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CASE STUDY
Data Driven Loyalty Program

Managing End-to-End Loyalty Program through Analytics


Client: Large Retail Chain
Summary
Segmentation based on customer’s contribution
 
     Utilizing segmentation to identify contribution of each customer within the
                                             transactional database.




            High
                                          Grow               Preserve
                   Spend in store




                                     Maintain/Drop       Foster/Cultivate

            Low
                                                 Visit frequency
                                    Low                                 High

                                                                            Useful to make relatively
       Useful to nudge the
                                                                          stable customer base so that
      customers towards a
                                                                           the membership becomes
    stronger/more profitable
                                                                                   long lasting
          relationships
Value Segmentation


   Cequity deployed scoring technique to construct the segmentation for the Retail service provider for
   identifying the subscribers with various value band on historic and observed transactional data and
   key business parameters.




  Cequity’s
    Value
 Segmentatio
       n
 Developmen
   t Stages
Segment the customers




                             From Transaction Data Identify the
                                pattern customer’s purchase




                             Segment the customers based on profit




            Loyals              Potentials                 Nascents                     Dormants



Almost 1/4th of the entire   2nd largest segment                      Non-Profitable for long
customer base, generating    needs as emerging                            term business
 approx. 70% of sales             customers                                 relationship
Customer Profiling




                                      Demographics
                                                     Geography


                           Purchase
                           trend
                                                                   Category
                                                                   Penetration




                     Vintage


                                                                     Visit
                                                                     Freq.&
                                                                     Trend




                                                        Spending
Profiling the customers from            Category        habits

    various segments on                 Affinity

     different dimensions
Results




    Cequity’s data driven loyalty program has become the key driver for all one-to-one and
    CRM marketing programs.

    We are partnering with clients to support in customer database management, segmented
    marketing program, dashboards and MIS for Marketing teams to take quick business
    decisions and also for planning; executing and monitoring of the retention campaigns.
    The programs have led to a potential savings of over US$ 2 million
Worldwide Offices

INDI A                                                         USA
Mumbai Office: 105-106, 1st Floor,                 Chicago Office: 626, Grove Street, Anand
Estate, 189-A,                          Evantson, IL 60201
Sane Guruji Marg, Mahalaxmi,
Mumbai-400 011
Phone: +91 22 23000133, 23054039,
Fax: +91 22 23053809

                                     www.CequitySolutions.com

                                     info@CequitySolutions.com

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Casestudy Cequity Value Segmentation Retail

  • 1. CASE STUDY Data Driven Loyalty Program Managing End-to-End Loyalty Program through Analytics Client: Large Retail Chain
  • 3. Segmentation based on customer’s contribution   Utilizing segmentation to identify contribution of each customer within the transactional database. High Grow Preserve Spend in store Maintain/Drop Foster/Cultivate Low Visit frequency Low High Useful to make relatively Useful to nudge the stable customer base so that customers towards a the membership becomes stronger/more profitable long lasting relationships
  • 4. Value Segmentation Cequity deployed scoring technique to construct the segmentation for the Retail service provider for identifying the subscribers with various value band on historic and observed transactional data and key business parameters. Cequity’s Value Segmentatio n Developmen t Stages
  • 5. Segment the customers From Transaction Data Identify the pattern customer’s purchase Segment the customers based on profit Loyals Potentials Nascents Dormants Almost 1/4th of the entire 2nd largest segment Non-Profitable for long customer base, generating needs as emerging term business approx. 70% of sales customers relationship
  • 6. Customer Profiling Demographics Geography Purchase trend Category Penetration Vintage Visit Freq.& Trend Spending Profiling the customers from Category habits various segments on Affinity different dimensions
  • 7. Results Cequity’s data driven loyalty program has become the key driver for all one-to-one and CRM marketing programs. We are partnering with clients to support in customer database management, segmented marketing program, dashboards and MIS for Marketing teams to take quick business decisions and also for planning; executing and monitoring of the retention campaigns. The programs have led to a potential savings of over US$ 2 million
  • 8. Worldwide Offices INDI A USA Mumbai Office: 105-106, 1st Floor, Chicago Office: 626, Grove Street, Anand Estate, 189-A, Evantson, IL 60201 Sane Guruji Marg, Mahalaxmi, Mumbai-400 011 Phone: +91 22 23000133, 23054039, Fax: +91 22 23053809 www.CequitySolutions.com info@CequitySolutions.com