Travel Procurement Workshop 2010 Part 2

advertisement
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
Download