Most physical product founders know what lifetime value (LTV) is.

They’ve heard about it, nodded along when someone mentioned the LTV-to-Customer Acquisition Cost (CAC) ratio, maybe even calculated it once or twice…

And almost all of them are doing it wrong.

Wrong in ways that are costing them real money, ruining their acquisition decisions, and making the business look healthier than it actually is.

Here’s what I mean…

Most people define LTV as how much revenue a customer generates over their lifetime with you. Simple enough. The problem is that definition has three massive holes in it, and if you’re not filling all three, the number you’re working with is essentially useless for making real decisions.

Let me walk you through each one.

Hole #1: No Timeframe

If I told you my customers have a $1,000 lifetime value, what does that tell you?

Nothing useful.

For example, is that $1,000 generated in six months or three years? Because those are completely different businesses with completely different cash flow models and completely different ceilings on what you can afford to spend to acquire a customer.

A business where customers generate $1,000 in six months can afford to be aggressive. They get their money back fast, they can reinvest it fast, they can scale fast. On the other hand, a business where customers generate $1,000 over three year has to float 3 years worth of cash.

Yikes.

The fact is, your business doesn’t run on lifetime value. It runs on cash.

Payroll, inventory, ad spend, overhead, all of that hits on a fixed schedule.

So the question is never just “how much do customers spend?” It’s “how much do they spend, and when does that money show up relative to when I need it?”

My general rule of thumb is to track one-year LTV as my primary number for most businesses. But of course that will vary based on your goals, risk tolerance, future outlook, and several other factors.

Hole #2: No Contribution Margin Adjustment

Let’s say your customers have a $1,000 one-year lifetime value, measured in gross revenue, and your contribution margin (CM) is 50%. That means you’re only keeping $500 of that $1,000. The other half goes straight out the door to cover your variable costs.

So your real lifetime value, the number that actually matters for decisions, is $500, not $1,000.

Now let’s say you were using that $1,000 figure to set your allowable CAC. You’re making acquisition decisions based on a number that’s double your actual cash return. That’s how brands end up with a strong Return on Ad Spend (ROAS) and a bank account that never seems to grow. I’ve seen this exact scenario play out with a client who was calculating what he thought was a 5-6x ROAS. He’d spend $50K on ads, generate $300K in revenue, and feel great about it. But $300K in revenue at a 50% contribution margin is $150K in actual usable cash. He’d been making every scaling decision based on a number that was double reality.

This is why I always talk about contribution margin-adjusted LTV (CM-LTV).

This is simply LTV calculated after adjusting for contribution margin. If you have a data dashboard tracking lifetime value, check how it’s calculated. If it’s just dividing total customers by total revenue, that’s a starting point, not a decision-making tool.

Hole #3: No Cohorts

The third problem is how most people pull the data in the first place.

If you take your total customer base and divide by total revenue, you’re mixing people who bought yesterday with people who’ve been customers for three years. The person who bought yesterday has contributed almost nothing to their “lifetime value” yet. Including them drags your average down and makes the number meaningless.

The right approach is cohorts.

Let’s say it’s July and you want to understand your six-month LTV. You pull everyone who first purchased in January, and you track what they generated from January through June. Every customer in that cohort has had the full six months to behave like a customer. That gives you a clean, comparable number. For a one-year LTV, your cohort starts at least 12 months ago. For six-month, at least six months back. Anyone who hasn’t had the full window to behave like a customer doesn’t belong in the calculation.

Once you’re doing this correctly, you can start breaking it down further. Because the fact is, your LTV is going to be different by traffic channel. Facebook customers might have a 12-month CMLTV of $180. Google customers might be at $310. Same product, same price, very different customer quality because different channels attract different types of buyers.

Think about how that changes your acquisition decisions. If your Google customers are worth $130 more per year than your Facebook customers, you can afford to pay much more to acquire them.

On the other hand, if they’re worth $50 LESS than Facebook customers, you’re just burning through potential profit.

If you aren’t looking at these numbers with cohort-level, contribution margin-adjusted data by channel, you’re going to make mistakes. Period.

And of course, you can slice it even further by product, by whether they took an upsell, and whether they went through an indoctrination sequence before buying, just for a few examples.

The Three Levers That Drive LTV

Once you have your CMLTV calculated correctly by timeframe and by cohort, the next question is how to move it. There are three underlying drivers.

The first is your product.

This sounds obvious but it’s the most important one. If your product doesn’t deliver on the promise you made in your marketing, customers won’t come back. Period. They bought because they believed you could solve a problem. If the product didn’t solve it, that relationship is over after the first transaction.

This is something I learned in a decade of direct response copywriting. There’s a fine line between aggressive, high-converting copy and over-promising. You want your copy to be compelling, visceral, loaded with proof and benefits. But if what you’re describing isn’t what the product actually delivers, you’re buying one-time buyers at a premium and wondering why your LTV is terrible.

If you want hard-hitting copy, make sure you have a hard-hitting product underneath it. They have to match.

The second driver is integration.

Getting customers to use your product consistently is what drives repeat purchase. If they buy and don’t use it, they don’t reorder, don’t subscribe, don’t tell friends. The goal is to get your product into their daily routine. That means post-purchase education, usage reminders, ideas for how to use it, content that reinforces the habit.

When I built a prebiotic fiber product back in 2019, I spent months working with the manufacturer specifically so the product would mix cleanly into coffee. Because I knew that if I could get it into their morning routine, they’d use it every day and reorder every month without thinking about it. The product was designed around the habit.

You’re selling a habit. The bottle is just the delivery mechanism.

The third driver is product architecture.

If you only sell one type of product, you’re leaving significant LTV on the table. When you break down everything people can buy, it comes down to four categories: physical products, information, services, and software. If you’re a physical product brand and that’s all you sell, you’re only playing in one quadrant.

Think about what problem your product solves and what naturally comes next. If you sell a weight loss supplement and it works, what does that customer need now? Maybe different clothes. Maybe a muscle-building program. Maybe coaching. Each of those is a natural ascension point that serves the customer’s actual journey and increases their total value to your business.

Plus, those add-ons often have dramatically higher contribution margins than your core physical product. If your main product runs at 50% CM and you add an information product or a service at 80-90% CM, you’re increasing overall contribution margin while simultaneously increasing LTV. That combination hits two levers at once.

The best part?

You don’t even have to own everything. I’m a huge fan of strategic alliances, where you refer customers and take a commission give you 100% CM on the referral revenue, because there are no variable costs on your end.

There are MANY ways to do this, and it’s a great way to test new offer, see what your market reponds to, increase margin, improve customer experience, and so many other things all at once.

Where to Start

If you’ve been running your business on a blended lifetime value number without timeframes, without contribution margin adjustment, and without cohort tracking, start there before you touch a new acquisition channel or new creative. Get the real number first.

Pull a cohort from 12 months ago. Track what they generated through the period. Adjust for your real contribution margin. Break it down by your top two or three acquisition channels.

That exercise alone will show you things about your business you probably don’t know. Which channels are producing profitable customers. Where your biggest LTV gap is. What a 20% improvement in that number would actually do to your profit. Then you’ll know exactly what to build.

If you want a framework for working through all of this systematically, my book The Scalable Profit Model covers LTV alongside the other four profit levers in detail, including how to calculate CMLTV correctly and how to build an ascension model for your specific business.

You can grab it at https://scaleadvisors.com/book.

Or if you’d rather work through it with someone who’s run this play across dozens of physical product brands, just get in touch.

That’s what I do.