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Segment answer

Companies running BlueKai, Ruby on Rails and Shopify, in Retail Trade, categorised as Cosmetics Stores

techBlueKai×techRuby on Rails×techShopify×naics44×naics45×veridioncategoryCosmetics Stores×emp100 to 1,000×Add a filter: technology, sector, band or date

30

companies, <0.01% of 54,527,857 in the index. Landing 10 Sept 2026.

n8 of 10 buckets a dimension
Denominator30 companies in this segment
Landing10 Sept 2026
Figurefacets.tech-bluekai.tech-ruby-on-rails.tech-shopify.naics-44.naics-45.veridioncategory-cosmetics-stores.emp-100-1000

8 of 10 buckets a dimensionof 30 companies in this segmentlanding 10 Sept 2026/method/segment-facetsfacets.tech-bluekai.tech-ruby-on-rails.tech-shopify.naics-44.naics-45.veridioncategory-cosmetics-stores.emp-100-1000

How the segment is made up

NAICS sector

NAICS sector

Not drawn: under 100 companies in this segment, a distribution over ten buckets says more about the buckets than about the segment.

Business category

Business category

Fixed to Cosmetics Stores by this segment

30 of 30. Remove the filter to see the top 10 categories, with the remainder drawn.

Employee band

Employee band

Fixed to 100 to 1,000 employees by this segment

30 of 30. Remove the filter to see the top 10 bands, with the remainder drawn.

Freshness

Freshness

Not drawn: under 100 companies in this segment, a distribution over ten buckets says more about the buckets than about the segment.

HQ country

HQ country

Not drawn: under 100 companies in this segment, a distribution over ten buckets says more about the buckets than about the segment.

Technologies alongside BlueKai

Technologies alongside BlueKai

Not drawn: under 100 companies in this segment, a distribution over ten buckets says more about the buckets than about the segment.

n9 rows shown
Denominator30 companies in this segment
Landing10 Sept 2026
Figurerows.tech-bluekai.tech-ruby-on-rails.tech-shopify.naics-44.naics-45.veridioncategory-cosmetics-stores.emp-100-1000

9 rows shownof 30 companies in this segmentlanding 10 Sept 2026/method/segment-rowsrows.tech-bluekai.tech-ruby-on-rails.tech-shopify.naics-44.naics-45.veridioncategory-cosmetics-stores.emp-100-1000

Who is in it

Company
Website
HQ country
Sector
Business category
Live technologies
Freshness
South Korea
45
Cosmetics Stores
82
fresh
United Kingdom
45
Cosmetics Stores
63
fresh
United States
45
Cosmetics Stores
60
fresh
United States
45
Cosmetics Stores
64
fresh
India
45
Cosmetics Stores
23
fresh
Türkiye
45
Cosmetics Stores
26
fresh
India
45
Cosmetics Stores
48
fresh
Portugal
45
Cosmetics Stores
36
fresh
United States
45
Cosmetics Stores
33
fresh

9 rows of 30, by cursor. Ordered by the day the matched technology was first verified, most recent first. Freshness is at landing, 10 Sept 2026.

Next 9 rows

Counting is free and keyless. A free key opens 100 named rows on one filter; past that, 1 credit per 25. The CSV needs Starter, 79 USD a month.

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