Subscription Commerce Analytics Path · Mission 17 of 25Expert

Subscriber-vs-one-time blended LTV (matched cohort)

Hybrid one-time + subscription LTV. Practice splitting a customer cohort into two buckets (subscriber vs one-time-only), aggregating revenue from two different fact tables (fact_charges for subs, fact_one_time_orders for one-time), and computing per-cohort average LTV. The output is the canonical 'is the subscription motion worth it' question every DTC operator answers in their first quarter.

Unlock with Pro→Back to Subscription Commerce Analytics

The Brief

You'll practice

Cohort matchLTV formulaHybrid revenue
← Previous
Mission 16
Next →
Mission 18
All 25 missions in Subscription Commerce Analytics Path ↓
  1. 1. Snapshot inventory by plan
  2. 2. Active subscribers by country
  3. 3. MRR by plan family
  4. 4. Q3 2024 acquisition by channel
  5. 5. Q1 2026 cancelled subscriptions
  6. 6. Monthly active subscriber trend
  7. 7. 90-day cohort retention
  8. 8. Blended revenue: subs MRR plus one-time orders
  9. 9. ARPU by plan
  10. 10. Skip rate by plan family
  11. 11. First event per subscription
  12. 12. Event-derived current state
  13. 13. Find late-arriving events
  14. 14. Subscriptions with multiple skips
  15. 15. Plan migrations Q1 2026
  16. 16. MRR walk components — Q1 2026
  17. 17. Subscriber-vs-one-time blended LTV (matched cohort)
  18. 18. NRR by signup cohort
  19. 19. Churn forensics by reason_code (Q1 2026)
  20. 20. Pause-shaped cancellations cleanup
  21. 21. 12-month cohort decay curve
  22. 22. Resurrection identification
  23. 23. Snapshot-vs-event drift report
  24. 24. Subscriber LTV with one-time spillover
  25. 25. THE MRR WALK — opening + new + expansion − contraction − churn + resurrection = closing