JS eBusiness

by Joomlashack

 
 

CRM Analytics

At the end of the day, the only true asset of the company is the data it has of its customers. Many businesses like Automobiles, finance, e-commerce etc collect rich data of their customers during the course of their business.

Rich customer data lends itself to various predictive modeling techniques that can deliver disproportionately high RoI and importantly develop high customer intimacy. At the heart of CRM analytics is to “score” customers using predictive techniques.  Owing to proliferation of tools and techniques, CRM analytics has become a buzzword and implementation is sketchy and does not deliver the promise of high RoI. Madison Business Analytics tread the path of putting onus on understanding the solution rather than selling a black-box product or service.

There are three pillars for the success of CRM analytics initiative

1. Clear articulation of opportunity: For CRM analytics to deliver high RoI, it is important to assess the opportunity, prioritize the desired outcomes and monitor success criteria continuously. Madison Business Analytics never starts by selling a pre fabricated solution to the client (like churn management/ upsell/ cross sell) but with a workshop where all opportunities are brainstormed and the prioritized

2. Availability of clean data : In many instances, data resides in silos making it difficult to run predictive models. Our data integration services help in getting the data ready for CRM Analytics

3. Right technique for the job : – Various data mining tools have meant that product and framework are the starting point of the discussion. This could often lead to issues along the way as all the business requirements and constraints are not considered. We have a process of dwelling on many options and the same is shared with clients.

Speaking of techniques, our expertise includes:

  • Customer Segmentation
  • Response modeling for one-to-one marketing
  • Up-sell and Cross-sell
  • Loyalty Management
  • Churn Management
  • Customer Lifetime Value (CLV) management

Need further information?. Please do contact us and we will get back to you within 2 business days