SouqMetrics started with a complaint that anyone who has run an online store will recognize. Businesses have more data than ever. Understanding what is actually happening still means jumping between the store, several ad platforms, analytics tools and a pile of reports. Founder and CEO Jessy Shaanin ran into that problem repeatedly on the operating side of ecommerce, and SouqMetrics grew out of it.
The product is an AI-powered ecommerce intelligence system built for brand teams, operators, growth marketers and marketing agencies. It connects commerce data with advertising, attribution, customer behavior, profitability and operational signals, so a decision-maker can see what is happening across the business without stitching platforms together by hand.
Three questions instead of one more dashboard
SouqMetrics is designed to go beyond passive reporting. Increasingly, the product is built to answer three questions: what happened, why does it matter, and where should the operator look next.
That framing is a deliberate distinction. In the company's words, SouqMetrics is not trying to give ecommerce operators more data. It is trying to reduce the time between something changing and somebody realizing it matters.
The system also works inside ChatGPT and Claude, so operators can question their numbers from tools they already have open. The company says more on this front is coming.
What the intelligence engine watches
Under the hood, the engine analyzes signals across a wide set of areas: revenue and orders, advertising spend, ROAS and CPA, new versus returning customers, customer value and repurchase behavior, campaign performance, product performance and affinity, attribution, profitability and P&L inputs, and conversion-funnel behavior.
Rather than summarizing those metrics, it is designed to surface material risks, opportunities and recommended actions. Some of the situations it flags are simple but expensive when missed: CPA moves above the business's target, ROAS slips below an acceptable threshold, or an advertising account stops delivering because of an account or payment issue.
Others are harder to see in a standard report. Ad spend keeps running behind a product that has gone out of stock. Campaigns appear to be generating sales, but those sales lean more and more on returning customers rather than new-customer acquisition. In each case, the point is to catch the change early and point the operator at it.
Security built for sensitive commercial data
Because SouqMetrics processes commercially sensitive ecommerce and advertising data, security is treated as a core architectural priority rather than an add-on.
The platform runs on Supabase infrastructure in AWS Frankfurt (eu-central-1), which keeps primary production data inside the EU. It operates under strict read-only parameters and data-protection boundaries, verified and approved within the Shopify, Meta and Google developer ecosystems.
All data ingestion runs through encrypted server-to-server API handshakes, with row-level security and isolated tenant schemas. Database access protocols enforce programmatic isolation, so client sales logs, marketing margins and customer data streams are encrypted at rest and processed without manual intervention or exposure.
Early customers, one month in
Only one month after launch, SouqMetrics is already working with freelance growth marketers and ecommerce brand teams. Named customers include KStore, the online store of Khoury Home, LivoCare, Pharma Tech's, a distributor of premium supplements and vitamins in the Middle East, Roo Cocoon and DAYS Coffee.
That mix says something about the target user. A home retailer with a large catalog, a supplements distributor and a coffee brand all face the same daily question: is the money going into ads still coming back, and if not, why. SouqMetrics is betting that the answer should arrive before the weekly report, not after it.
See how SouqMetrics reads your store and ad data together at souqmetrics.co.
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