Table of Contents
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.