managing traveler attrition
DESCRIPTION
Too much travel causes valuable employees to burn out. tClara describes its process for predicting traveler attrition before it happens - and what companies can do to prevent it.TRANSCRIPT
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Travel Data Made Brighter A Gillespie+Diio Venture
Managing Traveler Attrition Using Predictive Analytics
November 2014
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Companies spend about
the same on
travel as they
do on
turnover:
1-3% of revenues Source: “Retention of Key Talent and the Role of Rewards”, Scott, Hay Group, June 2012. tClara analysis
Attrition cost per employee is between
50% and 200% of the
employee’s annual compensation
Travel Data Made Brighter
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Frequent Travel is Correlated with
Higher Turnover
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3% 3%
7%
11%
16%
Low Travel Moderate Travel
Frequent Travel
High Travel Very High Travel
Illustrative Traveler Attrition Rates
Source: tClara studies covering ~3,900 travelers from multiple clients over a multi-year period
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Less Travel
Easier,
Safer,
Healthier Travel
Trip Bonuses
Recognition,
Engagement,
Gamification
Counseling,
Better
Recruiting
Traveler
Retention
Strategies
Tiered Policies Traveler-specific
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Many Travel-specific Retention
Options Are Available
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Start by Getting Highly Actionable
Analytics Within 3 Weeks
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Traveler
Data
tClara’s Trip
Friction®
Analytics
Analyze
Past
Attrition
Predict
Future
Attrition
Trip Friction
Benchmarking
Each current traveler,
rated by risk of travel-
related attrition
Recommendations for
reducing traveler wear
and tear
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Begin Managing Traveler Attrition
Much More Proactively
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0
10
20
30
40
50
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Number of Travelers Who Quit Forecast Actual Goal
Traveler Risk
Score
Risk
Trend
D. Okamoto 10
Z. Pinkston 10
A. Eagan 10
B. Haapala 10
R. Lunn 9
J. Toon 9
R. Rollman 9
K. Maier 8
D. Kephart 8
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Travel Data Made Brighter A Gillespie+Diio Venture
For more information, contact
Scott Gillespie [email protected]