We detected 359 customers using Cometly, 102 companies that churned or ended their trial, and 14 customers with estimated renewals in the next 3 months. The most common industry is Retail (35%) and the most common company size is 2-10 employees (48%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We can't detect companies using Cometly in server-side only implementations or headless storefronts (edge cases)
About Cometly
Cometly provides marketing attribution software that connects ad platforms, CRM systems, and websites to track the full customer journey and attribute revenue to specific marketing channels. The platform offers real-time analytics, multi-touch attribution models, and AI-driven insights to help marketers optimize campaigns and prove ROI.
🔧 What other technologies do Cometly customers also use?
Source: Analysis of tech stacks from 359 companies that use Cometly
Commonly Paired Technologies
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Shows how much more likely Cometly 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 Cometly users are predominantly e-commerce companies running aggressive paid advertising campaigns with a heavy focus on attribution and conversion optimization. The presence of Klaviyo (email marketing for e-commerce), Loox (product reviews), and Adroll (retargeting) tells me these are direct-to-consumer brands selling physical products online. They're spending serious money on ads and need to know exactly which channels are driving real revenue.
The pairing of Cometly with Triple Whale is particularly revealing. Both are attribution tools, which suggests these companies are so concerned about tracking accuracy that they're using multiple solutions to validate their data. This makes sense for brands spending six or seven figures monthly on Facebook and Google ads where iOS tracking changes have created attribution chaos. The high correlation with Microsoft Clarity shows they're also obsessing over on-site behavior, trying to understand why traffic converts or doesn't. Truconversion appearing 626 times more often than normal, despite only 7 companies using it, suggests a small subset of Cometly users are going even deeper into conversion rate optimization with heatmaps and session recordings.
These companies are clearly marketing-led organizations where the paid acquisition team is the primary growth engine. They're likely past the early startup phase since they're investing in premium attribution tools, probably doing at least $2-5 million in annual revenue with healthy ad budgets. The stack reveals a performance marketing team that lives and dies by ROAS metrics and needs sophisticated tracking to justify their spending to leadership.
👥 What types of companies is most likely to use Cometly?
Source: Analysis of Linkedin bios of 359 companies that use Cometly
Company Characteristics
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Shows how much more likely Cometly 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: Seed
21.0x
Country: US
2.8x
Company Size: 51-200
1.9x
Company Size: 11-50
1.7x
Country: GB
1.7x
I noticed that Cometly's typical customers are companies that sell directly to consumers or businesses through digital channels. These aren't traditional retailers with physical storefronts. They're ecommerce brands, digital service providers, SaaS platforms, coaching businesses, course creators, publishing companies, and marketing agencies. Many sell supplements, skincare, fitness programs, educational content, or specialized B2B software. What stands out is how many are in the business of customer acquisition and retention where tracking marketing ROI is critical.
Most appear to be in growth mode, not early startup or mature enterprise stages. The employee counts cluster between 11-200 people. Many have seed funding ranging from $500K to $6M, which suggests they've proven product-market fit and are scaling. Some show revenue traction through case studies or customer counts. They're past the "just launched" phase but haven't reached the enterprise scale where attribution becomes less important than brand.
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