Marketing & Advertising
Factored builds production AI for marketing teams that improves targeting, attribution, and ROI across channels at scale.
AI Systems That Maximize Revenue, Efficiency, And Measurable Impact
01
Audience Segmentation & Personalization at Scale
Increased engagement and conversion by delivering highly relevant experiences in real time.
Built ML-driven audience segmentation, clustering, and personalization systems using behavioral, transactional, and contextual signals.
Built ML-driven audience segmentation, clustering, and personalization systems using behavioral, transactional, and contextual signals.
02
Attribution, Measurement & Spend Optimization
Improved marketing ROI and reduced wasted spend across channels.
Designed multi-touch attribution models and optimization pipelines that connect impressions, actions, and revenue outcomes.
Designed multi-touch attribution models and optimization pipelines that connect impressions, actions, and revenue outcomes.
03
GenAI for Market Insights & Creative Intelligence
Accelerated insight generation while reducing reliance on slow, expensive research cycles.
Deployed LLM-powered systems to simulate audiences, test messaging, and surface actionable market intelligence.
Deployed LLM-powered systems to simulate audiences, test messaging, and surface actionable market intelligence.
Case Studies & Proven Impact
Adaptive, Real-Time Personalization with Reinforcement Learning
Personalize every customer interaction to maximize engagement and conversion
- Static recommendations and one-size-fits-all targeting limited discovery and engagement.
- Deployed a session-aware reinforcement learning system that adapts recommendations in real time across web and mobile.
- 58% increase in click-through rate, 36% lift in conversion, and 31% more product variety shown per session.
Customer Segmentation & LTV Optimization
Identify high-value customers and allocate spend where it matters most.
- Marketing spend was inefficient due to limited visibility into customer lifetime value and behavior.
- Built ML-based clustering and segmentation models to group customers by value, behavior, and growth potential.
- Improved targeting precision, higher LTV, and more efficient acquisition and retention strategies.
Multi-Channel Attribution & Budget Optimization
Connect marketing spend to real business outcomes.
- Teams lacked clear attribution across channels, leading to suboptimal budget allocation.
- Designed attribution models linking impressions, conversions, and revenue across digital channels.
- Reduced wasted spend and improved ROI through data-driven budget reallocation.
Leveraging LLMs for Synthetic Market Research
Replace slow market research with AI-driven insight simulation.
- Traditional research methods were slow, expensive, and inflexible.
- Built LLM-powered synthetic personas to simulate audience reactions, pricing sensitivity, and messaging effectiveness.
- Faster insight cycles, lower research costs, and rapid experimentation without third-party studies.
Campaign Performance Analytics & Optimization
Optimize campaigns continuously instead of post-mortems.
- Campaign insights arrived too late to influence performance.
- Built real-time dashboards and ML models to track performance and surface optimization opportunities.
- Faster optimization cycles, improved campaign efficiency, and clearer visibility into marketing impact.
Three Engagement Models
Embedded Engineers
Elite, dedicated engineers who onboard quickly, are embedded in your team, and are managed by your stakeholders.
Managed Services
End-to-end AI and data solutions designed, managed, and scaled by Factored to drive measurable ROI.
Advisory in AI, ML, and Data
Senior architects guide feasibility, prioritization, and strategy with expert insight to de-risk critical decisions, solve challenges and drive competitive advantage.
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