Atrilyx
The attribution platform we built because the alternative was making billion-dollar media decisions on structurally biased data.
Every ad network is designed to take credit for conversions, not reveal what drove them. Atrilyx is the infrastructure we built to answer that question honestly. It is the platform we run every Ai Media Group media decision through, every day.
The Structural Problem
Every ad network grades its own homework.
This is not a data quality problem. It is a structural one.
Every ad network runs its own attribution model. Meta credits itself. Google credits itself. Programmatic DSPs credit themselves. Each uses different attribution windows, different conversion definitions, different weighting logic. None of it reconciles.
Add up what every platform claims it drove and the total is routinely two to three times actual revenue. The customer bought once. Four channels took credit.
This is structural bias, not bad data. That distinction matters because better reporting tools on biased inputs produce more confident wrong answers.
Reconciled by Atrilyx
Why Platform Reporting Fails
Generic attribution platforms model the problem. They do not reconcile it.
Most attribution platforms sit on top of network-reported data and run modeling over it. Better models on biased inputs produce more confident wrong answers.
Phone calls. Significant conversion events in healthcare, financial services, automotive, home services, and hospitality happen over the phone. Most platforms miss them entirely.
CRM reconciliation. A lead attributed is not a customer acquired. Without one-to-one matching between attribution data and actual closed business, media performance stays disconnected from what the company actually measures.
Why Agencies Fail
Most agencies optimize against the networks. We optimize against the attribution truth the networks can’t provide.
Most agency performance reporting is built on the same structurally biased network data. The agency receives the reports. The reports get compiled. Nothing gets reconciled against an independent source.
Ai Media Group is structured differently. We built the attribution infrastructure the networks can’t provide, and we run every optimization decision through it.
What Atrilyx Is
The attribution operating system underneath the media.
Atrilyx is not a reporting dashboard. It is not an analytics tool. It is the infrastructure that connects every channel, every device, every touchpoint, and every conversion into one reconciled source of truth. AI sits directly on top of that data for both the operators running media and the clients it runs on behalf of.
Built on patented attribution technology (U.S. Patent No. 10,091,321). Certified by Google Ads as a third-party click measurement partner. HIPAA, GDPR, and CCPA compliant. Running on first-party, server-side infrastructure designed to mitigate browser tracking restrictions and reduce reliance on third-party cookies.
What It Does
Multi-touch attribution, reconciled against network data
Atrilyx runs its own attribution model across every channel, device, and touchpoint and shows the result side-by-side with what each network reported. The comparison is the insight.
First-party measurement infrastructure built for privacy change
The Atrilyx pixel is built on patented attribution technology and certified by Google Ads as a third-party click measurement partner. It runs on first-party, server-side infrastructure designed to mitigate browser tracking restrictions and reduce reliance on third-party cookies, engineered to remain reliable as privacy standards continue to evolve.
Phone call attribution, fully integrated
Every inbound call captured, transcribed, attributed to the campaign, keyword, ad, and journey that drove it, and reconciled against CRM data. AI signal detection surfaces caller intent, conversion likelihood, and lead quality.
CRM reconciliation, one-to-one
Atrilyx matches every attributed conversion one-to-one against the CRM. Not modeled. Not estimated. Matched. A lead attributed is not a customer acquired. Atrilyx shows which attributed conversions turned into actual closed revenue.
AI built into how decisions get made
Two AI layers, both operating on reconciled attribution data. The Atrilyx AI Agent watches pacing, conversion shifts, and channel-level anomalies in real time, surfacing what moved before a weekly report would catch it. It gets sharper from the media it monitors and the reviewed decisions operators make — learning which signals actually matter on your accounts. The Atrilyx AI Assistant lets clients ask questions about their performance in plain English and get answers grounded in their full attribution picture. Neither is a chatbot bolted onto a report.
Performance tables that reconcile network and Atrilyx
Side-by-side performance tables that show network-reported and Atrilyx-attributed conversions together. The divergence is visible, explainable, and actionable.
Trust & Infrastructure
Built for the scrutiny of enterprise media decisions.
- U.S. Patent No. 10,091,321 — patented attribution technology and methodology
- Certified by Google Ads as a third-party click measurement partner
- HIPAA compliant — BAAs available for healthcare clients
- GDPR compliant — consent management, right-to-erasure, data residency options
- CCPA compliant — consent management, data subject rights, opt-out infrastructure
- Enterprise infrastructure on Microsoft Azure
- First-party, server-side infrastructure designed to mitigate browser tracking restrictions and reduce reliance on third-party cookies
- Backed by Blackstone
How It’s Different
Not built to compete with attribution platforms. Built because none of them were enough.
Most attribution platforms were built as reporting layers on top of the same biased network data. Atrilyx was built as operational infrastructure by a team running real media on real client budgets who needed a source of truth the networks couldn’t provide.
That is the difference. Not positioning. Architecture. The AI layer runs on top of that architecture — not on top of what the networks report.
The AI Layer
AI built on the attribution data underneath it.
Atrilyx puts AI directly on top of reconciled attribution data — not on top of what the networks report. Two layers: the Atrilyx AI Agent for the operators running media every day, and the Atrilyx AI Assistant for clients who want answers grounded in their full attribution picture. Neither is a dashboard feature. Both operate on the same source of truth as everything else in the platform.
Common Questions
Attribution, explained.
What is marketing attribution?
Marketing attribution is the process of identifying which channels, campaigns, and touchpoints actually drove a customer to convert. Most attribution systems rely on ad network reporting, which is structurally biased because every network is designed to take maximum credit for conversions. Accurate attribution requires an independent source of truth that reconciles performance across channels instead of accepting what each platform reports about itself.
What is structural bias in ad network reporting?
Structural bias is the built-in incentive every ad network has to overclaim its own contribution to a conversion. Meta, Google, programmatic DSPs, and retail media networks each run their own attribution models with their own windows and weighting logic. None of them reconcile against each other. The result is that adding up what every platform claims it drove routinely produces two to three times actual revenue. Structural bias is not a data quality problem. It is an architectural one.
What is attribution reconciliation?
Attribution reconciliation is the process of connecting every paid and organic touchpoint, phone call, and conversion event into a single deduped view of what actually drove the customer to convert, and matching that against actual business outcomes in the CRM. Reconciliation is what separates an independent source of truth from a platform dashboard that reports on itself.
How is Atrilyx different from standard attribution platforms?
Most attribution platforms sit on top of network-reported data and run modeling over it. Better models on biased inputs produce more confident wrong answers. Atrilyx captures, reconciles, and attributes independently from the source, using a first-party pixel built on patented attribution technology and certified by Google Ads as a third-party click measurement partner. It connects phone calls, CRM data, and every digital touchpoint into one view that the networks do not control.
Why does last-click attribution fail?
Last-click attribution credits the final touchpoint before a conversion, usually brand search or a direct visit, and ignores every channel that built the intent to convert. It systematically undervalues upper-funnel channels like social, programmatic, and CTV that initiate customer journeys, and overvalues lower-funnel channels that close them.
What is first-party attribution infrastructure?
First-party attribution infrastructure captures conversion data using first-party cookies and owned tracking technology rather than relying on third-party data brokers, fingerprinting, or network pixels. It remains resilient as browsers continue restricting third-party tracking. Atrilyx runs on first-party, server-side infrastructure designed to mitigate browser tracking restrictions and reduce reliance on third-party cookies — which is why it remains reliable as privacy standards continue to evolve.
How does AI improve attribution accuracy?
AI only improves attribution when it operates on reconciled data rather than network-reported conversions. Inside Atrilyx, every AI layer operates on attribution data that has been reconciled, deduped, and matched against actual CRM outcomes — not on network-reported conversions. It improves identity resolution across devices, reconstructs customer journeys from fragmented signals, and surfaces anomalies and optimization opportunities in real time. AI operating on structurally biased attribution produces faster wrong decisions. AI operating on reconciled attribution data produces faster accurate ones.
What is CRM reconciliation in attribution?
CRM reconciliation is the process of matching marketing attribution data one-to-one with actual closed business in the CRM, so media performance is measured against revenue, appointments, enrolled students, or signed contracts rather than ad platform conversion counts. Without CRM reconciliation, a marketing team can hit every attributed conversion goal while the business misses its actual targets.