Customer lifetime value
CLV / LTV / lifetime value / customer equity
Customer lifetime value is the dollar value of a customer relationship, based on the present value of projected future cash flows. The LTV column in your analytics is a different quantity: measured revenue from users the tool could identify, sampled above a limit, and often zero even at the 90th percentile.
The standards-board definition is a finance definition. The Universal Marketing Dictionary describes customer lifetime value as the dollar value of a customer relationship, based on the present value of the projected future cash flows from the customer relationship. It adds that customer equity is simply the total combined CLVs for all of a company's customers. Two things follow. This is a forecast, not a record. And it is discounted, so money expected in five years is not counted as money today.
What an analytics tool reports under the same letters is built differently. The User lifetime exploration in Google Analytics shows lifetime interactions, meaning data aggregated over the lifetime of the user, next to separate predictive metrics such as purchase probability and churn probability. The lifetime part is measured history. The prediction part is a different, narrower thing sitting beside it.
Three limits sit under that column, and none of them are hidden. First, size. The sampling limit for the User lifetime technique is 1 million users for the free Google Analytics product and 10 million for the paid product. Past that, Google Analytics will use a randomized sample of those users. Second, the percentile columns often read zero, and the help page says why: oftentimes the percentile metrics for revenue metrics like LTV are zero because most users are non-purchasers. Third, the date range does not bound the history. The report provides information about these users' entire lifetime, including data from before the start of the specified range.
So the two numbers answer different questions. One projects future cash flow and discounts it to today. The other sums revenue already measured for the users one tool identified on one property, possibly from a sample. Read the second where the first is meant and you understate long relationships. You also leave out everybody the tool never recognized.
In practice
Before a lifetime value number is allowed to move a budget, it is worth asking which of the two it is. A forecast can justify paying more today for a customer who pays back over years. A backward-looking sum of measured revenue cannot, because it has already excluded the part of the relationship that has not happened yet.
Not the same as
- Revenue to date
- What a customer has paid so far is a historical fact that needs no forecast. The definition here is forward-looking and discounted, which is what makes it usable for deciding how much a new customer is worth acquiring.
- Customer equity
- The dictionary names these separately: customer equity is the combined lifetime values of every customer. One is about a relationship, the other about the whole book.
Why it matters to you
This number sets the ceiling on what you can afford to pay for a customer. It sits under every bid, budget and offer you approve. When it quietly comes from a dashboard column measuring something narrower, the ceiling comes down with it, and nothing on the report says so.
What to ask or check
- 01Is this figure a projection of future cash flow, or revenue already collected?
- 02Which customers are in it, and who is missing because the tool never identified them?
- 03Was it sampled, and what date window does it actually cover?
What people get wrong
That the LTV column in an analytics tool is customer lifetime value. It reports revenue measured for the users that tool identified inside one property, while the definition is the present value of projected future cash flows.
Red flags
- A lifetime value figure with no statement of the period behind it.
- Bids or budgets justified by a number nobody can trace to a calculation.
- A percentile column of zero read as a data fault rather than as most users never buying.
Who owns it
The definition belongs to finance and the number usually comes out of marketing tooling. That gap is where the two meanings drift apart.
Where you will see it
In the User lifetime exploration in Google Analytics, and in any spreadsheet built to justify a larger monthly spend.