Wholesale Sales Analytics: What to Track in Your Dashboard
Wholesale sales analytics for a brand comes down to five numbers you review every month: reorder rate, lapsed accounts, average order value, top styles and rep performance. Together they show whether stores are coming back, which accounts are slipping, how large orders are, which styles lead sell-in and which reps and territories carry the book. Each one needs a wholesale definition and a simple formula, not a consumer benchmark.
Key takeaways
- Define reorder rate for stores: accounts with a repeat order divided by accounts that ordered before.
- Judge lapsed accounts against each store's own order rhythm, and pair last order date with last contact.
- Track AOV per order and per account. They tell different stories.
- Rank top styles on sell-in: units, orders and accounts.
- Compare reps on booked vs goal, active accounts, AOV and reorders by territory.
Which wholesale sales KPIs belong in your wholesale dashboard?
A wholesale dashboard needs five wholesale sales KPIs, each reviewed monthly against the previous period. The table below covers each one.
| Metric | How to calculate | What moves it | How often to check |
|---|---|---|---|
| Reorder rate | Accounts with a repeat order in the period divided by accounts that ordered before it | Retail performance, easy reordering, steady follow-up | Monthly, by cohort |
| Lapsed accounts | Days since last order divided by the account's usual days between orders | Season timing, cash flow, buyer changes, missed follow-up | Monthly |
| Average order value | Booked dollars divided by orders; per account, booked dollars divided by accounts that ordered | Assortment depth, order minimums, upsell suggestions | Monthly |
| Top styles | Units booked, number of orders and number of accounts per style | Line sheet placement, price, rep focus | Monthly and at season close |
| Rep performance | Booked dollars vs goal, active accounts, AOV and reorder rate by rep and territory | Territory coverage, follow-up habits | Monthly |
Why do generic b2b sales KPIs need wholesale definitions?
Most b2b sales KPIs describe software sales: pipeline, win rate, contract value. A brand selling seasonal lines to boutiques sells to stores, each with its own order rhythm. A consumer repeat purchase rate and a boutique reorder rate measure different things and can't be compared.
How do you calculate reorder rate for wholesale accounts?
Reorder rate is the share of your existing stores that ordered again. The formula is accounts that placed a repeat order in the period, divided by accounts that had ordered before the period began. Count stores, not orders or individual buyers. A store that reorders three times counts once.
Track it by cohort. Group stores by the season of their first order, then watch what share of each places a second order. Read it next to your active account count. If active accounts rise while reorder rate stays flat, you are replacing stores rather than keeping them. Your own trend line is the comparison that matters.
How do you spot lapsed accounts before the next season?
A lapsed account is a store that has gone well past its usual gap between orders. The formula is days since last order divided by that account's average days between orders. Near 1 means the store is on rhythm; well above 1 means it is overdue. A single fixed cutoff mislabels stores: a boutique that reorders monthly and one that only places a pre-book order have very different normal gaps.
Pair last order date with last contact date. As one commenter on a B2B marketing forum put it, last order date "tells you what happened but not what is happening now." An overdue store that spoke with its rep last week is a different case from one nobody has called. Stores also pause for reasons your data can't show, such as season timing, cash or a new buyer. Brandboom's Buyer Maps shows on a map which buyers have not reordered or are at risk, so reps and brands see where slipping accounts are and who to call first.
Keep a short call list: account, rep, last order date, usual gap, last contact and next step. Reps can build their own by filtering orders by territory and sorting accounts by last order date. For outreach, send a short note that names the style they last ordered and asks about next season's plans. Replace stores that are truly gone with new wholesale buyers.
What does average order value show per order and per account?
Average order value (AOV) per order is total booked dollars divided by the number of orders in the period. AOV per account is total booked dollars divided by the number of accounts that ordered. Read the two together. When buyers move to smaller, more frequent orders, per-order AOV drops while per-account value holds, a healthy pattern. If both fall, check lines per order and units per style to see whether stores are buying fewer styles or less depth.
Which styles count as your top styles?
Top styles rank highest on three sell-in measures: units booked, number of orders and number of accounts ordering. Use all three. A style with large units from one account is a bet on a single store, while a style ordered by many accounts builds the line. Styles that keep showing up in reorders deserve the most attention when you plan the next line sheet. This view covers sell-in only; for in-store performance, see how to measure sell-through rate.
How should you compare sales rep performance by territory?
A sales rep scorecard compares four numbers by rep and territory: booked dollars against goal, active accounts (assigned stores that ordered in the period), AOV and reorder rate. Territories differ in size and store mix, so compare each rep with their own previous period and with peers. Define each rep's territory in the agreement. Strong bookings from few active accounts mean the territory depends on a handful of large stores. For commission tracking, see apps for independent sales reps. For order source, see tracking wholesale order source.
What does a monthly review of wholesale sales KPIs look like?
Run the five numbers in the same order every month:
- Compare booked orders with the previous period and the same period a year earlier.
- Update reorder rate by cohort.
- Refresh the lapsed list and give each account a next-touch date.
- Check AOV per order and per account.
- Rank top styles by units, orders and accounts.
- Review each rep's scorecard by territory.
Between reviews, reps work the call list weekly. At season close, compare cohorts and top styles across the season before building the next line.
How can one wholesale dashboard keep these numbers current?
Brandboom's analytics dashboard compares periods, shows top products and buyers, and filters by brand or rep. It tracks customer lifetime value, reorder frequency, top-selling products by account, rep performance and buyer engagement. Rep and trade show orders sit together, viewable by rep. Real-time buyer activity tracking shows who viewed line sheets, clicked products or added to cart, revealing abandoned carts and upsell opportunities. Buyers can place self-serve reorders. Buyer Maps plots your stores compared with a previous period or year, showing which accounts have not reordered or are at risk. Brandboom plans start at $50/month for the Basic plan; see Brandboom pricing.
FAQ
What are the most important b2b sales KPIs for a wholesale brand?
For a brand selling to independent stores, the most useful b2b sales KPIs are reorder rate, lapsed accounts, average order value, top styles and rep performance. Review all five monthly. Reorder rate and lapsed accounts show whether stores come back, and AOV shows order size. Top styles show which products lead sell-in, and the rep scorecard shows which territories carry the book.
How can sales reps see which stores in their territory stopped ordering?
Reps should filter orders by their territory and sort accounts by last order date. Then they compare each store's gap since its last order with its usual gap between orders. Stores well past their normal rhythm go on the call list, along with the last contact date. In Brandboom, sellers see every order by rep in one dashboard, including trade show orders.
How is a wholesale reorder rate different from a consumer repeat purchase rate?
A consumer repeat purchase rate counts shoppers who buy again. A wholesale reorder rate counts stores: accounts that placed a repeat order in the period divided by accounts that had ordered before. Stores buy on seasonal and replenishment cycles, so the two rates behave differently and shouldn't be compared. Track your own wholesale reorder rate by cohort and judge it against its own trend.