LTV:CAC Ratio
LTV:CAC compares lifetime customer revenue to acquisition cost: the fundamental health check for whether a business's growth economics are sustainable.
Common questions
Common questions
- What is the LTV:CAC ratio?
- LTV:CAC compares the total lifetime revenue a customer generates to the cost of acquiring that customer. A ratio above 3:1 generally indicates sustainable growth economics for a SaaS or B2B business. Lower ratios mean you are spending more to acquire customers than they return over their lifetime.
- What LTV:CAC ratio should advertisers target?
- For most SaaS and B2B businesses, 3:1 is the standard healthy benchmark. DTC ecommerce targets depend on gross margin and payback period requirements. The ratio must be interpreted alongside payback period: a high ratio with a 36-month payback may create cash-flow problems for early-stage businesses.
- How do you calculate LTV accurately?
- Accurate LTV requires cohort-based tracking: following customers acquired in a specific month and measuring what they actually generate over 12, 24, and 36 months. Blended averages from all customers at a point in time are not reliable LTV. CAC must include all acquisition costs: ad spend, agency fees, and internal headcount.
LTV:CAC is the core economic health check for any business that spends money to acquire customers. If it costs $100 to acquire a customer who generates $50 in revenue over their lifetime, the business is destroying value with every acquisition. If it costs $100 to acquire a customer who generates $400 in lifetime revenue, the business has a scalable growth engine; it just needs to deploy more capital through acquisition.
A healthy LTV:CAC ratio is typically 3:1 or higher for most SaaS and B2B businesses, meaning a customer generates three times what it cost to acquire them. DTC ecommerce targets vary by gross margin and payback period requirements. The ratio must be interpreted alongside payback period: a 5:1 LTV:CAC with a 36-month payback period is fine for a well-funded company but a cash-flow problem for a bootstrapped one.
The ratio is only as good as its inputs. LTV modeling requires cohort data: tracking what customers acquired in a given month actually generate over time, not what customers on average generate in their first 90 days. CAC calculations must include all acquisition costs: ad spend, agency fees, internal headcount, and any onboarding costs. Partial CAC numbers produce misleadingly good ratios.
Example
A DTC supplement brand calculates their blended LTV:CAC at 2.1:1 and wonders why growth stalls. A channel-level analysis reveals Meta prospecting at 3.8:1 and branded Google Search at 1.2:1. The low-ratio branded channel is claiming credit for customers who would have returned organically. Budget shifts to prospecting. Blended LTV:CAC rises to 3.2:1 over two quarters.
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