Customer Analytics

We are experienced with implementing, evaluating and upgrading analytical models. Within each stage of the analytical project, we cooperate with our clients by sharing knowledge regarding results, methods, interpretations and solutions.

 

Our confidence and experience regarding analytical projects covers: data gathering, data cleaning, data auditing, data quality and data analysis. We specialize in understanding client needs, identifying purchase triggers, uncovering mechanisms responsible for creating engagement and customer loyalty. We do this by using a wide variety of methods and approaches rooted in our experiences and scientific background.

We offer advice and guidelines on how to utilize customer data and analytical models. Our main business challenge is developing and refining analytical solutions so they can give our clients a solid background for their business decisions.

Services

  1. 01 Customer 360° view
    • Analyzing big data
    • Building customer segments
    • Understanding customer decisions and customer activities
    • Identifying customers’ buying patterns
    • Basket analysis
    • Modeling data to recommend cross-selling or tie-in sales
    • Building retention programs
    • Designing churn models
    • Building customer activity KPIs
    • Next best offer recommendations
  2. 02 Loyalty program effectiveness analysis
    • Building parameters and analyzing the effectiveness of your loyalty program
    • Building targeted promotion strategies for defined segments
    • Fraud detection and risk mitigation
    • Redemption pattern analysis
    • Measuring the accuracy of program benefits through the participants’ behavioral patterns
  3. 03 Promotion performance analysis
    • Analyzing past promotion effectiveness
    • Using sales data to optimize product-based offers
    • Marketing scorecards – development and maintenance
  4. 04 Category management
    • Analyzing customer loyalty toward brands
    • Adjusting product category structures to customer segments
    • Diagnosing the sales growth of product categories and brands
    • Evaluating the effectiveness of merchandising tools
  5. 05 Sales support
    • Assessing customer share of wallet
    • Identifying buying patterns
    • Identifying most effective sales channels
    • Market basket analysis
    • Identifying potential sales and market niches
    • Uncovering reasons for switching between stores/chains
    • Identifying customers who leave and attracting valuable customers back
    • Analyzing the price elasticity of demand
  6. 06 Database management
    • Data quality improvement plans and maintenance
    • Data gathering
    • Data cleaning and audit
    • Data reporting and analysis
    • Creation of new data models
    • Integration of additional data sources
  7. 07 Machine Learning and AI
    • Fraud monitoring
    • Risk mitigation
    • Predictive analysis
    • Advanced customer segmentation
    • Actionable tips
    • Revenue analysis
    • Promotion and campaign optimization

Customer 360° view

  • Analyzing big data
  • Building customer segments
  • Understanding customer decisions and customer activities
  • Identifying customers’ buying patterns
  • Basket analysis
  • Modeling data to recommend cross-selling or tie-in sales
  • Building retention programs
  • Designing churn models
  • Building customer activity KPIs
  • Next best offer recommendations

Loyalty program effectiveness analysis

  • Building parameters and analyzing the effectiveness of your loyalty program
  • Building targeted promotion strategies for defined segments
  • Fraud detection and risk mitigation
  • Redemption pattern analysis
  • Measuring the accuracy of program benefits through the participants’ behavioral patterns

Promotion performance analysis

  • Analyzing past promotion effectiveness
  • Using sales data to optimize product-based offers
  • Marketing scorecards – development and maintenance

Category management

  • Analyzing customer loyalty toward brands
  • Adjusting product category structures to customer segments
  • Diagnosing the sales growth of product categories and brands
  • Evaluating the effectiveness of merchandising tools

Sales support

  • Assessing customer share of wallet
  • Identifying buying patterns
  • Identifying most effective sales channels
  • Market basket analysis
  • Identifying potential sales and market niches
  • Uncovering reasons for switching between stores/chains
  • Identifying customers who leave and attracting valuable customers back
  • Analyzing the price elasticity of demand

Database management

  • Data quality improvement plans and maintenance
  • Data gathering
  • Data cleaning and audit
  • Data reporting and analysis
  • Creation of new data models
  • Integration of additional data sources

Machine Learning and AI

  • Fraud monitoring
  • Risk mitigation
  • Predictive analysis
  • Advanced customer segmentation
  • Actionable tips
  • Revenue analysis
  • Promotion and campaign optimization

Benefits

Benefits

Building profitable relationships with your clients

  • Gain genuine customer insights: needs, behavior, decisions and engagement
  • Optimize performance of loyalty programs
  • Adjust brand offers to the needs of targeted customers (most active, most valuable, etc.)

Improve marketing strategies

  • Build client value by shaping purchasing patterns
  • Lower business risks thanks to the improved accuracy of forecasts
  • Increase ROI, response rates and conversion index by implementing effective marketing strategies
  • Adjust the average product margin per category
  • Understand brand position in customer basket 

Develop effective analytical models and tools

  • Make business decisions based on solid data-driven models
  • Enrich data with new measures and sources
  • Develop new strategies for loyalty programs and minimize time gap between discovering marketing ideas and action

Our Clients

  • BP GLOBAL

    BP GLOBAL

    Comarch Loyalty Management for BP GLOBAL
  • Heathrow Airport

    Heathrow Airport

    Comarch Loyalty Management for Heathrow Airport
  • Jetblue Airways

    Jetblue Airways

    Comarch Loyalty Management Travel Edition at Jetblue Airways
  • Hudson’s Bay Company

    Hudson’s Bay Company

    Comarch Loyalty Management implementation at Hudson’s Bay Company
  • True Value

    True Value

    Comarch Loyalty Management implementation at True Value
  • Brussels Airlines

    Brussels Airlines

    Implementation of Comarch Loyalty Management for Brussels Airlines
  • Enterprise Rent-a-Car

    Enterprise Rent-a-Car

    Comarch Loyalty Management for Enterprise Rent-a-Car
  • Livelo Brasil

    Livelo Brasil

    Implementation of Coamrch Loyalty Management at Livelo Brasil
  • Natura Brasil

    Natura Brasil

    Implementation of Comarch Loyalty Management
  • Vingroup

    Vingroup

    Vingroup a coalition loyalty program in Asia
  • S7 Airlines

    S7 Airlines

    Comarch Loyalty Management at S7 Airlines
    More success stories

    Related materials

    Comarch Included in the Forrester Report “Now Tech: Loyalty Marketing, Q4 2018”

    White Paper: B2B Loyalty & Engagement Programs

    Video: Loyalty Management implementation at Hudson’s Bay

    Comarch Loyalty Management in the Gartner report

    Tell us your business needs, and we’ll find the perfect solution