Agile Monthly ROI
Traditional measurement methods are like ancient astronomers, taking several months to collect data, cleanse and model. By the time this ROI data reaches your marketing command center, it's as outdated as last year's star charts.
We harness the power of Causal AI and transfer learning techniques to deliver monthly ROI models with just a 2-week lag.
Monthly ROI with 2-Week Lag
Our new paradigm offers:
- Comprehensive view across all channels
- Detailed audience segment insights
- Consolidated broad and granular data
Benefits
- Reveals intricate patterns and audience-specific trends
- Enables precise optimization and personalized strategies
- Smarter budget allocation
- Improved targeting
- Higher overall ROI
This powerful approach empowers marketers to make swift, confident, data-driven decisions, piloting their business through the ever-expanding universe of opportunities with effective, audience-centric marketing strategies.
Revolutionary Transfer Learning
To deliver monthly ROI models with just a 2-week lag, our engine harnesses transfer learning techniques. This allows for efficient model adaptation and fine-tuning using the most recent data.
The pre-trained causal models, which capture the general causal relationships and dynamics, serve as the starting point for transfer learning.
As new data becomes available, our engine performs efficient fine-tuning of the causal models, updating the parameters and causal strengths. It's like recalibrating your marketing compass in real-time as you navigate through uncharted market territories.
Continuous Learning and Model Refinement
As more data flows into our system over time, like stardust gathering to form new celestial bodies, our engine continuously refines and updates the causal models. This ensures they remain accurate and relevant in the face of evolving market dynamics, always ready to chart the newest constellations in your marketing sky.
Our incremental structure learning enables our engine to adapt the causal models in a streaming fashion, incorporating new data and adjusting the causal structures as needed.
Counterfactual Inference and Scenario Simulation
With counterfactual inference, you can evaluate the impact of hypothetical interventions or changes in marketing strategies.
We simulate alternative scenarios by intervening on specific variables in the causal model and propagating the effects through the causal pathways.
By simulating multiple scenarios and comparing predicted outcomes, The AI Cockpit can recommend optimal marketing strategies.
