We detected 820 customers using Qualified, 83 companies that churned or ended their trial, and 45 customers with estimated renewals in the next 3 months. The most common industry is Software Development (60%) and the most common company size is 201-500 employees (27%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About Qualified
Qualified provides an agentic marketing platform featuring Piper the AI SDR Agent, which autonomously engages website visitors 24x7, captures leads, and converts them into sales pipeline through live chat, meeting booking, and personalized follow-up emails.
🔧 What other technologies do Qualified customers also use?
Source: Analysis of tech stacks from 820 companies that use Qualified
Commonly Paired Technologies
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Shows how much more likely Qualified 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 Qualified users run sophisticated enterprise B2B sales operations with a heavy focus on account-based marketing. The presence of 6Sense, Marketo Measure, and Gainsight together tells me these companies are pursuing high-value accounts with long sales cycles, where identifying the right targets, measuring attribution across touchpoints, and ensuring customer success are all critical to their revenue model.
The pairing of Qualified with 6Sense makes perfect sense because 6Sense identifies which target accounts are showing buying intent, and Qualified then jumps in to convert that intent into actual conversations through website chat and meetings. Similarly, I see why Outreach appears so frequently alongside Qualified. Sales reps need a way to orchestrate their outbound sequences, and when a prospect finally hits the website, Qualified creates that crucial real-time engagement moment. The Highspot correlation is particularly interesting because it suggests these sales teams are working with complex products that require extensive enablement content, and they need instant access to the right materials when a hot prospect appears.
My analysis shows these are decidedly sales-led organizations, likely in the growth or scale-up stage with mature revenue operations. They've moved beyond basic lead generation and are running coordinated plays across multiple channels. The Gainsight presence tells me they're focused on expansion revenue, not just new logos. These companies have invested heavily in pipeline infrastructure because their deal sizes justify the complexity.
👥 What types of companies is most likely to use Qualified?
Source: Analysis of Linkedin bios of 820 companies that use Qualified
Company Characteristics
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Shows how much more likely Qualified 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: Series C
292.9x
Funding Stage: Private equity
50.6x
Industry: Software Development
8.9x
Company Size: 1,001-5,000
4.8x
Company Size: 501-1,000
4.7x
Company Size: 201-500
2.1x
I noticed that Qualified's customers are predominantly B2B software and technology companies selling complex, high-consideration products. These aren't simple consumer apps. They're enterprise platforms, cybersecurity solutions, cloud infrastructure tools, and specialized SaaS products that require significant evaluation cycles. Companies like Tanium, Illumio, Checkmarx, and Proofpoint sell sophisticated security platforms. Others like Confluent, PTC, and Avalara offer mission-critical infrastructure that enterprises depend on daily. Many serve other businesses with products that become deeply embedded in their customers' operations.
Most of these companies are in growth or mature stages, not early startup phase. The employee counts cluster heavily in the 500 to 5,000 range, with many having raised Series C or later funding, gone through private equity, or reached public markets. They reference large customer bases, global operations, and decades of experience. This isn't scrappy experimentation. It's scaled go-to-market with established product-market fit.
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