
OPTIMIZE MARKETING PERFORMANCE TO ACTUAL REVENUE
Galileo is a cookieless, first-party, multi-touch attribution platform built for real-time performance. It measures every customer touchpoint across channels and connects it to revenue—not vanity metrics.
- Unlimited Lookback Window
- Revenue-Based Attribution, Not Just Clicks
- CRM-Synced, Channel-Agnostic Insights
- Arcalea’s Guarantee
Brand Experience
Platform Capabilities
Galileo uses proprietary first-party tracking and a cookieless payload architecture to ensure accuracy, compliance, and data ownership.
Go beyond clicks. Galileo tracks every touchpoint and connects it directly to revenue.
Seamlessly integrates with CRMs like HubSpot, Salesforce, and Slate.
Technical Advantages
Future-proof your technical architecture with first-party data capture and eliminate uncertainty from your ecosystem.
AI-driven insights drive performance faster than analysts alone. Demand more from your marketing platform.
See performance across multiple dimensions and identify the most valuable traffic source for revenue conversions.
Why Galileo?
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WHAT DOES GALILEO PROMISE?
Galileo vs. Built-In Attribution Platforms
Feature | Most Built-In Attribution Platforms | Galileo (Arcalea) |
---|---|---|
Multi-Touch Attribution (First, Last, Linear, Time Decay, Custom Models, etc.) | ||
Unlimited Lookback Windows | ||
First-Party, Cookieless Tracking | ||
Cross-device tracking with Unified Customer Profiles across devices | ||
Full CRM integration sync to enrich and complete CRM records | ||
Live dashboard with customizable insights | ||
Industry-specific or business-specific custom attribution models | ||
Reporting reveals inter-channel influence and full-funnel ROI optimization | ||
Machine Learning & AI maximizes discovery and predictive modeling | ||
Eliminates “automation bias” by using complete, owned data instead of ad platform self-reporting. | ||
Tracks and maps every touchpoint (paid, owned, earned) | ||
Deployable in days; minimal lift for agencies | ||
Tracks actual revenue impact and LTV instead of focusing on vanity metrics. |