Order reconciliation
Analytics and ad platform purchases checked against store orders.
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Practical notes on measuring ecommerce marketing on profit, not only on revenue: returns, margins, new customers and the gap between analytics and real orders.
An online store can have great products and still lose to competitors who simply show up first and convert better. Growth comes from aligning catalog structure with how people actually search and shop.
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Online stores have more data than most businesses and still often decide on the wrong numbers. Analytics, ad platforms and the store each report different revenue. Returns, discounts and shipping costs rarely reach the marketing reports, and margins differ widely between products.
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A campaign with a strong return on ad spend can still lose money if it sells low-margin products or items that are often returned. Without profit data, budget flows to the campaigns that look best in revenue, not to those that earn.
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We reconcile purchases in analytics and ad platforms with the store's orders, add margin and return data to reporting, and separate new from returning customers. Where useful, margin or profit values are sent to the ad platforms so bidding follows profit.
Common findings in ecommerce measurement audits.
Analytics and ad platform purchases checked against store orders.
Profit, not only revenue, shown by product group and channel.
New and returning customers reported separately.
GA4, Google Tag Manager, consent mode, and server-side tagging where the ad spend justifies it.
Looker Studio reports built around the decisions you make each month, not around every available metric.
What campaigns leave after product costs and returns.
What it costs to win a first order.
How often customers from each channel order again.
The share of real orders your analytics records.
We list every tag, event and conversion, and check each one against what really happened on the site.
Broken or missing tracking is rebuilt and tested against orders, calls or CRM records.
A monthly review of the numbers that matter, with the decisions they support written down.
We start by comparing last month's orders in your store with what analytics and the ad platforms recorded.
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