Use a referral link
A referral code identifies the referring partner. The server validates the code before it becomes eligible attribution.
Walters Artificial referral program
Recommend a useful system. Attribution should follow the verified purchase.
Walters Artificial is building its referral program around validated referral codes and completed purchases rather than paying for anonymous clicks or unverified checkout attempts.
How attribution is intended to work
A referral should survive the path to purchase without becoming client-controlled payment data.
The referral layer is designed to sit beside the existing Stripe checkout and protected fulfillment system, not replace or weaken it.
Preserve validated attribution
First-party attribution can follow the visitor into checkout without allowing a buyer to set product price or payment status.
Record the paid conversion
The referral conversion is recorded only after the existing payment flow verifies that the relevant Stripe purchase actually completed.
What the program is for
Relevant recommendations, not link spam.
The program is intended for people or businesses that can point someone toward a Walters Artificial system because it genuinely matches an operating problem they are trying to solve.
- Share a specific product when it fits the recipient's work.
- Use resources to explain the underlying operating problem before promoting a purchase.
- Keep referrals distinguishable from unrelated advertising or misleading endorsements.
Before rewards go live
Reward terms will be explicit and measurable.
Walters Artificial will publish eligibility, attribution window, reward terms, payout conditions, refund treatment, self-referral rules, and other material conditions before the reward system is activated.
Until those operations are enabled, this page is an explanation of the program architecture rather than a promise that a particular reward is currently payable.
Good referrals start with useful products
Understand the catalog before recommending it.
Each product page describes the job, deliverable, fit, limitations, delivery path, and current price so a recommendation can be specific.