Customer Analytics

Analytics

Customer Analytics


A deeper understanding of the customer has never been as important as it is today.

Customer Analytics


A deeper understanding of the customer has never been as important as it is today. Social media, open information, new business models, and ever increasing options make it paramount to understand the pulse of customers and predict their behaviors. Mountains of consumer data alone do not automatically yield marketing success; and decision analytics for corporate marketers is about more than incremental gains to ongoing efforts.

The core objectives of customer satisfaction, loyalty, and value remain the same, however, that means to the end are changing rapidly. Combining in-store and online behaviors along with social hearing and surveys is giving organizations a 360-degree customer view. Analytics is helping organizations predict purchase patterns, customer behaviors, lifestyle preferences, and offering them hyper-personalized propositions. Data, technology, and predictive analytics are being used to redefine customer interactions.

Specture Labs leverages award-winning techniques that utilize structured and unstructured data, such as social media, to help banks target a wide-open small business customer base more efficiently and with a better return. We help clients develop new lending and insurance products and help them increase wallet share. We go beyond simply analyzing data to improve customer targeting and analyze campaign performance.


Capabilities


  • Customer Acquisition, Attrition & Loyalty Management
    • Channel Effectiveness Broker/Agent Value
    • Compensation
    • Ease Of Doing
  • Portfolio Profitability Management
  • Scorecard Development, Validation & Maintenance
  • Campaign Design, Management & Execution
  • Cross-Sell/Up-Sell Strategy & Implementation
  • Attrition & Loyalty Management
  • Reporting & Analysis
  • Customer Journey โ€“ Key Objectives


Acquire

  • Lead Scoring
  • Lookalike Modeling
  • Response Modeling

Understand

  • Customer Segmentation
  • Customer 360 View
  • Survey Analytics
  • Customer Experience

Grow

  • Pricing & Promotions
  • Personalization
  • Customer Lifetime Value
  • Up-sell/Cross-sell

Retain

  • Churn Modeling
  • Loyalty Analytics
  • Contact Center Analytics
  • Customer Service