The Calculate Customer Lifetime Value objective allows you to define how customer
lifetime value (CLV) is calculated in Pega Customer Decision Hub specifically for
retail banking.
Customer lifetime value (CLV)
The CLV is the discounted value of the future profits that will be generated by an
individual customer, discounted over a weighted average cost of capital. For example, a
customer that will generate $120, $80, $30, $50, and $10 of profits in the next 5 years
will have a CLV of $238, if the discounted factor is 10%.
Pega Customer Decision Hub
In retail banking, CLV helps your organization reach
strategic objectives, such as increasing share of wallet, improving customer retention, and
increasing return on marketing investment.
By activating customer valuation models,
you can place more emphasis on customer service and long-term retention, rather than on
maximizing short-term sales. As these future profits are uncertain, models have to be
developed to estimate the future value of customers and based on data analysis techniques
instead of the traditional analysis of historical data.
To deliver a CLV in a retail
banking context, use the Pega model for customer valuation based on research by Haenlein,
Kaplan & Beeser, as shown in the following figure:
The formula model for the CLV in retail bankingwhere:CLV is a function of the profit Pi,j,t.t will be generated in the future through
j.j is the product.Pi,j,t is unknown because the prediction model is built to derive
this future profit based on overall segmentations for the next five years by using
transition values.For the identified segment, use percentage CLV value 100 and
calculate the change in CLV for the next 5 years using transition
values across each segment.WACC is the Weighted Average Cost of Capital that is the discounted
rate of returns expected by the bank.
Calculate the CLV for retail banking by performing the following
steps:
In the Customer Lifetime Value method section, click
Configure.
In the Configure Calculation Method dialog box, select
Retail Banking by clicking Add, and then
Apply.Result: Additional configuration settings for the selected calculation method
appear.
In the Discount rate field, enter, for example,
10.
WACC is the recommended discount rate.
In the Classifications section, add a minimum of three
classifications by clicking Add classification:
Classifications
Classifications are groupings of your customers according to a criterion. For
example, you may group your customers as high value, medium value, and low value
clients. The CLV calculation for retail banking supports a maximum of 20
classifications. Each classification can be represented as either a (sub)strategy or
a segment.
An example of customer classifications in retail banking
In the Name field, enter a name of your classification, for
example, High Value.
In the Sourced from drop-down list, choose if you want each
classification to be represented as a strategy or a segment.
Optional: In the Classifications section, to choose a specific strategy or
a segment for your classification, click Select strategy or
Select segment:
If you click Configure Strategy, in the
Configure Strategy dialog box, select your strategy by clicking
Add, and then Apply.
If you click Configure Segment, in the Configure
Segment dialog box, select your segment by clicking
Add, and then Apply.
You can also create a strategy or a segment by clicking Create
in the Configure Strategy or Configure
Segment dialog box. For more information, see Creating strategies or Creating a Criteria Segment.
In the Classifications section, configure each classification by
clicking Configure.
In the Configure dialog box, fill in the required fields, as shown
in the following example, and then click Apply.For example: where:Actual CLV is the current CLV assigned to each
classification.Budget CLV is the amount that you are willing to invest into the
customer.Probability of transition is a chance that the customer from
each classification transitions from their current classification to each of the other
classifications.Customer attrition is the chance of losing the customer due to
customer attrition.
Note: The total of the customer attrition rate with all the percentages of probability of
transition should add up to 100%.
On the top of the Create a Strategy page, click
Save.
Result: A strategy rule with your defined classifications and transition
probabilities is generated. This strategy then calls the RetailCustomerLifeTimeValue strategy
to run the final mathematical calculation before determining the CLV score of the
customer.What to do next: You can modify your strategy rule only in the strategy rule
canvas by searching for your strategy in the Strategies landing page of
the Pega Customer Decision Hub portal, and then clicking ActionsOpen Strategy Builder.Note: Strategies that were not created through the Strategy Builder initially
or have been directly edited on the canvas do not have the option to Open
Strategy Builder available.
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