This presentation highlights the use of ArcGIS/Business Analysis to target current employees, who currently do not participate in Genentech’s employee transportation program. Once the users were identified, target marketing tactics can be used to convert the employees from nonusers to users.
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Target Marketing in Employee Transportation
1. Analysis of Key Employee
Demographic and Special
Relationships Impacting Commutes
September 14, 2011
Nathan Byerly
2. Overview
• Program background and
drivers
• Service area
• Employee density
• Distance analysis
• Demographic trends
• Route profile
• Proposed decision making
criteria
• Q&A
GIS in Public Transportation 2011| Slide 2 | September 14, 2011
3. Genentech in South San Francisco
• Founded in 1976, Genentech
invented the Biotechnology
industry
• 200 acre campus in South San
Francisco, CA
• 4.5 million square feet of office,
lab and manufacturing space
• Average daily population of
~10,000 employees
• Most employees live in San County Employees
San Mateo County 44.97%
Francisco and San Mateo San Francisco County
Alameda County
30.95%
10.58%
counties Contra Costa County
Santa Clara County
5.91%
5.56%
Solano County 1.72%
Napa County 0.22%
Monterey County 0.08%
GIS in Public Transportation 2011| Slide 3 | September 14, 2011
4. Business Drivers
• Recruitment, Retention, Quality of Life
• Productivity Enabler
• Carbon Footprint
• Parking, Master Plan and Capital Expense
GIS in Public Transportation 2011| Slide 4 | September 14, 2011
5. gRide Today
• 3,200 out of 9,500 employees are active gRide
users/members
• $2-4 per day cash incentive
• $4 per rider per day for drivers
• $120 Transit and Vanpool Subsidy
• 16 GenenBus routes - 30 Motorcoaches - Over
600,000 riders in 2010
• Over 65,000 web page views per month
• B-Cycle BikeShare
• Hertz Connect CarShare
GIS in Public Transportation 2011| Slide 5 | September 14, 2011
6. Service Area
• 30 GenenBuses serving 16
direct and transit shuttle
routes with over 3,000
riders per day
• Direct routes focus on
areas with poor or no public
transportation, high density
neighborhoods in San
Francisco, long, arduous
commutes, and expensive
bridge tolls
GIS in Public Transportation 2011| Slide 6 | September 14, 2011
7. Employee density
• Density focused in San
Francisco and San Mateo
counties
• 75% of employees live within
20 miles of SSF campus
GIS in Public Transportation 2011| Slide 7 | September 14, 2011
8. Overall participation by route
• Routes with high utilization tend to be in San Francisco and the
East Bay
• Non-participants tend to live close to the SSF campus and have
very short commutes
gRide Non gRide
1 Mile 3 Mile 5 Mile 10 Mile 1 Mile 3 Mile 5 Mile 10 Mile
Church & Market 3.76% 25.96% 26.11% 10.08% 74.04% 73.89%
Cupertino 0.00% 4.18% 10.55% 22.91% 21.88% 1.45% 19.09% 36.73% 77.09% 78.12%
Freemont/Union City/Newark 7.44% 17.98% 36.95% 52.46% 55.49% 2.46% 11.82% 26.11% 47.54% 44.51%
Castro Valley / Hayward 9.60% 11.71% 17.80% 42.20% 39.95% 2.68% 18.78% 32.93% 57.80% 60.05%
I-80 6.45% 3.92% 18.87% 28.92% 31.80% 0.00% 11.27% 30.64% 71.08% 68.20%
Los Gatos / Palo Alto 0.85% 4.19% 10.86% 24.55% 26.69% 0.45% 9.05% 24.10% 75.45% 73.31%
Marina Pac Hts 14.63% 27.78% 32.38% 16.35% 72.22% 67.62%
Noe Valley 5.00% 23.02% 21.01% 28.38% 76.98% 78.99%
Orinda / Plesant Hill 0.92% 4.61% 12.73% 28.41% 33.20% 0.74% 4.43% 17.16% 71.59% 66.80%
SOMA 9.37% 33.82% 33.18% 20.80% 66.18% 66.82%
Danville / San Ramon 2.33% 12.83% 25.36% 59.77% 62.09% 1.17% 6.71% 13.12% 40.23% 37.91%
GIS in Public Transportation 2011| Slide 8 | September 14, 2011
9. Commute time distance comparison
• Commute time is similar for County
gRide South San Francisco Participants
Ave. Drive Time Ave. Drive Dist
Monterey County - -
participants and non- Napa County 192.35 63.27
participants Solano County
Contra Costa County
103.57
103.16
47.75
37.87
• Drive distance follows a similar
Alameda County 82.78 31.77
Santa Clara County 75.38 29.28
San Mateo County 46.45 12.25
pattern for participants and San Francisco County 44.18 10.17
Overall Ave. 92.55 33.20
non-participants
Non-gRide South San Francisco Participants
County Employees
County Ave. Drive Time Ave. Drive Dist
San Mateo County 44.97%
Monterey County 212.64 88.61
San Francisco County 30.95% Napa County 116.41 46.56
Alameda County 10.58% Solano County 103.87 48.41
Contra Costa County 5.91% Contra Costa County 100.19 37.46
Santa Clara County 5.56% Alameda County 75.44 28.05
Solano County 1.72% Santa Clara County 72.59 27.80
Napa County 0.22% San Mateo County 47.99 10.62
Monterey County 0.08% San Francisco County 45.06 9.53
Overall Ave. 96.77 37.13
GIS in Public Transportation 2011| Slide 9 | September 14, 2011
10. Tapestry segmentation
• Tapestry segmentation is very similar for both gRide
Tapestry Group
groups Enterprising Professionals
Suburban Splendor
0.70%
1.02%
• Non-riders do not share International
Wealthy Seaboard Suburbs 1.06%
Boomburbs 1.70%
Connoisseurs 1.80%
Marketplace, Pleasant-Ville, or Top Rung Metro Renters 1.90%
Trendsetters 2.43%
• Riders do not share Enterprising Professionals, Pacific Heights
Urban Chic
2.49%
3.34%
Suburban Splendor, or Boomburbs Laptops & Lattes 5.19%
non-gRide
Tapestry Group
International Marketplace 1.37%
Pleasant-Ville 1.70%
Top Rung 2.23%
Metro Renters 2.82%
Wealthy Seaboard Suburbs 3.94%
Connoisseurs 6.00%
Trendsetters 6.02%
Urban Chic 13.30%
Laptops & Lattes 14.26%
Pacific Heights 15.50%
GIS in Public Transportation 2011| Slide 10 | September 14, 2011
11. Tapestry segmentation attributes
Pacific Heights Laptops & Lattes Urban Chic
• Upscale • Major metro areas • Sophisticated
neighborhoods in like SF exclusive lifestyles
Pacific coast cities • Single or with • Married couple
• Primarily married roommate families
couples w/- children • Cosmopolitan and • Well-educated
• College educated hip • Dual income
• Dual income • College educated • Median home value
• Median home value • Median home value $536K
$470K $634K
GIS in Public Transportation 2011| Slide 11 | September 14, 2011
12. Cupertino route analysis
• Drive time average 77 min.
• Average drive distance 31 miles
• Employees on this route tend to be
have more IT related jobs
• Active users tend to be clustered
• Both users and non users share the
same top five tapestry groups
Cupertino nonriders Cupertino gRiders
Tapestry Group Tapestry Group
Enterprising Professionals 9.78% Enterprising Professionals 10.71%
Trendsetters 14.86% Trendsetters 16.43%
Laptops & Lates 15.22% Laptops & Lates 17.86%
Urban Chic 18.48% Urban Chic 17.86%
Connoisseurs 19.20% Connoisseurs 20.00%
GIS in Public Transportation 2011| Slide 12 | September 14, 2011
13. Decision making criteria
• Drive time
• Drive distance
• Special corridor conditions
• Segmentation attributes
• Wild cards
GIS in Public Transportation 2011| Slide 13 | September 14, 2011
14. Q&A
GIS in Public Transportation 2011| Slide 14 | September 14, 2011