True ROAS across Shopify, Amazon and Walmart, matched to what actually sold.

You sell on Amazon, Walmart and Shopify and buy media on Google, Meta and TikTok. We join ad spend to real sales, automate the reports, and let AI handle routine bid and budget moves within your rules.

25%less reporting time for Mau Brands
15%better campaign performance for Mau Brands
4–6 wkstypical time to a first live pipeline

Talk to an engineer See case studies

What you get

Ad spend and real sales, finally in the same place.

Ad spend joined to real sales

Amazon, Walmart and Shopify sales next to Google, Meta and TikTok spend.

One ROAS everyone accepts

Reporting your operators and your finance team both accept as correct.

No spending into a stockout

Inventory joined to advertising, so spend isn’t pushed into a stockout.

Routine moves on autopilot

AI handles routine bid and budget moves, within rules you set.

Sound familiar?

When the numbers never match.

Marketplace revenue is straightforward to read.
Profit is not.
Amazon fees arrive across referral, FBA, storage, and long-term storage lines that only reconcile in settlement reports.
Returns land weeks after the sale that earned the bonus.
Ad spend sits in a separate system from the sales it drove.

Before and after

What changes.

Three sets of numbers

Three sets of numbers that never agree
Ad spend sits in a separate system from the sales it drove
ROAS decisions that ignore fees and returns
Amazon and Walmart restate recent days after the fact

One model

Shopify orders, retailer sales and settlement data in one model
Every platform’s spend next to the sales it drove
One ROAS finance and marketing agree on
Inventory joined to advertising

What we do

What we build for you.

Unified sales and cost data

One set of sales and cost data across Amazon, Walmart, other marketplaces, and your DTC store.

True profitability by SKU and channel

COGS, all marketplace fees, ad spend, returns, and shipping.

Settlement reconciliation

Reported profit matches the money that actually arrived.

Inventory-aware advertising

Inventory and demand visibility joined to advertising, so spend is not pushed into a stockout.

Margin-based channel comparison

Channels compared on contribution margin rather than revenue or ROAS.

Numbers both teams accept

Reporting your operators and your finance team both accept as correct.

How it works

Six steps, start anywhere.

Pull
Scheduled API jobs pull every ad platform, your Shopify store and your attribution tool. No manual CSV exports, no stale snapshots. Retries and backfills are built in.
Store
Everything lands in your own Snowflake, BigQuery or Redshift, in your cloud. Raw data is kept, so history can be rebuilt any time.
Clean
Mixed columns, currencies, time zones and attribution windows lined up into one model, with one ROAS rule you agree on. Automated tests catch what people miss.
Dashboards
Reports and dashboards that refresh themselves in Looker, Looker Studio, Power BI or Tableau, including white-label client reports for agencies.
AI insights
AI flags drops, waste and odd spikes before anyone opens a dashboard, writes the summary, and answers questions in plain English from your own numbers.
AI actions
Agents move bids and budgets and pause waste, inside bid caps, budget limits and approval queues you set. Every change is logged and can be rolled back.

Already using Triple Whale or Northbeam?

Keep it. We fix what it can't see.

Attribution tools model which ad gets credit. They don't reconcile to what Amazon and Walmart actually sold, or to your settlement reports.

Your attribution tool

Credits Shopify orders to Meta, Google and TikTok using its own model. Great for your store, blind to most marketplace sales.

Amazon and Walmart

Report their own attributed sales, on their own windows, and restate recent days after the fact.

What we add

One model where Shopify orders, retailer sales and settlement data sit next to every platform's spend and your attribution tool's numbers, so finance and marketing agree on one ROAS.

Results