Companies that use Upstackified

Analyzed and validated by Henley Wing Chiu

Upstackified We detected 167 companies using Upstackified, 73 companies that churned, and 25 customers with upcoming renewal in the next 3 months. The most common industry is Retail (55%) and the most common company size is 2-10 employees (79%). We find new customers by detecting JavaScript snippets or configurations on customer websites. Note: We can't detect companies using Upstackified in server-side only implementations or headless storefronts (edge cases)

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
NEXTSHOES 2–10 Wholesale Footwear RO N/A 2026-03-14
Tiny Homes 2–10 Retail US N/A 2026-02-27
All Real Nutrition 2–10 Retail IE N/A 2026-02-27
Holistic Goddess 2–10 Retail Health and Personal Care Products US N/A 2026-02-27
WonderCow 2–10 Retail Health and Personal Care Products US N/A 2026-02-15
Oliva Dorado 2–10 Retail US N/A 2026-02-14
Hoop Culture Inc 2–10 Spectator Sports US N/A 2025-12-21
Sundays for Dogs 11–50 Manufacturing US N/A 2025-12-20
Pacas, Inc. 2–10 Retail US N/A 2025-12-18
NovaaLab 2–10 Retail US N/A 2025-12-02
MARO 2–10 Retail US N/A 2025-11-25
Hummii Snacks 2–10 Food and Beverage Services US N/A 2025-11-22
NeuEve 2–10 Biotechnology Research US N/A 2025-11-16
Bioroot Labs 2–10 Retail US N/A 2025-11-14
Penetrex® Daily Joint & Muscle Care 2–10 Manufacturing US N/A 2025-11-07
Fresh Chile 11–50 Food and Beverage Manufacturing US N/A 2025-10-30
Farmers Defense 2–10 Manufacturing US N/A 2025-10-26
Ceres Chill 2–10 Wellness and Fitness Services US N/A 2025-10-21
Naternal 2–10 Retail Health and Personal Care Products US N/A 2025-10-14
Gymkhana Fine Foods 2–10 Food and Beverage Manufacturing GB N/A 2025-10-11
Showing 1-50 of 2,769

Market Insights

🏢 Top Industries

Retail 84 (55%)
Retail Apparel and Fashion 10 (7%)
Wellness and Fitness Services 9 (6%)
Manufacturing 6 (4%)
Retail Health and Personal Care Products 5 (3%)

📏 Company Size Distribution

2-10 employees 127 (79%)
11-50 employees 25 (16%)
51-200 employees 7 (4%)
1 employee employees 1 (1%)

👥 What types of companies use Upstackified?

Source: Analysis of Linkedin bios of 167 companies that use Upstackified

Company Characteristics
i
Trait
Likelihood
Country:
2.0x
Country: US
1.8x
Company Size: 2-10
1.4x
Company Size: 11-50
1.3x
I noticed that Upstackified primarily serves direct-to-consumer brands selling physical products. These are companies making wellness supplements, apparel, beauty products, food and beverages, home goods, and lifestyle accessories. They're not software companies or service providers. They manufacture or source tangible items and sell them online, often through their own e-commerce sites plus marketplaces like Amazon.

Most of these companies are in early growth stages. The employee counts cluster heavily in the 2-10 and 11-50 ranges, with only a handful exceeding 50 employees. Funding data, when present, shows pre-seed, seed, or early series rounds in the low millions. Los Angeles Apparel is an outlier with 500+ employees. These are companies that have achieved product-market fit and are scaling their customer acquisition, but they're not yet mature enterprises with extensive infrastructure.

🔧 What other technologies do Upstackified customers also use?

Source: Analysis of tech stacks from 167 companies that use Upstackified

Commonly Paired Technologies
i
Technology
Likelihood
1231.7x
1010.2x
966.7x
758.9x
649.4x
349.7x
I noticed that Upstackified users are clearly e-commerce brands, specifically direct-to-consumer Shopify stores focused on conversion optimization and customer experience. The combination of tools like Intelligems for A/B testing, Triple Whale for analytics, and Replo for landing page building tells me these are growth-stage brands obsessing over every aspect of their funnel performance.

The pairing of Intelligems and Replo is particularly revealing. These companies aren't just running their Shopify stores out of the box. They're building custom landing pages with Replo and then testing different pricing strategies, offers, and product bundles with Intelligems. Triple Whale appearing so frequently makes sense alongside these tools because when you're running sophisticated experiments, you need unified analytics to understand what's actually driving revenue. The presence of Videowise suggests they're also investing in rich product content, probably using shoppable videos to increase conversion rates.

My analysis shows these are marketing-led organizations in their scaling phase. They've moved past the early startup stage where founders handle everything manually, but they're not yet massive enterprises with entrenched systems. These teams are building dedicated growth functions and hiring specialists who know how to squeeze performance out of modern e-commerce tools. The RichPanel correlation for customer service and Heatmap for user behavior analysis reinforces that they're taking a data-driven approach across the entire customer journey, not just at checkout.

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