Saves cost on building inhouse analyst team for performance analysis saving between € 7,500 to € 15,000 per month

Provide quick insight and aid in decision making saving valuable management time

Bring focus to key issues through the maze of data and KPIs

CUSTOMER VALUE MANAGEMENT (CVM)

Services are designed to develop superior Value growth program leveraging the power of Artificial Intelligence and Machine learning to predict customer behaviour which helps business to identify right customer touchpoints , improve customer experience and maximise return on investment to create holistic Customer lifecycle management process.

KEY ELEMENTS

  • Create and enrich your customer data, developing Single Customer view by integrating Omni-channel data sources
  • Develop a Customer centric framework to identify Key Value Drivers
  • Monitor, track and report on Key Value drivers improvements and opportunities
  • Assess your capabilities on client communication and review your set up to utilise the program output
  • Implement prescriptive analytics for each value hotspots identified
  • Release Value creation program with delivery milestones
  • Self Learn and Optimise program through continuous monitoring and tracking

HOW IT WORKS?

Overall CVM model has 5 stages of implementation which results in following deliverables

  • Customer Discovery Reports – set of +35 questions explaining Revenue model and its build up (a monthly digest)
  • Customer Value Drivers – set of +20 Database Health indicators (a monthly digest showing movements and development of each)
  • Customer Segmentation – adding these models to your customer data for monitoring, targeting, communicating and measuring their activity ( made available in Customer Data lifetime summaries and Customer Class Summaries)
  • Customer behavior thresholds – calculating thresholds for customer behavior elements to trigger action from CS, VIP, Risk and product. (deliver alert notifications through Real time messaging services)
  • Predictive & Prescriptive Models: ML models for Churn detection, discovering identical twins, spotting high value customers, wise guy identifiers, Profile based product recommendations (integrating models to CRM solutions sending real time response)

CUSTOMER DISCOVERY AND CUSTOMER VALUE DRIVERS CONTENT PACKAGES

Customer Discovery Reports provides businesses with diversified view of their revenue generation answering who are my revenue contributors? Where is the revenue coming from ? How revenues move due to seasonality effect? What is the share of revenues by products, channels and any other revenue influencing dimensions?. Content provides both Value and Volume impact of the Key Value Drivers on Revenues.

HOW THIS HELPS THE BUSINESS ?

  • It provides business to locate the areas of influence from both magnitude of impact and trend development perspective which aids in decision making
  • Helps in creating the framework for revenue planning providing key inputs on levers behind revenue generation
  • Helps in identifying the changing patterns across dimensions providing clear view on changing influences over period to factor in building the Strategic view for your customers.
  • Creates the seed plan on Customer value management

HOW THIS HELPS THE BUSINESS?

  • Provides business data points to understand what are the customer behavior which impact the value creation
  • Helps in identifying quick wins for incumbent CRM process improving their efficiencies and mechanisms
  • Review of marketing spend and customer incentivization program on whether they are making profitable difference to customer value management program

Customer Value Drivers is a collection of Unique Database Health Identifiers measuring customer touchpoints efficiency along customer lifecycle with the business. Conversion Funnels, Transaction Progression, Customer Engagement levels, Customer retention rate, Customer migrations, Customer Incentivization effect, customer preferences and customer lifetime value extractions

CUSTOMER SEGMENTATION MODELS

Knowing your customer through data and analytics, what are their preferences? Who produces the best value? How long they survive? What are their defection rate? How many game they play in lifetime? Etc. All this helps in designing and devising strategies and tactics to generate incremental value from your existing customer base as well as focus on who should be your right acquisition targets.

CUSTOMER INSIGHTS ARE PROVIDED IN FOLLOWING SECTORS:

  • Building Customer Persona
  • Customer transactional behaviour by their lifecycle stages
  • Customer preferences by usage, volumes and their profiles
  • Customer Survival, Churn, Longevity and Retention Rate
  • Customer Values, influence of product, channels, transactions, reinvestments, Customer services and system frictions.
  • Customer Services its impact on retention, value, defection, issues and critical points of contact
  • Payments efficiency, declines, frauds, conversion funnel, optimal payments portfolio.
  • Conversion funnel
  • Product usage, active content, content launch and refresh, value based segments
  • Product persona
  • Game assessment
  • Event analysis- World Cup, Euro Cup, leagues