Most sudden drops on Faire come down to one of four things: a new-brand visibility boost ending, ordinary seasonality, fewer new stores finding you, or existing stores quietly not reordering. The first two pass on their own. The last two decide your year — and they are the ones nobody checks, because Faire shows you the orders you got, never the orders you didn't.
Here is how to tell which one you are looking at, using a simple table you can build from your own order history in about ten minutes.
Probably not, at least not in the form it usually gets described. A time-limited visibility boost for new brands is widely repeated in seller communities, but Faire documents nothing of the kind: its search and ranking guide lists over a hundred factors across three groups — how well a product's text matches the search, the retailer's own prior activity, and brand performance — and no new-brand grace period among them.
What is real is quieter, and explains the same experience. Ranking leans on conversion — whether retailers who see a product go on to buy it — and a brand with almost no order history has almost nothing for that model to work from. Early results are therefore volatile rather than boosted, and they settle as evidence accumulates. Faire also personalizes every result, to the point that searching for your own products does not show what a retailer sees, so "I dropped out of search" is rarely something a seller can observe directly.
The practical advice is unchanged even though the mechanism is: if your drop started within about two months of listing and your existing stores are still reordering normally, wait another month before changing anything. Rewriting pricing or assortment in reaction to early volatility is the most common self-inflicted wound in this category.
A dip recovers without intervention inside one quarter. A decline does not. The test is not how steep the fall is — it is whether your new-store count and your repeat-store count fall together. Seasonality moves both at once and then reverses. A real decline moves one of them and stays.
This is the question that matters, and you can answer it from your own order export. Work in half-years, not months — wholesale is too lumpy at monthly resolution and too slow at annual. For each half, count the stores whose first-ever order landed in it, and the share of revenue that came from stores which had ordered before. Here's what that table looks like once you build it — the numbers below are an illustrative example, not measured data from any specific brand:
| Period | New stores | Active stores | Repeat share |
|---|---|---|---|
| Period 1 | 40 | 150 | 80% |
| Period 2 | 45 | 160 | 80% |
| Period 3 | 35 | 140 | 78% |
| Period 4 | 45 | 150 | 78% |
| Period 5 | 90 | 170 | 65% |
Read that repeat-share column carefully, because it is a ratio, and a ratio can move for two opposite reasons that look identical on the page. In this example it barely moves through the first four periods while new-store counts drift with no clear direction. Then in period 5 it drops sharply, and a worried reader could easily misread that fall as retention getting worse. It doesn't have to mean that: new-store count more than doubled against the earlier periods, so the ratio fell because the new side of the split grew — this table alone can't tell you whether repeat revenue itself moved. The percentage means nothing without the new-store count sitting beside it.
Faire's reporting is built around orders that exist. A store that stopped buying generates no row. Faire's shop analytics report totals and rates for a date range — sales, orders, average order value, visits, conversion, sell-through — and compare that range against the prior period or the same period last year. Every one of those is an aggregate over orders that happened. To see an absence you have to compare a period against the same store list in an earlier period, and nothing in the seller dashboard does that for you.
This is not Faire doing a bad job. The marketplace's job is to get you found by stores that have never heard of you, and it does that well. What happens after the first order was never part of the design.
Most brands do step five first. It is the most expensive step, and it fixes the problem you probably don't have. If you're weighing whether software should be part of that list at all, see do I need a Faire analytics tool?
If your drop is under about 15% and your new-store count is flat, you are probably looking at seasonality, and the honest answer is to do nothing.
And if your product has a genuine sell-through problem — stores buy once, it sits on the shelf, they don't reorder because it didn't sell — no analytics tool fixes that. That is a product or price problem, and you will find it faster by calling five stockists than by buying software.
Last updated August 2026. Written by the maker of FaireSight, a retention tool for brands selling wholesale on Faire. Not affiliated with Faire.