Companies that use Klaviyo AI

Analyzed and validated by Henley Wing Chiu ยท Updated
All โ€บ conversational AI โ€บ Klaviyo AI

Klaviyo AI We detected 911 companies using Klaviyo AI and 47 companies that churned. The most common industry is Retail (50%) and the most common company size is 2-10 employees (67%). We find new customers by discovering URLs with known URL patterns through web crawling or certificate transparency logs. Note: We track companies that use AI agents within the Klaviyo Service product. We track companies that use Klaviyo for marketing automation here

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Company Employees Industry Country Region Usage Start Date
LINZI 11โ€“50 Retail
United Kingdom
Europe 2026-10-07
Hร‰ROS 2โ€“10 Retail Apparel and Fashion
United States
N/A 2026-10-06
The Skin Spot 2โ€“10 Retail
United States
North America 2026-10-03
OAK + FORT 2โ€“10 Retail
Canada
North America 2026-10-03
Chem-X 11โ€“50 Chemical Manufacturing
United States
North America 2026-10-03
OAK + FORT 501โ€“1,000 Retail
Canada
North America 2026-10-02
Mongui Foods 2โ€“10 Wholesale Food and Beverage
Mexico
North America 2026-09-28
Eric Javits 11โ€“50 Apparel & Fashion
United States
North America 2026-09-27
Bean Bags R Us 2โ€“10 Furniture and Home Furnishings Manufacturing
Australia
Oceania 2026-09-26
GERBER 201โ€“500 Manufacturing
United States
North America 2026-09-26
Mabel & Fox 11โ€“50 Retail
United Kingdom
Europe 2026-09-23
Vibe Premium Supplements 2โ€“10 Retail
United States
North America 2026-09-21
FIRST IMPRESSION 2โ€“10 Retail
United States
North America 2026-09-19
Meraki Fit LLC 2โ€“10 Retail
United States
North America 2026-09-19
Matchbox (Australia) 51โ€“200 Retail
Australia
Oceania 2026-09-19
Knife Aid 2โ€“10 Retail
United States
North America 2026-09-19
Infinity Collectables 2โ€“10 Retail
United Kingdom
Europe 2026-09-18
24Bottles 11โ€“50 Retail
Italy
Europe 2026-09-18
Modern Emporium 2โ€“10 Retail
United States
North America 2026-09-18
Showing 1-20

New Users (Companies) Detected Over Time

i

Market Insights

๐Ÿข Top Industries

Retail 407 (50%)
Retail Apparel and Fashion 79 (10%)
Manufacturing 33 (4%)
Personal Care Product Manufacturing 30 (4%)
Wellness and Fitness Services 29 (4%)

๐Ÿ“ Company Size Distribution

2-10 employees 591 (67%)
11-50 employees 180 (20%)
51-200 employees 70 (8%)
1 employee employees 19 (2%)
201-500 employees 14 (2%)

๐Ÿ‘ฅ What types of companies use Klaviyo AI?

Source: Analysis of Linkedin bios of 911 companies that use Klaviyo AI

Company Characteristics
i
Trait
Likelihood
Industry: Sporting Goods Manufacturing
36.5x
Industry: Retail Luxury Goods and Jewelry
34.8x
Industry: Retail Apparel and Fashion
21.7x
Country: Australia
4.2x
Country: Canada
3.0x
Country: United States
2.1x
I noticed that Klaviyo AI's typical customers are direct-to-consumer brands selling physical products, primarily in fashion, beauty, food and beverage, sporting goods, and specialty retail. These aren't software companies or B2B services. They're businesses that make or curate tangible products and sell them online, often with their own ecommerce stores alongside retail partnerships. I saw everything from empty capsules to baby clothes, from craft beer to cycling apparel, from skateboard gear to luxury scarves.

These companies are predominantly in the growth stage, not early startups or mature enterprises. Most have between 2 and 50 employees, with a few reaching 51-200. The funding data is sparse, suggesting many are bootstrapped or privately funded rather than venture-backed. They're past the initial product-market fit stage but still building their brands and scaling operations. Many mention wholesale partnerships alongside direct sales, indicating they're expanding distribution channels.

๐Ÿ”ง What other technologies do Klaviyo AI customers also use?

Source: Analysis of tech stacks from 911 companies that use Klaviyo AI

Commonly Paired Technologies
i
Technology
Likelihood
144.2x
102.4x
96.3x
35.3x
I analyzed the tech stack data and found that Klaviyo AI users are almost exclusively direct-to-consumer e-commerce brands running on Shopify. The combination of tools paints a clear picture: these are consumer product companies selling physical goods online, focused heavily on repeat purchases and customer lifetime value optimization.

The pairing patterns are revealing. Recharge appearing 102 times more often tells me these companies run subscription models, whether it's monthly beauty boxes, supplement deliveries, or recurring household goods. Smile.io's 144x higher frequency confirms they're building loyalty programs to encourage repeat orders. Stamped.io suggests they're actively collecting and displaying product reviews to build trust and social proof. Triple Whale is particularly interesting because it's an analytics tool specifically built for Shopify stores to track profitability and customer acquisition costs across channels. These companies aren't just selling, they're obsessively measuring unit economics.

The full stack reveals marketing-led organizations at the growth stage. They've moved past the scrappy startup phase and are now investing in sophisticated retention marketing infrastructure. They understand that acquiring a customer is expensive, so they're building entire systems around maximizing repeat purchase rates. These aren't enterprise software companies with long sales cycles or product-led tools with viral growth. They're brands that live or die by their ability to turn first-time buyers into loyal customers through email, SMS, and targeted campaigns.

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