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Expansion RevenuevsLifetime Value (LTV)

Both are essential business concepts — but they measure very different things.

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The Concept

📈Expansion Revenue

Expansion revenue is additional revenue generated from existing customers through upsells, cross-sells, add-ons, or usage growth — without acquiring a single new customer. It's the engine behind Net Revenue Retention above 100%. If your existing customer base generated $100K last month and generates $108K this month with no new sales, you have $8K in expansion revenue (8% expansion rate). Snowflake's 158% NRR is almost entirely driven by usage-based expansion — their customers spend more every quarter as their data volumes grow.

Lifetime Value (LTV)

Lifetime Value is the total revenue you can expect from a single customer over the entire duration of your relationship. It is the most critical number for understanding how much you can afford to spend on acquiring customers. The simplest formula: LTV = ARPU ÷ Monthly Churn Rate. A customer paying $100/month with 5% monthly churn has an LTV of $2,000. Netflix's LTV exceeds $1,200 per subscriber because churn is below 2.5% — this justifies their $17B+ annual content spend. LTV is the roof of your building: it determines the maximum CAC you can afford, the features you can build, and the team you can hire.

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The Trap

📈Expansion Revenue

The trap is treating expansion as 'bonus' revenue instead of a deliberate growth strategy. Many companies invest 90% of their GTM budget on new logos and 10% on expansion, when the math shows the opposite priority: expansion revenue costs 3-5x less to generate than new customer revenue, and customers who expand have 60-80% lower churn rates than non-expanders. Another trap: confusing price increases with organic expansion. A forced 15% price hike generates 'expansion revenue' on paper but actually increases churn risk.

Lifetime Value (LTV)

Most founders massively overestimate LTV by assuming customers will stay forever. In reality, early-stage startups have limited cohort data. A startup with 6 months of history claiming $3,000 LTV is extrapolating a trend that hasn't been validated. Use conservative estimates (12-24 months cap) until you have 3+ cohorts with 12+ months of data. Also, LTV should be calculated on gross margin, not revenue — a $2,000 LTV with 50% gross margin means only $1,000 in actual profit to cover acquisition costs.

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The Action

📈Expansion Revenue

Track Expansion MRR separately from New MRR. Calculate your Expansion Rate = (Expansion MRR ÷ Beginning-of-Month MRR) × 100. Target: 3-5% monthly expansion rate for healthy SaaS. Then build deliberate expansion paths: (1) usage-based pricing tiers that customers naturally grow into, (2) add-on features released quarterly, (3) seat-based pricing where team growth = revenue growth. Ensure your CS team has expansion targets, not just retention targets.

Lifetime Value (LTV)

Calculate LTV two ways: (1) Simple: ARPU ÷ Monthly Churn Rate. (2) Cohort-based: track actual revenue from each monthly cohort over time. Compare them — if your cohort LTV is lower than your formula LTV, your churn rate is misleading you (possibly due to early-life churn spikes). Always report Gross Margin-adjusted LTV: LTV × Gross Margin. This is the number that matters for unit economics.

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Formulas

Expansion Rate = (Expansion MRR ÷ Beginning MRR) × 100
LTV = ARPU ÷ Monthly Churn Rate

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