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E-commerce

Discount Leakage Desk

WELCOME15 is on Honey. Repeat buyers are checking out at first-timer prices.

Stops evergreen and leaked codes from quietly eroding margin, especially on customers who would have paid full price.

Best forB2BB2b2cB2C
Agents5 required
Duration4-6 minutes

WELCOME15 is on Honey. Repeat buyers are checking out at first-timer prices. Stops evergreen and leaked codes from quietly eroding margin, especially on customers who would have paid full price.

How it runs

Multi-agent orchestration — here's the flow, step by step.

01

Pull orders for the window (default 30 days) with discount_codes, total_discounts, customer.orders_count. Attempt a price-rule list via Shopify long-tail; if unsupported, continue order-derived.

ecommerce scanner
02

Score leakage: discount $ and rate, per-code uses and $, returning-customer share, generic evergreen names. Rank offenders.

data analyst
03

Draft the retire list and unique single-use replacement payloads. Do not call shopify_create_discount_code until explicit approval.

pricing analyst
04

Write the leakage brief: one-line $, code table, retire list, replacements awaiting approval. Memorize offender codes.

executive briefing writer
05

Deliver in-hub or email. No code created unless the user approved in this session.

distributor

Required Agents

5
  • ecommerce-scanner
  • data-analyst
  • pricing-analyst
  • executive-briefing-writer
  • distributor

Connections

Required

shopify

Optional

gmailresendmetagoogle

What it does

  • Discount $ from live orders, not a guess
  • Returning-customer use of welcome-named codes as headline evidence
  • Retire list plus unique replacements
  • HITL on every discount create
  • Honest degrade if price-rule list is unavailable

Example prompt

How much did discounts cost us last 30 days, and which codes should die?

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