====== Why CBSplit tracks customer journeys not pages ======

===== The page-level limitation =====

Traditional analytics tools are page-focused.

They measure:

  
  * Page views
  * Click paths
  * Time on page
  * Bounce rates
  * Conversion events

These metrics describe surface interaction.

They do not describe revenue durability.

CBSplit was built to track journeys, not pages.

===== Pages are moments. Journeys are lifecycles =====

A page represents:

  
  * A single interaction
  * A step in a sequence
  * A short-term decision point

A customer journey includes:

  
  * Pre-click intent
  * Purchase behavior
  * Upsell decisions
  * Refund timing
  * Rebill cycles
  * Long-term retention

Revenue is defined by the journey, not the page.

===== Page analytics stop at checkout =====

Most tools can track:

  
  * Landing page conversion
  * Checkout initiation
  * Order confirmation

After that, visibility weakens.

They rarely integrate:

  
  * Refund reconciliation
  * Subscription survival
  * Retry logic
  * Chargeback exposure

CBSplit extends tracking beyond the page boundary.

===== Journey tracking reveals intent strength =====

Customer quality becomes visible through:

  
  * Refund behavior
  * Rebill consistency
  * Churn velocity
  * Cohort stability

These signals unfold over time.

Page-level metrics cannot infer lifecycle durability.

===== Upsell and backend interactions matter =====

Revenue systems often include:

  
  * Multi-step upsell flows
  * External checkout systems
  * Subscription billing platforms
  * Cross-domain redirects

Page analytics fragment these events.

CBSplit stitches them into a unified journey.

===== Traffic source meaning emerges in journeys =====

Two traffic sources may show identical page metrics.

Over time, their journeys may differ:

  
  * One produces stable subscribers
  * One generates refund clusters
  * One maintains long-term value
  * One churns quickly

Page data hides this divergence.

Journey data reveals it.

===== Scaling decisions require lifecycle visibility =====

Scaling based on page performance alone can:

  
  * Inflate revenue volume
  * Increase refund exposure
  * Reduce retention durability
  * Raise processor risk

Lifecycle visibility prevents premature scaling.

CBSplit aligns decisions with full journey data.

===== Revenue durability is a journey outcome =====

True performance measurement requires:

  
  * Refund-adjusted revenue
  * Rebill-adjusted LTV
  * Cohort-level retention analysis
  * Risk-aware evaluation

These metrics emerge from journeys.

Not pages.