attribiq.com valid
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.
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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