Companies that use Klaviyo AI

Analyzed and validated by Henley Wing Chiu
All conversational AI Klaviyo AI

Klaviyo AI We detected 722 companies using Klaviyo AI and 24 companies that churned. The most common industry is Retail (54%) and the most common company size is 2-10 employees (71%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists. 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
Austin Bloom 2–10 Retail
AU Australia
Oceania 2026-04-30
Good Clean Love 11–50 Manufacturing
US United States
North America 2026-04-30
WAIHANA 2–10 Retail
US United States
North America 2026-04-29
VOLO Beauty 2–10 Manufacturing
US United States
North America 2026-04-29
Anatomie Fashion 51–200 Retail
US United States
North America 2026-04-28
Just Perfect Collection Online 2–10 Retail
US United States
North America 2026-04-26
Jerusalem Sandals 2–10 Retail
US United States
North America 2026-04-25
Creekside Nursery, Inc 2–10 Retail
US United States
North America 2026-04-25
Bathmate 2–10 Retail
US United States
North America 2026-04-23
Kleva Range 11–50 Retail
AU Australia
Oceania 2026-04-22
LimitlessEffortLLC 2–10 Retail
US United States
North America 2026-04-20
ALURA 2–10 Retail
US United States
North America 2026-04-15
Pebby Forevee 11–50 Retail Apparel and Fashion
US United States
North America 2026-04-08
Capsuline 501–1,000 Pharmaceutical Manufacturing
US United States
North America
Inkworx Design Collective LLC 2–10 Retail
US United States
North America
Clever Chocolate 2–10 Retail
DE Germany
Europe
Simple Style Co 2–10 Retail
AU Australia
Oceania
Nublia 2–10 Retail
US United States
North America
The Clinic 2–10 Retail
AU Australia
Oceania
Stiefeld Boots 2–10 Retail
US United States
North America
Showing 1-20

Market Insights

🏢 Top Industries

Retail 321 (54%)
Retail Apparel and Fashion 52 (9%)
Manufacturing 22 (4%)
Personal Care Product Manufacturing 17 (3%)
Retail Luxury Goods and Jewelry 14 (2%)

📏 Company Size Distribution

2-10 employees 450 (71%)
11-50 employees 120 (19%)
51-200 employees 42 (7%)
1 employee employees 15 (2%)
201-500 employees 8 (1%)

👥 What types of companies use Klaviyo AI?

Source: Analysis of Linkedin bios of 722 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.

🔧 What other technologies do Klaviyo AI customers also use?

Source: Analysis of tech stacks from 722 companies that use Klaviyo AI

Commonly Paired Technologies
i
Technology
Likelihood
144.2x
133.2x
102.4x
96.3x
85.0x
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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