Fospha
Privacy-first attribution methodology that works effectively in cookieless environments
Last updated May 11, 2026
- Industry
- Marketing Technology (MarTech) - Attribution & Analytics
- Business Model
- B2B SaaS
- Target Market
- E-commerce brands, direct-to-consumer (DTC) companies, online retailers, and digital marketing teams seeking advanced marketing attribution and measurement solutions
- Employee Count
- 51-200
- Funding
- series-a
- Revenue Range
- $1M-$10M
- API Available
Fospha positions itself as a next-generation marketing attribution platform specifically designed for e-commerce brands navigating the post-cookie era. The company differentiates through its focus on incrementality measurement and advanced statistical modeling rather than relying solely on pixel-based tracking.
Fospha is a marketing measurement and attribution platform that specializes in helping e-commerce and direct-to-consumer (DTC) brands understand the true impact of their marketing investments. The company provides advanced multi-touch attribution technology that goes beyond traditional last-click models, enabling businesses to measure incrementality and optimize their marketing spend across multiple channels including paid social, paid search, display advertising, and other digital marketing channels. Founded to address the growing complexity of modern marketing attribution, Fospha leverages sophisticated data science and machine learning algorithms to provide actionable insights into customer journeys. The platform is designed to help marketing teams make data-driven decisions by revealing which marketing touchpoints actually drive conversions versus those that simply take credit for them. Fospha serves primarily e-commerce brands and retailers who need to maximize return on ad spend (ROAS) in an increasingly privacy-focused digital landscape where traditional tracking methods are becoming less effective.
Multi-Touch Attribution
Advanced attribution modeling that tracks customer journeys across multiple touchpoints to determine true marketing effectiveness beyond last-click attribution
Incrementality Measurement
Measures the incremental impact of marketing campaigns to identify which channels and campaigns actually drive additional conversions
Marketing Mix Modeling
Statistical analysis of marketing performance across channels to optimize budget allocation and maximize ROAS
Cross-Channel Analytics
Unified view of marketing performance across paid social, paid search, display, email, and other digital channels
Budget Optimization
AI-powered recommendations for optimal marketing budget allocation across channels based on performance data
Real-Time Reporting
Live dashboards and reporting tools providing up-to-date insights on marketing performance and attribution