- Define the organizational metrics that contribute
to overall customer value. Ensure all aspects
of the Customer relationship are considered,
including marketing, acquisition, customer
care, billing and receivables.
Example:
Organizations that take on more loss exposure
due to their inherent products and services
put more emphasis on credit risk decisioning,
while other organizations that have means
to limit loss exposures (i.e. pay or you
are cut off) may increase emphasis on attrition
and profitability while keeping credit risk
decisioning static, etc.
- Continually improve customer interaction by proactively predicting client behavior for opportunities and risks throughout the client lifecycle.
- Targeting potential customers
- Selecting/acquiring new customers
- Managing customer value
- Recovering customers
The value equation remains the same. In order to reach this common value, decisioning criteria such as data used, outcomes and ratios to common goals needs to be differentiated at each touch point.
Example: As the customer lifecycle continues, credit worthiness may not take center stage as it did at the beginning of the lifecycle. Therefore, decisioning strategies and the data used will be different.
- Use the equation to treat clients consistently and in accordance with their current value throughout all divisions and channels of customer interaction.
Companies successful in implementing uCVM™
treat the client holistically and consistently
through all divisions. When implemented properly
the power of uCVM™ becomes evident. Businesses
use client segmentation, risk, and value predictions
to get the right message to the right client
at the right time. By treating each client pro-actively
and appropriately throughout their lifecycle,
customer profit potential and business growth
objectives are realized.
The result is a powerful strategy that enables tremendous improvement in operating
metrics, EBITA, and shareholder value.