---
title: "Customer Loyalty Analytics Part IV: Computing Lifetime Value"
description: A metric defining the customer’s monetary worth to the organization, factoring in acquisition, retention and revenue.
image: https://resource.nexj.com/hubfs/Customer_Loyalty_Analytics_Part_IV_Computing_Lifetime_Value-768x367.png
---

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# Customer Loyalty Analytics Part IV: Computing Lifetime Value

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Last time we spoke about the importance of recognizing value immediately through agile implementation methods.  This time we are going to apply that to the domain of computing a lifetime value metric. So what is a customer lifetime value metric – without the algebra please! 

Put simply, it is a metric defining the customer’s monetary worth to the organization, factoring in acquisition, retention and revenue.

![cla-part4](https://resource.nexj.com/hs-fs/hubfs/Imported_Blog_Media/cla-part4-1.png?width=549&height=73&name=cla-part4-1.png)

**Lifetime value** is inclusive of loyalty and the customer experience. Loyalty is loosely equated to retention rates or how long a typical customer stays with the organization.   Retention could be computed based on customer counts within a time period for each line of business. And acquisition is the cost associated to find, convert and onboard a new customer. Revenue can be complicated, especially when attempting to evaluate the net profit per customer transactions and may be facilitated through [Unit Contribution Margin analysis](https://en.wikipedia.org/wiki/Contribution_margin). Note that only the revenue-impacted metrics are subjected to Present Value discount rates.

This is the math without too much algebra and the spirit is to define a revenue-centric metric associated with an individual customer. Segmenting or cohorting customers by purchasing power, spending affinity, or other attribution is key in relating the value to available products or services. From this, behavioral insights are gleaned like the top 10% of customers by lifetime value have purchased certain products or enjoyed certain services. Aligning cohorts, or segments of customers, behind related products or services can not only increase loyalty but better align marketing programs to “boost” a weaker performing cohort into a better performing one. And the performance metric is aligned with lifetime value.

To engrain this behaviour within the organization, a vital feedback mechanism is required. Not surprisingly this feedback is from the participating, preferably connected, customer. These interactions can moderate the strict definition of “weak” or “strong” performer by infusing a measure of perceived value. And if the customer believes it to be a valuable product or service, then they are much more likely to use it, to retain it, or to recommend it.  

With [NexJ CDM - Customer Data Management](https://www.nexj.com/products-solutions/customer-data-management/), each attribute used in the CLV calculation is mapped to the source system currently provisioning it.  And this activity can be started for each line of business so that each department yields CLV metrics based on their own systems, where possible. Views to understand cohort behaviour can be created alongside the LOB views to get deeper or richer insights and could even leverage hierarchies to gain additional insights within or across related customers.

NexJ CDM enables the data integration process supported by an agile implementation methodology that does not require an expensive rip-and-replace. Leverage existing assets where possible, collaborate between and across organizational boundaries by staying focused on the results and reusing across a variety of delivery channels is the NexJ CDM paradigm.  The rich integration with a variety of system infrastructures reduces dependencies on technology partners.  Automated escalation and resumption patterns simplify operations.  And the ability to weave content from differing sources enhances, matures, and amplifies analytic efforts.

How would you use **CDM - Customer Data Management** to power your analytics efforts?  What challenges have you needed to overcome to product CLV metrics?  What changes would you make to your methodology?  How much labor, resources, or time could you save in your implementation?

**Tags:** [Corporate Banking](https://resource.nexj.com/blog/tag/corporate-banking), [Commercial Banking](https://resource.nexj.com/blog/tag/commercial-banking), [Capital Markets](https://resource.nexj.com/blog/tag/capital-markets), [Wealth Management](https://resource.nexj.com/blog/tag/wealth-management), [Private Banking](https://resource.nexj.com/blog/tag/private-banking)

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## Related Posts

<https://resource.nexj.com/blog/how-your-crm-manages-relationship-hierarchy-can-define-how-well-you-know-your-customers>

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## [How Your CRM Manages Relationship Hierarchy Can Define How Well You Know Your Customers](https://resource.nexj.com/blog/how-your-crm-manages-relationship-hierarchy-can-define-how-well-you-know-your-customers)

## Don't capsize your client relationships with poor info!

Trying to tell corporate and investment bankers about the importance of understanding their customers is a lot like listing the benefits of butter to a pastry chef. They get it. They know it really, really well. And yet, considering we are in the business of Customer Relationship Management, I sometimes can’t help but question what this means.

[Read Post](https://resource.nexj.com/blog/how-your-crm-manages-relationship-hierarchy-can-define-how-well-you-know-your-customers)

<https://resource.nexj.com/blog/2020/03/05/heres-how-leveraging-client-information-can-help-you-become-the-banker-of-choice>

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## [Here’s How Leveraging Client Information Can Help You Become The Banker of Choice](https://resource.nexj.com/blog/2020/03/05/heres-how-leveraging-client-information-can-help-you-become-the-banker-of-choice)

**Innovation and a global approach**

[Read Post](https://resource.nexj.com/blog/2020/03/05/heres-how-leveraging-client-information-can-help-you-become-the-banker-of-choice)

<https://resource.nexj.com/blog/2020/02/28/when-it-comes-to-crm-user-adoption-is-always-a-challenge-heres-how-one-of-our-biggest-clients-pulled-it-off>

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## [When It Comes To CRM, User Adoption Is Always A Challenge. Here's How One Of Our Biggest Clients Pulled It Off](https://resource.nexj.com/blog/2020/02/28/when-it-comes-to-crm-user-adoption-is-always-a-challenge-heres-how-one-of-our-biggest-clients-pulled-it-off)

You may have the best possible CRM solution on the market, a deep vertical award-winning software geared to meet your every need. What you will always struggle with is poor [user ](https://www.nexj.com/industry-solutions/topics/user-adoption-for-financial-services-crm/)adoption.

[Read Post](https://resource.nexj.com/blog/2020/02/28/when-it-comes-to-crm-user-adoption-is-always-a-challenge-heres-how-one-of-our-biggest-clients-pulled-it-off)

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