What is Customer Lifetime Value?
Customer Lifetime Value (CLV) estimates the average profit a customer brings in for a company throughout their entire lifespan of doing business together.
The customer lifetime value (CLV) metric can help companies determine how much a customer is worth, which provides practical insights for adjusting their business model appropriately (e.g. marketing budgets, customer acquisition strategies).
How to Calculate Customer Lifetime Value (CLV)?
The customer lifetime value (CLV) is defined as the monetary value contributed by a customer to a company across the entire time of doing business together.
CLV is an essential metric that can help a company set a “ceiling” (i.e. the maximum amount) on how much it can afford to spend on acquiring new customers based on how profitable the average customer has been in the past.
Most often, the customer lifetime value (CLV) metric is tracked for companies with a subscription-based business model with repeat purchases, and less often tracked for those companies with “one-time” purchase models.
By tracking CLV, a company can quantify how much it could afford to spend to acquire new customers going forward – which leads to more efficient capital allocation in terms of activities like marketing.
Additionally, with CLV, the company can better estimate its future cash flows and the number of new customers that its sales team must obtain for the company to become profitable.
Customer Lifetime Value Formula (CLV)
However, note that calculating LTV differs by the individual and/or firm, so various measures of operating performance could be used with further adjustments made as needed.
What are the Components of the CLV Formula?
In our customer lifetime value formula, the underlying drivers with the most impact are:
- Average Revenue Per Account (ARPA): ARPA is calculated by dividing total revenue over a period by the total number of active customer accounts under the same time frame.
- Gross Margin %: Gross margin is the amount of profit remaining after subtracting the direct costs of the service – e.g. application hosting costs, new customer onboarding, customer service, and third-party software licenses.
- Churn Rate: Churn refers to the discontinued revenue attributable to existing customers that are no longer expected to remain customers – and the concept is directly associated with the average customer lifetime, which is the length of time a customer makes purchases from the company before stopping.
What is the Discount Rate in the CLV Formula?
CLV calculations assume customers produce a certain amount of revenue (and therefore profit) each month or year for a seller (i.e. the company).
Considering the “time value of money”, any future cash flows expected to be received hold less value in comparison to if payment was received on the present date – thus, a discount rate is often attached to calculating LTV.
However, for illustrative purposes and for simplicity, we’ll be using a more basic calculation of LTV.
How to Calculate the CLV/CAC Ratio?
For a company to be sustainable, the cost of acquiring one new customer – the customer acquisition cost (CAC) – should be lower than the lifetime value (LTV) of that same new customer.
Hence, one of the most widely used metrics in SaaS investing is the LTV/CAC ratio, which compares the inflow of customer profit and the outflow of spending required to acquire that customer.
LTV is most meaningful when compared to customer acquisition costs (CAC), and by itself, the metric does not provide much insight.
In the SaaS industry, the target LTV/CAC ratio is 3.0x, which means that for each dollar spent to acquire customers, the company should be receiving $3.00 of value in return.
How to Increase Customer Lifetime Value (CLV)?
Since the lifetime value measures the profit that customers contribute across the duration of the business relationship, it would clearly be in the best interests of companies to increase the LTV.
CLV is one of the most important considerations when projecting revenue and costs/expenses because if economic benefits (i.e. profits) from each customer do not justify the spending, the company will eventually deplete its entire cash reserves and shut down.
Based on the estimated CLV of the existing customer base, several departments within a company will adjust their budgets and projected spending accordingly, such as:
- Product Development Costs
- Sales and Marketing Expenses (S&M)
- Advertising Campaigns
CLV can also impact the current pricing structure of a company’s line-up of products and/or services – or in more concerning cases, could lead to a complete overhaul as a final “Hail Mary” attempt to keep the company afloat.
If a company’s target (or “optimal”) CLV has been reached, that means the current strategies in place and budgets are promising, even if further adjustments in the future are inevitable.
But for the time being, the current spending on acquiring new customers and retaining existing customers via continued engagement (i.e. to minimize churn) is putting the company on track to ultimately become profitable (or improve its margins).
How to Analyze CLV in Customer Cohort Analysis?
Most companies, once a milestone regarding the valuation size or customer count has been reached, begin segmenting CLV by customer types in more detail to identify the profitable (and less profitable) areas and customer bases to which to shift their focus.
Cohort analytics consists of breaking down the existing user base into groups of customers with shared traits (e.g. date of acquisition, income level, number of employees).
Post-segmentation, a company can better understand its users’ behavioral patterns and spot trends, which are insights that the management team can use to its benefit (e.g. upsell to certain customer groups, defensive measures to reduce the likelihood of churn).
Customer Lifetime Value Calculator (CLV)
We’ll now move to a modeling exercise, which you can access by filling out the form below.
1. SaaS Business Operating Assumptions
Suppose a SaaS company has the following financial data:
- Monthly Recurring Revenue (MRR): $1m
- Number of Paid Subscribers: 50
Based on the stated assumptions, our company is generating $1m in recurring revenue each month with 50 paid subscribers (i.e. customer user accounts).
2. Average Revenue Per Account (ARPA) Calculation
- Average Revenue Per Account (ARPA) = $1m MRR ÷ 50 Accounts
- ARPA = $20k
Therefore, the company derives $20k in monthly revenue from each customer account on average.
3. Gross Contribution Per Customer Analysis
In the next step, we multiply the ARPA value by the gross margin % assumption, which will be hard-coded as 80.0% here.
- Gross Contribution Per Customer = $20k ARPA × 80.0% Gross Margin
- Gross Contribution Per Customer = $16k
Each month, the average customer contributes $16k in profits to the company – which we calculated using a simple gross margin % with no other adjustments.
4. Customer Lifetime Value Calculation (CLV)
In our next step, we divide the gross contribution per customer by the monthly churn rate, which is assumed to be 2.5% here.
- Customer Lifetime Value (CLV) = $16k Gross Contribution Per Customer ÷ 2.5% Monthly Churn = $640k
The takeaway is that for this hypothetical company, one customer is expected to generate a total of $640k in profits throughout his/her entire lifespan as a customer.
Whether the $640k CLV value is positive (or negative) depends on the customer acquisition costs (CAC), which is the amount spent to convince the customer to initially purchase the company’s products/services.
5. CLV/CAC Ratio Calculation Analysis
Let’s say that for our company, it has historically cost $640K to acquire one new customer. In that scenario, the CLV/CAC ratio is equal to roughly 1.0x (i.e. break-even).
If our company wants to become more profitable, the CLV/CAC ratio of 1.0x is a potential red flag implying that urgent changes to the business model might be required.
But assuming the CAC was $213k instead, the LTV/CAC ratio comes out to 3.0x, which is right where the company should want to be in order to be the best positioned for sustainable, long-term growth.