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© 2014 Impact Data, LLC All Logos, Trademarks are used with permission
Introduction to 
Impact Data 
• Who we are 
• The founder of our company has 3 decades of experience with a 
significant portion of that experience in C-Level capacities in the credit 
card, consumer finance, ARM, and creditor rights litigation verticals. 
• Our senior team of data analysts have over 150 years of cumulative 
experience in marketing, credit risk, fraud prevention, hotel and gaming 
analysis, and demographic data interpretation skills. 
• The business concept was developed in 1999 and after seven years of 
testing & refinements, launched to market in the fall of 2006. 
• We have a network of strategic product resellers that use our 
segmentation products within their respective suites of services to 
provide additional benefit to their vast client bases. 
• We maintain data centers in the United States, France, and Australia to 
cover the globe for our international clients and resellers. 
• As of 2010, based on our network of resellers we are one of the largest 
privately held data segmentation companies in the United States. 
© 2014 Impact Data, LLC All Logos, Trademarks are used with permission
Introduction to 
Impact Data 
• What we do 
• We call it Geo-Economic Segmentation. 
• We provide performance segments based on recent results based data 
captured from our existing client population. 
• We are not in the business of Scoring accounts. 
• We have created models that segment U.S. Zip codes, Canadian Postal Codes, 
and British Postal Codes into a performance matrices based on our proprietary 
algorithm. 
• With client supplied data that does not include any consumer identifiable 
information, we provide a segment that identifies the propensity to perform 
based on where a client’s customer resides. 
• If the client wishes to benchmark their customer base, we can segment all 
historical performance over a set period of time against our “Universe” of data 
to determine the performance make up of their business. 
• This benchmark assists the client in developing strategies and workflows 
based on the inherent behavioral differences between subsets of customer 
populations. 
© 2014 Impact Data, LLC All Logos, Trademarks are used with permission
Introduction to 
Impact Data 
• How we do it 
• The concept for Impact Data began in 1999 with a premise of: 
• Identifying performing customers in an existing credit card portfolio without adding the cost of 
credit bureau report 
• Using historical performance as a benchmark by zip code 
• Applying the benchmark performance data to new business in an ongoing champion / 
challenger strategy design 
• We developed an algorithm that used recent performance in addition to several dozen 
demographic indicators layered over time to provide specific behaviors associated with 
geographies (segments) and then applied it to each set of new business and repeated 
the process in a continuous performance feedback loop. 
• After capturing billions of records during our performance updates from clients over the 
last 15 years, we have been able to clearly and accurately associate performance down 
to a zip code or postal code level for all of our client verticals. 
• We call this our performance “Universe” which continues to grow with every piece of 
new business we add. 
© 2014 Impact Data, LLC All Logos, Trademarks are used with permission
• Why we do it 
• “Birds of a feather flock together” 
• individuals have a tendency to maintain specific geo-economic lifestyle routines regardless of 
their credit profile indicators. 
• Geo-Economic indicators are far more stable 
• Since our “Universe” captures millions of data points the outcomes can not be manipulated. 
• Quickly identify economic upturns and downturns as compared to other forms which are 
handicapped by lagged reporting times. 
• Other forms of credit or user based data have inherent flaws due to 
• Poor reporting standards or erroneous data input 
• Are focused down to the consumer level 
• Which is fraught with regulatory mandates 
• And potentially can be open to Consumer manipulation 
• Those who live in areas that have higher Impact Segments: 
• Are able to make larger and more frequent purchases or payments. 
• Rarely migrate significantly from a higher area to a lower area and vice versa in short periods of 
time. 
Introduction to 
Impact Data 
© 2014 Impact Data, LLC All Logos, Trademarks are used with permission
Introduction to 
Impact Data 
• Why we are relevant in the market 
• No Consumer Identifiable Information is ever transferred to our servers (FCRA, 
CFPB,GLB, and HIPAA Compliant) 
• Files are transferred to secure FTP servers and are required to meet a specific file format that 
only includes a client provided: 
• Unique identifier 
• Key performance indicator 
• Zip code 
• Optional score (for client customization only) 
• We provide accurate performance segments with no “Red-Lining” 
• We do not exclude populations from our data capture process. 
• We use a client’s historical performance data and provide a clear and concise view of their past 
performance as it relates to the “Universe” of our data. 
• We maintain a highly diversified client base by industry vertical. 
• We request no strategies or workflow design from our clients. 
• We understand that strategy and workflow designs are client proprietary. 
• We do not offer any direction in strategy or workflow design, but can offer referral to 3rd party 
entities that have experience with our product in that capacity. 
• We maintain strict confidentiality 
• We do not share anything with anybody regarding your business with Impact Data 
• Our “Universe” is an aggregation of all data by vertical from all clients and does not contain 
any client or consumer identifiable data. 
© 2014 Impact Data, LLC All Logos, Trademarks are used with permission
Introduction to 
Impact Data 
• Why we are a Value Add to your operation 
• We are a low cost provider 
• We provide an accelerated return of data 
• We process 24 hours a day 
• From receipt of your data file to return of our segment file is measured in 
hours if not minutes depending on file size 
• Quickly identify Performing versus Non-Performing customer segments 
• Quickly view trends in performance 
• Provide insight to effectively allocate resources 
• Accelerate cash flow 
• Strategically reduce expenses 
• Realize best in class Return on Investment 
• Annual volume based fixed cost per month 
Breakdown of US Zip Codes by Impact Data Standard Segments 
Impact Data 
Segment 
% of US Zip 
Codes 
1 4.5% 
2 7.2% 
3 9.3% 
4 10.0% 
5 11.6% 
6 12.4% 
7 13.4% 
8 14.2% 
9 17.4% 
Client Sample Account Population 
Highest Performing Impact Data Segment 96,717 
87,359 
154,136 
222,783 
249,396 
228,643 
150,176 
58,154 
Lowest Performing Impact Data Segment 20,400 
Total Revenue 
Highest Performing Impact Data Segment $ 302,862,928.45 
$ 229,487,587.08 
$ 334,682,811.43 
$ 355,836,344.58 
$ 262,036,775.42 
$ 141,789,948.30 
$ 52,334,361.40 
$ 12,779,526.21 
Lowest Performing Impact Data Segment $ 4,955,673.81 
Revenue per Account 
Highest Performing Impact Data Segment $ 3,131.43 
$ 2,626.95 
$ 2,171.35 
$ 1,597.23 
$ 1,050.69 
$ 620.14 
$ 348.49 
$ 219.75 
Lowest Performing Impact Data Segment $ 242.93 
© 2014 Impact Data, LLC All Logos, Trademarks are used with permission
A few who have used 
Impact Data 
By Vertical 
© 2014 Impact Data, LLC All Logos, Trademarks are used with permission
Let Impact Data review your data and 
provide a summary 
Thank you for your time 
For more information Please contact 
Chris Shearer 
Directly 
At either chris.shearer@impactdata.com or 480-287-1424 
© 2014 Impact Data, LLC All Logos, Trademarks are used with permission
© 2014 Impact Data, LLC All Logos, Trademarks are used with permission

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Impact Data Introduction

  • 1. © 2014 Impact Data, LLC All Logos, Trademarks are used with permission
  • 2. Introduction to Impact Data • Who we are • The founder of our company has 3 decades of experience with a significant portion of that experience in C-Level capacities in the credit card, consumer finance, ARM, and creditor rights litigation verticals. • Our senior team of data analysts have over 150 years of cumulative experience in marketing, credit risk, fraud prevention, hotel and gaming analysis, and demographic data interpretation skills. • The business concept was developed in 1999 and after seven years of testing & refinements, launched to market in the fall of 2006. • We have a network of strategic product resellers that use our segmentation products within their respective suites of services to provide additional benefit to their vast client bases. • We maintain data centers in the United States, France, and Australia to cover the globe for our international clients and resellers. • As of 2010, based on our network of resellers we are one of the largest privately held data segmentation companies in the United States. © 2014 Impact Data, LLC All Logos, Trademarks are used with permission
  • 3. Introduction to Impact Data • What we do • We call it Geo-Economic Segmentation. • We provide performance segments based on recent results based data captured from our existing client population. • We are not in the business of Scoring accounts. • We have created models that segment U.S. Zip codes, Canadian Postal Codes, and British Postal Codes into a performance matrices based on our proprietary algorithm. • With client supplied data that does not include any consumer identifiable information, we provide a segment that identifies the propensity to perform based on where a client’s customer resides. • If the client wishes to benchmark their customer base, we can segment all historical performance over a set period of time against our “Universe” of data to determine the performance make up of their business. • This benchmark assists the client in developing strategies and workflows based on the inherent behavioral differences between subsets of customer populations. © 2014 Impact Data, LLC All Logos, Trademarks are used with permission
  • 4. Introduction to Impact Data • How we do it • The concept for Impact Data began in 1999 with a premise of: • Identifying performing customers in an existing credit card portfolio without adding the cost of credit bureau report • Using historical performance as a benchmark by zip code • Applying the benchmark performance data to new business in an ongoing champion / challenger strategy design • We developed an algorithm that used recent performance in addition to several dozen demographic indicators layered over time to provide specific behaviors associated with geographies (segments) and then applied it to each set of new business and repeated the process in a continuous performance feedback loop. • After capturing billions of records during our performance updates from clients over the last 15 years, we have been able to clearly and accurately associate performance down to a zip code or postal code level for all of our client verticals. • We call this our performance “Universe” which continues to grow with every piece of new business we add. © 2014 Impact Data, LLC All Logos, Trademarks are used with permission
  • 5. • Why we do it • “Birds of a feather flock together” • individuals have a tendency to maintain specific geo-economic lifestyle routines regardless of their credit profile indicators. • Geo-Economic indicators are far more stable • Since our “Universe” captures millions of data points the outcomes can not be manipulated. • Quickly identify economic upturns and downturns as compared to other forms which are handicapped by lagged reporting times. • Other forms of credit or user based data have inherent flaws due to • Poor reporting standards or erroneous data input • Are focused down to the consumer level • Which is fraught with regulatory mandates • And potentially can be open to Consumer manipulation • Those who live in areas that have higher Impact Segments: • Are able to make larger and more frequent purchases or payments. • Rarely migrate significantly from a higher area to a lower area and vice versa in short periods of time. Introduction to Impact Data © 2014 Impact Data, LLC All Logos, Trademarks are used with permission
  • 6. Introduction to Impact Data • Why we are relevant in the market • No Consumer Identifiable Information is ever transferred to our servers (FCRA, CFPB,GLB, and HIPAA Compliant) • Files are transferred to secure FTP servers and are required to meet a specific file format that only includes a client provided: • Unique identifier • Key performance indicator • Zip code • Optional score (for client customization only) • We provide accurate performance segments with no “Red-Lining” • We do not exclude populations from our data capture process. • We use a client’s historical performance data and provide a clear and concise view of their past performance as it relates to the “Universe” of our data. • We maintain a highly diversified client base by industry vertical. • We request no strategies or workflow design from our clients. • We understand that strategy and workflow designs are client proprietary. • We do not offer any direction in strategy or workflow design, but can offer referral to 3rd party entities that have experience with our product in that capacity. • We maintain strict confidentiality • We do not share anything with anybody regarding your business with Impact Data • Our “Universe” is an aggregation of all data by vertical from all clients and does not contain any client or consumer identifiable data. © 2014 Impact Data, LLC All Logos, Trademarks are used with permission
  • 7. Introduction to Impact Data • Why we are a Value Add to your operation • We are a low cost provider • We provide an accelerated return of data • We process 24 hours a day • From receipt of your data file to return of our segment file is measured in hours if not minutes depending on file size • Quickly identify Performing versus Non-Performing customer segments • Quickly view trends in performance • Provide insight to effectively allocate resources • Accelerate cash flow • Strategically reduce expenses • Realize best in class Return on Investment • Annual volume based fixed cost per month Breakdown of US Zip Codes by Impact Data Standard Segments Impact Data Segment % of US Zip Codes 1 4.5% 2 7.2% 3 9.3% 4 10.0% 5 11.6% 6 12.4% 7 13.4% 8 14.2% 9 17.4% Client Sample Account Population Highest Performing Impact Data Segment 96,717 87,359 154,136 222,783 249,396 228,643 150,176 58,154 Lowest Performing Impact Data Segment 20,400 Total Revenue Highest Performing Impact Data Segment $ 302,862,928.45 $ 229,487,587.08 $ 334,682,811.43 $ 355,836,344.58 $ 262,036,775.42 $ 141,789,948.30 $ 52,334,361.40 $ 12,779,526.21 Lowest Performing Impact Data Segment $ 4,955,673.81 Revenue per Account Highest Performing Impact Data Segment $ 3,131.43 $ 2,626.95 $ 2,171.35 $ 1,597.23 $ 1,050.69 $ 620.14 $ 348.49 $ 219.75 Lowest Performing Impact Data Segment $ 242.93 © 2014 Impact Data, LLC All Logos, Trademarks are used with permission
  • 8. A few who have used Impact Data By Vertical © 2014 Impact Data, LLC All Logos, Trademarks are used with permission
  • 9. Let Impact Data review your data and provide a summary Thank you for your time For more information Please contact Chris Shearer Directly At either chris.shearer@impactdata.com or 480-287-1424 © 2014 Impact Data, LLC All Logos, Trademarks are used with permission
  • 10. © 2014 Impact Data, LLC All Logos, Trademarks are used with permission