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Lesson 4 of 6

Repeat Purchase and Lifetime Value

7 min read

The average prop trading customer does not make a single purchase. Many traders buy multiple challenges, purchase resets after failing, and try different account sizes over weeks or months. Tracking this repeat purchase behavior and attributing it correctly to the referring affiliate is essential for accurate commission calculations and fair partner compensation.

The Prop Trading Purchase Funnel

A typical purchase sequence looks like this: a trader buys a $25,000 challenge for $199. They fail and buy a reset for $40. They fail again and buy another reset. Eventually they either pass or abandon the product. Some traders then purchase a second challenge at a higher tier -- a $50,000 account for $299. This creates a multi-touch purchase chain that can span 2-6 months.

If the affiliate only earns on the first purchase, they capture perhaps 30-40% of the actual customer value they delivered. Repeat purchase attribution ensures the affiliate earns on the full value chain their referral created.

Attribution Windows

The attribution window defines how long after the initial referral the affiliate continues earning on that customer's purchases. Common windows in prop trading range from 30 days (short, covers only immediate purchases) to lifetime (every purchase the customer ever makes).

Window LengthCoverageUse Case
30 daysInitial purchase + immediate resetsConservative programs, high-fraud verticals
90 daysChallenge + resets + one additional challengeStandard for most programs
180 daysFull challenge cycle including seasonal returnsMature programs with stable partner base
LifetimeAll future purchasesPremium affiliate deals, exclusive partnerships

A 90-day attribution window covers the full lifecycle of most challenge attempts (purchase, evaluation period, reset, retry). This window captures the majority of repeat purchase value without committing the firm to indefinite commission obligations.

Tracking Repeat Purchases

Repeat purchase tracking requires linking the customer identity -- typically email or user ID -- back to the original affiliate referral. When the same customer makes a second purchase, the system checks the attribution record: was this customer originally referred by an affiliate, and is the attribution window still active?

  • First-party customer ID links all purchases to the original referral record
  • Cookie-based attribution can miss repeat purchases on different devices or browsers
  • Server-to-server (S2S) postback integration is more reliable for multi-purchase tracking
  • Coupon codes provide a secondary attribution signal when link tracking breaks
  • Clear attribution hierarchy is needed when a customer interacts with multiple affiliates before a repeat purchase

Customer Lifetime Value for Commission Design

Understanding customer LTV lets you set commission levels that stay profitable over the full purchase chain. If the average referred customer generates $450 in total revenue (initial challenge + 2 resets + one upgrade), and your target commission ratio is 15%, the total commission budget per customer is $67.50. You can split this as a $45 CPA on the first purchase plus 10% RevShare on resets and upgrades.

Without LTV data, firms tend to overpay on CPA (not accounting for the full revenue a customer generates) or underpay on ongoing deals (missing the reset and repeat revenue that affiliates influenced). LTV-informed deal design prevents both problems.

Key Takeaways

  • The average prop trading customer makes 2-4 purchases (challenge + resets + upgrades) over their lifecycle
  • A 90-day attribution window captures most repeat purchase value without indefinite commitment
  • S2S postback integration is more reliable than cookies for multi-purchase attribution
  • Customer LTV data should directly inform commission levels -- set payouts as a percentage of expected total revenue
  • Without repeat purchase tracking, affiliates capture only 30-40% of the value they actually deliver