We detected 331 customers using Hyros, 249 companies that churned or ended their trial, and 16 customers with estimated renewals in the next 3 months. The most common industry is Retail (24%) and the most common company size is 2-10 employees (41%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We can't detect companies using Hyros in server-side only implementations or headless storefronts (edge cases)
About Hyros
Hyros provides ad tracking and attribution software that monitors customer interactions across multiple marketing channels to accurately credit each touchpoint in the buyer journey without cookies. The platform uses AI and patented print tracking to help businesses identify which ads drive conversions and optimize their ad spend for higher ROI.
📊 Who in an organization decides to buy or use Hyros?
Source: Analysis of 100 job postings that mention Hyros
Job titles that mention Hyros
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Based on an analysis of job titles from postings that mention Hyros.
Job Title
Share
Media Buyer / Paid Ads Specialist
35%
Performance Marketing Manager
20%
Head of Marketing / CMO
15%
Director of Marketing
10%
My analysis shows that Hyros buyers are predominantly marketing leaders, with 15% being Heads of Marketing or CMOs and 10% Directors of Marketing. These decision-makers are building high-performance marketing engines for companies scaling from seven to nine figures, often in DTC, coaching, info products, and health/wellness verticals. Their strategic priorities center on profitable growth through data-driven decision making, with hiring focused on media buying talent who can manage substantial ad budgets ranging from $10K to over $500K monthly.
The day-to-day users are overwhelmingly media buyers and performance marketing specialists, representing 55% of roles combined. These practitioners use Hyros for attribution tracking, campaign performance analysis, and ROI reporting across Meta, Google, TikTok, and YouTube. I noticed they're responsible for optimizing metrics like ROAS, CPL, CAC, and payback periods while coordinating with creative teams and managing complex conversion tracking setups including pixels and server-side APIs.
The core pain point across these postings is the need for accurate attribution in complex, multi-channel funnels. Companies want to "scale spend and channels with confidence" and produce "channel-level ROI and revenue attribution we can trust." Multiple postings emphasize building "a clean, trusted measurement layer" and maintaining "performance data across paid, organic, referral, web analytics, and payment systems." These organizations are moving beyond basic platform analytics to understand true profitability and make data-backed scaling decisions.
🔧 What other technologies do Hyros customers also use?
Source: Analysis of tech stacks from 331 companies that use Hyros
Commonly Paired Technologies
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Shows how much more likely Hyros 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 Hyros users are predominantly direct-to-consumer ecommerce companies running sophisticated multi-channel marketing operations. The strong presence of Klaviyo, an email marketing platform built specifically for ecommerce, combined with tools like Funnelytics and Wicked Reports, tells me these are businesses obsessed with tracking customer journeys across complex attribution paths. They're not running simple one-touch campaigns. They're managing elaborate funnels with multiple touchpoints and need to understand exactly which marketing dollars are actually driving revenue.
The pairing of Hyros with Funnelytics is particularly revealing. These companies are mapping out intricate customer flows and then using Hyros to track real conversions through those paths. The high correlation with LiveIntent suggests they're also doing sophisticated email advertising beyond their owned lists, likely buying placements in newsletters and needing precise attribution to justify those spends. Microsoft Clarity appearing so frequently indicates they're obsessing over on-site behavior too, connecting how users interact with their websites to downstream revenue. Rewardful's presence points to some of these companies running affiliate or partnership programs, adding yet another attribution layer to untangle.
The full stack screams marketing-led growth with serious investment in paid acquisition. These aren't early-stage startups testing channels. They're likely mature ecommerce businesses spending six or seven figures monthly on ads across Facebook, Google, email, and affiliate channels. They've hit the point where Facebook's native attribution isn't good enough anymore, and they need a source of truth that can handle multi-touch attribution across their entire ecosystem.
👥 What types of companies is most likely to use Hyros?
Source: Analysis of Linkedin bios of 331 companies that use Hyros
Company Characteristics
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Shows how much more likely Hyros 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
Industry: Software Development
6.6x
Country: US
2.9x
Company Size: 11-50
2.2x
Company Size: 51-200
2.0x
Country:
1.3x
I noticed that Hyros customers span a remarkably diverse range of industries, but they share a common thread: they're all heavily invested in direct-to-consumer sales and performance marketing. These aren't traditional B2B software companies. Instead, I'm seeing e-commerce brands (supplements, fashion, tile, fitness equipment), online education platforms (SAT prep, tech sales training, financial literacy), service providers with aggressive digital acquisition strategies (dental implants, fitness coaching, real estate investing), and SaaS tools that themselves serve marketers. What ties them together is that they're selling directly to consumers or small businesses through paid digital advertising.
These companies are predominantly in growth mode. I'm seeing a lot of 11-50 and 51-200 employee ranges, with many at seed or Series A/B funding stages. They're past the earliest startup phase but still actively scaling. Some are bootstrapped but successful enough to invest in sophisticated tracking. Very few are either brand new (under 10 employees) or fully mature enterprises. They're in that critical growth stage where attribution and ad performance directly impact their ability to scale profitably.
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