Track Revenue provides performance marketing software that lets media buyers and affiliate networks track, manage, analyze, and optimize campaigns with real‑time analytics on billions of events. The platform includes machine‑learning‑powered smart links and a unique caps feature, enabling users to automatically optimize spend and set custom performance limits. By consolidating all campaign data in one interface, it helps marketers gain actionable customer insights and maximize advertising ROI.
Funding
Funding not disclosed
Founders
Product
Problem
Media buyers and affiliate networks often struggle with fragmented campaign data, delayed reporting, and limited automation, making it difficult to optimize spend and achieve consistent ROI across large volumes of ad events.
Solution
Track Revenue offers a unified performance marketing platform that aggregates real‑time analytics from billions of ad events into a single dashboard. Its machine‑learning‑driven smart links automatically adjust targeting parameters to improve conversion efficiency without manual intervention. Users can configure custom spend and performance caps per campaign, ensuring precise budget control and adherence to KPI thresholds. The platform’s API integrates with existing marketing stacks, allowing teams to incorporate advanced analytics and optimization into their current workflows.
Target Audience
Primary customers are media buying agencies and affiliate network operators who manage high‑volume digital advertising campaigns and require automated optimization and detailed performance analytics.
Features
- Real‑time tracking and reporting of billions of ad events across multiple channels
- Smart link technology powered by machine learning that auto‑optimizes targeting and routing
- Customizable campaign and offer caps for granular spend and performance management
- Centralized campaign setup, monitoring, and optimization within a single web interface
- API access, including a Microsoft Cortana‑based machine learning endpoint, for seamless integration with third‑party tools