expanded profile - insights for marketing strategy 060713
TRANSCRIPT
1
Expanded Profile
AnalyticsMay 24, 2013
Approach: Identify most attractive group of clients then monitor for Trigger events, most associated with needing new financing
Internal Databases
• EU PQ Contracts
• PQ Population
• EU PQ Add’l Info
• PQ Apps
• EUPQ Activity All
Selection Criteria
• EQUIPMENT_COST
• Annual Sales
• PQ Amount
• PQ Remaining
• Commercial_credit_score
• Amount_Booked
• Equip._Financed
• total_sum
• Total_Mo._Booked
Most Attractive Clients
• EQUIPMENT_COST
• Annual Sales
• PQ Amount
• PQ Remaining
• commercial_credit_score
• Amount_Booked
• Equip._Financed
• total_sum
• Total_Mo._Booked
Selection of Clients by Industry Data
•SIC (Industry)
•Equipment Financed
•Line of Business
•State
•Equipment
•Manufacture
•Small Business Indicator
•Year Started
•Import/Export
•Public/Private
•Minority Owned
•# of Employees
•More To Follow
New Buildings
Changes in Leadership
Length of Lease
UCC Filings
Monitored
Trigger
Events
(Examples)
Over Time
9/8/2015 2Paste in actual from Spread sheet
A base of 11,748 customers (based on Financial Attributes) are defined as the “Sweet Spot” Customer
9/8/2015 3
D: 100k-150k 109 D: 100k-150k 2,073 C: 50-150k 21,762 D: 100k-150k 162 C: 11-15 5 C: 50-150k 2,927 A: less then 500 1,523
E: 150k-200k 20 E: 150k-200k 1,856 D: 150k-250k 4,228 E: 150k-200k 52 E: 21 + 1 D: 150k-250k 2,637 B: 501-560 844
F: 200k-250k 9 F: 200k-250k 2,229 E: 250k-1MM 43 F: 200k-250k 16 MISSING,0 47,125 E: 250k-1MM 9,090 2,367G: 250k-300k 3 MISSING,0 3,287 MISSING,0 3 G: 250k-300k 9 47,131 F: 1MM-1.25MM 1,078
H: 300k-500k 1 9,445 26,036 H: 300k-500k 11 G: 1.25MM-2.5MM 4,047
MISSING,0 10,090 I: 500k + 1 H: 2.5MM-10MM 5,418
10,232 251 I: 10MM + 2,860
MISSING,0 42,224
70,281
Total months
Booked over Time
Total Sales
Volume over Time
Sweet Spot Financial ProfileCommercial Credit
ScoreAm't Booked PQ Am't PQ Remaining
Total Sum Booked
over time
Integration of ROI Factors
Sweet Spot, Pre-
Attribute Screen
Below are the New Strategic Segments to employ a more sophisticated marketing strategy and the Marlin Business Rules which defined these Segments
9/8/2015 4
Source
File
EU PQ
Contracts
2013 PQ
Population
EU PQ Addl
Info
Marlin PQ
Apps
EUPQ Activity
Final # of
Records 91,772 70,582 70,832 111,537 123,660
From
(date)
Life to date on
70,582
Marketed to
in 1Q13
Marketed to
in 1Q13
Life to date
on 70,582
Life to date
on 123,660
As of As of 03 20131Q13
Population
1Q13
Population As of 03 2013 As of 03 2013
Rec'd by
IG04/18/13 03/25/03 04/18/13 05/03/13 03/28/13
Marlin Files
No Hope Little Potential Pot'l Sweet Spot Sweet Spot Total
2,113 166 1,253 1,120 4,652
6,572 1,831 14 1,349 9,766
984
70,599 10,980 9,180 8,037 98,796
69,109 10,925 13,482 11,748 105,264 Excludes Missing/Blank & Credit score below definition within each Segment
Excludes Missing & Blank - Cum. Credit scores
# of records with Missing & Blank across all elements determining Segments
Includes: Missing & Blank, Booked all status' except Declined, Cum. Credit Scores per segment
Includes: Missing & Blank, Booked all status' except Declined, all credit scores
Below is the Marlin Data and Criteria to determine the four Strategic segments
9/8/2015 5
Segments For
Strategy
Development
Amount Booked Total Sum PQ Amount Equip. Cost
Months w/
Marlin (Time in
Bus.)
Commer'l ScoreType of Location
(Bus. Status)Sales Vol.
Segment
Quantities
Little
PotentialB: 25k-50k, Missing,
Blank
B: 25k-50k, Missing,
Blank
B: 25k-50k, Missing,
Blank
B: 25k-50k, Missing,
BlankAll
A: less than 500
B: 501-560, Blank
Single location
business, BlankAll 10,925
C: 50-100k C: 50-100k C: 50-100k C: 50-100kA: less than 500
B: 501-560
B: Headquarters w/
branches
D: 100k-150k D: 100k-150k D: 100k-150k D: 100k-150k C: 560-600C: Branch location
reporting to HQ
Missing, Blank Missing, Blank E: 150k-200k E: 150k-200k D: 600-640 (blank)
Missing, Blank Missing, Blank (blank)
E: 150k-200k E: 150k-200k F: 200k-250k F: 200k-250k D: 75-100A: less than 500
B: 501-560HQ w/ branches F: 1MM-1.25MM
F: 200k-250k F: 200k-250k Missing, Blank G: 250k-300k E: 100+ C: 560-600 Missing, Blank G: 1.25MM-2.5MM
G: 250k-300k G: 250k-300k H: 300k-500k Missing, Blank D: 600-640 H: 2.5MM-10MM
H: 300k-500k H: 300k-500k Missing, Blank E: 640-700 I: 10MM +
Missing, Blank I: 500k + (blank) Missing, Blank
Missing, Blank
Total 105,264
Booked - All criteria 106,920
(1,656)
Missing, Blank - All criteria 984
(672)
All Segments
Difference
Segmentation Definition:
Sweet Spot 11,748
AllA: Less then 25k,
Missing, Blank
A: Less then 25k,
Missing, Blank
A: Less then 25k,
Missing, Blank
A: Less then 25k,
Missing, Blank
A: less then 500,
Blank
Single location
business, Blank
All
All
All
No hope
Potential
Sweet Spot13,482
69,109
Sales team still focused on easiest-to-convert, which are the least profitable
9/8/2015 6
CustomersCustomers
Contacted 2010 -
2012
Contact Rate %Applications 2010 -
2012Application Rate %
Booked Deals 2010 -
2013Net Conversion %
Segment No Hope 2010 -
2012 69,109 5,534 8% 5,492 99% 376 7% Little Potential
2010 - 2012 10,925 415 4% 412 99% 5,199 1262% Potential Sweet
Spot 2010 - 2012 13,482 2,185 16% 263 12% 196 75% Sweet Spot 2010 -
2012 11,748 1,908 16% 6 0% 6 100%
Total All Segments 105,264 10,042 10% 6,173 61% 5,777 94%
Missing, Blank 984 60,726 6171% 80,018 132% 46,515 58%Grand Total 106,248 70,768 67% 86,191 122% 52,292 61%
Population Performance
Too little sales effort to the 1 lease clients misses the lowest hanging fruit
9/8/2015 7
CustomersCustomers
Contacted 2010 -
2012
Contact Rate %Applications 2010 -
2012Application Rate %
Booked Deals 2010 -
2013Net Conversion %
Segment No Hope 2010 -
2012 69,109 5,534 8% 5,492 99% 376 7%
Population Performance
Metric 2010 2011 2012
Distribution 1173 1930 2431
Metric Jan Feb Mar Apr May Jun
Distribution 392 382 510 452 479 522
Metric Jul Aug Sep Oct Nov Dec
Distribution 522 518 537 565 324 331
Metric CA TX FL NY PA NJ
Distribution 579 539 510 467 273 270
Metric GA IL NC MA OH MD
Distribution 242 172 165 163 142 117
Metric CO MI TN VA AL SC
Distribution 113 113 108 108 103 96
Metric CA TX FL NY PA NJ
Distribution 579 539 510 467 273 270
Metric GA IL NC MA OH MD
Distribution 242 172 165 163 142 117
Metric CO MI TN VA AL SC
Distribution 113 113 108 108 103 96
Metric Copiers
Restaurant
(General)
Telephone-non
internet Security Systems Computer Software Water Coolers
Distribution 1560 303 260 258 226 218
Metric CCTV Security SystemCommerce & Indus (Gen)Commercial CleaningAutomotive (General) Dishmachines Computer Hardware
Distribution 202 175 157 150 147 136
Metric No Yes (blank)
Distribution 96 1858 3580
Metric A: Less then 25k B: 25k-50k C: 50-150k D: 150k-250k E: 250k-1MM F: 1MM-1.25MM
Distribution 7 72 701 437 519 13
Metric G: 1.25MM-2.5MM H: 2.5MM-10MM I: 10MM + MISSING,0
Distribution 42 27 7 3709
Booking
Month
State of PQ
State
Equip.
Financed
Manufacturing
Sales Volume
No Hope 2010 - 2012
Booking Year
Metric A: 1-25 B: 25-50 C: 50-75 D: 75-100 E: 100+
MISSING,0,Negativ
e
Distribution 4423 459 96 42 35 479
Metric B: 501-560 C: 560-600 D: 600-640 E: 640-700 F: 701-720 G: 720-780
Distribution 2 2 12 75 52 206
Metric H: 780 + (blank)
Distribution 117 5068
Metric
Distribution
Metric
Distribution
Metric A: 1-25 B: 25-50 MISSING,0
Distribution 2458 2 3074
Metric N Y (blank)
Distribution 310 1644 3580
Metric
A: This is a single
location business
B: Headquarters
location It has one
or more branch
C: Branch
locationn It
reports to a
headquarters l
Distribution 1919 19 16
Metric N Y (blank)
Distribution 1953 1 3580
Metric Both Export Import (blank)
Distribution 4 3 25 5502
Public/Private
Import/Export
Time in Bus.
FICO
D&B Score
Employees
Small Business
Bus. Status
No Hope 2010 - 2012
9/8/2015 8
Metric 2010 2011 2012
Distribution 77 148 190
Metric Jan Feb Mar Apr May Jun
Distribution 26 29 42 35 30 36
Metric Jul Aug Sep Oct Nov Dec
Distribution 46 47 26 34 29 35
Metric CA TX FL NY NJ PA
Distribution 58 42 30 30 25 21
Metric GA MA MI TN IL VA
Distribution 20 16 11 11 10 10
Metric MD NC AL WI CO MN
Distribution 9 9 8 8 6 6
Metric CA TX FL NY NJ PA
Distribution 58 42 30 30 25 21
Metric GA MA MI TN IL VA
Distribution 20 16 11 11 10 10
Metric MD NC AL WI CO MN
Distribution 9 9 8 8 6 6
Metric Copiers
Computer
Software
Telephone-
non internet
Healthcare
Surgical (Gen)
Restaurant
(General)
Commerce &
Indus (Gen)
Distribution 51 32 32 21 21 18
Metric Computer Hard/Soft (Gen)Computer Hardware BrokerComputers with MonitorsSecurity SystemsHealthcare Diagnostic(Gen
Distribution 18 16 12 11 11 10
Metric (blank) Yes No
Distribution 219 174 22
Metric MISSING,0 E: 250k-1MM
G: 1.25MM-
2.5MM
H: 2.5MM-
10MM
F: 1MM-
1.25MM C: 50-150k
Distribution 223 75 41 41 12 10
Metric D: 150k-250k I: 10MM + 0 0
Distribution 10 3 0 0
Booking Year
Booking
Month
State of PQ
State
Equip.
Financed
Manufacturin
g
Sales Volume
Little Potential 2010 - 2012Metric A: 1-25 B: 25-50 C: 50-75 D: 75-100 E: 100+
MISSING,0,Neg
ative
Distribution 310 77 22 4 1 1
Metric B: 501-560 E: 640-700 F: 701-720 G: 720-780 H: 780 + (blank)
Distribution 1 5 4 8 7 390
Metric 0 0
Distribution 0 0
Metric
Distribution
Metric
Distribution
Metric E: 100+ B: 25-50 D: 75-100
Distribution 0 81 0
Metric N Y (blank)
Distribution 24 172 219
Metric
A: This is a
single location
business
B:
Headquarters
location It has
one or more
branch
C: Branch
locationn It
reports to a
headquarters l
Distribution 179 16 1
Metric Public Private Blank
Distribution 0 196 219
Metric Both Export Import (blank)
Distribution 2 2 13 398
Import/Expor
t
FICO
D&B Score
Employees
Small
Business
Bus. Status
Public/Privat
e
Time in Bus.
Little Potential 2010 - 2012
CustomersCustomers
Contacted 2010 -
2012
Contact Rate %Applications 2010 -
2012Application Rate %
Booked Deals 2010 -
2013
Net
Conversion %
Segment
Little Potential
2010 - 2012 10,925 415 4% 412 99% 5,199 1262%
Population Performance
9/8/2015 9
Metric 2010 2011 2012
Distribution 20 47 71
Metric Jan Feb Mar Apr May Jun
Distribution 10 8 8 10 11 16
Metric Jul Aug Sep Oct Nov Dec
Distribution 14 9 16 12 6 18
Metric CA FL NY TX IL PA
Distribution 18 12 12 9 8 8
Metric OH MI NJ GA IN VA
Distribution 7 6 6 5 5 5
Metric CT DC MA AR IA ID
Distribution 3 3 3 2 2 2
Metric CA NY FL TX PA NJ
Distribution 31 23 18 17 10 9
Metric IL GA OH MI VA IN
Distribution 8 7 7 6 6 5
Metric CT MN CO DC MA TN
Distribution 4 4 3 3 3 3
Metric Copiers
Computer
Software
Computer
Hard/Soft (Gen)
Computer
Hardware
Telephone-non
internet
Restaurant
(General)
Distribution 26 17 13 12 9 7
Metric Security SystemsCommerce & Indus (Gen) Broker Computers with MonitorsDental Implant Systems Fork Lift
Distribution 5 4 3 2 2 2
Metric No Yes Blank
Distribution 13 43 82
Metric
G: 1.25MM-
2.5MM
H: 2.5MM-
10MM I: 10MM + MISSING,0 0 0
Distribution 3 12 34 89 0 0
Metric 0 0 0 0
Distribution 0 0 0 0
Booking Year
Booking
Month
State of PQ
State
Equip.
Financed
Manufacturin
g
Sales Volume
Potential Sweet Spot 2010 - 2012Metric A: 1-25 B: 25-50 C: 50-75 D: 75-100 E: 100+ 0
Distribution 58 52 13 4 11 0
Metric E: 640-700 (blank) 0 0 0 0
Distribution 1 137 0 0 0 0
Metric 0 0
Distribution 0 0
Metric
Distribution
Metric
Distribution
Metric E: 100+ B: 25-50 D: 75-100
Distribution 61 25 19
Metric N Y (blank)
Distribution 32 24 82
Metric
A: This is a
single location
business
B: Headquarters
location It has
one or more
branch
C: Branch
locationn It
reports to a
headquarters l
Distribution 62 50 6
Metric Public Private Blank
Distribution 52 4 82
Metric Both Export Import (blank)
Distribution 3 1 7 127
D&B Score
Employees
Small
Business
Bus. Status
Public/Private
Import/Export
Time in Bus.
FICO
Potential Sweet Spot 2010 - 2012
CustomersCustomers
Contacted 2010 -
2012
Contact Rate %Applications 2010 -
2012Application Rate %
Booked Deals 2010 -
2013
Net
Conversion %
Segment Potential Sweet
Spot 2010 - 2012 13,482 2,185 16% 263 12% 196 75%
Population Performance
9/8/2015 10
Metric 2011 0 0
Distribution 0 0 0
Metric Dec 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric 0 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric NY 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric 0 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric 0 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric 0 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric 0 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric 0 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric
Computer
Software 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric 0 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric (blank) 0 0
Distribution 0 0 0
Metric MISSING,0 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric 0 0 0 0
Distribution 0 0 0 0
Booking
Month
State of PQ
State
Equip.
Financed
Manufacturing
Sales Volume
Sweet Spot 2010 - 2012
Booking Year
Metric D: 75-100 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric (blank) 0 0 0 0 0
Distribution 0 0 0 0 0 0
Metric 0 0
Distribution 0 0
Metric
Distribution
Metric
Distribution
Metric E: 100+ 0 0
Distribution 0 0 0
Metric (blank) 0 0
Distribution 0 0 0
Metric (blank) 0 0
Distribution 0 0 0
Metric (blank) 0 0
Distribution 0 0 0
Metric (blank) 0 0 0
Distribution 0 0 0 0
Public/Private
Import/Export
Time in Bus.
FICO
D&B Score
Employees
Small Business
Bus. Status
Sweet Spot 2010 - 2012
CustomersCustomers
Contacted 2010 -
2012
Contact Rate %Applications 2010 -
2012Application Rate %
Booked Deals 2010 -
2013
Net
Conversion %
Segment
Sweet Spot 2010 -
2012 11,748 1,908 16% 6 0% 6 100%
Population Performance
UCC filings are key to more productive prospecting
9/8/2015 11
SAS VARIABLE Description Field Name Description
F_AGN Duns Number FILING AGN (ENTITY)
System generated ID Number for each UCC filing. This is the means used to identify
unique filings. This field is generally used for D&B internal purposes and may have no
relevance for those outside of D&B. Also known as ENTITY number.
F_DATE State FILING DATE The date that the UCC lien was field with the state or county office. Format: ccyymmdd
F_STATEMENT_TYPE_CODEPhysical Zip FILING STATEMENT TYPE CODE ###########################################################################
F_EXPIRATION_DATE Mailing City FILING EXPIRATION DATE ccyymmdd
F_NUM Mailing State FILING NUMBER The filing number of the UCC document.
F_OFF_DUNS Mailing Zip +4 Extention FILING OFFICE D-U-N-S® NumberThe Data Universal Numbering System (D-U-N-S®) assigned to the jurisdiction office where
the filing was filed.
XREF_DATE Carrier Route Code XREF DATE The original filing date. Format is: ccyymmdd
XREF_NBR XREF-NUMBER The original filing number—ties back to original filing
SECP_SEQ National CodesSECURED PARTY SEQUENCE
NUMBER
Within a group of UCC filings, indicates the relative position of the selected secured party
to all other secured parties within the group.
ASSIGNEE_IND D&B State Code ASSIGNEE INDICATOR
Y = Yes if secured party is the assignee
Blank = Secured party (nothing indicating if secured party an assignee)
SECP_DUNS D&B City CodeSECURED PARTY D-U-N-S® NUMBER The D-U-N-S® Number of the secured party.
SECP_NAME D&B SMSA Code SECURED PARTY NAMEThe business name of the secured party. These names are not standardized (i.e.: AT&T
Capital Corporation my be listed several ways…AT&T Capital Corp., ATT Capital Corp.,
etc.)SECP_STREET Telephone Number SECURED PARTY STREET The street on which the secured party is located.
SECP_CITY SECURED PARTY CITY The city in which the secured party is located.
UCC Triggers
UCC filings are key to more productive prospecting
9/8/2015 12
SECP_STATE SECURED PARTY STATE The state in which the secured party is located.
SECP_ZIP SECURED PARTY ZIP The ZIP Code for the secured party’s location.
DEBT_SEQ DEBTOR SEQUENCE NUMBERWithin a group of UCC filings, indicates the relative position of the selected debtor party to
all other debtors within the group.
DMIFLAG DMI INDICATOR DMI Record Type (values 0,1,2) - blank if not on DMI
DEBT_DUNS DEBTOR D-U-N-S® NUMBER The D-U-N-S® Number of the debtor.
DEBT_NAME DEBTOR NAME The business name of the debtor.
DEBT_STREET Sales Volume DEBTOR STREET The street on which the debtor is located.
DEBT_CITY Code for Est/Range DEBTOR CITY The city in which the debtor is located.
DEBT_STATE Employees Total DEBTOR STATE The state in which the debtor is located.
DEBT_ZIP DEBTOR ZIP The ZIP Code for the debtor’s location.
(COLL01-COLL36) Code for Act/Range COLLATERAL CODES See code table.
(PREQ01-PREQ36) Employees HereCOLLATERAL CODES PRE-
QUALIFIERS
A code which indicates that there is additional information available regarding the
description of the collateral, preceded by:
1 = specified
2 = all
3 = leased
4 = various*
5 = certain*
* not used last 7 years
(POST01_POST36) Code for Act/RangeCOLLATERAL CODES POST-
QUALIFIERS
A code which indicates that there is additional information available regarding the
description of the collateral, followed by:
1 = and proceeds
2 = including proceeds and products
3 = and productsDT_ENTD Subsidiary Indicator DATE ENTERED Date Placed on D&B Database (populated from Mar04 update forward)
COLL_TYP Subsidiary Indicator COLLATERAL TYPE
The type of asset(s) used as collateral to secure the loan:
F = Fixed
C = Current
B = Both Fixed and Current (or collateral codes 11,23,35,99)
FILING_STATE Subsidiary Indicator STATE FILED Based on Courthouse DUNS lookup
UCC Triggers
The profile of our “Sweet Spot” customers can now be defined by external attributes, to know WHERE TO FOCUS our Marketing Tactics
Industry – Equipment – Line of Business – Business Status
9/8/2015 13
SIC (Industry) - Not all Shown Below Equipment Financed LOB State Business Status
Grand Total 2,367 % Grand Total 2,367 % Grand Total 2,367 % Grand Total 2,367 % Grand Total 2,367 %
(blank) 243 10.27% (blank) 1,836 77.6% (blank) 1,105 46.7% CA 519 21.9% (blank) 1,105 46.7%
ATTORNEYS 146 6.17% Copiers 173 7.3% Legal Services 90 3.8% TX 257 10.9% A: This is a single location business812 34.3%
INSURANCE 45 1.90% Water Coolers 71 3.0% New Used Car Dlrs 34 1.4% IL 179 7.6% B: Headquarters location It has one or more branch314 13.3%
PHYSICIANS & SURGEONS EQUIP & SUPLS-MFRS 36 1.52% Broker 42 1.8% Engineering Svcs 29 1.2% NY 172 7.3% C: Branch location It reports to a headquarters l136 5.7%
ELEMENTARY AND SECONDARY SCHOOLS 31 1.31% Computer Software 30 1.3% Insurance Agnts Sv27 1.1% PA 159 6.7%
ACCOUNTANTS 26 1.10% Telephone-non internet 25 1.1% Mngmnt Cnsltng Svcs23 1.0% MA 107 4.5%
AUTOMOBILE BODY-REPAIRING & PAINTING 25 1.06% Security Systems 23 1.0% Ofcs Clns of Mdl D 21 0.9% NC 103 4.4%
ADVERTISING-AGENCIES & COUNSELORS 24 1.01% CCTV Security System 20 0.8% Elmntry Scndry Scl 20 0.8% NJ 102 4.3%
ARCHITECTS 21 0.89% Commerce & Indus (Gen) 19 0.8% Eqpt Rntl Lsing N 20 0.8% AZ 84 3.5%
RESTAURANTS 21 0.89% Message On-Hold System 19 0.8% Acctng Audtng Bkp18 0.8% VA 84 3.5%
EXECUTIVE OFFICES 19 0.80% Computer Hardware 17 0.7% Misc Rtl Strs Nec 18 0.8% GA 65 2.7%
INDIVIDUAL AND FAMILY SOCIAL SERVICES 19 0.80% Commercial Cleaning 10 0.4% Indl McHnry Eqpt 17 0.7% OH 63 2.7%
RELIGIOUS ORGANIZATIONS 18 0.76% Computer Hard/Soft (Gen) 8 0.3% Architectural Svcs 16 0.7% CT 58 2.5%
BUSINESS MANAGEMENT CONSULTANTS 10 0.42% Musical Instruments 2 0.1% Plbng Htng Air-Co 11 0.5% MN 12 0.5%
PHYSICIANS & SURGEONS EQUIP & SUPLS-WHLS 10 0.42% Other C&I 2 0.1% Bldng Maint Svc Ne10 0.4% UT 11 0.5%
BOAT DEALERS SALES & SERVICE 9 0.38% Security Systems(General) 2 0.1% Eating Places 10 0.4% AL 10 0.4%
COLLEGES, UNIVERSITIES, AND PROFESSIONAL 9 0.38% Sound Systems 2 0.1% Industrial Supplies10 0.4% CO 10 0.4%
CONTRACTORS-EQUIPMENT & SUPLS-RENTING 9 0.38% Automotive (General) 1 0.0% Boat Dealers 9 0.4% NM 9 0.4%
COPYING & DUPLICATING MACHINES & SUPLS 9 0.38% Copier - Used 1 0.0% Farm Garden Machnr9 0.4% OR 9 0.4%
ENGINEERS-CIVIL 9 0.38% Dictation 1 0.0% Home Hlth Care Svcs9 0.4% TN 9 0.4%
HOME HEALTH SERVICE 9 0.38% Dishmachines 1 0.0% Repair Svcs Nec 9 0.4% RI 8 0.3%
AUTOMOBILE PARTS & SUPPLIES-RETAIL-NEW 8 0.34% Fire Suppression 1 0.0% Sklld Nrsng Cr Fclt 9 0.4% AR 6 0.3%
BUILDING CLEANING AND MAINTENANCE SERVIC 8 0.34% Fitness 1 0.0% Spcl Trd Cntrs Nec 9 0.4% IN 6 0.3%
COMPUTER SERVICES 8 0.34% Healthcare Therapy (Gen) 1 0.0% Srgl Mdcl Instrmnt 9 0.4% KS 4 0.2%
Sum of _FREQ_ Sum of _FREQ_ Sum of _FREQ_ Sum of _FREQ_ Sum of _FREQ_
The profile of our “Sweet Spot” customers can now be defined by external attributes, to know WHERE TO FOCUS our Marketing Tactics
State – Business Status – Equipment Value – Manufacturer – Bus. Type
9/8/2015 14
State Business Status Equipment Manufacturer Small Bus. Ind.
Grand Total 2,367 % Grand Total 2,367 % Grand Total 2,367 % Grand Total 2,367 % Grand Total 2,367 %
CA 519 21.9% (blank) 1,105 46.7% MISSING,0 1,831 77.4% (blank) 1,105 46.7% (blank) 1,105 46.7%
TX 257 10.9% A: This is a single location business812 34.3% A: Less then 25k 419 17.7% 1 1,012 42.8% Y 839 35.4%
IL 179 7.6% B: Headquarters location It has one or more branch314 13.3% B: 25k-50k 57 2.4% 0 250 10.6% N 423 17.9%
NY 172 7.3% C: Branch location It reports to a headquarters l136 5.7% C: 50-100k 37 1.6%
PA 159 6.7% D: 100k-150k 20 0.8%
MA 107 4.5% E: 150k-200k 2 0.1%
NC 103 4.4% F: 200k-250k 1 0.0%
NJ 102 4.3%
AZ 84 3.5%
VA 84 3.5%
GA 65 2.7%
OH 63 2.7%
CT 58 2.5%
MN 12 0.5%
UT 11 0.5%
AL 10 0.4%
CO 10 0.4%
NM 9 0.4%
OR 9 0.4%
TN 9 0.4%
RI 8 0.3%
AR 6 0.3%
IN 6 0.3%
KS 4 0.2%
Sum of _FREQ_ Sum of _FREQ_ Sum of _FREQ_ Sum of _FREQ_ Sum of _FREQ_
The profile of our “Sweet Spot” customers can now be defined by external attributes, to know WHERE TO FOCUS our Marketing Tactics
Yr. Started – Import/Export – Public/Private – Minority - # of Employees
9/8/2015 15
Yr Started Import / Export Public / Private Minority Owned # of Employees
Grand Total 2,367 % Grand Total 2,367 % Grand Total 2,367 % Grand Total 2,367 % Grand Total 2,367 %
MISSING,0 1,246 52.6% (blank) 2,209 93% N 1,237 52.3% (blank) 2,290 96.7% A: 1-25 800 33.8%
F: 1980-1990 318 13.4% Import 124 5% (blank) 1,105 46.7% MIN 77 3.3% E: 100+ 738 31.2%
G: 1990-2000 221 9.3% Both 25 1% Y 25 1.1% B: 25-50 390 16.5%
E: 1970-1980 218 9.2% Export 9 0% C: 50-75 235 9.9%
H: 2000-2010 100 4.2% D: 75-100 204 8.6%
B: 1900-1950 98 4.1%
D: 1960-1970 91 3.8%
C: 1950-1960 61 2.6%A: Older then 1900 10 0.4%
I: 2010 or newer (Incomplete)
Sum of _FREQ_Sum of _FREQ_Sum of _FREQ_ Sum of _FREQ_Sum of _FREQ_
Still too much effort with low return 2010 - 2012
9/8/2015 16
Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contact
s
Booked
Conv.
Booked/Ap
ps
Conv:
Booked/Con
tacts
A: 1-5 3,996 5,488 137.3% 373 7% 9%
B: 6-10 937 4 0.4% 3 75% 0%
C: 11-15 481 0.0% #DIV/0! 0%
D: 15-20 60 0.0% #DIV/0! 0%
E: 21 + 60 0.0% #DIV/0! 0%
TOTAL 5,534 5,492 99.2% 376 7% 7%
(blank) - 49,078 #DIV/0! 44,309 90% #DIV/0!
MISSING,0 - 42 #DIV/0! 42 100% #DIV/0!
No Hope 2010 - 2012Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contact
s
Booked
Conv.
Booked/App
s
Conv:
Booked/Con
tacts
A: 1-5 241 412 171.0% 5,199 1262% 2157%
B: 6-10 119 0.0% #DIV/0! 0%
C: 11-15 41 0.0% #DIV/0! 0%
D: 15-20 5 0.0% #DIV/0! 0%
E: 21 + 9 0.0% #DIV/0! 0%
TOTAL 415 412 99.3% 5,199 1262% 1253%
(blank) - #DIV/0! - #DIV/0! #DIV/0!
MISSING,0 - 3 #DIV/0! 3 100% #DIV/0!
Little Potential 2010 - 2012
Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contac
ts
Booked
Conv.
Booked/Ap
ps
Conv:
Booked/Co
ntacts
A: 1-5 2,098 263 12.5% 196 75% 9%
B: 6-10 61 0.0% #DIV/0! 0%
C: 11-15 24 0.0% #DIV/0! 0%
D: 15-20 1 0.0% #DIV/0! 0%
E: 21 + 1 0.0% #DIV/0! 0%
TOTAL 2,185 263 12.0% 196 75% 9%
(blank) 5,197 5,197 100.0% 436 8% 8%
MISSING,0 - 1,922 #DIV/0! 2 0% #DIV/0!
Potential Sweet Spot 2010 - 2012Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contac
ts
Booked
Conv.
Booked/Ap
ps
Conv:
Booked/Co
ntacts
A: 1-5 1,908 6 0.3% 6 100% 0.3%
B: 6-10 #DIV/0! #DIV/0! #DIV/0!
C: 11-15 #DIV/0! #DIV/0! #DIV/0!
D: 15-20 #DIV/0! #DIV/0! #DIV/0!
E: 21 + #DIV/0! #DIV/0! #DIV/0!
TOTAL 1,908 6 0.3% 6 100% 0.3%
(blank) 4,779 4,779 100.0% 4,779 100% 100.0%
MISSING,0 - 1,902 #DIV/0! 1,902 100% #DIV/0!
Sweet Spot 2010 - 2012
Much less focus/effort on small customers 2010-2012, with far lower (App to Booked) Conversion Rates
9/8/2015 17
Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contact
s
Booked
Conv.
Booked/Ap
ps
Conv:
Booked/Con
tacts
A: 1-5 9,693 1,502 15.5% 6,791 452% 70%
B: 6-10 2,476 2 0.1% 2,310 115500% 93%
C: 11-15 1,034 0.0% 973 #DIV/0! 94%
D: 15-20 701 0.0% 658 #DIV/0! 94%
E: 21 + 593 0.0% 562 #DIV/0! 95%
TOTAL 14,497 1,504 3.1% 11,294 751% 78%
(blank) 49,078 49,078 100.0% 44,309 90% 90%
MISSING,0 - 12,993 #DIV/0! 42 0% #DIV/0!
No Hope Pre-2010
Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contact
s
Booked
Conv.
Booked/Ap
ps
Conv:
Booked/Con
tacts
A: 1-5 3,996 5,488 137.3% 373 7% 9%
B: 6-10 937 4 0.4% 3 75% 0%
C: 11-15 481 0.0% #DIV/0! 0%
D: 15-20 60 0.0% #DIV/0! 0%
E: 21 + 60 0.0% #DIV/0! 0%
TOTAL 5,534 5,492 99.2% 376 7% 7%
(blank) - 49,078 #DIV/0! 44,309 90% #DIV/0!
MISSING,0 - 42 #DIV/0! 42 100% #DIV/0!
No Hope 2010 - 2012
Pre-2010 there was far more contact effort – low conversion, while post 2010 extremely high Bookings (need to look at PQ’s for these conversions)
9/8/2015 18
Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contact
s
Booked
Conv.
Booked/App
s
Conv:
Booked/Con
tacts
A: 1-5 3,736 99 2.6% 451 456% 12%
B: 6-10 162 1 0.6% 142 14200% 88%
C: 11-15 76 0.0% 66 #DIV/0! 87%
D: 15-20 40 0.0% 35 #DIV/0! 88%
E: 21 + 45 0.0% #DIV/0! 0%
TOTAL 4,059 100 2.5% 694 694% 17%
(blank) 6,451 3,959 61.4% 42 1% 1%
MISSING,0 - 6,451 #REF! 1,686 26% #DIV/0!
Little Potential Pre-2010
Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contact
s
Booked
Conv.
Booked/App
s
Conv:
Booked/Con
tacts
A: 1-5 241 412 171.0% 5,199 1262% 2157%
B: 6-10 119 0.0% #DIV/0! 0%
C: 11-15 41 0.0% #DIV/0! 0%
D: 15-20 5 0.0% #DIV/0! 0%
E: 21 + 9 0.0% #DIV/0! 0%
TOTAL 415 412 99.3% 5,199 1262% 1253%
(blank) - #DIV/0! - #DIV/0! #DIV/0!
MISSING,0 - 3 #DIV/0! 3 100% #DIV/0!
Little Potential 2010 - 2012
Pre-2010 and Post-2010 Contacts were similar, with much higher applications but lower conversion rates App’s to Booked
9/8/2015 19
Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contac
ts
Booked
Conv.
Booked/Ap
ps
Conv:
Booked/Co
ntacts
A: 1-5 2,266 91 4.0% 254 279% 11%
B: 6-10 79 0.0% 67 #DIV/0! 85%
C: 11-15 42 0.0% 35 #DIV/0! 83%
D: 15-20 28 0.0% 24 #DIV/0! 86%
E: 21 + 15 0.0% 12 #DIV/0! 80%
TOTAL 2,430 91 3.7% 392 431% 16%
(blank) 5,197 5,197 100.0% 436 8% 8%
MISSING,0 - 2,339 #DIV/0! 0% #DIV/0!
Potential Sweet Spot Pre-2010
Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contac
ts
Booked
Conv.
Booked/Ap
ps
Conv:
Booked/Co
ntacts
A: 1-5 2,098 263 12.5% 196 75% 9%B: 6-10 61 0.0% #DIV/0! 0%
C: 11-15 24 0.0% #DIV/0! 0%
D: 15-20 1 0.0% #DIV/0! 0%
E: 21 + 1 0.0% #DIV/0! 0%
TOTAL 2,185 263 12.0% 196 75% 9%
(blank) 5,197 5,197 100.0% 436 8% 8%
Potential Sweet Spot 2010 - 2012
Post 2010, Contacts to SS Clients scaled DRAMATICALLY
9/8/2015 20
Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contac
ts
Booked
Conv.
Booked/Ap
ps
Conv:
Booked/Co
ntacts
A: 1-5 1 0.0% 1 #DIV/0! 100%
B: 6-10 #DIV/0! #DIV/0! #DIV/0!
C: 11-15 #DIV/0! #DIV/0! #DIV/0!
D: 15-20 #DIV/0! #DIV/0! #DIV/0!
E: 21 + #DIV/0! #DIV/0! #DIV/0!
TOTAL 1 - 0.0% 1 #DIV/0! 100%
(blank) #DIV/0! #DIV/0! #DIV/0!
MISSING,0 - 1 #DIV/0! 0% #DIV/0!
Sweet Spot Pre-2010
Contact
Ranges,
Values
*ContactsApplicati
ons
Conv.
Apps/Contac
ts
Booked
Conv.
Booked/Ap
ps
Conv:
Booked/Co
ntacts
A: 1-5 1,908 6 0.3% 6 100% 0.3%
B: 6-10 #DIV/0! #DIV/0! #DIV/0!
C: 11-15 #DIV/0! #DIV/0! #DIV/0!
D: 15-20 #DIV/0! #DIV/0! #DIV/0!
E: 21 + #DIV/0! #DIV/0! #DIV/0!
TOTAL 1,908 6 0.3% 6 100% 0.3%
(blank) 4,779 4,779 100.0% 4,779 100% 100.0%
MISSING,0 - 1,902 #DIV/0! 1,902 100% #DIV/0!
Sweet Spot 2010 - 2012
Overall, conversion rates are higher for “Sweet Spot” customers
9/8/2015 21
Performance by Ttl
Months Booked
Performance by Ttl
Months Booked
Conv. Rate Apps/Contacts Total Conv. Rate Apps/Contacts Total
A: 1-5 8.4% A: 1-5 57.8%
B: 6-10 1.0% B: 6-10 1.1%
C: 11-15 0.4% C: 11-15 0.3%
D: 15-20 2.5% D: 15-20 0.2%
E: 21 + 0.9% E: 21 + 0.2%
"Sweet Spot"
Customer All Customers
Performance by Ttl
Months Booked
Performance by Ttl
Months Booked
Conv. Rate Bookings/Apps Total Conv. Rate Bookings/Apps Total
Total Contacts Total Contacts
A: 1-5 0.8% A: 1-5 88.7%
MISSING,0 4.1% B: 6-10 30.5%
Grand Total C: 11-15 26.3%
E: 21 + 14.3%
MISSING,0 103.6%
"Sweet Spot"
Customer All Customers
Yr/yr Conversion Rates not appear to be improving for “Sweet Spot” customers – BUT overall these rates continue to improve
9/8/2015 22
Performance by Total
Months Booked
Conv. Rate Bookings/Apps 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Total
A: 1-5 0.0% 0.4% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 50.0% 0.0% 0.8%
MISSING,0 5.6% 5.6% 5.9% 4.4% 4.0% 4.9% 3.7% 6.3% 4.1%
"Sweet Spot" Customer
Performance by Total
Months Booked
Conv. Rate Bookings/Apps 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 (blank) Total
A: 1-5 69.4% 72.6% 69.9% 58.1% 59.7% 59.6% 63.2% 68.8% 103.7% 99.1% 98.8% 100.0% 0.0% 88.7%
B: 6-10 0.0% 0.0% 33.3% 75.0% 33.3% 12.5% 21.7% 30.0% 59.3% 31.7% 5.3% 30.5%
C: 11-15 0.0% 0.0% 50.0% 100.0% 50.0% 0.0% 0.0% 26.3%
E: 21 + 0.0% 0.0% 0.0% 100.0% 0.0% 14.3%
MISSING,0 103.6% 103.0% 103.5% 103.2% 102.4% 104.6% 106.4% 107.2% 0.0% 0.0% 0.0% 103.5% 103.6%
All Customers
“No Hope”
Little Potential
Potential “Sweet Spot”
“Sweet Spot”
• No Marketing
• Current Marketing
• Incubation
• Intense Incubation
The Four Client Segments will each have different levels of Marketing Intensity, based on Trigger monitoring
9/8/2015 23
See Sweet Spot Financial Profile
•PQ>$150K•PQ Remaining >$100K•Inside Industry Criteria
•<3 Leases over time•PQ >$100K•High Freq. of email and mail•Outside of Industry Criteria
•Single Lease•Less than $5K
•PQ > $50K•Highest Freq. of email and mail•Outside of Industry Criteria
11,748
13,482
10,925
69,109
A sequenced communication strategy “Nurturing” all but “No Hope” contacts to become “Sweet Spot” Clients
24
Dis
po
siti
on
s
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lt
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13
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& P
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Resp
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than
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ealized
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TBD Nurture - Soft SellTBD
TBD Nurture - Soft SellTBD
TBD Nurture - Soft SellTBD
TBD Nurture - Soft SellTBD
TBD Nurture - Soft SellTBD
2,367
Sweet Spot
Hot List Triggers to Monitor four Segments
9/8/2015 25
New to the World: New records added to file that are sourced from
specific data providers with a start date in current or previous
calendar year; less than 250 employees (employees here and/or
employees total) and; not a branch.
New Legal Entity: New businesses that result from a merger, spin-
off, or other change in legal form.
New to File: New records added to file that are sourced from
specific data providers with an unverified start date or no start date
or new branch in file.
Ownership Changes: Recent change in ownership, i.e. a Successor
Report with year started in current or two previous calendar years.
CEO Changes: Change or addition of a CEO.
Company Name Changes: Change to a company name.
Address Changes: Change or addition of a street address.
Telephone Changes: Change or addition of a telephone number.
Changes in Customer Financial Performance as additional Triggers
9/8/2015 26
Changes in Customer Financial Performance as additional Triggers
9/8/2015 27
Our email/direct mail history “Appears” not to have focused on our “Sweet Spot” customer, yet Applications and Bookings are increasing
9/8/2015 28
Contacts 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 (blank) Total
A: 1-5 5 42 33 67 92 84 53 15 3 7 8 1,826 2,235
B: 6-10 8 5 13 31 19 8 3 1 6 94
C: 11-15 1 1 9 12 8 4 1 1 37
D: 15-20 1 3 4 2 3 2 3 18
E: 21 + 1 2 2 2 2 2 11
(blank) 5 5
Grand Total 6 55 39 95 139 116 69 23 5 14 8 1,831 2,400
Applications 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 (blank) Total
A: 1-5 1 8 7 23 38 33 24 8 4 13 8 23 190
B: 6-10 1 1 2
D: 15-20 1 1
MISSING,0 5 47 32 72 101 83 45 14 1,803 2,202
(blank) 5 5
Grand Total 6 55 39 95 139 116 69 23 5 14 8 1,831 2,400
App Status 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 (blank) Total
Approved, Not Booked 5 47 31 74 108 91 57 20 1 4 2 26 466
Booked 2 1 5 5 4 4 1 4 10 5 41
To be Booked 1 1
Grand Total 5 49 32 79 113 95 62 21 5 14 7 26 508
Sweet Spot Clients - Amounts Booked >$100K
Increasing Decreasing Increasing
Our email/direct mail IS increasing our Conversion Rates, after June of 2010
• More In Development
9/8/2015 29
Conv: Apps/Contacts 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 (blank) Total
A: 1-5 20% 19% 21% 34% 41% 39% 45% 53% 133% 186% 100% 1% 9%
B: 6-10 0% 0% 0% 0% 0% 0% 0% 100% 17% 2%
C: 11-15
D: 15-20 0% 0% 0% 0% 0% 0% 33% 6%
E: 21 +
(blank)
Grand Total
Conv: Bookings/Apps 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 (blank) Total
Grand Total 83% 89% 82% 83% 81% 82% 90% 91% 100% 100% 88% 1% 21%
Sweet Spot Clients - Amounts Booked >$100K Conversion Rates (App's/Contacts)
Sweet Spot Clients - Amounts Booked >$100K Conversion Rates (App's/Contacts)
IncreasingIncreasing @ Higher Rate
Can we use a true sequenced communication campaign strategy to manage and maximize business results- this related to the incubation
topic and the crude “nurturing “ spreadsheet
• In Development
• To be ready 5/9
• Contacts over time: EM Vs. DM
• No EM +DM Vs. EM+DM
• Optimum Frequency
• Optimum Mix
9/8/2015 30
Marlin Attributes and Source files Employed to Determine Segment Performance
9/8/2015 31
Attribute Clarification:SALES_VOLUME (IG)
total_sum (IG) From Contact file from June 2010, which is a portion of Amount Booked. Only good from start of Pre-Qual program 0610
Amount_Booked For each record, from PQ Apps file If 0 all but Booked, From Bus. Start
BOOKING_DATE_year From EU PQ Contracts for each contract, all life to date, includes 0610 forwardEQUIPMENT Cost From Contract File, equipment cost = Am't Booked
BOOKING_DATE_month From EU PQ Contracts for each contract, all life to date, includes 0610 fwd
Equipment_Financed Type of Equip
MANUFACTURING_INDICATOR D&B
STATE From Marlin
Total_Months_Booked Don't Use
Sic_Desc From Marlin
MINORITY_OWNED_INDICATOR (IG)
commercial_credit_score From Marlin
Total_Apps Since start of Pre-Qual program, (Not all have booked)
Employees (IG)
FICO (IG)
COTTAGE_INDICATOR (IG)
LINE_OF_BUSINESS (IG)
VETERAN_INDICATOR (IG)
PQ_remaining As of 0113 Qualified amount going forward, less booked 0113PUBLIC_PRIVATE_INDICATOR (IG)
PQ_Amount As of 0113 Qualified amount going forwardWOMEN_OWNED_INDICATOR (IG)
SMALL_BUSINESS_INDICATOR (IG)
YEAR_STARTED D&B
PRIMARY_SIC_DESCRIPTION D&B
BUS_STATUS_CODE_
Time_in_Bus From Marlin EU PQ Additional info - MONTHS
IMPORT_EXPORT_INDICATOR (IG)
App_Status From Marlin
_FREQ_ From Marlin
Total_Contacts From Marlin
Implementation Plan: Mid-July Goal
32
Within Scope of Implementation planBeyond Scope of implementation Plan Week Ending 3-May 10-May 17-May 24-May 31-May 7-Jun 14-Jun 21-Jun 28-Jun 5-Jul 12-Jul 19-Jul 26-Jul
Week # 1 2 3 4 5 6 7 8 9 10 11 12 13
Preparation of Target Bases:
Recent Contacts
Extract, Cleans/Screen, LoadPast Contacts Extract, Cleans/Screen, Load
Current Pipeline Extract, Cleans/Screen, Load
Definition of required:
Define/Test
Production
Define/Test
Production
Mapping of contacts to Agents
Recent Contacts
Inventory of current Marketing Collateral
Assessment of Existing, usable web Site(s), pages, links
Definition of existing and required Processes
Product Definition Updates Aged Lead incubation
Underwriting criteria Updates Contact plan
Prospect incubation Response Routing
Contact plan Businesss
Rules Draft Pipeline incubation
Content Development to - Contact Base w/n last 6 months
Emails Development, Reviews, Approvals
Splash PagesDevelopment, Reviews, Approvals
Emails Development, Reviews, Approvals
Splash PagesDevelopment, Reviews, Approvals
Links for email communications to Recent Contacts
Define
Build
Legal Review/Approval
Emails
Splash Pages
Web site Modifications
HTML Programming
Preparation of Pathways to Recent Contacts:
Recent Contacts Past Contacts Current Pipeline
Pathway #1 "Reaching Out"
Pathway #2 "About Your Situation"
Pathway #3 "Your Recent Review"
Pathway #4 "How can we enable you to reach your Objective"
Objective Setting
Draft
Final
Deliver document for internal communications
Strategy Development
Draft
Consensus
Pre-Implementation Internal test
External Test - Small group of Prior Contacts
Implementation
Performance Reporting
Design
Initial Reporting
24x7 Reporting
Lead Incubation Implementation Plan
Copy
Templates
Connectivity to Lead
management System
Connectivity to
Account origination
June
Businesss
Rules Draft
2Businesss
Rules Draft 1
May July