====== Why ClickBank stats alone are not enough ======

===== The false sense of completeness =====

ClickBank provides detailed statistics.

Sales numbers look clear.
Revenue reports feel authoritative.
Affiliate attribution appears settled.

This creates a false sense of completeness.

CBSplit was built to expose what ClickBank stats cannot show on their own.

===== ClickBank stats reflect platform outcomes, not funnel behavior =====

ClickBank stats report what happened on the platform.

They show:  
  * Completed sales
  * Affiliate credit
  * Product-level revenue
  * Marketplace performance

They do not explain:  
  * How users reached checkout
  * Which paths failed before purchase
  * What friction occurred during payment

CBSplit focuses on funnel behavior surrounding ClickBank events.

===== ClickBank sees transactions, not attempts =====

ClickBank records successful outcomes.

It does not fully surface:  
  * Failed payment attempts
  * Retry sequences
  * Fallback payment logic
  * Abandoned checkouts

A sale that required multiple retries looks identical to a clean approval.

CBSplit tracks the difference.

===== Refunds and churn arrive after the sale =====

ClickBank stats often emphasize gross sales.

Refunds and churn:  
  * Arrive later
  * Accumulate quietly
  * Distort early profitability

By the time refund impact is obvious, decisions have already been made.

CBSplit measures revenue after resolution, not at first sale.

===== ClickBank stats are aggregated by design =====

Platform stats are intentionally aggregated.

They smooth over:  
  * Traffic source quality
  * Offer path differences
  * Upsell performance
  * Subscription durability

Aggregation hides weak segments inside strong totals.

CBSplit preserves granularity.

===== ClickBank cannot explain why performance changes =====

When numbers shift, ClickBank stats show *that* something changed.

They rarely explain *why*.

Was it:  
  * Traffic quality degradation?
  * Increased payment friction?
  * Retry logic failure?
  * Refund spike?

CBSplit provides the missing causal context.

===== Platform analytics cannot guide funnel decisions =====

ClickBank analytics is not designed to answer questions like:  
  * Which paths should be scaled?
  * Which offers should be retired?
  * Which segments create processor risk?
  * Which revenue is durable?

These are funnel-level decisions.

CBSplit exists to support them.

===== ClickBank stats are necessary, but incomplete =====

ClickBank stats are authoritative within their scope.

They are:  
  * Accurate
  * Required
  * Trusted

But they are not sufficient for operating complex funnels.

CBSplit builds on top of them without replacing them.