Table of Contents
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.