Skip to main content
Verslay
All Use Cases
E-commerce

Store P&L / Blended MER

Meta says 4.2x. Shopify cash says 2.1x. Here is the number your bank account believes.

Stops agencies and merchants from scaling spend on platform ROAS that does not match Shopify GMV, with contribution after a labeled cost assumption.

Best forB2BB2b2cB2C
Agents5 required
Duration4-6 minutes

Meta says 4.2x. Shopify cash says 2.1x. Here is the number your bank account believes. Stops agencies and merchants from scaling spend on platform ROAS that does not match Shopify GMV, with contribution after a labeled cost assumption.

How it runs

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

01

Pull shop info (currency, timezone) and paginated orders for the window (default 14 days): totals, discounts, financial_status, refunds, shipping, line items, customer.orders_count.

ecommerce scanner
02

If ads are connected, pull spend and platform-reported conversions/ROAS for the same window. If not, skip and record ads-not-connected.

ads scanner
03

Compute GMV, discount rate, refund rate, net sales, AOV, new vs returning, blended MER (GMV ÷ spend, only if spend > 0), contribution after a labeled COGS assumption. Never sum platform revenues across Meta + Google. Compare platform conversion value to Shopify GMV.

revenue analyst
04

Write the brief: one-line verdict, metric block, platform-vs-store table, assumption table, three propose-only actions. Call verslay_memorize for MER/GMV/discount/refund rates.

executive briefing writer
05

Deliver to email if connected, else in-hub. Emit the run receipt. No ads or Shopify writes.

distributor

Required Agents

5
  • ecommerce-scanner
  • ads-scanner
  • revenue-analyst
  • executive-briefing-writer
  • distributor

Connections

Required

shopify

Optional

metagooglegmailresend

What it does

  • Shopify cash is the revenue source of truth
  • Blended MER when ads are connected; honest omit when not
  • Platform ROAS shown beside store-cash, never added across platforms
  • Labeled COGS assumption — not fake incrementality
  • Three propose-only actions
  • Baseline improves via memory

Example prompt

Last 14 days — what did we actually make versus what Meta claims?

Ready to deploy Store P&L / Blended MER?

Start free. One click, full agent orchestration.

Get Started Free →