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 checks that the resulting orders clear your profit floor, and flags or holds the ones that don't before they ship.
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 check every order's real profitability against your floor within 60 seconds of it being placed, 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 are flagged or held before fulfillment the same way any other below-floor order is.
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
- —Per-order profit-floor check on every order, independent of customer history
- —Live COGS, freight, fees, and FX on every order checked
- —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 checks 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 checked on live COGS, freight, fees, and FX against your floor within 60 seconds of being placed. Configure a floor specifically for first-time-buyer codes so the welcome economics hold 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. The fraud tool decides whether an order is legitimate, whether the payment is genuine, and whether the customer is who they claim to be. Agentis decides whether the order is profitable, checking live COGS, freight, fees, and FX against your floor after the order is placed. 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 ships. There is no integration dependency between them, and Agentis does not need identity signals from the fraud platform to apply the floor. 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 flags it or holds it before fulfillment, per your configured rule. It does not treat the alias as a special case, because it does not identify aliases at all. Within 60 seconds of the order being placed, it computes the order's real profitability from live COGS, freight, fees, and FX, and if the welcome discount pushed the order below the floor, the action fires. A flag alerts your team with the leak and a recommended fix while the order continues; a hold keeps the order from shipping until someone releases, adjusts, or cancels it. The action is identical to what would happen to a below-floor order from a genuine 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.
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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