====== Why traditional split testing tools stop at checkout ====== Most traditional split testing and A/B testing tools work well on landing pages. They optimize things like: * Headlines * Buttons * Hero images * Pricing blocks But the moment a user clicks **Buy Now** and enters checkout, these tools silently stop working. This is not a coincidence. It is a structural limitation of how legacy experimentation tools were designed. CBSplit exists specifically because of this gap. ===== 1. Checkout is usually not owned by the site ===== In modern affiliate and SaaS funnels, checkout is often: * Hosted on third-party platforms * Embedded via iframe * Redirected to a payment processor domain Common examples include: * Sticky.io * CheckoutChamp * Digistore24 * ThriveCart * Custom PSP-hosted flows Traditional split testing tools rely on: * JavaScript injected on your own domain * DOM-level manipulation * Page-level variation assignment Once the user leaves your domain, that control is lost. CBSplit was designed with the assumption that checkout is **external**, not internal. ===== 2. Checkout systems are stateful and fragile ===== Landing pages are mostly stateless. You can reload them without consequences. Checkout pages are different. They are: * Session-bound * Tokenized * Order-state dependent Small changes can: * Break order attribution * Invalidate payment tokens * Trigger fraud protection rules Most testing tools intentionally avoid checkout to reduce operational and legal risk. CBSplit operates **around checkout state**, instead of injecting scripts blindly into it. ===== 3. Payment compliance blocks experimentation ===== Checkout pages operate under strict controls such as: * PCI compliance * Fraud detection systems * Risk scoring engines Injecting uncontrolled third-party scripts can: * Increase compliance risk * Violate processor terms * Raise fraud flags Because of this, checkout providers often restrict: * Script execution * DOM mutation * External tracking tools CBSplit does not try to bypass these restrictions. Instead, it routes logic **before checkout** and **after checkout** where it is safe and reliable. ===== 4. Traditional tools optimize clicks, not revenue ===== Most A/B testing tools are designed to optimize: * Click-through rate * Button engagement * Page-level conversions They stop measuring the moment the user leaves the page. Critical checkout outcomes such as: * Payment declines * Retry success rates * Upsell acceptance * Subscription retention Remain invisible to them. CBSplit treats checkout as a **revenue engine**, not a black box. ===== 5. Attribution breaks after the first redirect ===== Standard split testing tools rely on: * Browser cookies * Client-side identifiers * Session continuity Checkout flows often involve: * Cross-domain redirects * Server-to-server callbacks * Asynchronous payment confirmations Attribution breaks at this point. CBSplit uses: * Server-side event stitching * Order-level identifiers * Postback-driven attribution This replaces browser guesses with transaction truth. ===== 6. Checkout variation requires infrastructure, not UI tweaks ===== Proper checkout testing involves changing things like: * Offer structure * Billing model * Retry and decline logic * Subscription terms This is not a CSS or UI problem. It is a systems-level problem. CBSplit operates at the system layer, not as a page decorator. ===== 7. Why most tools stop, and why CBSplit starts ===== Traditional split testing tools stop at checkout because: * They lack domain control * They avoid compliance risk * They cannot safely handle state * They optimize surface metrics CBSplit starts at checkout because: * That is where revenue is decided * That is where failures happen * That is where optimization has real impact ===== Summary ===== Traditional split testing tools were built for marketing pages. They were not built for: * Payment systems * Retry logic * Subscription economics * True revenue attribution CBSplit exists to operate precisely where other tools deliberately stop. At checkout.