 |
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
Behavior/Collections
- 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
Back to Analytics
|
|