Revenue
LTV (Lifetime Value)
LTV is the total revenue a customer generates throughout their relationship with your company. It's calculated as: Average Revenue Per Customer × Average Customer Lifespan.
Key Takeaway
LTV is the total revenue a customer generates throughout their relationship with your company.
Why ltv (lifetime value) matters for SaaS
LTV determines how much you can spend to acquire a customer. A LTV of $10,000 supports higher CAC than $1,000. But LTV varies by acquisition source—some keywords bring higher-value customers.
How tracerHQ measures ltv (lifetime value)
tracerHQ calculates LTV per keyword cluster by tracking revenue over time from customers acquired through each search term. You'll discover which keywords bring customers who stay longer and spend more.
LTV (Lifetime Value) in depth
Lifetime Value is the total gross profit a customer is expected to generate over the entire time they remain a customer. The most common SaaS formula is ARPA * gross margin / churn rate, which turns a churn percentage into an implied average customer lifetime. The main pitfall is that this formula assumes churn is constant and memoryless; in reality, churn is highest early and drops as customers stabilize, so naive LTV calculations systematically under-estimate value for healthy cohorts and over-estimate it for struggling ones. LTV is most actionable as a ratio against CAC (LTV:CAC > 3 is the common benchmark) and becomes a powerful segmentation tool when broken down by acquisition channel. More sophisticated teams use a cohort-based LTV model that tracks real revenue curves over time instead of the closed-form formula, which produces much more accurate numbers for businesses with non-constant churn patterns or strong expansion revenue.
LTV = (ARPA * gross_margin) / monthly_churn_rate
Examples in practice
A SaaS with $80 ARPA, 80% gross margin, and 4% monthly churn has LTV = (80 * 0.8) / 0.04 = $1,600. With CAC of $400, LTV:CAC is 4:1.
A team discovers customers from comparison-query SEO have 2.1% monthly churn while customers from paid social have 6.8% monthly churn, making SEO customers worth 3x more in LTV.
An agency builds a cohort-based LTV model for a client and finds the naive formula over-estimates LTV by 40% because early-month churn is much higher than the long-run average.
Common mistakes
- Using revenue instead of gross profit, which inflates LTV by 20-40% depending on margins.
- Applying a blended churn rate to a company with multiple plan tiers that churn at very different rates.
- Calculating LTV at the company level when the business-critical analysis is per-segment or per-source.
- Comparing LTV to CAC without accounting for payback period; high LTV does not help if you go bankrupt waiting for it.
Related terms
Track ltv (lifetime value) in your dashboard
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