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 Predictive Modeling & Segmentation 

Acquisition Models

  • Identify prospects that look most like "best" customers
  • Identify prospects that have the greatest spending potential in the category

Attrition Models

  • Predict customers' timing, likelihood of attrition and expected lost dollars
  • Early Loan Payment
  • Prepayment
  • Balance Transfer/Churn
  • Churn Analysis
  • Churn-CLV Modeling


  • Collections Targeting
  • Who to Call; When to Call
  • Promise to Pay
  • Payment Projection
  • Recovery
  • Agency Placement
  • Collection Model for One-payment Delinquent Credit Accounts

Campaign Optimization

  • Promotion Cost Optimization
  • Promotion Analysis
  • Predict profitability of different campaign variables
  • Media Mix Optimization
  • Identify optimal number, type, sequence and timing of promotions

Channel Profitability

  • Predict and rank channels on their profitability over 3 years, 5 years and lifetime
  • Identify optimal channel mix

Competitor Analysis

  • Analysis of Relative Market Standing
  • Market Activity Analysis
  • Relative Cost/ROI Analysis
  • Peer Analysis
  • Market Share Analysis
  • Market Segmentation

Credit-related Models

  • Credit Score Modeling
  • Credit Based Insurance Score
  • Credit Risk Scores
  • Credit Bureau Bankruptcy Scores
  • Credit Bureau Scores
  • Credit Line Management
  • Revolver Life Stage Credit Need Model

Cross-sell Models

  • Revenue Model
  • Response Model for a Direct Marketing Offer
  • Activation Model
  • Predict customers' spending propensity and potential for other products at Time A.
  • Identify optimal "Next Logical Product" for promotions and campaigns

Customer Profiling

  • Develop profiles of customers with different products, value and usage levels combined with firmo/demographics, geographics, psychographics, technographics and market-level data

Customer Satisfaction

  • Survey Development
  • Customer Satisfaction Model

Customer Segmentation

  • Identify distinct customer segments using criteria such as purchase history/potential, financial portfolio, geographics, demographics/ firmographics, and techno/psychographics

Diversification Models

  • Predict diversification index (number of different products customers are likely to purchase) at Time A, B and C

Event Trigger Models

  • Identify triggers for campaigns

Financial Forecasting

  • Financial Predictive Modeling
  • Loss Forecasting Models
  • Trend Analysis/Forecasting

Fraud Models

  • Delinquency and Fraud Detection Model
  • Event Detection
  • Fraudulent Insurance Claim Detection
  • Fraudulent Credit Card Transaction Detection
  • Alerting and Deception Detection
  • Fraud: Applicant/Internet
  • Fraud: Transaction
  • Anomaly Detection
  • Security and Intrusion Detection

Lifetime Value Models

  • Predict total lifetime value
  • LTV & Survival Time Analysis

Loyalty Models                               <<

  • Identify customers that are most likely to be loyal

Market Basket Analysis

  • Cluster analysis to identify products that "go together"
  • Identify groups of products that are purchased together, sequentially and at different time intervals

Ordination & Early Risk

  • Application Risk Model
  • Payday Advance
  • Bankruptcy Prediction
  • Excessive Customer Service
  • First Payment Default
  • First Use of Card
  • Risk Scoring and Segmentation
  • Risk Management
  • Risk Modeling

Portfolio Optimization

  • Profitable Investment Identification
  • Portfolio Price Optimization
  • Portfolio Analytics
  • Revenue Growth
  • Loss Reduction
  • Expense Reduction

Product Profitability

  • Predict and rank products based on their profitability over 3 years, 5 years and lifetime
  • Price Elasticity Modeling

Reactivation Models

  • Predict inactive customers' likelihood of reactivating and total reactivation dollars following promotions

Revenue & Profit Models

  • Predict customers' revenue and profit potential

Web Analytics

  • Campaign Analysis
  • Search Engine Optimization
  • Navigation / Path Analysis
  • Content Effectiveness Analysis
  • Commerce and Merchandising
  • Scenario Analysis
  • Audience Segmentation
  • Dynamic Scoring

Win-back Models

  • Identify competitor customers most likely to convert following promotions

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