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Web Migration
Strategic Planning
Discussion
March 14, 2002
Web Migration Task Force Team
Liesl Abrahamson: Touchpoints
Blake Mortiz: IT
Dave Nash: Customer Knowledge
Matt Parsons: Marketing
Communications
Jason Puk: E-commerce
Maj Rizvi: E-Commerce
Pat Rooney: Marketing Campaigns
Ben Olson: Momentum
Tom Russell: Marketing Manager
Bob Sieger: Director E-Commerce
Jennifer Stewart: One Boise
Jeff Swiatek: DSM/Chicago
Matt Trainor: Retention and Growth,
Large Market
Larry Engel: Bader-Rutter
Nancy Hamlin: Retention and Growth
Business/Marketing Objectives
• Increase the profitability of BCOP via migration of
customers to the web touchpoint.
Web migration will:
1. Reduce the customer cost to serve
2. Allow for proactive cross/up-sells and
personalized retention opportunities that are not
available via fax and other channels
E-Commerce 2001 vs. 2002
December 2001:
% of e-commerce lines: 39%
December 2001:
% of e-commerce sales: 32.6%
December 2002 :
% of e-commerce lines: 44%
December 2002:
% of e-commerce sales: 39.77%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
%Lines
%Sales
Dec-01
Dec-02
Situation Analysis
Challenges
Site stability/ease of use
Customer experience/high
expectations
Not a “top” priority (Paper,
Peak, One Boise)
Will require battle for reps
attention
No sale incentive
Opportunities
Stabilization enhancements
One Boise tools facilitate
better targeting/analsis of
customer behavior
Customers will benefit from
“full” One Boise experience
Situation Analysis
Assumptions (planning milestones)
IBM Web Sphere – in place since 12/15/01
Keynote – Q2
PIN integration – 2/15/02
Townsend e-mail marketing – 3/02
Web campaigns available – 6/02
“Peak Performance” launch – 7/02
New web design – Q3
ECS Training competed 1/02
December01
January02
February02
March02
May02
April02
June02
July02
August02
September02
October02
November02
December02
SITUATION ANALYSIS
Assumptions (planning milestones)
IBM Web Sphere
PIN integration
Townsend e-mail marketing
Web campaigns available
"Peak Performance" launch
New web design
Keynote
ECS Training Complete
Strategy Development/Opportunities
Customer Segmentation
Target Audiences
Strategy Development
Rationale
Limited resources
Headquarters strategy required (limited field sales
share of mind)
Right tools are in place (Clarify, E.piphany, Revenio)
Require tactics tailored to the customer experience
Strategic Components
The Web Migration strategy has been broken down into the
following strategic migration components focused on the
Large Market Segment:
1. New Accounts/New Business
2. Existing customers with:
2a. Current E-Commerce sales greater than 75%
2b. Current E-Commerce sales between 25% and
75%
3. Existing customers with no E-Commerce sales
Strategic Components Overview
Large Market Customer Segment
Location-level
Accounts
Total
Revenue
(Annualized)(
$MM)
E-Commerce
Revenue
(Annualized)
($MM)
E-Commerce
% of Total
#1 - New Accounts (1) 7,535 256$ 90$ 35%
#2a - E-Commerce Sales greater than 75% 1,787 185$ 163$ 88%
#2b - E-Commerce Sales between 25% & 75% 2,008 637$ 389$ 61%
#3 - No E-Commerce Sales 8,339 408$ -$ 0%
#4 - E-Commerce Sales between 0% & 25% 1,685 547$ 45$ 8%
Total 21,354 2,033$ 687$ 33.79%
(1) Revenue for New Accounts is adjusted revenue - 80% is estimate to be actual "new account revenue"
Strategic Components Overview
The above distribution shows the skew of E-Commerce % of Total Revenue for
Large Market MVC/MGC location-level accounts. (June 2001 - Jan. 2002)
Large Market - E-Commerce % of Total Revenue
0.00%
20.00%
40.00%
60.00%
80.00%
100.00%
120.00%
1
346
691
1036
1381
1726
2071
2416
2761
3106
3451
3796
4141
4486
4831
5176
5521
5866
6211
6556
6901
7246
7591
7936
8281
8626
8971
9316
9661
10006
10351
10696
11041
11386
11731
12076
12421
12766
13111
13456
13801
Location-level Accounts
E-Commerce%ofTotalRevenue
Customer Bucket #2a
(> 75% )
Customer Bucket #2b
(Between 25% & 75% )
Customer Bucket #4
(<25% )
Customer Bucket #3
(0% )
Strategic Components Overview
The above scatter-plot of location-level account data points reveals the total and
e-commerce revenue distribution of Large Market MVCs/MGCs. (June 2001 - Jan. 2002)
$-
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$- $2,000,000 $4,000,000 $6,000,000 $8,000,000 $10,000,000 $12,000,000 $14,000,000 $16,000,000
Location-level Account Total Revenue
Location-levelAccount
E-CommerceRevenue Customer Bucket #2a
(> 75% )
Customer Bucket #2b
(Between 25% & 75% )
Customer Bucket #4
(<25% )
Customer Bucket #3
(0% )
Customer Segmentation Strategy
Strategic Focus
#1. New Accounts/No Web Use
#2. Existing Customers/ Partial Web Use
#3. Existing Customers/ No Web Use
Segment #1 - New Accounts
Strategy: Utilize One Boise data to target new
business in specific locations and SIC codes - AND
provide the field with new training and sales tools to
sell the benefits of online ordering.
Segment #1 – New Accounts
7,535
$320MM (Annualized)
$256MM (Annualized)
$113MM (Annualized)
$90MM (Annualized)
35.39%
Segment Profile (1)
Location-level Accounts
Total Revenue
Adjusted Total Revenue (2)
E-Commerce Revenue
Adjusted E-Commerce (2)
Revenue
E-Commerce % of Total
(1) New Accounts defined as first purchase date between 1/1/01 and 1/25/02
(2) Assumption is 80% of new revenue per E.Piphany is actually “new account revenue”.
EDI: 3.22% PHONE: 17.84% FAX: 31.60% MAIL: 1.44% SREP: 10.35%
Segment #1 – New Accounts
2001
Total E-Commerce Revenue
$90MM
Total E-Commerce Sales %
35.39%
(based upon adjusted annualized 2001
“new account” revenue)
2002
Total E-Commerce Revenue
$102MM
Total E-Commerce Sales %
40.0%
Targets and Goals
Segment #1 – New Accounts
Tactics
Education – Focus on training for the field to allow for confident
and consistent communication of the BCOP.com message to new
accounts/prospects (up-to-date knowledge of new functionality)
Communication – Consistent reporting to the field on site stability
and performance through the use of new monitoring tools
(Keynote)
Sales Tools - Create new tools (sales collateral, CD-Rom Demo) fo
reps to use with new accounts/bid process that emphasize benefits
and ease
Segment #2a – Existing Customers
With E-commerce Sales
Greater Than 75%
Strategy: Develop “best customer” profiles to
apply to other strategic segments from this
customer group - AND - focus marketing
programs on retention and communication of
new functionality.
Segment #2a – Existing Customers With
E-commerce Sales Greater Than 75%
1,787
$185MM (Annualized)
$163MM (Annualized)
88%
Segment Profile
Location-level Accounts
Total Revenue
E-Commerce Revenue
E-Commerce % of Total
EDI: 0.01% PHONE: 5.00% FAX: 4.42% MAIL: 0.06% SREP: 2.39%
Segment #2a – Existing Customers/
E-commerce Sales Greater Than 75%
2001
Total E-Commerce Revenue
$163MM
Total E-Commerce Sales %
88%
2002
Total E-Commerce Revenue
$168MM
Total E-Commerce Sales %
88%
Targets and Goals
Segment #2a – Existing Customers/
E-commerce Sales Greater Than 75%
Tactics
Retention - focus on retention programs leveraging
Revenio, Clarify, Web Campaigns and email
Customer Profiling - develop and analyze
characteristics of this “super user group” to overlay
on new accounts/new business and existing
customers
Segment #2b – Existing Customers
With E-commerce Sales Between
25% and 75%
Strategy: Using “best customer” profile information -
target locations, SIC codes and specific customers to
launch channel migration campaigns - primarily through
new One Boise tools - Revenio, Clarify, and Email.
Segment #2b – Existing Customers With
E-commerce Sales Between 25% and 75%
2,008
$637MM (Annualized)
$389MM (Annualized)
61%
Segment Profile
Location-level Accounts
Total Revenue
E-Commerce Revenue
E-Commerce % of Total
EDI: 0.22% PHONE: 15.07% FAX: 18.76% MAIL: 0.21% SREP:4.57%
Segment #2b – Existing Customers With
E-commerce Sales Between 25% and
75%
2001
Total E-Commerce Revenue
$389MM
Total E-Commerce Sales %
61%
2002
Total E-Commerce Revenue
$476MM
Total E-Commerce Sales %
71%
Targets and Goals
Segment 2b – Existing Customers With
E-Commerce Sales Between 25% and 75%
Tactics
One Boise technology/programs - leverage
Revenio, Clarify, Web Campaigns and email to “pull”
customers onto the web - focus on headquarter
marketing efforts with limited field involvement
All touchpoints - Utilize all touchpoints to drive traffic
to the web - phone, fax, field, web and direct mail
campaigns with focused/exclusive messages
Segment #3 – Existing Customers
With No E-Commerce Sales
Strategy: Use One Boise data and best customer
profile information to develop concise target lists
for the field - AND - use new sales tools to sell the
benefits of online ordering.
Segment #3 – Existing Customers
With NO Web Sales
8,339
$408MM (Annualized)
$0MM (Annualized)
0%
Segment Profile
Location-level Accounts
Total Revenue
E-Commerce Revenue
E-Commerce % of Total
FAX: 50.78% PHONE: 10.12% SREP: 5.23% EDI: 18.49% MAIL: 1.67%
UNKNOWN: 4.36% SEPARATE WIN: 9.35%
Segment #3 – Existing Customers/
No E-
Commerce Sales
2001
Total E-Commerce Revenue
$0M
Total E-Commerce Sales %
0%
2002
Total E-Commerce Revenue
$32MM
Total E-Commerce Sales %
7.8%
Targets and Goals
Segment #3 – Existing Customers/
NO Web Sales
Tactics
Customer/location profiling - use “super user group” profiles to
target specific locations, SIC codes, to establish pilot locations for
migration plan; discover “keys to success” for top selling locations
and share with “under-performing locations”
Tools - develop migration “tool kit” for the pilot locations that will
include a list of priority customers with appropriate data, bcop.com
demo CD, brochure
One Boise -leverage One Boise tools to pull customers online
once set-up
Final Financial Analysis Overview
Financial Analysis Overview
E-Commerce Migration Gap Analysis
FY 2001 Total Domestic Non-Reliable BCOP Revenue (1) 2,505,201,000$
Projected 2002 annual revenue growth rate (1) 3.02%
Projected FY 2002 Total Domestic Non-Reliable BCOP Revenue 2,580,833,018$
Target: % Revenue from E-Commerce (1) 39.77%
Target: FY 2002 E-Commerce Revenue 1,026,397,291$
FY 2001% Revenue from E-Commerce (1) 32.60%
Est. FY 2002 E-Commerce Revenue (@ 32.6%) 841,351,564$
Incremental E-Commerce Revenue Necessary 185,045,727$
(1) Source: Ron Yonker
Based upon the assumption that the web migration strategy goals
are limited to Domestic Non-Reliable business for 2002, the
incremental e-commerce revenue necessary is $185 million.
Financial Sensitivity Analysis –
Base Case – Web Migration Strategy Goals
The above sensitivity analysis represents our web migration segment-level strategy goals to meet
(and slightly exceed) our year-end goal of at least 39.77% of revenue from e-commerce.
Annualized Total
Revenue
Revenue
Growth
E-Commerce
Revenue
Migration %
Incremental
Annual E-
Commerce
Revenue
Customer Bucket #1 (New Accounts)
Large Market 256,000,000$ 40.00% $102,400,000
Customer Bucket #2a (More than 75% Online Sales)
MVCs - Annualized Total Revenue $76,075,876 0.00% 0.00% $0
MGCs - Annualized Total Revenue $109,052,292 5.00% 0.00% $5,452,615
$185,128,169 $5,452,615
Customer Bucket #2b (Between 25% and 75% Online Sales)
MVCs - Annualized Total Revenue $210,147,392 0.00% 5.00% $10,507,370
MGCs - Annualized Total Revenue $426,651,871 5.00% 5.00% $43,731,817
$636,799,263 $54,239,186
Customer Bucket #3 (No Online Sales)
MVCs - Annualized Total Revenue $187,731,557 0.00% 5.00% $9,386,578
MGCs - Annualized Total Revenue $220,818,040 5.00% 5.00% $22,633,849
$408,549,597 $32,020,427
Customer Bucket #4 (Less than 25% Online Sales)
MVCs - Annualized Total Revenue $209,177,173 0.00% 1.00% $2,091,772
MGCs - Annualized Total Revenue $337,619,406 5.00% 1.00% $20,425,974
$546,796,579 $22,517,746
Total Large Market 2,033,273,608$ $216,629,974
2002 E-Commerce Revenue Over (Under) Target $31,584,246
2002 E-Commerce Revenue % of Total 40.99%
Financial Sensitivity Analysis –
Scenario #2 – Increased Bucket #2b Migration
The above sensitivity analysis shows the effect of increasing the e-commerce
migration percentage of Customer Bucket #2b to 10.00% from 5.00%.
Annualized Total
Revenue
Revenue
Growth
E-Commerce
Revenue
Migration %
Incremental
Annual E-
Commerce
Revenue
Customer Bucket #1 (New Accounts)
Large Market 256,000,000$ 40.00% $102,400,000
Customer Bucket #2a (More than 75% Online Sales)
MVCs - Annualized Total Revenue $76,075,876 0.00% 0.00% $0
MGCs - Annualized Total Revenue $109,052,292 5.00% 0.00% $5,452,615
$185,128,169 $5,452,615
Customer Bucket #2b (Between 25% and 75% Online Sales)
MVCs - Annualized Total Revenue $210,147,392 0.00% 10.00% $21,014,739
MGCs - Annualized Total Revenue $426,651,871 5.00% 10.00% $66,131,040
$636,799,263 $87,145,779
Customer Bucket #3 (No Online Sales)
MVCs - Annualized Total Revenue $187,731,557 0.00% 5.00% $9,386,578
MGCs - Annualized Total Revenue $220,818,040 5.00% 5.00% $22,633,849
$408,549,597 $32,020,427
Customer Bucket #4 (Less than 25% Online Sales)
MVCs - Annualized Total Revenue $209,177,173 0.00% 1.00% $2,091,772
MGCs - Annualized Total Revenue $337,619,406 5.00% 1.00% $20,425,974
$546,796,579 $22,517,746
Total Large Market 2,033,273,608$ $249,536,567
2002 E-Commerce Revenue Over (Under) Target $64,490,839
2002 E-Commerce Revenue % of Total 42.27%
Financial Sensitivity Analysis –
Scenario #3 – Increased New Accounts Migration
The above sensitivity analysis shows the effect of new accounts
e-commerce usage being 45% (40% is the base case strategy).
Annualized Total
Revenue
Revenue
Growth
E-Commerce
Revenue
Migration %
Incremental
Annual E-
Commerce
Revenue
Customer Bucket #1 (New Accounts)
Large Market 256,000,000$ 45.00% $115,200,000
Customer Bucket #2a (More than 75% Online Sales)
MVCs - Annualized Total Revenue $76,075,876 0.00% 0.00% $0
MGCs - Annualized Total Revenue $109,052,292 5.00% 0.00% $5,452,615
$185,128,169 $5,452,615
Customer Bucket #2b (Between 25% and 75% Online Sales)
MVCs - Annualized Total Revenue $210,147,392 0.00% 5.00% $10,507,370
MGCs - Annualized Total Revenue $426,651,871 5.00% 5.00% $43,731,817
$636,799,263 $54,239,186
Customer Bucket #3 (No Online Sales)
MVCs - Annualized Total Revenue $187,731,557 0.00% 5.00% $9,386,578
MGCs - Annualized Total Revenue $220,818,040 5.00% 5.00% $22,633,849
$408,549,597 $32,020,427
Customer Bucket #4 (Less than 25% Online Sales)
MVCs - Annualized Total Revenue $209,177,173 0.00% 1.00% $2,091,772
MGCs - Annualized Total Revenue $337,619,406 5.00% 1.00% $20,425,974
$546,796,579 $22,517,746
Total Large Market 2,033,273,608$ $229,429,974
2002 E-Commerce Revenue Over (Under) Target $44,384,246
2002 E-Commerce Revenue % of Total 41.49%
Rank
Account
Number
First
Purchase
Date Location Account Name Total Revenue
Total E-
Commerce
E-Commerce
% of Total
1 0274736 1996-06-01 16 E I DUPONT DE NEMOURS & CO 2,624,995$ 2,608,654$ 99.38%
2 0277160 1999-01-01 27 DUKE ENERGY CORPORATION 2,196,742$ 1,688,282$ 76.85%
3 0220805 1995-04-01 21 PSE&G 2,189,660$ 1,810,461$ 82.68%
4 0721336 1995-01-01 5 HALLIBURTON ENERGY SERVICE 1,708,062$ 1,511,998$ 88.52%
5 0254833 2000-03-01 86 SIEMENS INFORMATION & 1,707,338$ 1,628,210$ 95.37%
6 0208736 1995-01-01 22 LIFESPAN 1,642,196$ 1,386,840$ 84.45%
7 0340485 2000-05-01 1 BAXTER HEALTHCARE 1,467,797$ 1,421,979$ 96.88%
8 0345256 1996-08-01 25 ESCOUT.COM 1,453,114$ 1,407,052$ 96.83%
9 0427707 2000-06-01 40 ALCOA INCORPATION/ ARIBA 1,433,625$ 1,430,772$ 99.80%
10 0269654 1995-01-01 16 THE VANGUARD GROUP 1,069,397$ 1,056,714$ 98.81%
11 0240141 1995-01-01 24 UNIVERSITY OF MARYLAND 998,613$ 963,800$ 96.51%
12 0945412 1995-03-01 22 AMICA MUTUAL INSURANCE 994,370$ 758,749$ 76.30%
13 0265338 1996-08-01 24 XO COMMUNICATIONS 945,754$ 833,967$ 88.18%
14 0336312 1999-04-01 21 MCKINSEY & COMPANY INC 906,275$ 812,665$ 89.67%
15 0222620 1995-01-01 32 WELLSTAR HEALTH SYSTEM 896,927$ 842,627$ 93.95%
16 0230497 1995-01-01 4 AMERICREDIT CORP 880,913$ 856,219$ 97.20%
17 0411423 1998-06-01 24 KPMG LLP 839,833$ 729,849$ 86.90%
18 0600385 1995-01-01 22 PROVIDENCE SCHOOL DEPT 790,600$ 606,283$ 76.69%
19 0275112 1995-08-01 33 VALUE OPTIONS 774,938$ 654,844$ 84.50%
20 0404554 1998-06-01 85 KPMG LLP 764,411$ 626,024$ 81.90%
21 0330246 1999-04-01 28 SIEMENS-WESTINGHOUSE 752,935$ 666,257$ 88.49%
22 0248837 2000-05-01 32 ARTHUR ANDERSEN 735,279$ 576,384$ 78.39%
23 0878391 1995-01-01 24 MONTGOMERY COLLEGE 683,298$ 533,535$ 78.08%
24 0721646 1995-01-01 22 SIMPLEXGRINNELL LP 683,266$ 618,401$ 90.51%
25 0296384 1995-01-01 70 ADVANCEPCS 655,825$ 547,863$ 83.54%
26 0239191 1996-03-01 35 CONVERGYS CMG 641,675$ 503,389$ 78.45%
27 0411377 1998-06-01 25 KPMG LLP 636,110$ 519,524$ 81.67%
28 0476099 1995-01-01 24 CACI INC 626,000$ 489,956$ 78.27%
29 0627887 1995-01-01 85 NORTHROP CORPORATION 604,395$ 493,331$ 81.62%
30 0255809 1996-07-01 5 DUKE ENERGY CORPORATION 602,896$ 529,771$ 87.87%
The goal with these customers is primarily
to retain them (and their e-commerce business).
#2a – E-Commerce Sales over 75%
Top Most Valuable E-Commerce Customers
Rank
Account
Number
First
Purchase
Date Location Account Name
Total
Revenue
Total E-
Commerce
E-Commerce
% of Total
E-Commerce
Revenue Gap
1 0221104 1995-01-01 64 STATE OF INDIANA 3,632,542$ 918,538$ 25.29% 2,714,004$
2 0261823 1996-12-01 21 AT&T/SUPPLIER MANAGEMENT 3,565,982$ 1,300,236$ 36.46% 2,265,746$
3 0203448 1996-12-01 17 PHARMACIA 3,918,121$ 1,774,960$ 45.30% 2,143,161$
4 0525499 1995-01-01 87 AT&T WIRELESS SERVICES 3,978,617$ 2,055,344$ 51.66% 1,923,273$
5 0319610 1997-05-01 21 LEHMAN BROTHERS INC. 2,963,077$ 1,150,133$ 38.82% 1,812,945$
6 0346225 1997-02-01 22 MARSH USA 2,688,565$ 888,951$ 33.06% 1,799,614$
7 0505951 1995-01-01 24 CENDANT CORPORATION 2,419,689$ 681,664$ 28.17% 1,738,025$
8 0557447 1995-01-01 17 MASCO 2,758,827$ 1,106,303$ 40.10% 1,652,524$
9 0486728 1995-01-01 70 STATE OF ARIZ CONTRACT [R] 1,491,029$ 374,876$ 25.14% 1,116,154$
10 0222371 1995-09-01 87 SAFECO INSURANCE COMPANIES 1,697,080$ 621,094$ 36.60% 1,075,986$
11 0397955 1998-09-01 29 LEXIS-NEXIS 1,469,423$ 400,998$ 27.29% 1,068,425$
12 0339164 1995-01-01 1 KEMPER INSURANCE COMPANIES 2,076,211$ 1,022,568$ 49.25% 1,053,643$
13 0222210 1996-10-01 35 OMNICARE 1,634,268$ 605,654$ 37.06% 1,028,614$
14 0323373 1996-09-01 86 CHARLES SCHWAB & CO 2,016,403$ 1,015,296$ 50.35% 1,001,107$
15 0226064 1996-02-01 31 CH2M HILL CORP 1,501,472$ 512,653$ 34.14% 988,819$
16 0342177 1998-12-01 24 NEXTEL COMMUNICATIONS, INC 1,538,057$ 634,950$ 41.28% 903,107$
17 0375196 1997-09-01 31 AT&T BROADBAND 1,806,931$ 920,827$ 50.96% 886,104$
18 0253010 1996-05-01 24 INT'L MONETARY FUND 1,443,365$ 558,916$ 38.72% 884,450$
19 0248879 1997-06-01 21 BASF CORPORATION 1,315,446$ 431,681$ 32.82% 883,766$
20 0378704 1995-01-01 1 GRAINGER CO-NILES 1,716,869$ 841,707$ 49.03% 875,161$
21 0758051 1995-01-01 89 ZIONS FIRST NATIONAL BANK* 1,585,747$ 713,033$ 44.97% 872,714$
22 0292029 1999-09-01 25 H & R BLOCK 1,684,264$ 817,682$ 48.55% 866,582$
23 0230301 1996-06-01 35 LEXMARK INTERNATIONAL INC 1,186,913$ 323,428$ 27.25% 863,485$
24 0402613 1995-01-01 86 PROVIDIAN FINANCIAL CORP. 1,499,598$ 640,527$ 42.71% 859,071$
25 0209385 1995-09-01 37 PARKER HANNIFIN 1,392,918$ 604,286$ 43.38% 788,632$
26 0328778 1998-10-01 21 LUCENT TECHNOLOGIES 1,678,939$ 907,374$ 54.04% 771,565$
27 0877913 1995-01-01 24 GEORGETOWN UNIVERSITY 1,067,104$ 318,895$ 29.88% 748,209$
28 0218634 1995-01-01 88 PROVIDENCE MEDICAL CENTER# 1,232,055$ 512,311$ 41.58% 719,744$
29 0593443 1995-01-01 33 CAPITAL ONE SERVICES, INC. 1,764,030$ 1,052,894$ 59.69% 711,137$
30 0218181 1995-01-01 37 CENTURY BUSINESS SERVICES 946,780$ 257,414$ 27.19% 689,366$
#2b – E-Commerce Sales between 25% & 75%
Top Most Grow-able E-Commerce
Customers
These customers present some of the greatest opportunities for E-Commerce
migration – as they are already set-up and have significant on-line purchases.
#3 – No Web Sales
Most Grow-able E-Commerce Customers
Rank
Account
Number Account Name
First
Purchase
Date Location Total Revenue
Total E-
Commerce
E-Commerce %
of Total
1 0275926 WALGREENS 1996-10-01 1 7,184,102$ -$ 0.00%
2 0444890 METLIFE/CLARUS 1999-09-01 21 6,501,708$ -$ 0.00%
3 0202671 ALLSTATE INSURANCE 1995-11-01 1 5,989,547$ -$ 0.00%
4 0213264 HUMANA INC 1996-07-01 35 4,734,259$ -$ 0.00%
5 0398372 RAYTHEON SYSTEMS COMPANY 1999-02-01 85 4,113,509$ -$ 0.00%
6 0203000 BNSF/BURLINGTON NORTHERN 1997-03-01 4 3,094,373$ -$ 0.00%
7 0218781 SAIC 1999-07-01 85 3,025,635$ -$ 0.00%
8 0389932 UNUMPROVIDENT 1999-10-01 32 2,457,114$ -$ 0.00%
9 0207456 WYETH-AYERST 1995-05-01 16 2,261,112$ -$ 0.00%
10 0388768 ONDEO NALCO COMPANY 1998-02-01 1 2,248,723$ -$ 0.00%
11 0407570 WAL-MART STORES, INC. 1999-09-01 74 1,885,423$ -$ 0.00%
12 0380515 BENEFICIAL 1998-07-01 1 1,879,763$ -$ 0.00%
13 0271547 LOS ALAMOS JIT STOCKLESS 1996-06-01 46 1,838,765$ -$ 0.00%
14 0387568 UNION PACIFIC RAILROAD CO 1995-01-01 25 1,740,960$ -$ 0.00%
15 0215303 CISCO SYSTEMS INC. 1995-01-01 86 1,740,670$ -$ 0.00%
16 0377016 CIBC WORLD MARKETS 1998-04-01 21 1,728,315$ -$ 0.00%
17 0365255 UAW-FORD TSP 1997-05-01 17 1,610,330$ -$ 0.00%
18 0385573 KYO-YA 1995-01-01 81 1,589,037$ -$ 0.00%
19 0222634 COUNTRYWIDE AGENCY INC 1997-04-01 85 1,575,073$ -$ 0.00%
20 0505528 AZ ST DEPT ECON SEC. [R] 1995-01-01 70 1,451,725$ -$ 0.00%
21 0293702 MICROSOFT CORPORATION 1996-05-01 87 1,372,105$ -$ 0.00%
22 0243991 CLARIAN HEALTH PARTNERS 1995-01-01 64 1,349,570$ -$ 0.00%
23 0242826 LAWRENCE LIVERMORE LABS 1995-07-01 86 1,312,792$ -$ 0.00%
24 0220744 THE HARTFORD 1995-01-01 26 1,142,803$ -$ 0.00%
25 0443988 JOHN HANCOCK MUTUAL LIFE 1998-12-01 22 1,031,053$ -$ 0.00%
26 0273397 UNITED AIRLINES 1997-10-01 1 1,030,209$ -$ 0.00%
27 0447857 METLIFE AUTO & HOME/CLARUS 1999-11-01 21 993,938$ -$ 0.00%
28 0250565 HOUSEHOLD FINANCE 1996-03-01 1 989,369$ -$ 0.00%
29 0660841 STATE FARM MUTUAL 1995-01-01 1 981,488$ -$ 0.00%
30 0315569 GEISINGER HEALTH SYSTEMS 1998-03-01 16 972,887$ -$ 0.00%
Some of the biggest Customer Bucket #3: No E-Commerce Sales
migration opportunities are right here in the
Chicagoland area.

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WebMigrationPlanSeniorStaff

  • 2. Web Migration Task Force Team Liesl Abrahamson: Touchpoints Blake Mortiz: IT Dave Nash: Customer Knowledge Matt Parsons: Marketing Communications Jason Puk: E-commerce Maj Rizvi: E-Commerce Pat Rooney: Marketing Campaigns Ben Olson: Momentum Tom Russell: Marketing Manager Bob Sieger: Director E-Commerce Jennifer Stewart: One Boise Jeff Swiatek: DSM/Chicago Matt Trainor: Retention and Growth, Large Market Larry Engel: Bader-Rutter Nancy Hamlin: Retention and Growth
  • 3. Business/Marketing Objectives • Increase the profitability of BCOP via migration of customers to the web touchpoint. Web migration will: 1. Reduce the customer cost to serve 2. Allow for proactive cross/up-sells and personalized retention opportunities that are not available via fax and other channels
  • 4. E-Commerce 2001 vs. 2002 December 2001: % of e-commerce lines: 39% December 2001: % of e-commerce sales: 32.6% December 2002 : % of e-commerce lines: 44% December 2002: % of e-commerce sales: 39.77% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% %Lines %Sales Dec-01 Dec-02
  • 5. Situation Analysis Challenges Site stability/ease of use Customer experience/high expectations Not a “top” priority (Paper, Peak, One Boise) Will require battle for reps attention No sale incentive Opportunities Stabilization enhancements One Boise tools facilitate better targeting/analsis of customer behavior Customers will benefit from “full” One Boise experience
  • 6. Situation Analysis Assumptions (planning milestones) IBM Web Sphere – in place since 12/15/01 Keynote – Q2 PIN integration – 2/15/02 Townsend e-mail marketing – 3/02 Web campaigns available – 6/02 “Peak Performance” launch – 7/02 New web design – Q3 ECS Training competed 1/02
  • 7. December01 January02 February02 March02 May02 April02 June02 July02 August02 September02 October02 November02 December02 SITUATION ANALYSIS Assumptions (planning milestones) IBM Web Sphere PIN integration Townsend e-mail marketing Web campaigns available "Peak Performance" launch New web design Keynote ECS Training Complete
  • 9. Strategy Development Rationale Limited resources Headquarters strategy required (limited field sales share of mind) Right tools are in place (Clarify, E.piphany, Revenio) Require tactics tailored to the customer experience
  • 10. Strategic Components The Web Migration strategy has been broken down into the following strategic migration components focused on the Large Market Segment: 1. New Accounts/New Business 2. Existing customers with: 2a. Current E-Commerce sales greater than 75% 2b. Current E-Commerce sales between 25% and 75% 3. Existing customers with no E-Commerce sales
  • 11. Strategic Components Overview Large Market Customer Segment Location-level Accounts Total Revenue (Annualized)( $MM) E-Commerce Revenue (Annualized) ($MM) E-Commerce % of Total #1 - New Accounts (1) 7,535 256$ 90$ 35% #2a - E-Commerce Sales greater than 75% 1,787 185$ 163$ 88% #2b - E-Commerce Sales between 25% & 75% 2,008 637$ 389$ 61% #3 - No E-Commerce Sales 8,339 408$ -$ 0% #4 - E-Commerce Sales between 0% & 25% 1,685 547$ 45$ 8% Total 21,354 2,033$ 687$ 33.79% (1) Revenue for New Accounts is adjusted revenue - 80% is estimate to be actual "new account revenue"
  • 12. Strategic Components Overview The above distribution shows the skew of E-Commerce % of Total Revenue for Large Market MVC/MGC location-level accounts. (June 2001 - Jan. 2002) Large Market - E-Commerce % of Total Revenue 0.00% 20.00% 40.00% 60.00% 80.00% 100.00% 120.00% 1 346 691 1036 1381 1726 2071 2416 2761 3106 3451 3796 4141 4486 4831 5176 5521 5866 6211 6556 6901 7246 7591 7936 8281 8626 8971 9316 9661 10006 10351 10696 11041 11386 11731 12076 12421 12766 13111 13456 13801 Location-level Accounts E-Commerce%ofTotalRevenue Customer Bucket #2a (> 75% ) Customer Bucket #2b (Between 25% & 75% ) Customer Bucket #4 (<25% ) Customer Bucket #3 (0% )
  • 13. Strategic Components Overview The above scatter-plot of location-level account data points reveals the total and e-commerce revenue distribution of Large Market MVCs/MGCs. (June 2001 - Jan. 2002) $- $500,000 $1,000,000 $1,500,000 $2,000,000 $2,500,000 $3,000,000 $- $2,000,000 $4,000,000 $6,000,000 $8,000,000 $10,000,000 $12,000,000 $14,000,000 $16,000,000 Location-level Account Total Revenue Location-levelAccount E-CommerceRevenue Customer Bucket #2a (> 75% ) Customer Bucket #2b (Between 25% & 75% ) Customer Bucket #4 (<25% ) Customer Bucket #3 (0% )
  • 14. Customer Segmentation Strategy Strategic Focus #1. New Accounts/No Web Use #2. Existing Customers/ Partial Web Use #3. Existing Customers/ No Web Use
  • 15. Segment #1 - New Accounts Strategy: Utilize One Boise data to target new business in specific locations and SIC codes - AND provide the field with new training and sales tools to sell the benefits of online ordering.
  • 16. Segment #1 – New Accounts 7,535 $320MM (Annualized) $256MM (Annualized) $113MM (Annualized) $90MM (Annualized) 35.39% Segment Profile (1) Location-level Accounts Total Revenue Adjusted Total Revenue (2) E-Commerce Revenue Adjusted E-Commerce (2) Revenue E-Commerce % of Total (1) New Accounts defined as first purchase date between 1/1/01 and 1/25/02 (2) Assumption is 80% of new revenue per E.Piphany is actually “new account revenue”. EDI: 3.22% PHONE: 17.84% FAX: 31.60% MAIL: 1.44% SREP: 10.35%
  • 17. Segment #1 – New Accounts 2001 Total E-Commerce Revenue $90MM Total E-Commerce Sales % 35.39% (based upon adjusted annualized 2001 “new account” revenue) 2002 Total E-Commerce Revenue $102MM Total E-Commerce Sales % 40.0% Targets and Goals
  • 18. Segment #1 – New Accounts Tactics Education – Focus on training for the field to allow for confident and consistent communication of the BCOP.com message to new accounts/prospects (up-to-date knowledge of new functionality) Communication – Consistent reporting to the field on site stability and performance through the use of new monitoring tools (Keynote) Sales Tools - Create new tools (sales collateral, CD-Rom Demo) fo reps to use with new accounts/bid process that emphasize benefits and ease
  • 19. Segment #2a – Existing Customers With E-commerce Sales Greater Than 75% Strategy: Develop “best customer” profiles to apply to other strategic segments from this customer group - AND - focus marketing programs on retention and communication of new functionality.
  • 20. Segment #2a – Existing Customers With E-commerce Sales Greater Than 75% 1,787 $185MM (Annualized) $163MM (Annualized) 88% Segment Profile Location-level Accounts Total Revenue E-Commerce Revenue E-Commerce % of Total EDI: 0.01% PHONE: 5.00% FAX: 4.42% MAIL: 0.06% SREP: 2.39%
  • 21. Segment #2a – Existing Customers/ E-commerce Sales Greater Than 75% 2001 Total E-Commerce Revenue $163MM Total E-Commerce Sales % 88% 2002 Total E-Commerce Revenue $168MM Total E-Commerce Sales % 88% Targets and Goals
  • 22. Segment #2a – Existing Customers/ E-commerce Sales Greater Than 75% Tactics Retention - focus on retention programs leveraging Revenio, Clarify, Web Campaigns and email Customer Profiling - develop and analyze characteristics of this “super user group” to overlay on new accounts/new business and existing customers
  • 23. Segment #2b – Existing Customers With E-commerce Sales Between 25% and 75% Strategy: Using “best customer” profile information - target locations, SIC codes and specific customers to launch channel migration campaigns - primarily through new One Boise tools - Revenio, Clarify, and Email.
  • 24. Segment #2b – Existing Customers With E-commerce Sales Between 25% and 75% 2,008 $637MM (Annualized) $389MM (Annualized) 61% Segment Profile Location-level Accounts Total Revenue E-Commerce Revenue E-Commerce % of Total EDI: 0.22% PHONE: 15.07% FAX: 18.76% MAIL: 0.21% SREP:4.57%
  • 25. Segment #2b – Existing Customers With E-commerce Sales Between 25% and 75% 2001 Total E-Commerce Revenue $389MM Total E-Commerce Sales % 61% 2002 Total E-Commerce Revenue $476MM Total E-Commerce Sales % 71% Targets and Goals
  • 26. Segment 2b – Existing Customers With E-Commerce Sales Between 25% and 75% Tactics One Boise technology/programs - leverage Revenio, Clarify, Web Campaigns and email to “pull” customers onto the web - focus on headquarter marketing efforts with limited field involvement All touchpoints - Utilize all touchpoints to drive traffic to the web - phone, fax, field, web and direct mail campaigns with focused/exclusive messages
  • 27. Segment #3 – Existing Customers With No E-Commerce Sales Strategy: Use One Boise data and best customer profile information to develop concise target lists for the field - AND - use new sales tools to sell the benefits of online ordering.
  • 28. Segment #3 – Existing Customers With NO Web Sales 8,339 $408MM (Annualized) $0MM (Annualized) 0% Segment Profile Location-level Accounts Total Revenue E-Commerce Revenue E-Commerce % of Total FAX: 50.78% PHONE: 10.12% SREP: 5.23% EDI: 18.49% MAIL: 1.67% UNKNOWN: 4.36% SEPARATE WIN: 9.35%
  • 29. Segment #3 – Existing Customers/ No E- Commerce Sales 2001 Total E-Commerce Revenue $0M Total E-Commerce Sales % 0% 2002 Total E-Commerce Revenue $32MM Total E-Commerce Sales % 7.8% Targets and Goals
  • 30. Segment #3 – Existing Customers/ NO Web Sales Tactics Customer/location profiling - use “super user group” profiles to target specific locations, SIC codes, to establish pilot locations for migration plan; discover “keys to success” for top selling locations and share with “under-performing locations” Tools - develop migration “tool kit” for the pilot locations that will include a list of priority customers with appropriate data, bcop.com demo CD, brochure One Boise -leverage One Boise tools to pull customers online once set-up
  • 32. Financial Analysis Overview E-Commerce Migration Gap Analysis FY 2001 Total Domestic Non-Reliable BCOP Revenue (1) 2,505,201,000$ Projected 2002 annual revenue growth rate (1) 3.02% Projected FY 2002 Total Domestic Non-Reliable BCOP Revenue 2,580,833,018$ Target: % Revenue from E-Commerce (1) 39.77% Target: FY 2002 E-Commerce Revenue 1,026,397,291$ FY 2001% Revenue from E-Commerce (1) 32.60% Est. FY 2002 E-Commerce Revenue (@ 32.6%) 841,351,564$ Incremental E-Commerce Revenue Necessary 185,045,727$ (1) Source: Ron Yonker Based upon the assumption that the web migration strategy goals are limited to Domestic Non-Reliable business for 2002, the incremental e-commerce revenue necessary is $185 million.
  • 33. Financial Sensitivity Analysis – Base Case – Web Migration Strategy Goals The above sensitivity analysis represents our web migration segment-level strategy goals to meet (and slightly exceed) our year-end goal of at least 39.77% of revenue from e-commerce. Annualized Total Revenue Revenue Growth E-Commerce Revenue Migration % Incremental Annual E- Commerce Revenue Customer Bucket #1 (New Accounts) Large Market 256,000,000$ 40.00% $102,400,000 Customer Bucket #2a (More than 75% Online Sales) MVCs - Annualized Total Revenue $76,075,876 0.00% 0.00% $0 MGCs - Annualized Total Revenue $109,052,292 5.00% 0.00% $5,452,615 $185,128,169 $5,452,615 Customer Bucket #2b (Between 25% and 75% Online Sales) MVCs - Annualized Total Revenue $210,147,392 0.00% 5.00% $10,507,370 MGCs - Annualized Total Revenue $426,651,871 5.00% 5.00% $43,731,817 $636,799,263 $54,239,186 Customer Bucket #3 (No Online Sales) MVCs - Annualized Total Revenue $187,731,557 0.00% 5.00% $9,386,578 MGCs - Annualized Total Revenue $220,818,040 5.00% 5.00% $22,633,849 $408,549,597 $32,020,427 Customer Bucket #4 (Less than 25% Online Sales) MVCs - Annualized Total Revenue $209,177,173 0.00% 1.00% $2,091,772 MGCs - Annualized Total Revenue $337,619,406 5.00% 1.00% $20,425,974 $546,796,579 $22,517,746 Total Large Market 2,033,273,608$ $216,629,974 2002 E-Commerce Revenue Over (Under) Target $31,584,246 2002 E-Commerce Revenue % of Total 40.99%
  • 34. Financial Sensitivity Analysis – Scenario #2 – Increased Bucket #2b Migration The above sensitivity analysis shows the effect of increasing the e-commerce migration percentage of Customer Bucket #2b to 10.00% from 5.00%. Annualized Total Revenue Revenue Growth E-Commerce Revenue Migration % Incremental Annual E- Commerce Revenue Customer Bucket #1 (New Accounts) Large Market 256,000,000$ 40.00% $102,400,000 Customer Bucket #2a (More than 75% Online Sales) MVCs - Annualized Total Revenue $76,075,876 0.00% 0.00% $0 MGCs - Annualized Total Revenue $109,052,292 5.00% 0.00% $5,452,615 $185,128,169 $5,452,615 Customer Bucket #2b (Between 25% and 75% Online Sales) MVCs - Annualized Total Revenue $210,147,392 0.00% 10.00% $21,014,739 MGCs - Annualized Total Revenue $426,651,871 5.00% 10.00% $66,131,040 $636,799,263 $87,145,779 Customer Bucket #3 (No Online Sales) MVCs - Annualized Total Revenue $187,731,557 0.00% 5.00% $9,386,578 MGCs - Annualized Total Revenue $220,818,040 5.00% 5.00% $22,633,849 $408,549,597 $32,020,427 Customer Bucket #4 (Less than 25% Online Sales) MVCs - Annualized Total Revenue $209,177,173 0.00% 1.00% $2,091,772 MGCs - Annualized Total Revenue $337,619,406 5.00% 1.00% $20,425,974 $546,796,579 $22,517,746 Total Large Market 2,033,273,608$ $249,536,567 2002 E-Commerce Revenue Over (Under) Target $64,490,839 2002 E-Commerce Revenue % of Total 42.27%
  • 35. Financial Sensitivity Analysis – Scenario #3 – Increased New Accounts Migration The above sensitivity analysis shows the effect of new accounts e-commerce usage being 45% (40% is the base case strategy). Annualized Total Revenue Revenue Growth E-Commerce Revenue Migration % Incremental Annual E- Commerce Revenue Customer Bucket #1 (New Accounts) Large Market 256,000,000$ 45.00% $115,200,000 Customer Bucket #2a (More than 75% Online Sales) MVCs - Annualized Total Revenue $76,075,876 0.00% 0.00% $0 MGCs - Annualized Total Revenue $109,052,292 5.00% 0.00% $5,452,615 $185,128,169 $5,452,615 Customer Bucket #2b (Between 25% and 75% Online Sales) MVCs - Annualized Total Revenue $210,147,392 0.00% 5.00% $10,507,370 MGCs - Annualized Total Revenue $426,651,871 5.00% 5.00% $43,731,817 $636,799,263 $54,239,186 Customer Bucket #3 (No Online Sales) MVCs - Annualized Total Revenue $187,731,557 0.00% 5.00% $9,386,578 MGCs - Annualized Total Revenue $220,818,040 5.00% 5.00% $22,633,849 $408,549,597 $32,020,427 Customer Bucket #4 (Less than 25% Online Sales) MVCs - Annualized Total Revenue $209,177,173 0.00% 1.00% $2,091,772 MGCs - Annualized Total Revenue $337,619,406 5.00% 1.00% $20,425,974 $546,796,579 $22,517,746 Total Large Market 2,033,273,608$ $229,429,974 2002 E-Commerce Revenue Over (Under) Target $44,384,246 2002 E-Commerce Revenue % of Total 41.49%
  • 36. Rank Account Number First Purchase Date Location Account Name Total Revenue Total E- Commerce E-Commerce % of Total 1 0274736 1996-06-01 16 E I DUPONT DE NEMOURS & CO 2,624,995$ 2,608,654$ 99.38% 2 0277160 1999-01-01 27 DUKE ENERGY CORPORATION 2,196,742$ 1,688,282$ 76.85% 3 0220805 1995-04-01 21 PSE&G 2,189,660$ 1,810,461$ 82.68% 4 0721336 1995-01-01 5 HALLIBURTON ENERGY SERVICE 1,708,062$ 1,511,998$ 88.52% 5 0254833 2000-03-01 86 SIEMENS INFORMATION & 1,707,338$ 1,628,210$ 95.37% 6 0208736 1995-01-01 22 LIFESPAN 1,642,196$ 1,386,840$ 84.45% 7 0340485 2000-05-01 1 BAXTER HEALTHCARE 1,467,797$ 1,421,979$ 96.88% 8 0345256 1996-08-01 25 ESCOUT.COM 1,453,114$ 1,407,052$ 96.83% 9 0427707 2000-06-01 40 ALCOA INCORPATION/ ARIBA 1,433,625$ 1,430,772$ 99.80% 10 0269654 1995-01-01 16 THE VANGUARD GROUP 1,069,397$ 1,056,714$ 98.81% 11 0240141 1995-01-01 24 UNIVERSITY OF MARYLAND 998,613$ 963,800$ 96.51% 12 0945412 1995-03-01 22 AMICA MUTUAL INSURANCE 994,370$ 758,749$ 76.30% 13 0265338 1996-08-01 24 XO COMMUNICATIONS 945,754$ 833,967$ 88.18% 14 0336312 1999-04-01 21 MCKINSEY & COMPANY INC 906,275$ 812,665$ 89.67% 15 0222620 1995-01-01 32 WELLSTAR HEALTH SYSTEM 896,927$ 842,627$ 93.95% 16 0230497 1995-01-01 4 AMERICREDIT CORP 880,913$ 856,219$ 97.20% 17 0411423 1998-06-01 24 KPMG LLP 839,833$ 729,849$ 86.90% 18 0600385 1995-01-01 22 PROVIDENCE SCHOOL DEPT 790,600$ 606,283$ 76.69% 19 0275112 1995-08-01 33 VALUE OPTIONS 774,938$ 654,844$ 84.50% 20 0404554 1998-06-01 85 KPMG LLP 764,411$ 626,024$ 81.90% 21 0330246 1999-04-01 28 SIEMENS-WESTINGHOUSE 752,935$ 666,257$ 88.49% 22 0248837 2000-05-01 32 ARTHUR ANDERSEN 735,279$ 576,384$ 78.39% 23 0878391 1995-01-01 24 MONTGOMERY COLLEGE 683,298$ 533,535$ 78.08% 24 0721646 1995-01-01 22 SIMPLEXGRINNELL LP 683,266$ 618,401$ 90.51% 25 0296384 1995-01-01 70 ADVANCEPCS 655,825$ 547,863$ 83.54% 26 0239191 1996-03-01 35 CONVERGYS CMG 641,675$ 503,389$ 78.45% 27 0411377 1998-06-01 25 KPMG LLP 636,110$ 519,524$ 81.67% 28 0476099 1995-01-01 24 CACI INC 626,000$ 489,956$ 78.27% 29 0627887 1995-01-01 85 NORTHROP CORPORATION 604,395$ 493,331$ 81.62% 30 0255809 1996-07-01 5 DUKE ENERGY CORPORATION 602,896$ 529,771$ 87.87% The goal with these customers is primarily to retain them (and their e-commerce business). #2a – E-Commerce Sales over 75% Top Most Valuable E-Commerce Customers
  • 37. Rank Account Number First Purchase Date Location Account Name Total Revenue Total E- Commerce E-Commerce % of Total E-Commerce Revenue Gap 1 0221104 1995-01-01 64 STATE OF INDIANA 3,632,542$ 918,538$ 25.29% 2,714,004$ 2 0261823 1996-12-01 21 AT&T/SUPPLIER MANAGEMENT 3,565,982$ 1,300,236$ 36.46% 2,265,746$ 3 0203448 1996-12-01 17 PHARMACIA 3,918,121$ 1,774,960$ 45.30% 2,143,161$ 4 0525499 1995-01-01 87 AT&T WIRELESS SERVICES 3,978,617$ 2,055,344$ 51.66% 1,923,273$ 5 0319610 1997-05-01 21 LEHMAN BROTHERS INC. 2,963,077$ 1,150,133$ 38.82% 1,812,945$ 6 0346225 1997-02-01 22 MARSH USA 2,688,565$ 888,951$ 33.06% 1,799,614$ 7 0505951 1995-01-01 24 CENDANT CORPORATION 2,419,689$ 681,664$ 28.17% 1,738,025$ 8 0557447 1995-01-01 17 MASCO 2,758,827$ 1,106,303$ 40.10% 1,652,524$ 9 0486728 1995-01-01 70 STATE OF ARIZ CONTRACT [R] 1,491,029$ 374,876$ 25.14% 1,116,154$ 10 0222371 1995-09-01 87 SAFECO INSURANCE COMPANIES 1,697,080$ 621,094$ 36.60% 1,075,986$ 11 0397955 1998-09-01 29 LEXIS-NEXIS 1,469,423$ 400,998$ 27.29% 1,068,425$ 12 0339164 1995-01-01 1 KEMPER INSURANCE COMPANIES 2,076,211$ 1,022,568$ 49.25% 1,053,643$ 13 0222210 1996-10-01 35 OMNICARE 1,634,268$ 605,654$ 37.06% 1,028,614$ 14 0323373 1996-09-01 86 CHARLES SCHWAB & CO 2,016,403$ 1,015,296$ 50.35% 1,001,107$ 15 0226064 1996-02-01 31 CH2M HILL CORP 1,501,472$ 512,653$ 34.14% 988,819$ 16 0342177 1998-12-01 24 NEXTEL COMMUNICATIONS, INC 1,538,057$ 634,950$ 41.28% 903,107$ 17 0375196 1997-09-01 31 AT&T BROADBAND 1,806,931$ 920,827$ 50.96% 886,104$ 18 0253010 1996-05-01 24 INT'L MONETARY FUND 1,443,365$ 558,916$ 38.72% 884,450$ 19 0248879 1997-06-01 21 BASF CORPORATION 1,315,446$ 431,681$ 32.82% 883,766$ 20 0378704 1995-01-01 1 GRAINGER CO-NILES 1,716,869$ 841,707$ 49.03% 875,161$ 21 0758051 1995-01-01 89 ZIONS FIRST NATIONAL BANK* 1,585,747$ 713,033$ 44.97% 872,714$ 22 0292029 1999-09-01 25 H & R BLOCK 1,684,264$ 817,682$ 48.55% 866,582$ 23 0230301 1996-06-01 35 LEXMARK INTERNATIONAL INC 1,186,913$ 323,428$ 27.25% 863,485$ 24 0402613 1995-01-01 86 PROVIDIAN FINANCIAL CORP. 1,499,598$ 640,527$ 42.71% 859,071$ 25 0209385 1995-09-01 37 PARKER HANNIFIN 1,392,918$ 604,286$ 43.38% 788,632$ 26 0328778 1998-10-01 21 LUCENT TECHNOLOGIES 1,678,939$ 907,374$ 54.04% 771,565$ 27 0877913 1995-01-01 24 GEORGETOWN UNIVERSITY 1,067,104$ 318,895$ 29.88% 748,209$ 28 0218634 1995-01-01 88 PROVIDENCE MEDICAL CENTER# 1,232,055$ 512,311$ 41.58% 719,744$ 29 0593443 1995-01-01 33 CAPITAL ONE SERVICES, INC. 1,764,030$ 1,052,894$ 59.69% 711,137$ 30 0218181 1995-01-01 37 CENTURY BUSINESS SERVICES 946,780$ 257,414$ 27.19% 689,366$ #2b – E-Commerce Sales between 25% & 75% Top Most Grow-able E-Commerce Customers These customers present some of the greatest opportunities for E-Commerce migration – as they are already set-up and have significant on-line purchases.
  • 38. #3 – No Web Sales Most Grow-able E-Commerce Customers Rank Account Number Account Name First Purchase Date Location Total Revenue Total E- Commerce E-Commerce % of Total 1 0275926 WALGREENS 1996-10-01 1 7,184,102$ -$ 0.00% 2 0444890 METLIFE/CLARUS 1999-09-01 21 6,501,708$ -$ 0.00% 3 0202671 ALLSTATE INSURANCE 1995-11-01 1 5,989,547$ -$ 0.00% 4 0213264 HUMANA INC 1996-07-01 35 4,734,259$ -$ 0.00% 5 0398372 RAYTHEON SYSTEMS COMPANY 1999-02-01 85 4,113,509$ -$ 0.00% 6 0203000 BNSF/BURLINGTON NORTHERN 1997-03-01 4 3,094,373$ -$ 0.00% 7 0218781 SAIC 1999-07-01 85 3,025,635$ -$ 0.00% 8 0389932 UNUMPROVIDENT 1999-10-01 32 2,457,114$ -$ 0.00% 9 0207456 WYETH-AYERST 1995-05-01 16 2,261,112$ -$ 0.00% 10 0388768 ONDEO NALCO COMPANY 1998-02-01 1 2,248,723$ -$ 0.00% 11 0407570 WAL-MART STORES, INC. 1999-09-01 74 1,885,423$ -$ 0.00% 12 0380515 BENEFICIAL 1998-07-01 1 1,879,763$ -$ 0.00% 13 0271547 LOS ALAMOS JIT STOCKLESS 1996-06-01 46 1,838,765$ -$ 0.00% 14 0387568 UNION PACIFIC RAILROAD CO 1995-01-01 25 1,740,960$ -$ 0.00% 15 0215303 CISCO SYSTEMS INC. 1995-01-01 86 1,740,670$ -$ 0.00% 16 0377016 CIBC WORLD MARKETS 1998-04-01 21 1,728,315$ -$ 0.00% 17 0365255 UAW-FORD TSP 1997-05-01 17 1,610,330$ -$ 0.00% 18 0385573 KYO-YA 1995-01-01 81 1,589,037$ -$ 0.00% 19 0222634 COUNTRYWIDE AGENCY INC 1997-04-01 85 1,575,073$ -$ 0.00% 20 0505528 AZ ST DEPT ECON SEC. [R] 1995-01-01 70 1,451,725$ -$ 0.00% 21 0293702 MICROSOFT CORPORATION 1996-05-01 87 1,372,105$ -$ 0.00% 22 0243991 CLARIAN HEALTH PARTNERS 1995-01-01 64 1,349,570$ -$ 0.00% 23 0242826 LAWRENCE LIVERMORE LABS 1995-07-01 86 1,312,792$ -$ 0.00% 24 0220744 THE HARTFORD 1995-01-01 26 1,142,803$ -$ 0.00% 25 0443988 JOHN HANCOCK MUTUAL LIFE 1998-12-01 22 1,031,053$ -$ 0.00% 26 0273397 UNITED AIRLINES 1997-10-01 1 1,030,209$ -$ 0.00% 27 0447857 METLIFE AUTO & HOME/CLARUS 1999-11-01 21 993,938$ -$ 0.00% 28 0250565 HOUSEHOLD FINANCE 1996-03-01 1 989,369$ -$ 0.00% 29 0660841 STATE FARM MUTUAL 1995-01-01 1 981,488$ -$ 0.00% 30 0315569 GEISINGER HEALTH SYSTEMS 1998-03-01 16 972,887$ -$ 0.00% Some of the biggest Customer Bucket #3: No E-Commerce Sales migration opportunities are right here in the Chicagoland area.

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