Intelli-Global Overview 051313

OverviewOverview
A l ti D i M k ti T ti tAnalytic-Driven Marketing Tactics to
Profitably Scale
May 2013
1

Intelli-Global – A Direct Marketing Services Agency
Company
– Founded in 1999– Founded in 1999
– Seasoned Executive Team: GE, Chase, Countrywide, Kabloom
– 45+ people with Proven Track Records in multi-channel analytics and
marketing
Performance-based Customer Base – over 200 clients
Consecutive years of Profitability
Investors
– Founder and C.E.O., Peter Harvey
Industries ServedIndustries Served
– Banking, Insurance, Healthcare, Retail, Travel, Consumer Products &
Services
2

Intelli-Global Differentiation
Intelli-Global’s marketing intelligence, advanced analytics and multi-channel
campaign services enable clients to continuously increase ROIcampaign services enable clients to continuously increase ROI
Data Source agnostic across: Demographic, Credit, Behavioral, Lifestyle,
attitudinal and transaction sources
Consumer
Business
Consumer – to Business - Link
Integration Engine from hygiene to longitudinal links of consumers andIntegration Engine, from hygiene to longitudinal links of consumers and
business, over time
Incubator approach to market concept testing, sizing and execution
Build/maintenance of proprietary marketing / analytic platforms forBuild/maintenance of proprietary marketing / analytic platforms for
advanced programs
“Beyond-the-envelope” behavioral and attitudinal personalization
24 x 7 web-based performance reporting
3

Our “Battle-Tested” Experience
Key Needs Capabilities
Building/
Delivery
Success
Tips
Recommend-
ations
+99% accuracy yr/yr 3rd Party: 3rd Party: Avoid Use only
Data Mgmt
+99% accuracy yr/yr
• Individuals
• Households
3rd Party:
• Hygiene
• Householding
3rd Party:
• Expertise
• Infrastructure
Avoid
“Scope Creep”
Use only
Experienced 3rd
party
Insight
Actionable, ROI-based:
• Models
V l P iti
Distributed:
• Count/Query
Mi i /M d li
100% data
available
At At i l l
Be data source
Agnostic
Focus on
interactions of data
• Value Propositions • Mining/Modeling At Atomic level
“Get”
Secure Maximum # of
individual and geo-level
variables
Accurate Screening:
• In Campaigns
• Out “
Individual & Geo-
level variables
refreshed monthly
Source-Specific
models and
segmentation
Avoid geo-level,
cluster and lifestyle
models
Ability to screen on: Follow customers Internalize basic Don’t attempt to Utilize 3rd party
“Grow”
Ability to screen on:
• Distressed Consumers
Follow customers
over time:
• Moves, splits, joins
Internalize basic
data into CRM:
• Birthdays
• Moves, Events
Don t attempt to
build custom
segmentation too
early
Utilize 3 party
segmentation. Stick
with it, don’t switch
RFM Data:
• External Transaction
Marketing spend
by:
Fully automated
“Hands off”
Focus on creating
two way
Find out where they
spend their on line
“Keep”
• External Transaction
• Internal Transactions
by:
• Cross-Client Profit
potential
Hands off
communications
two-way
dialogues
spend their on-line
time and Be There
Performance
Performance Metrics
within Corporate
B i R l
Profitability by:
• Client Company
S t
Direct, On-line
24 x 7, Vs.
Consistent:
• Business Rules
P f
Corporate Sets
Metrics
St d d R t
4
Business Rules • Segments
• Individuals, Geo’s
Vendor Reports • Performance
Calculations
Standard Reports
“Nowhere to hide”

Establishing a Single Objective, five core strategies and five tactics
per strategy – then an executable Marketing Plan
Core Strategies
Tactics
E
X
E
C
Objective
U
T
A
B
L
Direct to Consumer On-line
E
M
A
R
CPFL
Sponsorships/Events
K
E
T
I
N
Revenue
EBITDA
ROI
Brand Experience
N
G
P
L
A
Direct to Consumer Off-line
Broad Market Media
5
A
N
Broad Market Media

Advanced Objective Setting, I.e.
Revenue per Marketing Dollar = $12.09 and ROI of 1109%
Period
On-Line and
Off Line D to C Responders
Sales
Variable
Marketing Revenue
Marketing Cost
Marketing Cost
Per Sale
Marketing Cost as a %
Revenue/$ of
Marketing
Projected Multi-Channel Lead Generation, Sales & Financial Forecast
Period Off-Line D-to-C
Solicitations
Responders
(Cases)
Marketing
Costs
Revenue
Per Response
Per Sale
(Case)
of Revenue
Marketing
Expense
Jun-11 67,249 1,133 - 23,561$ $ - -$
Jul-11 134,498 4,574 275 30,622$ $ 98,870.71 6.69$ 111.50$ 31% 3.23$
Aug-11 168,123 7,454 347 34,153$ $ 124,827.37 4.58$ 98.50$ 27% 3.65$
Sep-11 201,747 9,221 971 37,683$ $ 349,732 4.09$ 38.79$ 11% 9.28$p
Oct-11 235,372 11,017 1,194 40,508$ $ 429,879 3.68$ 33.92$ 9% 10.61$
Nov-11 268,996 12,834 1,422 43,938$ $ 511,913 3.42$ 30.90$ 9% 11.65$
Dec-11 302,621 14,700 1,655 47,367$ $ 595,869 3.22$ 28.62$ 8% 12.58$
Jan-11 336,246 16,596 1,901 50,797$ $ 684,254 3.06$ 26.73$ 7% 13.47$
Feb-11 302,621 17,324 2,002 47,367$ $ 720,711 2.73$ 23.66$ 7% 15.22$
Mar-11 336 246 16 863 2 260 50 797$ $ 813 653 3 01$ 22 48$ 6% 16 02$Mar-11 336,246 16,863 2,260 50,797$ $ 813,653 3.01$ 22.48$ 6% 16.02$
Apr-11 369,870 18,819 2,223 54,227$ $ 800,435 2.88$ 24.39$ 7% 14.76$
May-11 403,495 20,805 2,492 57,656$ $ 897,293 2.77$ 23.13$ 6% 15.56$
Jun-11 470,744 23,439 2,850 64,516$ $ 1,026,162 2.75$ 22.63$ 6% 15.91$
Total: 3,597,828 174,779 19,593 583,193$ 7,053,598$ 3.34$ 29.76$ 8% 12.09$
Assumptions
Avg Sale size 360$
Loaded Cost per Solici $29.76
Avg. Response Rate 5.61%
ROI 1109.5% Avg. Conversion Rate 11.0%
Rev./$ of Marketing Expense 12.09$ Solicitations 3,597,828
Assumptions
6

Our Typical Working Relationship
Master Agreement Working Relationship
– Between Intellidyn and Client
Annual, non-exclusive
– SOW’s for each new project
– Local Account Management
– Weekly Deliverable tracking
– Monthly ½ day reviews
Scope as outlined on prior
pages would be 1st SOW
– Billing Monthly, net 30 days
y y
– Qtrly full day strategy &
performance reviews
Proprietary Marketing
– Fixed retainers for:
Account Mgmt
Marketing Database
Proprietary Marketing
Database
Accessible by Client Team
Analytic Services
Variable costs based on
campaign projections
All models, code etc.
owned by Client
7

Approach to Marketing Database Sophistication: We
build it, You bring it in-house if/when ready
1.) Immediate analytics and market entry
Campaign Plan
Integrate into Nat’l Base
Build Target Universe
Score/Select
Cli t All ti
2 ) “Fast Track” Marketing Database (within 3 months)
Client Allocation
Campaign Launches
Master File Build
Data Sourcing/mapping
Patterning
Business Rules
Marketing Access
• Queries/counts Power User Access
2.) Fast Track Marketing Database (within 3 months)
Business Rules
System Installation
File Structure
Query/Report Def.
Queries/counts
• Campaign planning
• Results tracking
• Stand. reporting
• Ad-hoc queries
• Real time access
• Anal. & Model Dev.
• Campaign Base Dev.
8
3-4 months 5-7 months 7-9 months

A continuous behavioral view of Consumers
200M individuals, sourced from:
Acxiom, Experian, Epsilon, others
• Demographics, Spending, Preferences, other
Lif t l & t ti d• Life style & segmentation codes
• Updated Monthly
200M individuals On-Line Behavior
•Site visits ISP’s Frequency Intervals times-of-day Updated Monthly
•Over 1,500 data elements (Credit,
Demographic, Property, Purchase
Transactions)
 I t t d thl d d d
•Site visits, ISP s, Frequency, Intervals, times-of-day
• Life style & segmentation codes
200M individuals Credit Bureau Data
Media Preferences
• Simmons
 Integrated monthly and on demand
 Unique ID’s at the: Constant over time
 Household Level
 Individual “
• 60 demographics
• 313 credit variables
100M individuals Real Estate (Deed) Data
•Lender, Rate, loan type
• Simmons
•Scarborough
 Address “
 “Net / Net” arrangements to clients
• Three years of history on-line
All l t il bl f l i
9
Lender, Rate, loan type
•Current Home Value, etc.
• All elements available for analysis

24 x 7 Campaign Execution and Performance Reporting
Marketing Database
Prospect Response &
Privacy Requests
Demographic Prospects
National Data Sources
Social
MediaMarketing Database
Data Integration
Address Correction and
Validation
Model Scoring
Integrated:
Data Mining
Targeting
Response AnalysisPurchase
Life Style
Prospects Local Marketing
Media
Model Scoring
Suppressions
Prospect Screening
Prospect Allocation:
Response Analysis
Statistical Modeling
Contact Mgmt
Segmentation
Purchase
Behavior Prospects
Vertical
Lists Prospects
Inbound
Internet
Intelligent Consumer Information
Lists Prospects
Direct Mail
External
Requests/Rules
• Management • Analysis • Marketing Execution
Profit
Product
Management Campaign
M t
Recycling
Lead Incubation
10
Optimization
Management

Leveraging Consumer Spending & Attitudes
Scarborough Insurance Spending Category Types
Auto insurance provider for household (HHLD) 7 Carriers
Homeowners/renters insurance provider for household (HHLD 6 Carriers
Employment Decisions 17 types
Group Insurance 7 Carriers
G I di id l I 7 C i
Relevant
Spending
within 3,950Group or Individual Insurance 7 Carriers
Individual Insurance 7 Carriers
Health Insurance 8 Types
Medical Services 6 Types
Medical Services at Hospital 8 Types
Medical Services at other medical facility 8 Types
within 3,950
available
responses
MRI Spending Category Sub Category Attitude Types & Levels
Advertising Attitudes 28 opinion types
Interest in Internet 26 opinion types
Interest in Magazines 82 Publication Types types
I t t i 26 i i t
Medical Services at other medical facility 8 Types
RelevantInterest in newspapers 26 opinion types
Interest in Yellow Pages 3 opinion types
Interest in Radio 26 opinion types
Interest in TV 26 opinion types
Consumer Expenditures 150 types by level of expenditure
Consumer Products 136 types by usage level
Health & Beauty 27 types by usage level
Advertising
Consumer Products & Purchases
Attitudes
within 8,400
available
responsesHealth & Beauty 27 types by usage level
Pets 28 types by usage level
23 Auto other vehicle
32 Homeowners
33 Life
17 Medical
11 Other
InsuranceBanking-Finance-Insurance
p
11
Ot e
39 Ailments & Remedies
24 Doctor visits by type
MedicalHealthcare

Mortgage-Specific Customer Acquisition Models
Yesterday’s point in time variables
Demographic
N b f d lt i H h ld
Real Estate
P t M t
Investments
Annuities
Client’s BrandNumber of adults in Household
Mail Order Donor
Body Size of newest car
Level of education
Market Value Decile
Past Mortgages
Mortgage Amount
LTV
Home Value
Interest Rate
M t T
Annuities
Bonds
Certificate Of Deposit
IRA's/401K’s
Money Market Funds
Mutual Funds
Client’s Brand
is the sum of
its customers
Property type by detail
Loan To Value Range
Mortgage Type
Open Date
Savings Account
Stocks
Today’s transaction behavior over time
experience
y
Response to Broad Market Media X X X
Response to Direct mail X X
# of VRU Inquiries
Months
Freq. of Web site visits (by type of visit)
Services X X
Product information X X X X X
Balance Inquiry X
12
0 1 2 3 4 5 6
Balance Inquiry X

Dynamic Refinance Targeting Models
Decile
Cumulative
# of
Prospects
Cumulative
# of
Responders
Cumulative
Response
Rate
Cumulative
% of
Responders
Cumulative
% of
Prospects
Cumulative
Lift
1 394,592 2,576 0.653% 20.5% 8.8% 234
Consumer Experience Model
2 813,758 4,453 0.547% 35.5% 18.1% 196
3 1,250,421 6,026 0.482% 48.0% 27.8% 173
4 1,696,783 7,376 0.435% 58.8% 37.7% 156
5 2,158,901 8,566 0.397% 68.2% 48.0% 142
6 2,631,539 9,703 0.369% 77.3% 58.5% 132
7 3,076,999 10,585 0.344% 84.3% 68.4% 123
8 3 546 327 11 370 0 321% 90 6% 78 8% 1158 3,546,327 11,370 0.321% 90.6% 78.8% 115
9 4,022,636 12,051 0.300% 96.0% 89.4% 107
10 4,500,465 12,552 0.279% 100.0% 100.0% 100
LIFTWith Time Series variables
L
Change in balance of all mortgage accounts - Current and 4 mths prior
# of currently active bankcard accounts - Current and 4 mths prior
# Personal finance inquiries - Current and 2 mths prior
LIFTWith Time Series variables
# of months since oldest upscale retail account opened
Ratio of Current and 2 mths prior months since most recent trade opened
Ratio Between Current and 2 mths prior # of accounts with delinquency of 30 days
Ratio Between Current and 2 mths prior # Open rev bank trades with hc/cl > 5000
13

Increasing Refinance Targeting Sophistication
over Time Profit optimization
t
Screen Sophistication
Offer
Validation Gains Chart for
CONTI/RESP
0.2
0.4
0.6
0.8
1
1.2
Model
Random
Regional Screens
time
Offer
Model
CONTI/RESP
0.8
1
1.2
0
1 2 3 4 5 6 7 8 9 10 11
Response Model
Screen
Refinement
Regional Screens
Offer Optimization
CONTI/RESP
1
1.2
0
0.2
0.4
0.6
1 2 3 4 5 6 7 8 9 10 11
Model
Random
Generic Models
Regional Channel PreferencesC i M d l
Models by Source Data
0
0.2
0.4
0.6
0.8
1 2 3 4 5 6 7 8 9 10 11
Model
Random
CONTI/RESP
0.2
0.4
0.6
0.8
1
1.2
Model
Random
Models
Channel Preferences
CONTI/RESP
0 6
0.8
1
1.2
Model
Conversion Model
0
1 2 3 4 5 6 7 8 9 10 11
CONTI/RESP
0.6
0.8
1
1.2
Model
Random
Attitudinal
Model
Trigger Event lists
0
0.2
0.4
0.6
1 2 3 4 5 6 7 8 9 10 11
Random
Timing Predictors
14
0
0.2
0.4
1 2 3 4 5 6 7 8 9 10 11
Random

Targeting - Refinance Behavior Models
2012 Vs. 2011 Results
Intelli-Global 2010 2009 *Diff. ‘12 Vs.‘11
Name & Address match by Wave 1 2 3 4 Total % Conversion
Waves
Name & Address match by Wave 1 2 3 4 Total % Conversion
Solicitations 112,996 295,006 313,617 127,069 848,688 1,181,780 333,092
DM Responders 1,203 1,393 907 455 3,958 0.47% NA NA
Leads 848 940 1,162 659 3,609 91% 4,082 509
Enrollees 323 308 485 321 1,437 40% 1025 412
Lead Rate (Leads/Sol.) 0.75% 0.32% 0.37% 0.52% 0.54% 0.35% 54.3%
Enroll Rate (Enroll/Sol.) 0.29% 0.10% 0.15% 0.25% 0.17% 0.09% 88.9%
Assigned to source by Name
and Address Match, post mail
drop date and lead date
Enroll Rate (Enroll/Sol.) 0.29% 0.10% 0.15% 0.25% 0.17% 0.09% 88.9%
2013 Model and Targeting
Refinement
2013 Messaging to Behavioral
Segments
New Behavioral model based
on 2012 campaigns
Tightening screen criteria
Speaking to each
targets “Personal
Credit Situation”g g
Re-solicitation to top deciles
Targeting “Hot” and avoiding
“Cold” Zones”
Credit Situation
“Active Vs. Inactive”
lifestyles
15
Cold Zones lifestyles

Marketing Tactics Driving Success:
The “Frontier”
• Social Media reaching “Critical Mass”Social Media reaching Critical Mass
• Across the 30 – 60 age households
• The “Kernel-to-Popcorn” effect of Social Media
• Emerging “Key Influencers” within Social Networks
• The expanded sharing of Cookie Behavior
M di A ’ d A t ti• Media across App’s, and App transactions
• Geo-locators and instant messaging
Consumer’s Bottom Line:
You want my business? Demonstrate that you “KNOW ME”
16

Marketing at The “Frontier”
• Avoid a single data-source relationship
• Don’t depend on data vendors to provide advanced insight or strategiesp p g g
• Avoid “Look Alike” models and focus on Behavioral models
• Don’t use Just Screens, or Just Models. Use BothDon t use Just Screens, or Just Models. Use Both
• Direct Mail still has best “Reach Factor” and #1 Targeting capability
Y il t t t t th b f i On Line di l• You mail to get prospects to the web for ongoing On-Line dialogue
• Once On-line, turn “Push” Marketing into two-way Dialogues
• Identify Trigger events:
• Communicate Before, At and After Trigger events
17
• Deploy test and instant messaging, based on segment adoption

Consumers NeedsConsumers Needs:: UnderstandingUnderstanding All of the Effects ofAll of the Effects of
broad market media or paid searchbroad market media or paid search that drivethat drive ROIROI
The following effects were taken into account :
 Day of Week
 Lagg
 Time of Day
 Station
 Significant multi‐colinearity between stations
35,000
40,000
45,000
s
Real Model
15,000
20,000
25,000
30,000
aily Searche
0
5,000
10,000
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Da
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Intelli “DNA” & “CPR” Driving Value Propositions
ISH
RONI
“DNA” CPR: Each Product CPR: Summary
Higher score = Best Fit Product for each consumer5 6
UNIQUE_ID
NAME
T_PERS_AGE
T_PERS_LANGUAGE_SPAN
T_PERS_HANDICAPPED
T_FAM_PARENT_TEEN
T_REGION_STATE
T_PERS_GENDER
COLL_ART
HOME_DECORATION
TECH_COMPUTER_ELECTR
extra_sum_of_touchpoints
SCORE_PROD_1
TOUCH_PROD_1
SCORE_PROD_2
TOUCH_PROD_2
SCORE_PROD_70
TOUCH_PROD_70
SCORE_PROD_652
TOUCH_PROD_652
SCORE_PROD_653
TOUCH_PROD_653
MAX_SCORE
TOP_PROD_1
TOP_PROD_2
TOP_PROD_3
TOP_TOUCH_1
best_prod
best_touch
MYP5000260
DAREN E
EROH 34 0 0 0 MA M 1 1 0 24 3
15;32;
35; 1 15; 6
42;69;
73;75;
78; 0 0 6
070;
149; 242;
156;163;171;203;535;538;
543;547;
42;69;73;
75;78;11;
78;81;83;
070;149;
242;156;
163;535;
42;69;
73;75;
78;
MYP5000287
SCOTT M
RIVELA 42 1 0 1 MA M 0 1 0 30 4
15;17;
32;35; 1 15; 4
42;75;
78; 3
43;57;
87; 2 43;57; 6 430; 151;156;
001;070;153;158;161;163;
166;171;242;452;539;547;
569;610; 1;5;52;
430;151;
156;166;
171;547;
1;5;52;
15;17;
DAVID 15;28;
42;69;
73;75; 11;78;79;
149;070;
161;163;
11;78;
79;81;
MYP5000374
DAVID
SARAIVA 32 0 0 0 MA M 0 0 1 35 2 15;32; 3
15;28;
29; 6
73;75;
78; 1 57; 1 57; 7 149; 070; 161;163;203;
11;78;79;
81;83;
161;163;
203;186;
79;81;
83;
001;005;056;057;085;095;
103;149;151;153;157;160;
161;162;163;172;174;175;
182;202;207;216;241;244;
245;247;271;272;274;276;
313;315;329;330;335;339;
340;345;347;348;349;350;
42;73;75;
78;35;54;
60;88;35;
MYP5000445
NORMAND
M
ROUILLARD 50 0 0 0 MA M 1 0 0 30 3
15;32;
35; 1 15; 5
42;73;
75;78; 2 43;57; 2 43;57; 5
070;
242;
516;
538;
539;
547;
569;
634;
068;069;
156;166;
183;203;
235;273;
467;513;
535;541;
543;582;
351;352;353;361;376;380;
382;399;402;432;433;446;
449;450;483;484;494;495;
497;499;500;505;508;509;
519;528;532;533;537;542;
546;548;549;550;564;565;
585;588;589;593;602;603;
608;617;623;624;633;636;
637;640;644;
54;57;60;
35;42;54;
73;33;35;
56;60;32;
33;35;41;
42;33;46;
57;75;42;
43;54;57;
60;
070;242;
538;539;
547;569;
42;73;
75;78;
35;
151;153;158;160;162;166;
171;183;186;203;204;273;
19
MYP5000460
ROGER S
MESSIER 64 0 0 0 MA M 0 0 0 48 4
15;19;
32;35; 2 15;19; 6
42;69;
73;75;
78; 2 43;57; 2 43;57; 7 149;
070;150;
156;161;
163;242;
292;
; ; ; ; ; ;
288;293;294;299;300;301;
305;306;307;308;309;310;
311;513;516;535;539;547;
569;
11;78;79;
81;83;
149;070;
150;161;
163;242;
11;78;
79;81;
83;

Intelli 1-to-1 Personalization
Personalized Products Offer with CPR Touch Points Generic Offer for Control Group
Name
7
Touch
Name
Points for
Top-6
Magazines
Category
f T 1for Top-1
Magazine
Top-6
M iMagazines
by CPR
20

Your customers are where you build your Brand
Your Brand is the Summation of each Contacts
Experience
Understand where your customers are spendingy p g
their on-line time and why
Assume customers are on-line more than you are
aware, regardless of age. Age determines Which on-
line channel
Identify the “Key Influencers” across your customers
– Leverage Social Media so each becomes your best
Omnibudsman
21
Omnibudsman

Target Consumer
Intelli-Reach
Initial One‐way
Communications
that evolve into
Two‐way dialogue
*Business ImpactMarketing Evolution
Cross Media Marketing
il i ll
*3 ‐10X
at half the
cost
Multi‐Channel Marketing
email
SMS RSS
print
WEB
store call center
Highly personalized programs across multiple
di t i l di il di t il h *1 ‐2X
*3 ‐ 5X
Database Marketing
media types, including email, direct mail, phone,
Banners, Display adds, personalized web pages,
text messaging (SMS), call center routing and web
feeds (RSS)
– Implemented in stages of sophistication Varies
1 2X
Target (Event) Marketing
Implemented in stages of sophistication
– Incremental ROI at each stage
– Determining each consumers:
• Channel preference
• Attention span by Media
Varies
Mass‐Marketing
22
p y
• Triggers to transact
• Media attention periods

Touch Point – Based Marketing
GROUP # TOUCH POINT GROUP # TOUCH POINT GROUP # TOUCH POINT
TARGET_PERSON 1 T_PERS_LANGUAGE_SPANISH ANIMALS 28 ANIM_PET ANTIQUES_&_COLLECTIBLES 62 COLL_ART
2 T_PERS_HANDICAPPED 29 ANIM_DOG 63 COLL_COINS_STAMPS
3 T_PERS_DIABETES 30 ANIM_CAT 64 COLL_ANTIQUES
TARGET_NATIONALITY 4 T_NAT_AMERICAN_INDIAN 31 ANIM_BIRD 65 COLL_DOLLS_TOYS
“You-Are” Touch Points “You-Are-Interested-In” Touch Points
5 T_NAT_LATINO_HISPANIC OUTDOOR 32 O_OUTDOOR 66 COLL_GUN_KNIFE
6 T_NAT_AFRICAN_AMERICAN 33 O_TRAVEL 67 COLL_VEHICLES_OLD
TARGET_OCCUPATION 7 T_OCC_AGRICULTURE 34 O_TRAVEL_CRUISE 68 COLL_SPORT
8 T_OCC_WRITER SPORT 35 S_SPORT AUTO_MOTO 69 AUTO_TRUCKS
9 T_OCC_HEALTH_PROFESS 36 S_HUNTING 70 AUTO_RV_MOTORHOME
10 T_OCC_TEACHER 37 S_FISHING 71 AUTO_RACING
11 T_OCC_IT_PROFESS 38 S_GOLF 72 AUTO_MOTORCYCLE
12 T_OCC_UPSCALE_EXECUTIVE 39 S_SKI_SNOWBOARD_SKATE 73 AUTO_VEHICLES_OTHER
13 T_OCC_SALES_MARKETING 40 S_BOATING_SAILING 74 AUTO_VEHICLES_MILITARY
14 T_OCC_BEAUTY_PROFESS 41 S_CAMPING_HIKING_BIKING HOME 75 HOME_IMPROVEMENT
TARGET_FAMILY_STATUS 15 T_FAM_PARENT HEALTH 42 HEALTH_FITNESS_WELLNESS 76 HOME_DO_IT_YOURSELFERS
16 T_FAM_PARENT_DAUGHTER 43 HEALTH_DIETING_WEIGHT 77 HOME_DECORATION
17 T_FAM_PARENT_TEEN 44 HEALTH_DIABETES TECHNO 78 TECH_COMPUTER_ELECTRONIC
18 T_FAM_PARENT_BABY HOBBY 45 HOB_FARM_AGRICULTURE 79 TECH_SOFTWARE
19 T_FAM_GRANDPARENT 46 HOB_GARDEN_BLOOM_PLANT 80 TECH_ELECTRONIC_GAMES
TARGET_RELIGION 20 T_RELIGION_CHRISTIAN 47 HOB_NATURE_WILD_LIFE 81 TECH_WEB
21 T RELIGION CATHOLIC 48 HOB CRAFT 82 TECH SCIENCE21 T_RELIGION_CATHOLIC 48 HOB_CRAFT 82 TECH_SCIENCE
EVENTS_PERSONAL 22 EP_GRADUATION_NEWJOB 49 HOB_KNITTING_SEWING 83 TECH_TECHNOLOGY
23 EP_NEW_HOME 50 HOB_PHOTO BUSINESS 84 BUS_BUSINESS_FINANCE
24 EP_WEDDING 51 HOB_GAMES 85 BUS_SMALL_BUSINESS
25 EP_PREGNANCY_EXPECTPARENT 52 HOB_READING 86 BUS_INVESTMENT
26 EP_NEW_PARENT 53 HOB_GAMBLING 87 BUS_CAREER
27 EP_RETIREMENT 54 HOB_TV_ENTERTAINMENT SOCIAL 88 SOC_POLITICS
55 HOB_MUSIC_RECORDS 89 SOC_NEWS
56 HOB VIDEO MOVIE 90 SOC EDUCATION56 HOB_VIDEO_MOVIE 90 SOC_EDUCATION
57 HOB_FOOD_COOKING 91 SOC_MILITARY_ARMY
58 HOB_WINE
59 HOB_JEWELRY
60 HOB_FASHION
61 HOB_GIFT
23

Consumers with specific profiles and the with highestConsumers with specific profiles and the with highest
levels oflevels of Social Media activitySocial Media activity,, they are yourthey are your “Key Influencers”
359 657 95 510 172 477 197 8 582 71 638 195 47 228 12 31
101thingstodo123greetings.c103092804.com247realmedia 123inkjets.com1wrsurvey.com2010censusjobaol.com 101bank.com addthis.com 15kprofits.com247realmedia. 53riverbankrun247realmedia. cellfire.com 247realmedia.c
1x12.net 24hourfitness 247realmedia 2cpa.com abmr.net 247realmedia 247realmedia atwola.com 103092804.comallure.com 1ordersys.comabbott.com aarp.org 33across.com consumerrepoaddynamix.com
All consumers in Neighborhood #1, 3 Months of Web Activity, by Total # of: Site Visits, Ad‐words, Etc.)
247realmedia 3dvia.com aarons.com 302br.net adblade.com 302br.net 302br.net bluelithium 181st.net allureexperts.c1shoppingcart abercrombie.caddynamix.coma9.com coupons.com adecn.com
a9.com 5star‐sharewaaaronselectro 4adventure.coadecn.com a9.com a9.com ebay.com 1stsource.comavg.com 247realmedia. adblade.com adecn.com about.com engineguarantadfusion.com
aarpmembers9gag.com abmr.net a9.com adsonar.com aa.com aarp.org iolo.com 1stsourceonlinaweber.com 302br.net adbrite.com adsonar.com adblade.com freekibblekat. adsonar.com
abmr.net aarp.com adecn.com abmr.net akamai.net aavacations.coabmr.net mediaplex.c1stsourceonlinbedbathandbe32red.com adbureau.net allegiantair.co addresses.comjuno.com advertising.com
acnielsenonlinaarp.org adfusion.com about.com alliancehealthabmr.net accesshollywoyahoo.com 247realmedia. belloiris.com 33across.com adchemy.com atdmt.com addthis.com shoprite.com atdmt.com
acop.com aarpmembersadlegend.comabsoluteshakeanrdoezrs.netabout.com accuratelocalwyieldmanage302br.net biglots.com 3stephomebiz addthis.com bestwestern.caddynamix.comstaples.com bluekai.com
Friends %
0 2 91
acurian.com abalith.com adnxs.com adblade.com answers.com acbl.org adblade.com 33across.com bjs.com 4feedback.netaddynamix.combluekai.com adecn.com state.nj.us crwdcntrl.net
addynamix.coabbyy.com advertising.coadbureau.net apmebf.com acnielsenonlinadbrite.com 411.com cbomc.com 4research.net adecn.com carrentals.comadfusion.com sunnbnj.com doubleclick.ne
adecn.com abbyyusa.comalabama.traveadchemy.comask.com adblade.com adecn.com 4tube.com childrensplace500in15.com adfusion.com cov.com adobe.com walmart.com exelator.com
adfusion.com abc.com alleghenypowadecn.com atdmt.com adbrite.com adfusion.com 50states.com chitika.net 6pm.com adlink.net craigslist.org adshuffle.comyahoo.com fimserve.com
adnxs.com about.com amgdgt.com adfrontiers.coatwola.com adbureau.net admeld.com a3urbanmusic.consumerinpu8startsuccessnadnxs.com daveramsey.coadsonar.com gslb.com
adsonar.com aboutlizzie.coaol.com adfusion.com avenue.com adecn.com adshuffle.com a9.com criteo.com a4dtracker.comadsonar.com delta.com adtechus.com juno.com
0 2.91
1‐9 11.05
1‐49 13.71
50‐99 15.05
100‐149 12.5
Key
Influ‐
advertising.coaccessacs.comapmebf.com admeld.com avon.com adfrontiers.coadsonar.com aafp.org dealofday.coma9.com adultfriendfinddoubleclick.neadvertising.com match.com
advisorypanelacop.com ask.com adnxs.com bidcactus.comadfusion.com advertising.com about.com dilards.com aavalue.com advertising.co frontierairline aeroperform.com mookie1.com
affinnova.comactressarchiveatdmt.com adobe.com bidsauce.comadmarketplaceallbusiness.com acclaimimagesdillards.com abcdefgfree.coallretailjobs.cogoogle.com aerotechlou.com nexac.com
alibris.com acuriantrials.cbestbuy.com adsfac.us bing.com adnxs.com alot.com acephotos.orgdisneystore.coabmr.net amazon.ca hotwire.com aircraftspruce.com optmd.com
alliancehealthadbureau.net bluelithium.coadshuffle.comblogspot.com adsfac.us amazon.com aceshowbiz.codooney.com about.com amgdgt.com juno.com airnav.com pubmatic.com
amazon.com addthis.com bridgetrack.coadsonar.com bluekai.com adshuffle.comamazonpaint.com aclasscelebs.codotomi.com accountnow.coandrogel.com liveglutenfreeallbookstores.com questionmarke
150‐199 9.54
200‐399 22.15
400‐499 6.07
500+ 6.03
encers
g p g g q
annmariemckeadobe.com burstdirectadsadspeed.net c21.com adsonar.com americangirl.com adblade.com doubleclick.neacespalace.comapple.com loyaltypath.co alphadictionary.com realmedia.com
anrdoezrs.netadtechus.comclickbank.net advertising.coc21agentemaiadtechus.comask.com adbrite.com doubledaybooacuriantrials.coatdmt.com mapquest.comamazon.com serving‐sys.com
aol.com advertising.cocpxinteractiveaggregateknowcarcomplaintsadvertising.coatdmt.com addthis.com emitations.comadap.tv atwola.com match.com ameritrade.com trafficmp.com
apmebf.com aglabs.com custhelp.com aipsurveys.co careerbuilder aetna.com atwola.com adecn.com experion‐appsadbureau.net auctiva.com mayoclinic.comancestry.com tribalfusion.co
arthritisconneakamai.net dartsearch.ne allears.net carrotink.comairfarewatchdbid‐2‐buy.com adfusion.com facebook.com adchemy.com avemariasong.mayoclinic.organniesattic.com turn.com
atdmt.com albertsons.comdolliecrave.coallposters.comcarsurvey.org alaskaair.com bing.com adgoto.com farmville.com adecn.com avon.com minorleaguebaaol.com untd.com
24
p y g g g g
att.com albertsonsma dotomi.com alot.com cashloanproviallenpress.combirchcouleearena.com adjug.com fastbrowserse adf01.net belcantosocietnexac.com aquasana.com usmint.gov
avon.com aldifoods.comdoubleclick.neamazon.com cc‐dt.com alltheservicesbit.ly adleaf.com fbcdn.net adfusion.com bestbuy.com offers.com ask.com verizon.com

Our Accountability to Each ClientOur Accountability to Each Client
Analytics
StatisticianA t M
Quarte
A
Team:
Client
Intelli-Global
Analytic Team
StatisticianAcct Mgr
erlyPerfo
Assessme
Team:
Marketing Director
Business Analyst
ormance
ent
Others
Quarterly, each client’s assessment of our performance
determines the team’s compensation
25
determines the team s compensation

Intelli-Global Overview 051313

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Intelli-Global Overview 051313