We detected 159 customers using Upstackified, 61 companies that churned or ended their trial, and 6 customers with estimated renewals in the next 3 months. The most common industry is Retail (54%) and the most common company size is 2-10 employees (77%). Our methodology involves 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)
About Upstackified
Upstackified identifies and tracks anonymous website visitors across devices and sessions using advanced identity resolution technology, enriching first-party customer data to improve abandoned cart email recovery, enhance Meta and TikTok ad targeting, and boost marketing campaign performance for ecommerce brands.
๐ง What other technologies do Upstackified customers also use?
Source: Analysis of tech stacks from 159 companies that use Upstackified
Commonly Paired Technologies
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Shows how much more likely Upstackified customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
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.
๐ฅ What types of companies is most likely to use Upstackified?
Source: Analysis of Linkedin bios of 159 companies that use Upstackified
Company Characteristics
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Shows how much more likely Upstackified customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
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.
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