One number, two departments – How to get marketing and finance on the same page (with CLV)

Black Friday is here in Romania, and with it comes the usual rush: bigger discounts, louder campaigns, record traffic. The sales report will look great. But there’s a better question to ask now: of all the customers you win this month, how many will still be buying from you next spring?

That’s the question that makes the next budget meeting tense. The marketing team says the campaign brings in customers at €50 each. The finance department asks the obvious follow-up: “And what are they worth?”
Silence. Or worse, two different answers.

Customer Lifetime Value (CLV) answers that question. It estimates the discounted profit a customer brings over their whole relationship with your brand, and it’s useful far beyond marketing.

Two customers, one problem

Take an online grocery store with two customers, Ana and Bogdan. Both placed four orders last year. Ana’s last order was last week. Bogdan’s was seven months ago.
On paper they look identical. Yet you know Ana is probably still around, and Bogdan has probably drifted away without telling anyone.

That’s the catch in retail, e-commerce or travel: nobody cancels, customers just stop buying. A simple rule of thumb, like “future value equals a fraction of past value”, would treat Ana and Bogdan the same. It’s easy, but unreliable and hard to explain.

Turning intuition into a model

Our approach puts that intuition on solid statistical ground. It’s a well-established method that asks two plain questions about every customer:

• How many more times will they buy? The model looks at how often and how recently someone bought, and estimates how likely they are to still be active.
• How much will they spend each time? It estimates a typical order value, balancing the customer’s own history with what similar customers spend.

Multiply the two, then adjust for the fact that money next year is worth less than money today. That’s your CLV. For Ana, the number is solid. For Bogdan, it’s close to zero, even though their histories match. And every step is a clear assumption, so you can explain it to anyone in the room.

Back to the budget meeting

Say marketing has €100,000 and two options (the numbers are made-up, to keep things simple):

• Option A: discount ads. Each new customer costs €50 and is expected to bring €120 in profit over time.
• Option B: a referral programe. Each customer also costs €50, but is expected to bring €168, because referred customers tend to buy more often and stay longer.

Per euro spent, A earns back €2.40 and B earns back €3.40. A common rule of thumb says a healthy business earns back about €3 for every €1 spent winning customers. B clears that bar. A doesn’t.

Then the finance asks, “How did you get €168?” If marketing counted revenue and finance counts profit, or the teams assume different customer lifespans, the numbers won’t match and the discussion stalls. So both agree up front on three things: revenue or profit, how long customers stay, and how much to discount future earnings.

With shared assumptions, the conversation shifts from “whose number is right?” to “should we do this?” CLV stops being just a marketing KPI and becomes a bridge between customer strategy and shareholder value.

How to get started

Done well, CLV changes what your customers experience. Your best customers get better service and rewards. Drifting ones hear from you before they’re gone. And you stop spending on promotions that attract one-time buyers.

1. Pick one question about your customers. For example: which channel brings customers who stay and keep buying? Projects without a clear question tend to stall.
2. Start simple. A basic view of how much customers spend and how often they buy is enough for early insights. Add margins, acquisition costs and predictions for individual customers as your data improves.
3. Bring finance in from day one. Agree on definitions together, and let them check the method. Some companies set up a small CLV steering group with marketing, finance and analytics.
4. Follow customers in groups. Compare customers by the month, campaign or channel they joined through, to see whether new customers are worth more than the ones you won last year.
5. Compare predictions with reality. Check what customers actually did against what you expected, and adjust as their behavior changes.

CLV won’t make the marketing and finance agree on everything, but it gives them one number, built on shared assumptions, to disagree about productively.

Before your next campaign, want to see what CLV looks like on your own customer data? Get in touch with our team.

Photos @Unsplash