Flagship ecommerce-marketing-analytics AI Skill & Cloud-Brain MCP
A Thin-Client Agent Skill paired with our proprietary Cloud-Brain MCP server (mcp.dbmarketer.com) that compiles warehouse-native SQL for CM1→CM2→CM3 unit margin waterfalls, iOS Safari CAPI / GA4 checkout pixel integrity audits, and multi-touch attribution reconciliation.
Layer 1: Operational & SQL Dialect Health
Tracks dialect (BigQuery/Snowflake/DuckDB), latency (ms), & auto-heals SQL edge cases.
Layer 2: Schema & Semantic Friction
Detects connector stacks (Shopify + Klaviyo + Skio) & unmapped custom UTM conventions.
Layer 3: Anonymized Dimensionless Ratios
Computes live D2C peer percentiles (e.g. Meta-to-Shopify gap %) with zero customer PII or dollar rows.
Inside the Private “PeakGear Outdoors” Dataset (90 Days • ~50,000 Orders)
raw_ga4.eventsEvent-level (~650,000 rows)event_date, event_timestamp, event_name, user_pseudo_id, traffic_source, device.operating_system, ecommerce.transaction_id, ecommerce.purchase_revenue
raw_shopify.ordersOrder-level (~50,000 orders)order_id, customer_id, created_at, financial_status, gross_sales, discount_codes, discount_amount, shipping_revenue, shipping_cost_actual, payment_gateway, landing_site_utm
raw_shopify.order_line_itemsLine-item level (~85,000 rows)order_id, sku, product_title, category, quantity, unit_price, unit_cogs (landed COGS), fulfillment_fee
raw_shopify.refundsRefund-level (~6,200 rows)refund_id, order_id, sku, refunded_at, refund_amount, return_reason, restock_boolean
raw_ads.ad_spend_dailyCampaign/Creative daily (~5,400 rows)date, platform (meta, google_ads, tiktok), campaign_id, campaign_name, creative_id, hook_type, spend, impressions, clicks, platform_reported_revenue
raw_klaviyo.eventsMessaging event-level (~120,000 rows)event_id, customer_id, timestamp, event_type (received_email, clicked_email, placed_order), flow_or_campaign_name, channel (email, sms)
The 3 Seeded D2C Profit Leaks You Will Uncover in 60 Seconds
The 'Phantom Hero' SKU (4.4x Reported ROAS = -$14.20 True CM3 Loss)
When ecommerce-marketing-analytics executes its CM1 → CM2 → CM3 Waterfall across raw_shopify.order_line_items (unit_cogs), raw_shopify.orders (25% promo code stacking + oversized freight shipping), and raw_shopify.refunds (31% return rate from a batch zipper defect), it proves true Contribution Margin 3 (CM3) is -$14.20 per order (-9.4%).
Day 62 iOS Safari Checkout Pixel Drop (-34%) + Affirm Redirect Duplication
The skill's Tracking & CAPI Integrity Auditor compares raw_shopify.orders against raw_ga4.events by transaction_id, pinpointing within 5 seconds that a Day 62 Shopify theme deployment broke client-side GA4 purchase firing on iOS Safari (-34% untracked web revenue) while payment_gateway = 'affirm' fires duplicate purchase events on return redirect.
UTM Case Fragmentation & Klaviyo Welcome Flow Last-Click Cannibalization
The skill normalizes fragmented UTMs (facebook, Facebook, fb_ig, meta_paid) and runs a multi-touch timestamp window join between raw_ads.ad_spend_daily clicks and raw_klaviyo.events, revealing that Klaviyo's 'Welcome 10% Off' popup claims 100% last-click credit for prospects who clicked a paid social ad less than 4 minutes earlier (68% cannibalization).
'In GA4, My Facebook Traffic Is Only Half of What I See in Meta!'
Module 1 (telemetry-and-attribution-debugger) decomposes every single lost click across 5 stages in both No-Code UI Walkthrough mode and Warehouse SQL mode: 13,500 in-app social clicks, 5,700 In-App Browser pre-load bounces (22,800 LPVs), 4,100 sessions stripped to Direct by a /collections/ultralight-tents redirect, 2,900 sessions blocked by OneTrust consent denial, and 1,900 sessions misrouted to Unassigned via capital-F utm_source=Facebook.
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