Reading your numbers
What the Dashboard and Return analytics show, and what to do about what you see.
The number that matters most
Value recovered: how much of what came back stayed in your business as an exchange or store credit, instead of going out as a refund. Your refund method order and swap options exist to push this up.Dashboard: today at a glance
The first page you see after signing in.
- Return rate · Value returned · Value recovered
- For the dates you pick at the top, each compared with the period just before.
- Value at risk
- What customers paid for the items in every request that isn’t finished yet: the most that could still go out. Exchanges and fees aren’t taken off, and some requests will be refused, so the real amount is usually lower. Always live, whatever dates you pick. The bar shows where that money sits: waiting for review, in transit, or received.
- Return rate over time
- The last 12 months, month by month.
- Why things come back
- The most common reasons, for the dates you pick.
- Awaiting review
- Requests waiting to be accepted or refused, oldest first, with Accept and Refuse buttons.
- Waiting to be opened
- Boxes that arrived but haven’t been opened and checked yet. No refund goes out before that.
The owner and admins also see the Get your store ready checklist here until setup is done.
Return analytics: the four headline numbers
Return analytics. Pick the dates from the blue calendar button at the top of the page: 7 days, 30 days, 90 days, 12 months or your own range. The Dashboard follows the same choice.
Each card compares with the period before. The arrow’s colour tells you whether the change is good or bad, not just up or down. Hover over ⓘ on any card for the exact definition.
Underneath, Recovered vs refunded shows the same split in more detail. Return rate cohort trend shows each month’s orders and how many came back, always over the last 12 months. Recent months are dashed because their return window hasn’t closed yet.
Products and sizes
This is where you find fixable problems.
- Problem products
- Each style’s return rate: units returned out of units sold. Only styles with 20 or more units sold are ranked, so one unlucky return doesn’t top the list. Click a column to sort, and click a row to see its sizes.
- Size insight
- For the style you picked: the return rate for each size, and arcs showing where size swaps moved (for example, many M swapped to L).
How fast you work
- Status pipeline
- How long requests spend between each step, such as from Requested to Approved or from Received to Resolved. A slow step is where customers are waiting on you.
- Aging backlog
- Every open request, grouped by how many days since it was asked for. It always shows right now, whatever dates you picked, so an old stuck request can’t hide.
Geography and stock
- Geography
- Return rate by governorate, and how often the courier picked up on the first attempt.
- Inventory recovery
- Where returned items ended up after the warehouse checked them: restocked, not restocked, and so on. The “in limbo” box counts items received but not yet decided.
What to do about what you see
- One product has a high return rate for “Doesn’t fit”. Check its size chart and product photos. Size insight tells you whether it runs small or big.
- Many “Quality not as described” or “Wrong color”. Your photos or descriptions don’t match the product.
- Value recovered is low. Put store credit first in Refund methods, and make sure swaps are possible (keep sizes in stock).
- The pipeline is slow at Requested. Approvals are waiting on your team. Check the queue daily.
- The backlog has requests older than a week. Open them. They’re usually waiting on a box that never arrived, or a refund nobody sent.
- One governorate has a high return rate or poor pickup success. Consider a higher return fee there (Fee by governorate) or talk to Bosta.