How to Read Your Faire and Airgoods Marketplace Data

Most brands treat their wholesale marketplace like a vending machine. Orders come in, you pack them, you ship them, you move on. The dashboard sitting one click away goes unopened for weeks. That dashboard is the cheapest market research you will ever get, and Faire marketplace data plus your Airgoods sales data can tell you exactly which products to feature, where your demand is concentrated, and which store types come back for more.

This is not a guide on whether to use Faire or Airgoods, or how to run outreach on them. This is about reading the numbers already sitting in your account and acting on them. The brands that grow fastest on these platforms are not the ones with the most listings. They are the ones who check the reorder rate every Monday and change something because of what they see.

How to Analyze Sales Data From Faire

Analyzing Faire data starts in the Insights and Analytics section of your brand account, not the orders tab. Faire surfaces orders over time, top products, new versus returning stores, reorder rate, and the geography of your buyers. Read them together. A single week of orders tells you nothing; the trend across 8 to 12 weeks tells you whether your business is actually healthy.

Here is what each core Faire report gives you and how to read it.

Orders over time. This is your topline pulse. Look for the shape of the line, not the height. A jagged line that spikes after every promotion and flattens between them means your demand is event-driven, not organic. A line that steps up and holds means you are building a base of stores that reorder without being poked. You want the second shape.

Top products. Faire ranks your SKUs by units and revenue. The useful move is comparing this ranking to what you feature at the top of your listing. If your third best-seller is buried on page two of your storefront while a slow mover sits up top, you are fighting your own data. Feature what already sells.

New versus returning stores. This split is the one most founders skim past. A month that looks great because of 40 new-store orders can be hiding a problem: if almost none of last quarter's stores came back, you do not have a business, you have a leaky bucket. Healthy brands show a rising share of returning stores over time.

Buyer geography. Faire maps where your ordering stores sit. Clusters matter. If a third of your reorders come from three states, that is not noise, that is a signal about which regions your product actually fits.

Faire's data has one more gift most brands ignore: saved and followed counts. When a buyer saves your brand or a product but has not ordered, that is warm intent sitting on the table. A rising save count with a flat order count usually means a pricing or minimum-order objection, not a lack of interest. That gap is fixable, and we will come back to it.

What Metrics Matter Most on Wholesale Marketplaces Like Airgoods

The metrics that matter most on wholesale marketplaces are reorder rate, average order value, the new-versus-returning store mix, conversion from saved to ordered, and sell-through where the platform exposes it. Reorder rate is the single best health signal, because it measures whether stores that tried you once believed in you enough to buy again. Everything else supports that story.

Airgoods, like Faire, gives you a sales dashboard covering orders, top products, and buyer activity. The platform matters less than the discipline. These are the five numbers to watch on any wholesale marketplace, in priority order.

Reorder rate, the health signal. This is the percentage of stores that order from you a second time (and beyond). A first order is easy; a buyer took a small risk on a curated marketplace with buyer protection. A second order means the product moved off their shelf or they believe it will. On natural and specialty products, a reorder rate climbing past 30 to 40 percent is a genuinely strong signal. Low reorder rate with high new-order volume is the classic trap of a brand that looks like it is winning while quietly churning through stores.

Average order value. AOV tells you how much a store commits per purchase. Rising AOV usually means buyers are confident enough to stock your full line instead of testing one SKU. Falling AOV can mean your minimum is set too high and buyers are ordering the floor, or that a hero SKU is carrying everything else.

New versus returning mix. Same idea as Faire's split. A durable marketplace business trends toward more returning stores each quarter. If you are 90 percent new-store orders month after month, your acquisition is masking weak retention.

Conversion from saved or followed to ordered. Buyers browse, save, and come back. The rate at which saves turn into orders is your listing's closing ability. A weak conversion rate points at price, minimum, product photography, or an unclear value proposition, not at a lack of traffic.

Sell-through, where available. Some platforms and some retail partners expose whether your product actually sold at the shelf, not just whether the store bought it. When you can see it, sell-through beats every other metric because it measures real consumer demand. Most marketplaces cannot show you this, which is the core limit we cover below.

Once you know which metrics matter, the point is not to admire them. It is to change what you sell, how you price it, and where you focus.

Using Marketplace Data to Optimize Your Listing and Assortment

Your dashboard is a to-do list in disguise. Every metric above maps to a specific lever you can pull this week: which SKUs to feature, how to set your minimum, where to concentrate, and which products to cut. Data you do not act on is just decoration.

Feature what already sells. Reorder your storefront so your top three reordered SKUs sit at the top. Buyers scan fast on a marketplace. Leading with proven winners lifts conversion on the products that already have momentum, and it gives new stores an easy, low-risk first order that is more likely to become a second.

Tune your minimum and pricing to the AOV and save data. If your save-to-order conversion is weak and your minimum sits high, test lowering the minimum. A store that will not commit to a large first order will often test you at a smaller one, and a small first order that reorders is worth more than a large order that never returns. Watch AOV as you change it. The goal is more reordering stores, not a bigger single receipt.

Concentrate where demand already clusters. Your buyer geography and top-region data tell you where your product fits. If reorders cluster in the Pacific Northwest and Mountain West, that is where your assortment and any marketplace promotion budget should point. Spreading thin across every state is spray and pray. Follow the clusters.

Cut or rework the dead SKUs. A product with plenty of views but almost no orders, or orders but no reorders, is telling you something. Sometimes the fix is better photography or a clearer description. Sometimes the honest read is that the product does not belong in your wholesale assortment, and carrying it dilutes the story a buyer sees. Prune deliberately.

Read the promotion aftermath. After any marketplace incentive or new-buyer discount, watch the stores that came in on it. Did they reorder at full terms, or did they vanish when the deal ended? Promotions that acquire stores who never reorder are a cost, not a channel. The reorder rate on promo-acquired stores is the number that tells you whether the promotion worked.

What Marketplace Data Can and Cannot Tell You

Marketplace data has a hard limit, and knowing it keeps you from drawing the wrong conclusion. A marketplace tells you a store bought your product. It does not tell you the product sold through at the shelf, and it does not tell you whether that store would reorder if it were buying from you directly instead of through a curated platform with buyer protection and net terms.

That gap matters in three ways.

Sell-through is mostly invisible. Unless the platform or the retailer shares point-of-sale data, a reorder is your best available proxy for shelf velocity, but it is still a proxy. A store can order twice on a marketplace and still be sitting on inventory that is not moving. Treat reorder rate as a strong signal, not as proof of consumer demand. When you can get real scan or sell-through data from a retail account, it outranks anything the marketplace shows you.

Marketplace behavior is not direct-channel behavior. Buying on Faire or Airgoods is low-friction and low-risk by design. A store that reorders on a marketplace has told you your product type works for their shelf, but the marketplace relationship is shallow. The same buyer may behave differently on direct wholesale terms. Use the marketplace to learn which store types fit, then build the direct relationship where the margin and the loyalty actually live.

The data only covers stores already on the platform. Your best-fit retailers may not shop the marketplace at all. The independent grocer three towns over that would be perfect for your product is invisible to your Faire dashboard because they never signed up. Marketplace data describes the pond you are already fishing in. It says nothing about the larger water outside it.

This is where the real value of your marketplace data shows up. It tells you which store types reorder, which regions cluster, and which products travel. That profile is the input for finding more stores exactly like the ones already buying, wherever they are, on or off any marketplace. Opener takes that kind of signal, the shape of the stores that reorder, and finds more best-fit retailers that match it, then reaches verified buyers directly with personalized outreach so you build demand beyond the platform's walls.

The Bottom Line on Reading Marketplace Data

Open the dashboard every week and let it change one decision. Protect your reorder rate above every vanity number, feature what already sells, and follow the regional clusters. Then remember the marketplace only shows you the stores already inside it, and go find the rest.