We detected 120 customers using Segmentify, 54 companies that churned or ended their trial, and 6 customers with estimated renewals in the next 3 months. The most common industry is Retail (46%) and the most common company size is 201-500 employees (22%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About Segmentify
Segmentify provides machine-learning powered personalization for ecommerce businesses by tracking visitor behavior in real-time to deliver tailored product recommendations, personalized search results, and targeted email campaigns across multiple touchpoints.
๐ง What other technologies do Segmentify customers also use?
Source: Analysis of tech stacks from 120 companies that use Segmentify
Commonly Paired Technologies
i
Shows how much more likely Segmentify 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 Segmentify users are primarily e-commerce companies with a strong focus on personalization and performance marketing. The presence of tools like Criteo, TikTok Ads, and Insider tells me these are digital-first retailers obsessed with conversion optimization and customer engagement. They're running sophisticated marketing operations where every interaction needs to be personalized and every dollar of ad spend needs to be measured.
The pairing with Insider is particularly revealing since both tools focus on cross-channel personalization and customer journey orchestration. These companies aren't just doing basic email marketing. They're coordinating experiences across web, mobile, email, and SMS. The strong correlation with Criteo suggests they're heavily invested in retargeting and dynamic product recommendations, which makes perfect sense alongside Segmentify's personalization capabilities. Microsoft Clarity appearing so frequently tells me these companies are serious about understanding user behavior through session recordings and heatmaps before implementing their personalization strategies. They want to see what's happening before they optimize it.
The full stack reveals marketing-led organizations that are past the early startup phase. They have enough traffic and revenue to justify spending on multiple optimization tools, but they're still highly performance-driven and ROI-focused. These aren't enterprise companies with massive budgets for brand awareness. They're growth-stage e-commerce businesses, likely doing between $10M and $500M in annual revenue, where incremental improvements in conversion rate directly impact the bottom line.
๐ฅ What types of companies is most likely to use Segmentify?
Source: Analysis of Linkedin bios of 120 companies that use Segmentify
Company Characteristics
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Shows how much more likely Segmentify 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: TR
72.8x
Industry: Retail
34.0x
Company Size: 201-500
7.0x
Company Size: 51-200
3.7x
Company Size: 11-50
1.7x
I noticed that Segmentify's typical customer is predominantly a retail or consumer-facing business selling physical products directly to end consumers. These companies operate in fashion and apparel, footwear, home goods, jewelry, sporting goods, and children's products. They maintain both physical store networks and e-commerce operations, often describing themselves as omnichannel retailers. A significant concentration comes from Turkey, with strong representation across Europe, particularly in Poland, Netherlands, Ireland, and UK markets.
These are predominantly mature, established businesses rather than startups. The employee counts typically range from 50 to 5,000+, with many operating 50 to 500+ physical locations. I see companies celebrating 20, 30, even 50+ year anniversaries. Very few show venture funding, only a handful have raised capital at all. They describe expansion plans, multi-country operations, and sophisticated logistics infrastructure. These aren't scrappy startups testing product-market fit, they're established players investing in digital transformation.
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