Overview Overview A l ti Di M k ti T ti t Analytic-Driven Marketing T actics to Profitably Scale May 2013 1
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
marketingPerformance-based Customer Base – over 200 clientsConsecutive 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
ConsumerBusinessConsumer – to Business - Link
Integration Engine from hygiene to longitudinal links of consumers and Integration Engine, from hygiene to longitudinal links of consumers and business, over timeIncubator approach to market concept testing, sizing and executionBuild/maintenance of proprietary marketing / analytic platforms for Build/maintenance of proprietary marketing / analytic platforms foradvanced programs“Beyond-the-envelope” behavioral and attitudinal personalization24 x 7 web-based performance reporting
3
Our “Battle-Tested” Experience
Key Needs Capabilities Building/Delivery
SuccessTips
Recommend-ations
+99% accuracy yr/yr 3rd Party: 3rd Party: Avoid Use onlyData Mgmt
+99% accuracy yr/yr• Individuals• Households
3rd Party:• Hygiene• Householding
3rd Party:• Expertise• Infrastructure
Avoid“Scope Creep”
Use only Experienced 3rd
party
InsightActionable, ROI-based:• Models
V l P iti
Distributed:• Count/Query
Mi i /M d li
100% dataavailable
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 Transactionsby:• 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-line24 x 7, Vs.
Consistent:• Business Rules
P f
Corporate Sets MetricsSt 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
TacticsE
X
E
C
Objective
U
T
A
B
L
Direct to Consumer On-line
E
M
A
RCPFL
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 = $12.09 and ROI of 1109%
PeriodOn-Line and
Off Line D to C Responders Sales Variable Marketing Revenue Marketing Cost Marketing Cost
Per Sale Marketing Cost as a % Revenue/$ 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$ pOct-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$
AssumptionsAvg Sale size 360$ Loaded Cost per Solici $29.76Avg. Response Rate 5.61%
ROI 1109.5% Avg. Conversion Rate 11.0%Rev./$ 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 MgmtMarketing Database
Proprietary Marketing DatabaseAccessible by Client Team
Analytic ServicesVariable 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 PlanIntegrate 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 BuildData Sourcing/mappingPatterningBusiness Rules
Marketing Access• Queries/counts Power User Access
2.) Fast Track Marketing Database (within 3 months)
Business RulesSystem Installation File StructureQuery/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 Monthly200M 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
SocialMediaMarketing 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
InboundInternet
Intelligent Consumer Information
Lists Prospects
Direct MailExternal
Requests/Rules
• Management • Analysis • Marketing Execution
Profit
Product
Management Campaign
M t
Recycling
Lead Incubation
10
OptimizationManagement
Leveraging Consumer Spending & Attitudes
Scarborough Insurance Spending Category TypesAuto insurance provider for household (HHLD) 7 CarriersHomeowners/renters insurance provider for household (HHLD 6 CarriersEmployment Decisions 17 typesGroup Insurance 7 CarriersG I di id l I 7 C i
Relevant Spending within 3,950Group or Individual Insurance 7 Carriers
Individual Insurance 7 CarriersHealth Insurance 8 TypesMedical Services 6 TypesMedical Services at Hospital 8 TypesMedical Services at other medical facility 8 Types
within 3,950 available responses
MRI Spending Category Sub Category Attitude Types & LevelsAdvertising Attitudes 28 opinion types
Interest in Internet 26 opinion typesInterest in Magazines 82 Publication Types typesI t t i 26 i i t
Medical Services at other medical facility 8 Types
Relevant Interest in newspapers 26 opinion typesInterest in Yellow Pages 3 opinion typesInterest in Radio 26 opinion typesInterest in TV 26 opinion typesConsumer Expenditures 150 types by level of expenditureConsumer Products 136 types by usage levelHealth & 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 level23 Auto other vehicle32 Homeowners33 Life17 Medical11 Other
InsuranceBanking-Finance-Insurance
p
11
Ot e39 Ailments & Remedies24 Doctor visits by type
MedicalHealthcare
Mortgage-Specific Customer Acquisition Models
Yesterday’s point in time variablesDemographic
N b f d lt i H h ldReal Estate
P t M tInvestments
Annuities Client’s BrandNumber of adults in HouseholdMail Order DonorBody Size of newest carLevel of educationMarket Value Decile
Past MortgagesMortgage AmountLTVHome ValueInterest RateM t T
AnnuitiesBondsCertificate Of DepositIRA's/401K’sMoney Market FundsMutual Funds
Client’s Brand is the sum of its customers
Property type by detailLoan To Value Range
Mortgage TypeOpen Date
Savings AccountStocks
Today’s transaction behavior over time
experience
yResponse to Broad Market Media X X XResponse to Direct mail X X# of VRU Inquiries
Months
Freq. of Web site visits (by type of visit)Services X XProduct information X X X X XBalance Inquiry X
12
0 1 2 3 4 5 6Balance Inquiry X
Dynamic Refinance Targeting Models
Decile
Cumulative # of
Prospects
Cumulative # of
Responders
Cumulative Response
Rate
Cumulative % of
Responders
Cumulative % of
ProspectsCumulative
Lift1 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% 1963 1,250,421 6,026 0.482% 48.0% 27.8% 1734 1,696,783 7,376 0.435% 58.8% 37.7% 1565 2,158,901 8,566 0.397% 68.2% 48.0% 1426 2,631,539 9,703 0.369% 77.3% 58.5% 1327 3,076,999 10,585 0.344% 84.3% 68.4% 1238 3 546 327 11 370 0 321% 90 6% 78 8% 1158 3,546,327 11,370 0.321% 90.6% 78.8% 1159 4,022,636 12,051 0.300% 96.0% 89.4% 10710 4,500,465 12,552 0.279% 100.0% 100.0% 100
LIFTWith Time Series variables
LChange 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 daysRatio Between Current and 2 mths prior # Open rev bank trades with hc/cl > 5000
13
Increasing Refinance Targeting Sophistication over Time Profit optimization
tScreen Sophistication
Offer
Validation Gains Chart for CONTI/RESP
0.2
0.4
0.6
0.8
1
1.2
ModelRandom
Regional Screens
time
OfferModel
Validation Gains Chart for CONTI/RESP
0.8
1
1.2
01 2 3 4 5 6 7 8 9 10 11
Response Model Screen
Refinement
Regional ScreensOffer Optimization
Validation Gains Chart for CONTI/RESP
1
1.2
0
0.2
0.4
0.6
1 2 3 4 5 6 7 8 9 10 11
ModelRandom
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
ModelRandom
Validation Gains Chart for CONTI/RESP
0.2
0.4
0.6
0.8
1
1.2
ModelRandom
ModelsChannel Preferences
Validation Gains Chart for CONTI/RESP
0 6
0.8
1
1.2
Model
Conversion Model
01 2 3 4 5 6 7 8 9 10 11
Validation Gains Chart for CONTI/RESP
0.6
0.8
1
1.2
ModelRandom
Attitudinal Model
Trigger Event lists0
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 ResultsIntelli-Global 2010 2009 *Diff. ‘12 Vs.‘11Name & Address match by Wave 1 2 3 4 Total % Conversion
WavesName & Address match by Wave 1 2 3 4 Total % ConversionSolicitations 112,996 295,006 313,617 127,069 848,688 1,181,780 333,092DM Responders 1,203 1,393 907 455 3,958 0.47% NA NALeads 848 940 1,162 659 3,609 91% 4,082 509Enrollees 323 308 485 321 1,437 40% 1025 412Lead 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 campaignsTightening screen criteria
Speaking to each targets “Personal Credit Situation”g g
Re-solicitation to top decilesTargeting “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: : Understanding Understanding All of the Effects of All of the Effects of broad market media or paid search broad market media or paid search that drive that 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
/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0/201
0
Da
18
5/1/
5/2/
5/3/
5/4/
5/5/
5/6/
5/7/
5/8/
5/9/
5/10
/5/11
/5/12
/5/13
/5/14
/5/15
/5/16
/5/17
/5/18
/5/19
/5/20
/5/21
/5/22
/5/23
/5/24
/5/25
/5/26
/5/27
/5/28
/5/29
/5/30
/5/31
/6/1/
6/2/
6/3/
6/4/
6/5/
6/6/
6/7/
6/8/
6/9/
6/10
/6/11
/6/12
/6/13
/6/14
/6/15
/6/16
/6/17
/6/18
/6/19
/6/20
/6/21
/6/22
/6/23
/6/24
/6/25
/6/26
/6/27
/6/28
/6/29
/6/30
/7/1/
7/2/
7/3/
7/4/
7/5/
7/6/
7/7/
7/8/
7/9/
7/10
/7/11
/7/12
/7/13
/7/14
/7/15
/
Intelli “DNA” & “CPR” Driving Value Propositions
ISH
RO
NI
“DNA” CPR: Each Product CPR: Summary
Higher score = Best Fit Product for each consumer5 6
UN
IQU
E_ID
NA
ME
T_PE
RS_
AG
E
T_PE
RS_
LAN
GU
AG
E_SP
AN
T_PE
RS_
HA
ND
ICA
PPED
T_FA
M_P
AR
ENT_
TEEN
T_R
EGIO
N_S
TATE
T_PE
RS_
GEN
DER
CO
LL_A
RT
HO
ME_
DEC
OR
ATI
ON
TEC
H_C
OM
PUTE
R_E
LEC
T R
extr
a_su
m_o
f_to
uchp
oint
s
SCO
RE_
PRO
D_1
TOU
CH
_PR
OD
_1
SCO
RE_
PRO
D_2
TOU
CH
_PR
OD
_2
SCO
RE_
PRO
D_7
0
TOU
CH
_PR
OD
_70
SCO
RE_
PRO
D_6
52
TOU
CH
_PR
OD
_652
SCO
RE_
PRO
D_6
53
TOU
CH
_PR
OD
_653
MA
X_SC
OR
E
TOP_
PRO
D_1
TOP_
PRO
D_2
TOP_
PRO
D_3
TOP_
TOU
CH
_1
best
_pro
d
best
_tou
ch
MYP5000260DAREN 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;
MYP5000287SCOTT 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;
MYP5000374DAVID 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
MYP5000460ROGER 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 spending y p gtheir on-line time and whyAssume customers are on-line more than you are aware, regardless of age. Age determines Which on-line channelIdentify the “Key Influencers” across your customers– Leverage Social Media so each becomes your best
Omnibudsman
21
Omnibudsman
Target ConsumerIntelli-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
costMulti‐Channel Marketing
SMS RSS
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 POINTTARGET_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_STAMPS3 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_KNIFE6 T_NAT_AFRICAN_AMERICAN 33 O_TRAVEL 67 COLL_VEHICLES_OLD
TARGET_OCCUPATION 7 T_OCC_AGRICULTURE 34 O_TRAVEL_CRUISE 68 COLL_SPORT8 T_OCC_WRITER SPORT 35 S_SPORT AUTO_MOTO 69 AUTO_TRUCKS9 T_OCC_HEALTH_PROFESS 36 S_HUNTING 70 AUTO_RV_MOTORHOME
10 T_OCC_TEACHER 37 S_FISHING 71 AUTO_RACING11 T_OCC_IT_PROFESS 38 S_GOLF 72 AUTO_MOTORCYCLE12 T_OCC_UPSCALE_EXECUTIVE 39 S_SKI_SNOWBOARD_SKATE 73 AUTO_VEHICLES_OTHER13 T_OCC_SALES_MARKETING 40 S_BOATING_SAILING 74 AUTO_VEHICLES_MILITARY14 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_YOURSELFERS16 T_FAM_PARENT_DAUGHTER 43 HEALTH_DIETING_WEIGHT 77 HOME_DECORATION17 T_FAM_PARENT_TEEN 44 HEALTH_DIABETES TECHNO 78 TECH_COMPUTER_ELECTRONIC18 T_FAM_PARENT_BABY HOBBY 45 HOB_FARM_AGRICULTURE 79 TECH_SOFTWARE19 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_WEB21 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_TECHNOLOGY23 EP_NEW_HOME 50 HOB_PHOTO BUSINESS 84 BUS_BUSINESS_FINANCE24 EP_WEDDING 51 HOB_GAMES 85 BUS_SMALL_BUSINESS25 EP_PREGNANCY_EXPECTPARENT 52 HOB_READING 86 BUS_INVESTMENT26 EP_NEW_PARENT 53 HOB_GAMBLING 87 BUS_CAREER27 EP_RETIREMENT 54 HOB_TV_ENTERTAINMENT SOCIAL 88 SOC_POLITICS
55 HOB_MUSIC_RECORDS 89 SOC_NEWS56 HOB VIDEO MOVIE 90 SOC EDUCATION56 HOB_VIDEO_MOVIE 90 SOC_EDUCATION57 HOB_FOOD_COOKING 91 SOC_MILITARY_ARMY58 HOB_WINE59 HOB_JEWELRY60 HOB_FASHION61 HOB_GIFT
23
Consumers with specific profiles and the with highest Consumers with specific profiles and the with highest
levels of levels of Social Media activitySocial Media activity, , they are your they are your “Key Influencers”
359 657 95 510 172 477 197 8 582 71 638 195 47 228 12 31101thingstodo123greetings.c103092804.com247realmedia 123inkjets.com1wrsurvey.com2010censusjobaol.com 101bank.com addthis.com 15kprofits.com247realmedia. 53riverbankrun247realmedia. cellfire.com 247realmedia.c1x12.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.coma9.com 5star‐sharewaaaronselectro 4adventure.coadecn.com a9.com a9.com ebay.com 1stsource.comavg.com 247realmedia. adblade.com adecn.com about.com engineguarantadfusion.comaarpmembers 9gag.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.comabmr.net aarp.com adecn.com abmr.net akamai.net aavacations.coabmr.net mediaplex.c1stsourceonlinbedbathandbe32red.com adbureau.net allegiantair.co addresses.comjuno.com advertising.comacnielsenonlinaarp.org adfusion.com about.com alliancehealthabmr.net accesshollywoyahoo.com 247realmedia. belloiris.com 33across.com adchemy.com atdmt.com addthis.com shoprite.com atdmt.comacop.com aarpmembers adlegend.comabsoluteshakeanrdoezrs.netabout.com accuratelocalwyieldmanage302br.net biglots.com 3stephomebiz addthis.com bestwestern.c addynamix.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.netaddynamix.coabbyy.com advertising.coadbureau.net apmebf.com acnielsenonlinadbrite.com 411.com cbomc.com 4research.net adecn.com carrentals.comadfusion.com sunnbnj.com doubleclick.neadecn.com abbyyusa.comalabama.traveadchemy.comask.com adblade.com adecn.com 4tube.com childrensplace500in15.com adfusion.com cov.com adobe.com walmart.com exelator.comadfusion.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.comadnxs.com about.com amgdgt.com adfrontiers.coatwola.com adbureau.net admeld.com a3urbanmusic.consumerinpu8startsuccessnadnxs.com daveramsey.coadsonar.com gslb.comadsonar.com aboutlizzie.co aol.com adfusion.com avenue.com adecn.com adshuffle.com a9.com criteo.com a4dtracker.comadsonar.com delta.com adtechus.com juno.com
0 2.911‐9 11.051‐49 13.7150‐99 15.05100‐149 12.5
Key Influ‐
advertising.coaccessacs.comapmebf.com admeld.com avon.com adfrontiers.coadsonar.com aafp.org dealofday.coma9.com adultfriendfinddoubleclick.neadvertising.com match.comadvisorypanelacop.com ask.com adnxs.com bidcactus.comadfusion.com advertising.com about.com dilards.com aavalue.com advertising.co frontierairline aeroperform.com mookie1.comaffinnova.comactressarchiveatdmt.com adobe.com bidsauce.com admarketplaceallbusiness.com acclaimimagesdillards.com abcdefgfree.coallretailjobs.cogoogle.com aerotechlou.com nexac.comalibris.com acuriantrials.cbestbuy.com adsfac.us bing.com adnxs.com alot.com acephotos.org disneystore.coabmr.net amazon.ca hotwire.com aircraftspruce.com optmd.comalliancehealthadbureau.net bluelithium.coadshuffle.comblogspot.com adsfac.us amazon.com aceshowbiz.codooney.com about.com amgdgt.com juno.com airnav.com pubmatic.comamazon.com addthis.com bridgetrack.coadsonar.com bluekai.com adshuffle.comamazonpaint.com aclasscelebs.codotomi.com accountnow.coandrogel.com liveglutenfree allbookstores.com questionmarke
150‐199 9.54200‐399 22.15400‐499 6.07500+ 6.03
encers
g p g g qannmariemckeadobe.com burstdirectadsadspeed.net c21.com adsonar.com americangirl.com adblade.com doubleclick.neacespalace.comapple.com loyaltypath.co alphadictionary.com realmedia.comanrdoezrs.netadtechus.comclickbank.net advertising.coc21agentemai adtechus.comask.com adbrite.com doubledaybooacuriantrials.coatdmt.com mapquest.comamazon.com serving‐sys.comaol.com advertising.cocpxinteractiveaggregateknowcarcomplaints advertising.coatdmt.com addthis.com emitations.comadap.tv atwola.com match.com ameritrade.com trafficmp.comapmebf.com aglabs.com custhelp.com aipsurveys.co careerbuilder aetna.com atwola.com adecn.com experion‐appsadbureau.net auctiva.com mayoclinic.comancestry.com tribalfusion.coarthritisconneakamai.net dartsearch.ne allears.net carrotink.com airfarewatchdbid‐2‐buy.com adfusion.com facebook.com adchemy.com avemariasong.mayoclinic.organniesattic.com turn.comatdmt.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 gatt.com albertsonsma dotomi.com alot.com cashloanprovi allenpress.combirchcouleearena.com adjug.com fastbrowserse adf01.net belcantosocietnexac.com aquasana.com usmint.govavon.com aldifoods.comdoubleclick.neamazon.com cc‐dt.com alltheservices bit.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
QuarteA
Team:Client
Intelli-Global
Analytic Team
StatisticianAcct Mgr
erly Perfo
Assessm
e
Team:
Marketing Director
Business Analyst
ormance
entOthers
Quarterly, each client’s assessment of our performance determines the team’s compensation
25
determines the team s compensation