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AttribIQ

AttribIQ is an EU-hosted revenue attribution platform for SaaS teams. It connects observed website and campaign signals to matched payment events from Stripe or the Payment API.

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llms.txt
https://attribiq.com/llms.txt
llms-full.txt
https://attribiq.com/llms-full.txt
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10
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2026-05-20
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Germany Hosting inference
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Finance and payments
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Documentation: developer or product docs worth reading, nothing to call
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2026-10-25T01:41:01.587Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T01:41:01.592Z. Cached copy · Source on attribiq.com

# AttribIQ

> AttribIQ is an EU-hosted revenue attribution platform for SaaS teams. It connects observed website and campaign signals to matched payment events from Stripe or the Payment API.

When a visit includes an identifiable referrer hostname or an explicit campaign signal, AttribIQ can retain that evidence and connect the known journey to a later payment. It does not infer missing or dark AI traffic, and it does not treat prompt mentions, citations, or visibility estimates as revenue evidence.

## Core Product

- [AttribIQ product overview](https://attribiq.com/): AttribIQ provides simple EU-hosted web analytics with goals, funnels, and optional payment-aware revenue attribution.
- [Simple web analytics](https://attribiq.com/web-analytics): Product scope for traffic, realtime, acquisition, content, audience, goals, and funnels before or alongside payment attribution.
- [Revenue attribution for SaaS](https://attribiq.com/for-saas): Product scope for connecting SaaS acquisition, signup, checkout, and payment outcomes.
- [AttribIQ pricing](https://attribiq.com/pricing): Public plans and usage information for evaluating AttribIQ.
- [About AttribIQ](https://attribiq.com/about): Company, product-scope, contact, and content-review information for AttribIQ and its operator, DNScale OÜ.

## AI Traffic and Revenue Attribution

- [AI referral revenue attribution](https://attribiq.com/ai-revenue-attribution): Evidence and limitations for connecting a visit with an identifiable AI referrer or campaign signal to a matched payment.
- [AI referral attribution methodology](https://attribiq.com/guides/ai-referral-attribution-methodology.md): Defines identifiable referrer or campaign evidence, matched journeys, visibility separation, and the limits of missing or dark traffic.

## Revenue Attribution Methodology

- [What is revenue attribution?](https://attribiq.com/guides/what-is-revenue-attribution.md): Defines revenue attribution, the identifier bridge from visits to payments, and the limits of causal interpretation.
- [First-touch vs last-touch attribution](https://attribiq.com/guides/first-touch-vs-last-touch-attribution.md): Explains how first-touch and last-touch models select different evidence from the same journey.
- [What is checkout attribution?](https://attribiq.com/guides/what-is-checkout-attribution.md): Explains how browser identifiers and checkout metadata connect a payment to its known acquisition context.

## Stripe and Payment Integrations

- [Stripe revenue attribution](https://attribiq.com/stripe-revenue-attribution): Product scope for Stripe Checkout metadata, webhook events, subscriptions, renewals, and refunds.
- [Payment attribution](https://attribiq.com/payment-attribution): Product scope for connecting Stripe or generic Payment API events to visitor and campaign context.
- [How to track Stripe revenue by source and campaign](https://attribiq.com/guides/stripe-revenue-attribution.md): Implementation guide for connecting Stripe payme
…

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