Sleep Number Closed Store
U.S. Location Dataset // 205
Sleep Number Corporation has reduced its US store count from a peak of ~647 in FY22 to 573 today — a net closure of roughly 75 stores over three years as the company executed an ongoing retail-rationalization program. This dataset captures 205 unique historical Sleep Number store URLs that appeared in past sitemaps but are no longer in the live network, recovered by diffing 33 archived sitemap snapshots from 2021-2025 (Wayback Machine) against the current live 573-store list. For 152 of the 205 (74%), we recovered full address, GPS coordinates, store ID, and Google CID by re-fetching the last archived store page; the remaining 53 have state, city, and address slug derived from the URL only. Each record includes the last date the store appeared in the live sitemap (best estimate of closure date) and the snapshot date that supplied the recovered data. This is a rare longitudinal dataset for retail rationalization analysis, market-exit pattern study, and investor work on SNBR's store productivity trajectory.
●Coverage Map
Sleep Number Closed dealer locations in the USA
Showing 152 of 205 locations (~74% sample) · Source: LocationLists.com
☆Who uses this data
Sales & Business Development
Territory planning, lead generation, and prospecting for teams selling products or services to stores
Market Research & Competitive Intelligence
Analyzing Sleep Number Closed Store's geographic footprint, density, and overlap with competitors
Logistics & Supply Chain
Route optimization, delivery planning, and distribution network analysis across 205 locations
Real Estate & Site Selection
Co-tenancy analysis, trade area studies, and identifying expansion opportunities near existing stores
✓Data quality & methodology
This dataset is compiled directly from Sleep Number Closed Store's official store locator system. We query the same data source that powers the “Find a store” page on their website, ensuring the data matches what the brand itself publishes.
Monthly
Refresh frequency
Deduplicated
By name + address + city
Validated
Format checks on all fields
Every record goes through automated quality checks including ZIP code format validation, coordinate bounds verification (US only), phone number standardization, and duplicate detection. Records that fail validation are flagged and excluded from the dataset.
{}Data Fields
≡Sample Data Preview
| storeId | name | address | city | state | country | latitude | longitude |
|---|---|---|---|---|---|---|---|
| 10065 | Sleep Number — Troy, MI | 491 E Big Beaver Rd | Troy | MI | US | 42.563267 | -83.13824489999999 |
| 10071 | Sleep Number — Newington, NH | 50 Fox Run Road | Newington | NH | US | 43.098097 | -70.8041909 |
| 10539 | Sleep Number — Bend, OR | 2680 Ne Hwy 20 | Bend | OR | US | 44.056142 | -121.265022 |
| 11145 | Sleep Number — Salt Lake City, UT | 1010 E 2100 S | Salt Lake City | UT | US | 40.7251572 | -111.8623547 |
| 10881 | Sleep Number — Owensboro, KY | 5051 Frederica St | Owensboro | KY | US | 37.7197717 | -87.1239917 |
Sleep Number Closed Store Locations
205 locations · CSV · Updated monthly
?Frequently Asked Questions
How did you reconstruct these closed-store records?
We pulled every available archived snapshot of sleepnumber.com/sitemap.xml.gz from the Wayback Machine (33 snapshots, 2021-2025), decompressed each, and computed the union of all store URLs ever seen. We then subtracted the current 573 live URLs to identify 205 closed locations. For each closed URL, we located the last archived store page via the Wayback Memento API and parsed the address, GPS coordinates, store ID, and Google CID from either the new-site (Remix microdata) or old-site (data-store-* script tags) page format. 152 of 205 (74%) yielded full coords; the rest have URL-derived state/city/address only.
How accurate are the closure dates?
The closedAfter field is the date of the last sitemap snapshot that included the URL. Actual closure happened sometime between that date and the next snapshot (typically within 1-3 months). For most stores this gives you a quarter-level accuracy window.
Why would I want closed-store data?
Several uses: (1) retail-rationalization analysis — which markets did Sleep Number exit and why? (2) investor work — overlay closures on SNBR's productivity disclosures to identify low-performing markets, (3) competitive site-selection — closed Sleep Number locations are now available retail spaces in proven mattress-retail trade areas (great signal for competitors like Mattress Firm, Purple, or Saatva considering nearby moves), (4) academic research on retail-network optimization.
Do you maintain this dataset for other brands?
We build closed-store reconstructions on request for any retailer with archived sitemaps. We've done it for furniture, hardware, and other specialty retailers. Contact us for a custom build.