenario Total Net Savings Spend ($000s) DL’s Net Spend ($000s) 1. DL, then Star 2,950 50 700 2. DL/AF/KL, then Star 3. DL+AA, then UA+AC 4. Star, then DL+AA 5. Avoid DL 2,940 2,930 2,960 2,970 60 70 40 30 600 400 300 200 13 Hotel Clusters 101 14 How should you group hotels for negotiations? Distance between hotels Artificial boundaries: matters a lot •State borders You want to group hotels •City borders into actionable markets - Small enough to •Zip Codes be create valid competition - Regardless of artificial boundaries NBTA Convention & Exposition | August 8-11, 2010 •“Midtown”, “Downtown” •“Near Airport” 15 Clusters are actionable markets • Clusters are small areas, maybe 1-3 miles in diameter • Clusters are built around your program’s highstay areas • Artificial boundaries (State, City, Zip Code, etc.) are ignored • Clusters include non-preferred and unused hotels • Clusters create actionable markets, much like city pairs 16 Ignore Orphan Hotels! Orphans are low-stay hotels outside cluster boundaries They show up in TMC booking and credit card reports • Ignoring orphans can eliminate 50-70% of booked hotels, 10-20% of Room Nights • In no way weakens negotiations • Significantly streamlines the Hotel RFP process 17 Slide 1 detail (Arial 44) NBTA Convention & Exposition | August 8-11, 2010 Houston, TexasFrom a Hotel Usage Map… 18 Slide 1 detail (Arial 44) NBTA Convention & Exposition | August 8-11, 2010 To Hotel Clusters Houston, Texas 19 Slide 1 detail (Arial 44) NBTA Convention & Exposition | August 8-11, 2010 Houston, Texas Including Unused Hotels 20 Modern Hotel Sourcing NBTA Convention & Exposition | August 8-11, 2010 21 Hotel Sourcing’s Typical Annual Cycle Summer Data Collection NBTA Convention & Exposition | August 8-11, 2010 Fall / Winter RFP Winter >>> Implement & Manage 22 The Missing Step: Sourcing Strategy Summer Data Collection NBTA Convention & Exposition | August 8-11, 2010 Summer Sourcing Strategy Fall / Winter RFP Winter >>> Implement & Manage 23 Strategy Study’s Key Deliverables Estimates the Major Savings Opportunities • Higher compliance to “as is” program • Broader coverage (more preferred hotels) • Less upgrading and/or more rate availability • Better rate negotiations • Realistic tier-down scenarios Which then drives the Bid List • Depends on management’s appetite for savings and change 24 Socialize with Senior Management = 25 Clusters Create Meaningful Insights Which clusters need more Which clusters preferred have hotels? competitive alternatives? Where is there non-compliant spend? Is it a rate problem? Which clusters have lower-tier hotels? By how much do rates differ? 26 Strategy Study Shapes Your Bid List • Compliance savings > existing preferreds • Coverage savings > add more preferreds • Tier-down savings > bid lower-quality hotels NBTA Convention & Exposition | August 8-11, 2010 27 What’s the Total Cost of Stay? Models need: • Prices for room rates - Last Room Avail., Non-LRA - Best Available Rate (or AAA rate) • Ancillary Costs (Internet, breakfast, parking) • Utilization estimates for ancillaries • Volume estimates per property • Quality ratings (3 star, 4 star, etc.) NBTA Convention & Exposition | August 8-11, 2010 28 Some Key Metrics Spend Under Contract Average Discount $2.0 million (80%) x 20% Negotiated Savings $0.4 million Average Booked Rate $143 Average Hotel Quality 3.7 stars Total Hotel Spend $2.5 M -22% YoY -10% YoY -30% YoY 29 Drivers of Average Booked Rate Quality tier of hotel (5 star vs. 4 star) Preferred vs. non-preferred status Room type Negotiating process Room night volume Travel Managers are expected to influence most of these factors Room availability Local market conditions 30 Chain Fitting 31 If you had $1 million in spend in these secondary markets… Tacoma Tampa Toledo Topeka …Which hotel chain gives you the best coverage? Tucson Tulsa NBTA Convention & Exposition | August 8-11, 2010 32 Scenario Option Risk Score Quality Policy Mgmt. Relationship Strategic Value NBTA Convention & Exposition | August 8-11, 2010 Expected Savings Discount or New Price X Projected Spend 33 “Well, let’s look at our historic spend by chain” 34 Evaluate chain-wide deals on Neutral Share – not just Actual Share Share of beds in the selected clusters Strong Candidates! 35 Know which chains best fit your program NBTA Convention & Exposition | August 8-11, 2010 36