OUSIS
AI Powered Marketing Analytics System
What It Does
Beyond traditional analytics. A complete simulation of your market.
Bayesian MMM Analysis
Analyze marketing spending with advanced Bayesian Marketing Mix Modeling to understand channel performance.
AI Market Simulation
A super intelligent system that simulates your entire market. Don't just analyze the past—predict the future.
Predictive Lift
Know exactly what happens if you increase or decrease spend on any channel before you spend a dime.
Creative Optimization
Identify which ads need improvement. Get predicted lift metrics for new ad designs instantly.
Landing Page Intelligence
Analyze landing page performance and receive actionable insights on how much it can improve.
Total Reach Estimation
Answer the ultimate question: "How many users can I ultimately reach?" using market simulation.
How It Works
Asset Evaluation
Specify your landing page and upload ads for immediate AI evaluation. Results are stored securely in OUSIS.
Data Preparation
Upload a CSV with daily records of spending, impressions, clicks, engagements, bounce rates, and purchases. OUSIS intelligently maps your columns to specific ads or landing pages.
Persona Creation
Define the personas you want to target based on 5 key psychological axes.
These combinations cover >90% of purchase decision psychology.
Simulation & Insights
Our proprietary model learns from your data to build market and decision models. Once trained, ask complex questions like:
- "What’s the attribution of each ad to total purchase?"
- "What if I spend 50% more on one ad?"
- "What’s the perfect ad look like?"
- "For a new ad, what performance can I expect?"
Why OUSIS is Superior
The "Blind Spot" of Modern Attribution
Traditional attribution models observe outcomes (clicks) but fail to distinguish between market limits (running out of people) and creative fatigue (running out of interest). They tell you what happened, not why.
The Solution: Inverse Agent Simulation
OUSIS introduces Mechanistic Agent Attribution (MAA)—a white-box framework that reconstructs the unobserved User Decision Process.
1. Market Supply
Modeled via price-elasticity to estimate total reachable population.
2. Brand Memory
Modeled as a decaying stock of exposure.
3. Decision Gates
Explicitly separating "Attraction" (Ad-driven click) from "Commitment" (Landing Page-driven purchase).
By constraining the simulation with physical laws and cognitive rules, we disentangle Creative Quality from Audience Size. This gives you a concrete estimate of your campaign’s maximum potential reach and the specific reasons behind any performance drop.