We detected 380 customers using Optibase, 142 companies that churned or ended their trial, and 37 customers with estimated renewals in the next 3 months. The most common industry is Software Development (32%) and the most common company size is 11-50 employees (44%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: Our data tracks companies with Optibase installed on their website and may not capture sites running tests only on checkout flows or gated pages
About Optibase
Optibase provides a native A/B testing and split testing application for Webflow that enables users to test website elements from copy to entire pages directly within the Webflow Designer without impacting site performance, featuring customizable conversion tracking for clicks and form submissions to drive data-driven optimization decisions.
🔧 What other technologies do Optibase customers also use?
Source: Analysis of tech stacks from 380 companies that use Optibase
Commonly Paired Technologies
i
Shows how much more likely Optibase 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 Optibase users have an unmistakable profile: they're modern, design-forward companies building their web presence on no-code platforms and prioritizing visual brand experience. The overwhelming correlation with Webflow (91.9x more likely) tells me these are companies that care deeply about custom, polished websites without traditional development overhead. They're likely startups or digital-native businesses that treat their website as a core business asset rather than just a placeholder.
The combination of Webflow and Webflow Optimize (330x more likely) is particularly revealing. These companies aren't just building pretty websites, they're actively testing and iterating on conversion optimization. Paired with Reddit Ads (103x more likely), I see a company that's experimenting with community-driven acquisition channels where authentic messaging matters. They're not running generic Facebook campaigns. They're going where engaged niche audiences live and crafting specific value propositions for them.
The presence of Vanta (221x more likely) and Common Room (883x more likely) rounds out the picture. Vanta suggests B2B companies selling to enterprises who need security compliance, while Common Room indicates they're tracking community engagement and treating relationship-building as a growth lever. This is a marketing-led motion, but with strong product-led growth principles. They're likely Series A to Series B companies with 20-100 employees, balancing sophisticated marketing operations with lean, efficient tooling choices.
👥 What types of companies is most likely to use Optibase?
Source: Analysis of Linkedin bios of 380 companies that use Optibase
Company Characteristics
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Shows how much more likely Optibase 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
Funding Stage: Pre seed
41.7x
Funding Stage: Seed
27.6x
Industry: Software Development
13.3x
Industry: Technology, Information and Internet
8.0x
Industry: Financial Services
7.9x
Company Size: 51-200
3.4x
I noticed that Optibase users span an incredibly diverse range of businesses, but they share a common thread: they're building technology-forward solutions in traditional industries. These aren't pure tech companies. Instead, they're companies like Woba bringing analytics to HR, Chargemap digitizing EV charging networks, Cenvar Roofing adding solar capabilities, and lePERMISLIBRE modernizing driving schools. They're taking established sectors (healthcare, construction, financial services, home care, retail) and reimagining them with software, AI, and digital platforms at the core.
These are predominantly growth-stage companies with 11-200 employees. The funding data tells a clear story: many have raised Seed or Series A rounds (typically $1M-$30M), signaling they've proven product-market fit and are now scaling. They're past the scrappy startup phase but not yet enterprise giants. They have real revenue, paying customers, and operational complexity, but they're still building out their tech infrastructure and processes.
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