Shopify Admin Sales By Channel Report

Purpose

Analyzes orders by their source channel to produce a revenue, units sold, and AOV breakdown per channel. Helps multi-channel merchants understand where revenue is coming from — Online Store, POS, Draft Orders (B2B), mobile app, or third-party channels. Read-only — no mutations.

Prerequisites

• Authenticated Shopify CLI session: shopify store auth --store <domain> --scopes read_orders
• API scopes: read_orders

Parameters

Safety

ℹ️ Read-only skill — no mutations are executed. Safe to run at any time.

Workflow Steps

1. OPERATION: orders — query Inputs: query: "created_at:>='<NOW - days_back days>'", first: 250, select channelInformation { channelDefinition { handle, displayName } }, totalPriceSet, lineItems { quantity }, pagination cursor Expected output: Orders with channel attribution; paginate until hasNextPage: false

2. Group by channel.displayName; calculate per-channel: order count, total revenue, total units, AOV

GraphQL Operations

graphqlCopy code
# orders:query — validated against api_version 2025-01
query OrdersByChannel($query: String!, $after: String) {
  orders(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        name
        createdAt
        totalPriceSet {
          shopMoney {
            amount
            currencyCode
          }
        }
        channelInformation {
          channelDefinition {
            handle
            displayName
          }
        }
        lineItems(first: 50) {
          edges {
            node {
              quantity
            }
          }
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

Session Tracking

Claude MUST emit the following output at each stage. This is mandatory.

On start, emit:

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╔══════════════════════════════════════════════╗
║  SKILL: Sales by Channel Report              ║
║  Store: <store domain>                       ║
║  Started: <YYYY-MM-DD HH:MM UTC>             ║
╚══════════════════════════════════════════════╝

After each step, emit:

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[N/TOTAL] <QUERY|MUTATION>  <OperationName>
          → Params: <brief summary of key inputs>
          → Result: <count or outcome>

On completion, emit:

For format: human (default):

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══════════════════════════════════════════════
SALES BY CHANNEL  (<days_back> days)
  Total revenue:  $<amount>
  Total orders:   <n>

  Channel             Orders  Revenue    AOV      Units  Share
  ─────────────────────────────────────────────────────────────
  Online Store        <n>     $<n>       $<n>     <n>    <pct>%
  POS                 <n>     $<n>       $<n>     <n>    <pct>%
  Draft Orders        <n>     $<n>       $<n>     <n>    <pct>%
  Output: sales_by_channel_<date>.csv
══════════════════════════════════════════════

For format: json, emit:

jsonCopy code
{
  "skill": "sales-by-channel-report",
  "store": "<domain>",
  "period_days": 30,
  "total_revenue": 0,
  "total_orders": 0,
  "currency": "USD",
  "by_channel": [],
  "output_file": "sales_by_channel_<date>.csv"
}

Output Format

CSV file sales_by_channel_<YYYY-MM-DD>.csv with columns: channel_handle, channel_name, order_count, total_revenue, aov, total_units, revenue_share_pct, currency

Error Handling

Best Practices

• POS orders with unusually low AOV compared to Online Store may indicate staff discount abuse or checkout errors — worth cross-referencing.
• Draft Orders channel represents B2B/wholesale orders — if growing, it may warrant a dedicated B2B reporting workflow.
• Channel mix changes over time signal where marketing spend is working — combine with average-order-value-trends for a full picture.