====== Why ClickBank tracking cannot show customer quality ======

===== The transaction lens =====

ClickBank tracking is transaction-focused.

It reports:

  
  * Sales
  * Affiliate credit
  * Gross revenue
  * Marketplace statistics

This lens is useful.

But it only sees the transaction.

Customer quality extends far beyond the transaction.

CBSplit was built to measure what happens after the sale.

===== A sale does not equal a high-quality customer =====

A customer can:

  
  * Purchase impulsively
  * Request a refund
  * Cancel immediately
  * Dispute a charge

All of these begin with a successful sale.

ClickBank tracking counts the sale.

It does not determine the durability of the customer.

===== Customer quality is revealed over time =====

True customer quality becomes visible through:

  
  * Refund behavior
  * Subscription retention
  * Rebill consistency
  * Support interaction patterns
  * Long-term engagement

These signals emerge after the initial transaction.

ClickBank tracking stops at confirmation.

CBSplit continues observing the lifecycle.

===== Two customers can look identical in ClickBank stats =====

From a tracking perspective, two customers who purchase appear equal.

In reality:

  
  * One may rebill consistently
  * One may refund immediately
  * One may churn after the first cycle
  * One may generate long-term LTV

ClickBank tracking does not differentiate them.

CBSplit does.

===== Traffic source affects customer durability =====

Customer quality often varies by:

  
  * Traffic source
  * Messaging alignment
  * Funnel path
  * Upsell exposure

ClickBank tracking credits the affiliate.

It does not evaluate the downstream stability of the customer.

CBSplit connects lifecycle outcomes to traffic segments.

===== Refund-adjusted revenue reflects customer intent =====

High-quality customers:

  
  * Rarely refund
  * Maintain subscriptions
  * Produce clean payment approvals
  * Create predictable LTV

Low-quality customers:

  
  * Refund quickly
  * Dispute charges
  * Churn rapidly
  * Increase processor risk

ClickBank tracking records both equally at checkout.

CBSplit separates them over time.

===== Aggregated reporting hides variance =====

Marketplace-level stats aggregate customer behavior.

Aggregation smooths over:

  
  * Cohort differences
  * Refund clustering
  * Subscription decay rates
  * Payment friction patterns

Customer quality is a granular attribute.

CBSplit preserves granularity.

===== Customer quality determines long-term viability =====

Revenue stability depends on:

  
  * Low refund ratios
  * Strong rebill retention
  * Predictable lifetime value
  * Minimal processor risk

These qualities cannot be derived from initial transaction data alone.

CBSplit aligns measurement with lifecycle durability.