Case Study and Sample Slides Customer Intelligence Profiles
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Outline
1
XXX Overview
2
Processes
3
Industries Covered
4
Products & Services
5
Competitive Landscape
6
Key Developments
7
Where Does SGS Analytics Fit in?
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XXX is a leading provider of “Data” solutions to the mortgage, banking and automotive finance industry Revenues 12.0
In $ million
10.0 $10.0
8.0 6.0 4.0 2.0 0.0 2004
2005
2006
Employees 35 30 29
25 20
22
15
• XXX, LLC is a provider of end-to-end consumer marketing solutions to the mortgage, automotive, banking and credit union industries • It was founded in the year 1999 by Richard Scolio • It helps organizations improve their direct marketing ROI by generating target-specific leads through the use of proprietary analytics platform on its database • XXX, LLC was ranked 251 in Inc. Magazine’s Top 500 List of Fastest-Growing Companies with over 500% revenue growth over the past 3 years
10 5 0 2005
2006
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An expansive database, on the US population, containing individual credit & demographic data is its core offering
Data Source Experian Trans Union
Data Type
Target Individual Credit Score
Data Source
Data Type
Bankruptcy & Derogatory
Unknown
Data Source
Data Type
Unknown
Processed
Data Source Unknown Unknown
Auto Mart
Data Type
Refine
Execute
Vehicle Trade Data
Demographic data
Mortgage Mart
Student Loan Mart
Demographic Mart
Renters Mart
Vehicle Registration Body
Bankruptcy Mart
XXX has ‘data’ on over 200 million US consumers with 1,100 attributes for each Source: XXX & SGS Estimates
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Proprietary technologies/solutions help it leverage this database to provide solutions to the following industries Industry
Purpose
Size
Mortgage
Lead Generation / Targeting
50 million households
Automotive
Lead Generation
180 million consumers
Banking
Credit Checking
NA
Marketing Service Provider
Lead Generation
215 million consumers
Credit Unions
Pre-qualified Offer
120 million consumers
Database
Source: XXX & SGS Estimates
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Its proprietary solutions fall under three broad categories and may also be licensed on a subscription basis Intelidata Suite
Description
Intelidata Suite is a scalable database comprising three platforms - homeowner, consumer and prescreen. It links billions of records to provide the depth and breadth to meet the specific needs of marketers
Size
200 million consumer database
Usage
Features
It helps in Direct Marketing, Cross Sell, Up Sell, and Generation of Conversion Statistics
• Online Access • Advance Data Processing • Segmentation & Clustering • Data Append
Intelidata Express
OnePoint
It provides online count and fulfillment solution from customers’ own portals
It helps minimize the time and expense of campaign creation by controlling the coordination of list provider, creative designer, printer and the mail house through web-based application
It uses data from Intelidata suite
It uses credit, homeowner and demographic data
It helps in identifying prospects through customized search with its easy-to-use online interface, while its delivery engine takes the guesswork out of purchasing data.
It helps in marketing campaign, direct marketing, and direct mail
• Intuitive Interface • Online Access • Full File Counts • DNS List Management •Suppression
• Intuitive Interface • Online Access • Order Processing • Custom Segments • Flexible Drop Scheduling
Source: XXX & SGS Estimates
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Mortgage lenders use its solutions / services to target the right prospects for specific pre-approved credit offers
Data Items
Database
Process Solution & RPI*
Credit scores, Revolving balance, Mortgage balance, Dwelling type, Market value, Purchase date, Age, Income, Length of residence
Identifies the target based on selected parameters
Intelidata Express & One Point
Lending products to consumers – target by sub prime and conforming criteria match Choose the qualified leads – exclude homeowners who have recently refinanced or have a second mortgage Identify potential targets for debt consolidation – locate people with revolving debt and available equity Target by credit score, Market Value, and LTV – find the range that fits offer Target original, home equity or current loan information Coverage for sparse or missing home value data utilizing home valuation models
Total Records: 120 million consumer representing 60 million household Source: Credit Bureau, Public Records, Consumer Records *RPI:Risk Propensity Indicator Source: XXX & SGS Estimates
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Data Items
Database
Automotive dealers and loan providers use its solutions for identifying the best-suited prospects
Solution & RPI*
Months remaining on vehicle trades, payment information, credit scores, credit amount, repossession, age, & income
Identifies the target based on selected parameters
Intelidata Express & One Point
Match lending products to prescreened consumers – target by sub prime Omit unneeded data – exclude consumers who have recently taken out an auto trade Sort by loan/lease expiration date – discover consumers who will be coming off loans or leases within a time period Focus on first-time buyers – target people who have never had an auto loan or lease
Total Records: Updated monthly, it covers 120 million consumer records Source: Multiple credit bureaus, public record sources, and consumer records
*RPI:Risk Propensity Indicator Source: XXX & SGS Estimates
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Data Items
Database
Banks may use its solution for background / credit verification and specifically for student-loan target identification
Solution
Student loan trade, loan amount, number of lenders, repossession, age, income range, & debt counseling
Identifies the target based on selected parameters
Intelidata Express & One Point
Target consumers who are able to consolidate – select consumers with multiple loans from multiple lenders
Choose only the most qualified leads – exclude consumers with student loans currently in deferment Select consumers by total debt accrued – aggregate balance for open trades Append phone numbers – select accurate and up-to-date consumer phone records Match lending products to consumers – target by sub prime or prime
Total Records: Updated monthly, it contains 25 million consumer records Source: Multiple Credit Bureau *RPI:Risk Propensity Indicator Source: XXX & SGS Estimates
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Recent Developments
June 2005
XXX partnered with Arizona-based software Development Company vLender.com. vLender.com specializes in sale mortgage loan origination, marketing, and process flow management solutions to the mortgage industry vLender.com entered the partnership to use XXX’s One Point Platform for Virtual Lender; Online Solutions Provider to enhance vLender.com’s direct marketing capabilities. Using this platform, vLender.com's 2,000 mortgage broker customers can access credit, homeowner and demographic data along with direct mail templates to execute direct marketing campaigns
June 2006
XXX LLC introduced a new level of phone selection capability. XXX’s Phone Confidence Grade helps marketers identify the quality of phones they would like to use for a given campaign. Grades are determined by matching numbers across up to seven different phone sources. The grades are statistically derived depending on the number of matches and the source of the data. The use of multiple sources increases the callable universe for a list, which leads to additional opportunities for sales. This selection capability or Grade is targeted for telemarketers and was developed to address disconnect rates as well as the diminishing quantity of phones due to Do Not Call legislation
Aug 2006
XXX faced a fair credit class-action complaint in Baltimore Federal Court accusing the company of sending bogus offers of credit for $300 as a ruse to obtain consumers’ credit reports
June 2007
XXX released Intelidata Platform version 4.1. This release includes Intelidata Express online count and fulfillment application. It adds many new features designed to allow direct marketing professionals to choose and segment their data easily and on their own time
XXX has been using analytical products and services provided by Eagle Eye Direct, LLC. Eagle Eye is a data analytics company focusing on data mining, modeling and analysis. Some of the services provided by Eagle Eye to direct marketing companies include Response and Conversion Modeling, Customer Profiling, Sales Estimation, Post-Campaign Analysis, List Processing and Similarity Analysis
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Thank You
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