Agentis Solution
Stop Alias-Email Welcome Code Abuse From Eating Your Margin
When repeat buyers create new email aliases to keep reusing a first-time-only welcome discount, Agentis still enforces that the resulting orders clear your profit floor.
The Problem
A welcome discount priced for a genuine first-time customer assumes a real acquisition-cost tradeoff. When the same buyer creates alias accounts (a different email with the same name, address, or payment method) to keep claiming that discount, the economics behind the offer no longer hold, and Shopify's native discount rules have no concept of a "customer" beyond the email field, so each alias looks like a fresh, eligible one.
How Agentis Solves It
Agentis does not perform identity resolution or fraud scoring across email aliases, that is a fraud-detection problem, not a margin problem, and tools like Signifyd or Riskified are built for it. What Agentis does is evaluate every order's real profitability against your floor regardless of how many times a given discount has technically been "first-time" applied. If your welcome-discount economics only work at genuine first-purchase volume, repeated below-floor orders from the same effective customer get caught the same way any other below-floor order does.
Key Benefits
- Protects margin on welcome-discount programs regardless of alias-account volume
- No customer-identity matching or fraud scoring required
- Works alongside existing fraud tools rather than duplicating them
- Applies the same profit-floor logic used across all discount types
Platform Features
- —Real-time profit-floor evaluation on every order, independent of customer history
- —Live COGS, freight, and FX data at the moment of checkout
- —Configurable floors per promo type, including first-time-buyer codes
- —Complements identity- and fraud-focused tools rather than replacing them
Built for
Shopify Plus merchants offering first-time-buyer or welcome discounts at scale
Frequently Asked Questions
Does Agentis detect alias email accounts or duplicate customers?
No. Identity resolution across aliases is a fraud-detection capability, and dedicated tools like Signifyd or Riskified are built for it. Agentis solves a different problem: it enforces that every order, regardless of who placed it or how many times, clears your configured profit floor. Shopify's native discount rules have no concept of a customer beyond the email field, so each alias looks like a fresh, eligible first-time buyer, and Agentis does not attempt to change that. What it changes is the outcome: a welcome discount priced for genuine first-purchase economics stops being profitable when the same effective customer claims it repeatedly, and each of those orders is evaluated on live COGS, freight, and FX against your floor at checkout. Repeated below-floor orders are caught the same way any other below-floor order is, without customer-history matching. Configure a floor specifically for your store's first-time-buyer codes so the welcome economics are enforced regardless of how many aliases a buyer creates.
Can I use Agentis alongside a fraud-prevention tool?
Yes. Agentis and fraud-prevention platforms address different risks, identity and payment fraud versus margin, and are designed to run alongside each other rather than compete. The fraud tool decides whether an order is legitimate, whether the payment is genuine, and whether the customer is who they claim to be, and tools like Signifyd or Riskified are built for that identity and payment question. Agentis decides whether the order is profitable, evaluating live COGS, freight, and FX against your configured floor at checkout. An order can pass fraud review and still ship below cost, and an order can be profitable and still be fraudulent, so neither tool covers the other's gap. Running both means each order clears two independent checks before it confirms. There is no integration dependency between them, and Agentis does not need customer-identity signals from the fraud platform to enforce the floor. For your store, keep the fraud tool as your identity control and add Agentis as your margin control.
What happens when an alias account triggers a below-floor order?
The same thing that happens to any below-floor order: Agentis blocks, modifies, or redirects it per your configured policy, before it ships. Agentis does not treat the alias as a special case because it does not identify aliases at all. At checkout it evaluates the order's real profitability using live COGS, freight, and FX against your configured floor, and if the welcome discount pushes the order below that floor, the policy action fires. Blocking stops the order from completing; modifying adjusts the order so it clears the floor; redirecting routes it per your configured policy. The action is identical to what would happen to a below-floor order from a first-time customer using the same code, which is the point: the floor protects the economics of the offer rather than trying to police who is using it. Set your store's first-time-buyer floor so that only genuine first-purchase economics pass, and the alias problem becomes a margin non-event.
Key Concepts
Profit Governance
Promo Abuse
When customers exploit coupon codes, referral programs, or promotional mechanics beyond their intended use, generating orders that erode margin through illegitimate discounting.
Margin Analysis
Discount Stacking
When multiple discounts, such as a site-wide sale, a coupon code, and a loyalty reward, combine on a single order, compounding margin loss beyond what any individual promotion intended.
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