Muashirمؤشر
Marketing efficiency for stores that spend across several ad platforms and cannot trust the sum of what those platforms report.
muashair.com ↗Why
Every ad platform claims credit for the same sale. Add up what they report and a store appears to have sold more than it did.
So the owner sees spend rising and sales rising, while the cash does not. The real question is where to spend, not whether to spend more.
One rule came out of that: never show a zero when a source failed. A missing number that looks like a real zero is how bad decisions get made.
How
One hero metric
Marketing efficiency: total ad spend against real store revenue, not revenue as each platform reports it.
Attribution with the gaps shown
Sales are matched by click id, then by UTM. Whatever cannot be matched stays visible as its own row and is never quietly redistributed.
Coverage recorded at sync time
Which data arrived and which did not is written as it happens, because it cannot be reconstructed later.
Arabic first, secure by default
Right to left from the start, with row-level security on every read and every write.
What
- A metric registry with one validated query path
- Append-only raw data with revisions, so history is never overwritten
- Goals and forecasts that refuse to evaluate incomplete date ranges
- An AI analyst that turns a plain question into a structured query
- Attribution and profit views, with campaign and decision modes
- An encrypted credential service for connected accounts
Impact
By numbers
The engine currently runs on seeded demo data. Live ad-platform connectors come next, so there are no customer results to report yet. The waitlist is open at muashair.com.
A data product with real correctness guarantees does not need a quarter of scoping before the first honest number appears.
Shakila
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