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Custom Lead Management System Development for CreditNinja
  1. case
  2. Custom Lead Management System Development for CreditNinja

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Custom Lead Management System Development for CreditNinja

sphereinc.com
Financial services
Information technology

Challenge with Lead Processing and Purchasing

CreditNinja faced limitations using a third-party platform for lead management, lacking fine-grained control over lead processing and purchasing. This resulted in high underwriting and marketing costs. They needed a system to quickly adapt to new data vendors, adjust purchasing criteria, and extract actionable data to reduce costs.

About the Client

CreditNinja is a Chicago-based online lending platform focused on providing financial solutions to individuals with less-than-perfect credit. They utilize innovative underwriting to offer online loans without collateral.

Project Goals

  • Develop a custom, in-house lead management system.
  • Achieve significant cost savings in lead processing and marketing.
  • Enhance control over lead data and purchasing decisions.
  • Enable rapid integration with new data vendors.
  • Empower Marketing and Data Science teams with flexible system control.

System Functionality

  • Data vendor integration
  • Lead scoring and qualification
  • Customizable purchasing criteria
  • Automated reporting
  • User role-based access control
  • Data extraction and analysis capabilities

Technology Preferences

Python (Backend)
Database (to be determined, likely relational)
API integrations

External System Integrations

  • Data vendor APIs
  • Existing marketing automation platform (to be specified)

Non-Functional Requirements

  • Scalability to handle growing lead volumes
  • High performance for real-time data processing
  • Data security and privacy compliance
  • Robust error handling and logging
  • Maintainability and extensibility

Expected Business Impact

By implementing this custom lead management system, CreditNinja anticipates a 4X reduction in customer acquisition costs, a 75% reduction in underwriting costs, and a 50% reduction in marketing costs. The system will provide greater agility, control, and data-driven decision-making capabilities, ultimately improving profitability.

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