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AI Marketing Attribution SaaS with CRM & Revenue Tracking
I built PeoplePixel, an AI-powered SaaS platform designed to help businesses turn anonymous website traffic into identifiable leads and measurable revenue.
The core problem was that most websites lose the majority of their visitors as “ghost traffic” without any way to identify, follow up, or measure impact. PeoplePixel solves this by combining visitor identification, CRM integration, and revenue attribution into one unified system.
I designed and developed the platform end-to-end using Next.js, TypeScript, and Supabase, building a multi-tenant SaaS with authentication, team workspaces, billing, and secure data access using Row-Level Security.
A key part of the product is the free traffic audit funnel. Users can enter their website URL to receive an automated analysis of missed revenue opportunities using Firecrawl and DataForSEO. This creates a strong entry point into the platform and drives conversion into the full product.
On the data side, I integrated IntentWave for visitor identification and GoHighLevel as the CRM layer, syncing contacts, outreach activity, and purchase data. I then built a custom attribution engine that matches visitors to revenue using confidence-based scoring derived from email, SMS, and call engagement signals.
The system runs on background pipelines using scheduled jobs and webhook ingestion to continuously process attribution data and update reporting in near real-time.
The final product provides a complete ROI dashboard, including visitor insights, attributed revenue, funnel analytics, and pipeline performance, enabling businesses to clearly understand and recover lost revenue.
This project highlights my ability to design and build complex SaaS platforms that combine data pipelines, third-party integrations, and product-driven user experiences into a cohesive system.
The network for creativity
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