Lifetime Value (LTV)
The total revenue a customer is worth over her relationship with a company. The metric that decides whether CAC math works, the four levers that move it, and the benchmarks by category.
Customer Lifetime Value, or LTV, is the total revenue a single customer generates for a company over the entire course of her relationship. It is one half of the math that decides whether a business is viable, the other half being Customer Acquisition Cost. A brand can spend whatever it wants to acquire a customer, as long as that customer is worth more than she costs to acquire. Brands that cannot answer the LTV question end up burning capital trying to grow a business that the unit economics never supported.
Most founders track revenue. The smart ones track LTV per cohort, watch it move quarter over quarter, and treat it as the single most leveraged number in the financial model.
What LTV measures
The basic formula multiplies four numbers together to estimate the revenue a single customer will generate over her relationship with the brand:
LTV = Average Order Value × Purchase Frequency × Customer Lifespan × Gross Margin
For a brand with a $60 average order, customers who reorder twice a year for three years, and 60% gross margin, LTV works out to $60 × 2 × 3 × 0.6 = $216.
There are more sophisticated versions of the formula that account for churn, discount rates, and predictive modeling, but the simple version above is the one most founders should be tracking. The more precise the calculation, the more time spent tuning numbers that move within rounding error. The version above is wrong by 10-15% in either direction, which is fine, because the LTV:CAC ratio answers the only question that matters: does the customer pay back more than she costs?
A subscription business has cleaner LTV math because the timing of revenue is predictable. A consumer products business has messier math because customers may reorder once, never, or fifty times.
The four levers that move LTV
LTV is a product of four numbers, and a founder who wants to raise LTV has four places to push.
Average Order Value (AOV) is the easiest of the four to move. Raise prices, bundle products, introduce a higher-tier SKU, or add a premium option at checkout. A 20% price increase usually does not cost 20% of customers, and the net effect on LTV is almost always positive. Women charge 32% less than men for equivalent work, which means the same customer is worth meaningfully less, and the gap closes the moment pricing aligns with value.
Purchase frequency is the second lever, and most consumer businesses underestimate how much it moves. Email sequences that prompt reorders, loyalty programs that reward repeat purchase, subscription models that automate it, and product roadmaps that give existing customers something new to buy all push frequency up. Mejuri generates roughly 40% of its revenue from repeat customers, which is what a brand built for frequency looks like.
Customer lifespan is harder to move and matters more than most founders realize. The difference between a 2-year customer and a 5-year customer is not 2.5x in LTV, it is closer to 3-4x once compounding effects are included. Retention work is the lever that outperforms acquisition work over time.
Gross margin is the fourth lever, and the one that gets ignored. Higher margins multiply every other number on the LTV formula. A founder who renegotiates COGS down by 5% sees that 5% flow directly into LTV.
Real LTV benchmarks by category
These are typical LTV ranges for healthy businesses, drawn from public investor reporting, CPG analysts, and SaaS Capital benchmarks, with individual brands varying substantially.
| Business type | Typical LTV |
|---|---|
| DTC beauty | $80 to $250 |
| DTC apparel | $90 to $300 |
| Ecommerce (general) | $100 to $400 |
| Subscription box | $150 to $500 |
| SaaS (SMB) | $2,000 to $20,000 |
| SaaS (mid-market) | $20,000 to $100,000+ |
| SaaS (enterprise) | $100,000 to $1M+ |
| Service businesses (B2C) | $300 to $2,000 |
| Service businesses (B2B) | $5,000 to $50,000+ |
| Mobile app (consumer, paid) | $30 to $150 |
The useful comparison is LTV against CAC, not LTV in isolation. An LTV of $120 looks fine until the brand discovers its CAC is $90, which leaves no room for COGS, overhead, or growth investment.
LTV is easier to grow than CAC is to cut
Founders typically focus on cutting CAC because acquisition feels like the immediate problem. The leverage in the equation usually sits on the LTV side, and the math is favorable in ways that compound.
Raising AOV by 20% raises LTV by 20%, and is often achievable with a single price test. Cutting CAC by 20% requires real channel work, better creative, and tighter targeting, and the gains rarely hold as the brand grows into more competitive auctions. A founder who can do both wins twice, but a founder who has to pick one wins more by going after LTV.
The deeper truth is that raising prices is uncomfortable in a way that running another A/B test on a Facebook ad is not. The discomfort is exactly the reason most brands sit at the floor of what their market will pay. Closing that gap is the highest-impact move in the model.
Common mistakes
Calculating LTV from revenue, not gross profit. A $200 LTV at 30% margin is worth $60 to the business, while the same $200 LTV at 70% margin is worth $140. Brands that compare gross LTV across categories miss the only number that actually pays the bills.
Using lifetime averages from too short a window. A six-month-old company cannot calculate true LTV, because most of its customers have not had time to reorder. Early-stage LTV estimates project forward from limited data, and founders who treat them as truth often over-invest in acquisition before retention is proven.
Ignoring the segment-level picture. Total LTV is an average that hides the difference between the customer who reorders quarterly and the customer who churns after one purchase. Cohort-level LTV analysis usually reveals that a small portion of customers generate most of the value, and the strategic move is to acquire more like them rather than chase the average.
Optimizing for retention while underpricing. A brand can have 80% repeat rates and still fail if its AOV is too low to support the unit economics. Retention is necessary but not sufficient, because pricing has to clear the math first.
Frequently asked questions
What is a good LTV?
There is no universal good LTV, because the number is only meaningful against CAC and gross margin. The standard benchmark is that LTV should be at least 3x CAC, and the business should recover its CAC within 12 months. A $200 LTV is excellent for a brand with $50 CAC and bad for a brand with $250 CAC.
How is LTV different from AOV?
AOV, or average order value, is what a customer spends in a single transaction. LTV is the total revenue from that customer over the entire relationship. AOV is one of four inputs into LTV, alongside purchase frequency, customer lifespan, and gross margin.
Should LTV include gross margin or just revenue?
The serious version uses gross margin, because revenue that costs 90 cents to produce is not the same as revenue that costs 30 cents. Most public benchmarks quote revenue-based LTV, but internal financial planning should use gross-profit LTV to avoid overestimating the room available for acquisition spend.
How often should LTV be recalculated?
Quarterly for most consumer businesses, monthly for subscription businesses, and per-cohort for any business serious about understanding which customers actually fund the company. LTV is a moving number, and treating last year’s figure as current is one of the most common mistakes in financial planning.
Sources
- a16z, “16 Startup Metrics,” 2015. LTV calculation methodology and SaaS benchmark ranges.
- Wall Street Prep, “LTV/CAC Ratio”. SaaS LTV benchmarks and the 3:1 ratio standard.
- Paddle (ProfitWell), “Customer Lifetime Value (CLV) Explained: Formula + Strategies”. Formula variations and the gross-profit adjustment.
- HoneyBook, “The Gender Pay Gap in Self-Employment Report,” 2019. 32% undercharging gap for women.
- First Round Review, “Customer Lifetime Value Demystified”. Cohort analysis methodology and common founder mistakes.