Amazon / Customer research / B2B

DIY or shop? Estimating B2B share.

Planning assumed half of Amazon buyers were repair shops. Six indirect data sources, from Brand Analytics to search queries, point to a mostly DIY base with a real shop niche in specific parts.

Matías Gaglio ·

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Seller Central style bar chart comparing the 50% planning estimate with measured shop signals
15–25%my estimate of shop share, against 50% in planning
~12%of units bought on business accounts
8–10%of customers are repeat buyers
5 of 982search queries use bulk or wholesale language
The question

Who actually buys our lug nuts?

At Revolution Supply, planning was built around a simple assumption: about half of Amazon customers are small repair shops and half are do-it-yourself owners. My own reading was much lower, around 15 to 25% shops. The difference matters. It changes the content (installation help or bulk value), the pack sizes, the pricing, and whether B2B pricing tiers are worth the effort.

Amazon doesn't tell you who a customer is. So the research collects every indirect signal available and checks which way each one points.

The evidence

Six sources, read one at a time.

SourceFindingPoints to
Brand Analytics demographics (Q3)Buyers skew 35–54, middle income, truck and Jeep ownersDIY, but inconclusive
Market basket analysis (Q3)One set per vehicle, very little bulk buyingDIY
Business Reports, B2B columnsBusiness accounts are about 12% of units and convert at about 19% versus 9% overallA small shop share
B2B share by productShops concentrate in specific products (below)Shops are a niche, not half
Repeat purchasesRepeat buyers are 8–10% of customers, and only 2–7% even on B2B-heavy productsDIY
Search Query Performance (Oct)Bulk or wholesale-style queries: 5 of 982DIY
Where shops show up

Not everywhere. In specific parts.

The strongest finding came from splitting B2B share by product instead of looking at the brand total. Business buyers aren't spread evenly. They cluster in the parts a shop goes through every week.

  • TPMS valve stems: about 30% B2B.
  • 8-lug heavy-duty spacers: 41 to 62% B2B.
  • OEM-style lug nuts: up to 46 to 47% B2B.
  • Wheel locks, hub rings and center caps: below average. These are owner purchases.

The caveat that keeps this open

Small shops often buy on personal accounts, so B2B columns understate them. That is why the 50% estimate can't be rejected from Business Reports alone, and why repeat purchases, basket size and search language matter: a shop on a personal account still reorders, buys several sets and searches in bulk terms. None of those signals show a large hidden shop base.

Planning estimate of 50% shops compared with measured signals: 15 to 25% estimate, 12% business units, 8 to 10% repeat buyers, 0.5% bulk queries
The planning estimate next to what the data can measure.
Reading it honestly

Mostly DIY, with a real shop niche.

Every source points the same way: the typical buyer is an owner fitting one vehicle, and shops are a smaller group concentrated in a few product types. That supports something close to the 15 to 25% range rather than 50%. It isn't proof, though. Demographics were inconclusive (a spacer with high B2B share looked the same as the brand overall), and the demographic unit counts don't yet reconcile with Business Reports, so I don't quote exact shares outside the team until they do.

For DIY buyers

Fit and install

Vehicle fitment, installation steps and confidence content in A+ and images, sold one set at a time.

For shops

Targeted B2B

Business pricing and multi-packs only on the products shops actually buy: valve stems, heavy-duty spacers, OEM-style lug nuts.

To settle it

An order-level test

Repeat buyers, multi-set orders and business shipping addresses at order level, which aggregate reports can't show.

Method note: Brand Analytics (demographics and market basket, Q3 2026), Seller Central Business Reports B2B columns, Search Query Performance (October 2026) and repeat purchase data. All shares are approximate and observational.
Software and tags

Tools and topics in this article.

Software used or related

  • Amazon Seller Central
  • Brand Analytics
  • Search Query Performance
  • Business Reports
  • Amazon Business
  • Excel

Topics

  • Customer research
  • B2B vs B2C
  • Amazon Business
  • Customer segmentation
  • Brand Analytics
  • Demographics
  • Market basket analysis
  • Repeat purchase rate
  • Search Query Performance
  • Evidence triangulation
  • Persona research
  • TPMS valve stems
  • Wheel spacers
  • Lug nuts
  • Automotive aftermarket
  • Revolution Supply

Related work

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