Table of Contents
Why CBSplit is ClickBank-native by design
Built around the marketplace reality
CBSplit was not adapted to ClickBank.
It was built around it.
ClickBank has unique characteristics:
* Affiliate-driven traffic * Marketplace-level reporting * External checkout flows * Upsell chains * Subscription rebills * Delayed refunds
CBSplit was designed with these structural realities in mind.
Designed for affiliate dynamics
ClickBank ecosystems behave differently from direct-response stores.
They include:
* Multiple affiliates promoting the same offer * Diverse traffic sources * Rapid scaling and pausing * Variable messaging angles
CBSplit tracks outcome differences across affiliates and segments.
It does not treat traffic as uniform.
Built for post-transaction visibility
ClickBank reporting focuses on confirmed transactions.
CBSplit extends visibility into:
* Refund timelines * Rebill durability * Retry behavior * Cohort stability * Net revenue over time
These are critical in ClickBank environments where traffic velocity is high.
ClickBank-native attribution philosophy
ClickBank operates at marketplace level.
CBSplit operates at funnel and lifecycle level.
It is designed to:
* Respect ClickBank attribution * Avoid duplication of platform reporting * Layer outcome-based analysis on top of marketplace data
CBSplit complements ClickBank instead of competing with it.
Structured around EPC, gravity, and lifecycle impact
ClickBank affiliates rely on metrics like:
* EPC * Gravity * Average payout
CBSplit reinterprets these through outcome analysis.
It evaluates:
* Refund-adjusted EPC * Rebill-adjusted profitability * Segment-level traffic durability * Long-term ROI stability
This is ClickBank logic extended beyond the surface.
Designed for affiliate-vendor alignment
ClickBank ecosystems depend on trust between:
* Vendors * Affiliates * Payment systems
CBSplit enables vendors to:
* Evaluate affiliate quality beyond volume * Protect processor health * Reward durable traffic * Scale responsibly
These needs are specific to marketplace-based models.
Built for scale inside affiliate ecosystems
ClickBank funnels often scale quickly.
They require:
* Rapid decision-making * Cohort-based evaluation * Refund-aware scaling * Rebill-adjusted optimization
CBSplit is structured to operate under these scaling conditions.
It was not retrofitted for them.
Why “ClickBank-native” matters
Generic analytics tools are platform-agnostic.
They treat all funnels the same.
CBSplit was designed with ClickBank’s:
* Affiliate mechanics * Reporting structure * Refund timing * Subscription behavior * Traffic variability
In mind from the beginning.