Customer lifetime value (LTV)
Customer lifetime value is the total gross profit you expect from a customer across the whole relationship. It is used mainly as a ratio against customer acquisition cost to decide how much you can afford to spend winning a customer, which means the assumptions behind it matter more than the number itself.
How it is calculated
A common form is average revenue per account, multiplied by gross margin, divided by churn rate. Using revenue rather than gross profit is the most frequent error and inflates the figure by whatever your cost of delivery is.
Why it is fragile
Dividing by churn assumes churn is constant and that customers behave like a single population. Early-stage businesses have too little history for a stable churn figure, so the resulting lifetime value is a projection built on a projection.
How to use it responsibly
Treat it as a segment-level planning tool rather than a per-customer fact, calculate it separately per segment because blended figures hide the mix, and always state the assumptions alongside the number.
How Autocloz handles it
Autocloz reports pipeline, deal value and channel attribution so you can see which sources produce the deals that close. Lifetime value itself depends on billing and margin data that lives in your finance system; the free [CAC and LTV calculator](/tools/cac-ltv-calculator) does the arithmetic.
FAQ
How do you calculate LTV?
A common formula is average revenue per account multiplied by gross margin, divided by churn rate. Use gross profit rather than revenue — using revenue overstates the figure by your entire cost of delivery.
What is a good LTV to CAC ratio?
A ratio of roughly three to one is widely used as a planning benchmark, but it is a rule of thumb rather than a law, and it depends on payback period and how confident you are in the churn figure underneath the lifetime value.
Related terms
Generative Engine Optimization (GEO), also called Answer Engine Optimization (AEO), is the practice of structuring content so AI answer engines (ChatGPT, Claude, Perplexity, Google AI Overviews) can extract, cite and recommend it. It complements SEO: SEO wins the click, GEO wins the citation.
A CRM (Customer Relationship Management) system is software that stores and organizes your contacts, companies, deals and interactions in one place, so a team can manage relationships and a sales pipeline. Modern CRMs also automate follow-up, reporting and, increasingly, AI-assisted outreach.
Lead enrichment is the process of automatically adding missing data to a lead or company record — job title, company size, industry, verified email, phone, LinkedIn, technographics — from third-party data sources, so reps can segment, personalize and prioritize without manual research.
An Ideal Customer Profile (ICP) is a description of the company that gets the most value from your product and is easiest to win and retain — defined by firmographics like industry, company size, revenue, geography and technology stack. It targets accounts (the company), distinct from a buyer persona, which describes the individual within the account.