LTV Checklist for Growth Leads

Why LTV Matters for Growth Decisions

LTV determines how much a brand can spend to acquire a customer and still be profitable. If LTV is $200 and CAC is $80, the brand has $120 in margin to cover overhead and reinvest. If CAC creeps to $150, that margin collapses.

Growth leads use LTV to set paid acquisition budgets, evaluate channel profitability, and diagnose why campaigns that looked good on day 7 fail by month 3. A campaign with strong day-1 ROAS can destroy unit economics if it attracts one-time buyers.

The LTV Calculation Checklist

LTV requires three inputs: repeat purchase behavior, order economics, and time horizon. The most common failure is using incomplete data or mismatched cohorts.

Define cohort window - use monthly or quarterly cohorts by first purchase date, not by traffic source alone
Calculate average order value (AOV) - sum of all orders in period divided by order count; exclude returns and refunds
Measure repeat purchase rate - percentage of first-time buyers who place a second order within 12 months
Apply gross margin % - (revenue minus COGS) divided by revenue; use actual margin, not assumed
Set time horizon - 12 months is standard for DTC; 24 months for higher-ticket or subscription models
Formula: (AOV × repeat rate × gross margin %) - CAC = LTV contribution
Validate against cohort data - spot-check by pulling 2-3 actual cohorts and comparing calculated vs. observed repeat rates

Benchmarks and Decision Thresholds

LTV / CAC ratio is the primary health metric. A ratio below 3:1 signals either high acquisition cost or weak repeat behavior. Below 2:1 is unsustainable without major operational changes.

LTV / CAC = 3:1 or higher - healthy; brand can reinvest 50%+ of LTV back into acquisition
LTV / CAC = 2:1 to 3:1 - caution zone; repeat rate or AOV needs improvement before scaling acquisition
LTV / CAC below 2:1 - stop new channel testing; audit repeat purchase funnel and product margins first
Repeat purchase rate below 20% - investigate product quality, post-purchase experience, or audience fit
Repeat purchase rate 20% - 35% - acceptable for most DTC; target 40%+ for mature brands
AOV stagnation month-over-month - signals weak upsell or bundle strategy; audit cart abandonment and product recommendations

Common Failure Modes

Growth leads often miscalculate LTV by mixing cohorts, using incomplete data windows, or ignoring channel-specific repeat rates.

Mixing paid and organic cohorts - repeat rates differ; calculate LTV separately by channel, then blend if needed
Using 90-day repeat rate as proxy for 12-month - early repeaters skew high; wait for full cohort maturity before declaring success
Ignoring refund and chargeback rates - reduce AOV by actual refund %, not assumed; high refund cohorts have lower true LTV
Assuming margin is constant across cohorts - seasonal or promotional cohorts may have different COGS or discount depth
Counting subscription revenue as one-time LTV - subscriptions require separate calculation with churn rate and retention curves
Not accounting for customer service and fulfillment costs - gross margin is not net margin; deduct per-order fulfillment costs before LTV calculation

Debugging Underperforming Cohorts

When a cohort's LTV falls below target, isolate which variable is the culprit: acquisition cost, repeat rate, or order value.

Step 1 - Compare repeat rate to prior cohorts; if down 5%+ points, audit product quality, shipping speed, or email nurture sequence
Step 2 - Check AOV; if flat or declining, review average items per order and bundle attach rate; test product recommendations
Step 3 - Verify CAC attribution; confirm pixels are firing, UTM parameters are clean, and multi-touch attribution is not inflating cost
Step 4 - Segment by traffic source within cohort; paid social may have lower repeat rate than email or organic
Step 5 - Analyze by product category; some cohorts may skew toward low-repeat categories (e.g., one-time gifts vs. consumables)

Timing and Refresh Cadence

LTV is a lagging metric. A cohort needs 12 months of data to mature, but growth leads can use early signals to flag risk.

Month 1 - 3: Monitor day-7 and day-30 repeat rate; flag if below 5% by day 30 (suggests product or messaging misalignment)
Month 3 - 6: Calculate 90-day LTV; compare to prior quarter cohorts; adjust CAC budget if trend is negative
Month 6 - 12: Finalize 12-month LTV; use for annual channel and product strategy review
Refresh monthly - recalculate LTV for all mature cohorts (6+ months old); track as leading indicator for next quarter's profitability

LTV and Channel Strategy

Different channels produce cohorts with different repeat rates and AOVs. Growth leads must calculate LTV by channel to avoid subsidizing unprofitable acquisition.

Paid social - typically lower repeat rate (15% - 25%); higher CAC; requires strong product fit to justify
Email / organic - higher repeat rate (30% - 50%); lower CAC; often the most profitable channel long-term
Influencer / affiliate - variable; depends on audience alignment; calculate separately before scaling
Paid search - high intent; repeat rate often 25% - 35%; validate LTV before increasing bid
Test new channels at fixed CAC budget, not fixed ROAS target; measure LTV after 3 months before deciding to scale

Questions

FAQ

How do we handle customers who haven't completed a repeat purchase yet?

Include them in the cohort as non-repeaters (0 purchases). Do not exclude them. The repeat purchase rate is the percentage of the full cohort that repeats, not the average order frequency of repeaters only. Excluding non-repeaters inflates the metric and masks acquisition quality issues.

Should we calculate LTV differently for subscription vs. one-time purchase products?

Yes. For subscriptions, use churn rate and average subscription lifetime instead of repeat purchase rate. Formula: (monthly subscription revenue × (1 / monthly churn rate)) - CAC. For hybrid models, calculate each product type separately, then weight by revenue mix.

What if our repeat purchase rate is very high but LTV is still low?

Check AOV and gross margin. High repeat rate with low AOV means customers are buying small, low-margin items. Audit upsell and cross-sell strategy, bundle pricing, and product mix. Also verify that repeat rate is not inflated by returns or exchanges being counted as new orders.

How do we account for seasonal variation in LTV?

Calculate LTV separately for each season (e.g., holiday cohorts vs. non-holiday). Holiday cohorts often have higher AOV but lower repeat rates due to gift purchases. Use non-holiday cohorts as the baseline for budget decisions, and treat holiday cohorts as upside. Do not blend them into a single LTV figure.

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