DATA FLOW & REPORTING
Follow the data from first ad click through identity resolution, attribution modeling, and into the dashboards your team uses every day.
User is directed to your site via AiTRK's tracking flow.
User behavior captured by the AiTRK pixel in real time.
Event logs land in the Atrilyx analytics environment (Azure Databricks).
Persistent anonymous IDs assigned, unifying sessions across devices.
Ad network & CRM data ingested via API/flat file and joined to user profiles.
Attribution modeling + joined reporting tables for multi-touch analysis.
Atrilyx front-end surfaces dashboards, cohort views, and exports.
FREQUENTLY ASKED QUESTIONS
Data flows through a 7-stage pipeline: (1) the pixel captures events on your site in real time, (2) events stream instantly to the collection endpoint, (3) data is ingested into Azure Databricks, (4) identity resolution links sessions across devices, (5) attribution models process touchpoints, (6) network campaign data refreshes 3 times daily, and (7) results surface in Atrilyx dashboards and API exports. Note: AiTRK pixel data collection is real-time — the 3x daily refresh applies to network campaign data ingestion.
AiTRK's data pipeline runs on Azure Databricks, providing enterprise-grade scalability, security, and processing speed. AiTRK pixel data streams in real time, while network campaign data refreshes 3 times per day to keep attribution insights current.
Network campaign data in Atrilyx refreshes 3 times daily — approximately every 8 hours. AiTRK pixel data collection is real-time, so event data is available immediately in the pipeline. This ensures that campaign optimization decisions are based on near-current data rather than yesterday's numbers.
Yes. Atrilyx provides multiple data export options including scheduled dashboard reports, API access for custom integrations, and direct data warehouse connections. Data can be exported to your preferred BI tools, spreadsheets, or internal data systems.
AiTRK is the foundation of the Atrilyx platform. Book a demo to see the full stack — from pixel to AI.