We detected 76 customers using AttributionApp, 35 companies that churned or ended their trial, and 2 customers with estimated renewals in the next 3 months. The most common industry is Software Development (17%) and the most common company size is 51-200 employees (38%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We can't detect companies using AttributionApp in server-side only implementations or headless storefronts (edge cases)
About AttributionApp
AttributionApp tracks every marketing visit, click, and dollar spent at the user and account level from acquisition to retention, connecting marketing data to real CAC Payback and LTV:CAC insights so businesses can scale profitably and optimize spend.
🔧 What other technologies do AttributionApp customers also use?
Source: Analysis of tech stacks from 76 companies that use AttributionApp
Commonly Paired Technologies
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Shows how much more likely AttributionApp 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 AttributionApp users are sophisticated B2B marketing organizations with complex, multi-touch customer journeys they need to track and optimize. The presence of tools like Segment, 6Sense, and Chili Piper tells me these companies run integrated marketing operations where data flows between systems and every touchpoint matters. They're not running simple campaigns. They're orchestrating entire buyer experiences across multiple channels and need to prove what's working.
The pairing of Segment with AttributionApp makes perfect sense because these companies are collecting customer data from everywhere and need a clean way to route it to their attribution system. When I see 6Sense Website Identification alongside AttributionApp, it signals that anonymous buyer research is a huge part of their funnel, and they want to connect those early dark funnel signals to eventual revenue. The Reddit Ads correlation is particularly interesting because it shows these marketers are experimenting beyond standard channels like LinkedIn and Google. They need attribution tools precisely because they're testing unconventional platforms where ROI is harder to prove.
The full stack reveals marketing-led organizations that are probably Series A to C stage, past product-market fit but still optimizing their go-to-market motion. They've invested in expensive tools like Chili Piper for meeting scheduling and 6Sense for intent data, which suggests meaningful budgets and a focus on conversion optimization. The presence of PostHog Session Recording shows they're technical enough to instrument their websites deeply and want both quantitative attribution and qualitative insights into buyer behavior.
👥 What types of companies is most likely to use AttributionApp?
Source: Analysis of Linkedin bios of 76 companies that use AttributionApp
Company Characteristics
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Shows how much more likely AttributionApp 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: US
4.9x
Company Size: 11-50
2.5x
I noticed AttributionApp attracts a fascinating mix of companies, but they share a common thread: they're all in the business of acquiring and converting customers at scale. These aren't pure software companies building developer tools. Instead, I'm seeing direct-to-consumer brands (Milan Laser, NOBULL, Orgain), ecommerce retailers (McGee & Co., Feature, Frame My Mirror), professional services that rely on lead generation (ISI, Clearview), and marketing agencies serving other businesses (Radd Interactive, Intero Digital). They're companies where customer acquisition cost directly impacts survival.
The stage distribution surprised me. While there are Series A and B companies (Starbridge, Oscilar, Avive), the majority are either bootstrapped or in that awkward middle zone: past startup, not yet enterprise. Employee counts cluster in the 50-200 range. Many show no funding or modest seed rounds, suggesting they're profitable enough to grow organically but still need to prove efficiency in every dollar spent. They're at the stage where attribution becomes critical because waste is no longer affordable.
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