Customer Lifetime Value (CLTV): an essential and adaptable indicator

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CLTV: an accessible and powerful tool for marketing strategies

La Customer lifetime value (CLTV) Customer Value Transfer (CLTV) is much more than just a KPI. It represents the total financial value a customer generates for a company over the course of their relationship. In a world where marketing decisions increasingly rely on precise data, CLTV is emerging as a key indicator for optimizing loyalty and acquisition strategies. But its strength lies in its ability to adapt to diverse contexts and business models.

Today, thanks to advanced tools such as CRM CDP or even artificial intelligence algorithms, deploying CLTV calculation is within reach of many companies. However, CLTV only becomes truly valuable when adapted to specific scenarios: B2C, B2B-Profileaccount-based marketing (ABM) or subscription-based models, to name just a few.

This article explores the multiple dimensions of CLTV and guides you through its strategic applications in various contexts.

1. What is Customer Lifetime Value (CLTV)?

1.1 Definition

La Customer lifetime value It measures the value a customer brings to a company throughout their relationship. However, beyond this general definition, it is crucial to understand that CLTV is a highly adaptable metric. It is built on three fundamental elements:

Future expected revenues : Estimation of the customer's future purchases.
Associated costs : Includes the expenses to acquire and retain this customer.
The duration of the customer relationship : Period during which the client remains active.

Book by David Bejou: Customer Lifetime Value — Book by David Bejou

1.2 Why is this important?

Unlike other indicators such as CAC (Customer Acquisition Cost), CLTV provides a long-term perspective. It helps answer strategic questions:

Which customers justify an additional investment in terms of marketing campaigns or premium service?
How to optimize the balance between acquisition and retention?
What strategies should be adopted to maximize the profitability of customer relationships?

2. Calculating CLTV: methods adapted to your model

The calculation of CLTV is not a single formula. It varies depending on the available data, strategic objectives, and the company's business model.

2.1 Generic method (for B2C)

For B2C companies, a simple but effective formula may suffice:

$$ \text{CLTV} = \text{Average Purchase Value} \times \text{Purchase Frequency} \times \text{Average Customer Relationship Length} $$

Example:

Average purchase value: €70.
Purchase frequency: 4 times per year.
Average duration of the relationship: 3 years.

CLTV = 70 € x 4 x 3 = 840 €

2.2 Advanced Method (for B2B or ABM)

For B2B companies or those using ABM strategies, CLTV may include a discount rate to reflect the time value of money. The formula is then:

$$ \text{CLTV} = \sum_{t=1}^{T} \frac{(R_t – C_t)}{(1 + d)^t} $$

(R_t): Revenue generated in each period t, including for example recurring payments or additional sales.
(C_t): Costs associated with each period t, such as maintenance costs or customer support efforts.
(d): Discount rate, which reflects the time value of money (e.g., 10% per year).
(T): Estimated duration of the relationship, expressed in number of periods (months or years).

This method provides a more accurate view of a client's profitability by taking into account the depreciation of future revenues and regular costs.

2.3 An advanced method based on intermediate indicators

For a more accurate calculation of CLTV, this method relies on key intermediate indicators, which can be calculated or estimated using tools like Scal-e or other platform-oriented tools. Business Intelligence.

Intermediate indicators to be calculated:

APV (Average Purchase Value) Average purchase value, indicating the average amount spent by a customer per transaction.
APV = Total revenue / Total number of purchases
APFR (Average Purchase Frequency Rate) Average purchase frequency, measuring how many times a customer makes a purchase on average over a given period.
APFR = Total number of purchases / Total number of customers
ACL (Average Customer Lifespan) : Average customer lifetime, representing the average length of time a customer remains active.
ACL = Sum of customer relationship durations / Total number of customers
Customer Value Individual financial contribution of a customer over a specific period. For example, calculating the sum of a customer's transactions over a year or over a rolling 365-day period.
CLTV (Customer Lifetime Value) Customer lifetime value, an estimate of the total revenue generated by a customer throughout their relationship with the company.

$$ \text{CLTV} = \text{APV} \times \text{APFR} \times \text{ACL} $$

Example application:
Let's consider the following data:

APV The average value of a purchase is €60.
APFR Each customer makes 4 purchases per year.
ACL Customers remain active for an average of 3 years.

Customer Lifetime Value (CLTV) is then calculated as follows:
CLTV = €60 x 4 x 3 = €720

This approach, combining intermediate calculations and dedicated tools, transforms CLTV into a true lever for optimizing marketing performance.

3. Adapt CLTV to your marketing strategy

3.1 Strategies to increase CLTV in B2C

In retail or B2C subscriptions, CLTV allows for the creation of highly personalized strategies:

Upselling Offering upgraded versions or premium options during a purchase to increase the average transaction value. For example, encouraging a customer to choose a discounted annual subscription rather than a monthly subscription.
Cross-selling Suggest complementary products or services. For example, an e-commerce site might recommend accessories compatible with the main product purchased.
Referral programs : Encourage satisfied customers to recommend your products or services to their network in exchange for rewards, such as vouchers or discounts.
Customer reviews and commitment Encouraging customers to leave positive reviews or share their experience on social media can also attract new prospects while strengthening the loyalty of existing customers.
Loyalty programs Offering discounts or rewards based on customer behavior, to encourage repeat purchases and strengthen brand loyalty.

Customer Relationship Management (CRM) applied to B2C is proving to be an essential lever for personalizing marketing strategies and strengthening customer relationships. It allows for a better understanding of purchasing behavior, anticipation of needs, and the delivery of relevant offers, thereby increasing both customer satisfaction and campaign profitability. By combining CRM with modern tools and interactive approaches such as referral or review programs, companies can maximize their impact while creating a rich and engaging customer experience.

3.2 CLTV and B2B: Resource Optimization

In B2B, CLTV helps to identify strategic accounts and adapt efforts accordingly:

Identification of strategic accounts By calculating CLTV for each customer, businesses can identify the accounts that generate the most long-term value. These priority accounts can then benefit from special treatment, such as exclusive offers or dedicated service, to maximize their potential.
Targeting as Key Decision Makers (KDM) CLTV allows you to assess interactions with key decision-makers within strategic accounts. By identifying these influencers, marketing and sales efforts can be better directed to meet their needs and strengthen business relationships.
ABM (Account-Based Marketing) : By leveraging CLTV, companies can focus their resources on personalized campaigns targeting high-potential accounts, thus optimizing efforts and budgets.
Premium support and service Investing in quality customer service to strengthen long-term relationships.

TO KNOW MORE

How to improve your results with Account Based Marketing?

B2B CLTV offers unparalleled strategic insights. By identifying the most profitable accounts and effectively targeting key decision-makers, companies can focus their resources on high-potential opportunities. Combined with strategies like ABM and premium services, it maximizes the value of customer relationships while strengthening loyalty.

This approach transforms CLTV into a tool not only for measurement, but also for action, guiding companies in their efforts to achieve sustainable growth and strengthen their competitive position in the long term.

4. Tools for calculating and using CLTV

Today, several tools exist to calculate and optimize CLTV, ranging from advanced solutions for large companies to tools accessible to SMEs:

CRM (Salesforce, HubSpot) They centralize customer data and enable precise analyses to estimate CLTV. They offer advanced options to customize calculations based on customer behavior.
CDP (Scal-e, Segment) They collect and structure data from multiple touchpoints (emailing(social media, website) for a unified view of the customer.
Tools specifically designed for SMEs : Solutions like Zoho CRM ou Freshworks CRM offer features tailored to small businesses at affordable costs.

Predictive AI : Platforms like BigML ou DataRobot incorporate predictive algorithms to estimate CLTV based on historical data and behavioral models.
Open source tools Frameworks such as Python with libraries such as Pandas ou scikit-learn allow developers to create custom models for calculating CLTV.

These tools offer a diverse range of options for all sizes of businesses, allowing for optimal use of CLTV according to specific needs.

Some references

« Customer Lifetime Value: Reshaping the Way We Manage to Maximize Profits » – Book by David Bejou, which explores best practices for calculating and using CLTV – 2016.
« Customer Lifetime Value (CLV) vs. Customer Lifetime Return on Investment (CLROI) » – Article from Harvard Business Review, Elie Ofek offers an in-depth analysis of the strategic implications of CLTV. – 2014.
« Content Marketing and Customer Acquisition: How to Calculate Your CAC, CLV, and ROI » – Video from MarketingProfs, which explains how to calculate certain indicators including CLTV. – 2017.
« What Is Customer Lifetime Value (CLV)? » – Online course on Coursera, taught by digital marketing experts, covering the basics and advanced methods for calculating CLTV. – 2023

In conclusion: a CLTV that reflects your image

Customer Lifetime Value (CLTV) is a powerful metric, but its true value lies in its adaptability. Depending on your industry, objectives, and available tools, CLTV can become a strategic compass for optimizing your marketing decisions.

Investing in modern tools like CRMs, CDPs, or AI platforms, and adapting your calculations to your environment, will allow you to transform this metric into a lever for sustainable growth. But CLTV doesn't stop there: it can also become a true engine of innovation by enabling companies to test new business models or explore untapped customer engagement strategies.

Furthermore, CLTV analysis can serve as a basis for anticipating market trends and better meeting the ever-changing expectations of consumers. By combining this indicator with other strategic KPIs, companies can not only improve their performance but also build lasting and mutually beneficial customer relationships.