Keen AI Cortex
The intelligence engine that builds causal, bespoke models in minutes
A database of $48B+ in measured media acts as training data producing customized elasticities and fully calibrated MMM models in minutes.
Keen’s priors are informed by 450+ brands and thousands of economic elasticity models, tuned to your category, weighted by your business environment, modeled on your data.
Powered by data from 450+ brands
One engine. Measure, plan, forecast, & buy.
The cortex gets smarter with every brand added, dollar spent, and decision made. No experiments. No media blackouts.
The true incrementality of every channel, modeled together.
The engine parses through the contribution of every channel to revenue and profit — short-term and long-term. Interaction effects, adstock decay, halo across retail, and the true P&L impact of all working dollars, modeled together.
Explore Keen MeasureEach dollar optimally placed every week.
Our cortex evaluates billions of allocation scenarios in seconds to find where every dollar creates the biggest impact. Defensible budget recommendations backed by billions of evaluated options.
Explore Keen PlanFuture P&L outcomes that are defensible to finance.
Predictive AI builds optimized plans accounting for inflation, category movement, and price trends. Each plan includes a weekly investment schedule and a revenue forecast reconciled within 4%.
Each decision sharpens our AI, training on your real world outcomes.
Close the loop. Compare predicted and actual results to identify exactly what changed, refining model precision to improve the next cycle of investment decisions.
Incremental contribution by channel
52-week allocation, every dollar placed
Revenue forecast, reconciled weekly
±4% bandKeen OS powered by Keen AI Cortex
Six core mechanisms turn measured spend from 450+ brands into a calibrated, bespoke model of your business that you can trust.
01
Continuously calibrated priors
Bayesian priors built from $45B in measured spend, updated continuously as data flows. No lift tests or dark periods. Calibrated from day one.
02
Custom adstock transformations
Decay rates learned per tactic. Short-term and long-term curves that reflect how each channel actually carries over.
03
Channel interaction effects
Measures how channels amplify or duplicate each other — where TV lifts search, or where two channels cannibalize.
04
Environmental interaction effects
Price, distribution, weather, competition — modeled as explicit causal inputs, not noise. Marketing contribution separated cleanly.
05
Computational planning engine
Billions of allocation scenarios evaluated in seconds. Every plan is a testable forecast with probability bands attached.
06
Proprietary optimization algorithms
Years of client practice have shaped Keen’s unique point of view on how marketing works — baked into the model itself.
<4% avg. forecast error
25% avg. Performance improvement
450+Brands modeled
Billions of options. One dollar at a time
Keen’s AI Cortex uses your goal outcome to determine how every dollar should be spent across each tactic over time to achieve the most optimized result.
Every possibility is evaluated one dollar at time at a scale and pace no spreadsheet or human planner could keep up with.
520 combinations
$1 at a time
5.2B options evaluated
Activate Keen AI Cortex
Master the forecast.
Own the allocation.
Deploy the Keen AI Cortex methodology to convert your marketing investment into a defensible growth engine.
Frequently asked questions
What is marketing elasticity engine (MEE)?
Marketing elasticity engine (MEE) is the foundation of Keen’s modeling process. It integrates academic research with a $42B metadata foundation to generate proprietary response curves.
Keen MEE applies a Bayesian framework, combining informed category priors with your brand’s specific time-series data. It analyzes revenue contributions and predicts future impacts. By linking tactical language to performance signals, it breaks down media components into marginal-return projections, turning historical data into a predictive tool for capital allocation.
Can Keen model new or emerging channels?
No. Keen uses your proprietary data exclusively to build a custom, secure model for your specific business. Your individual marketing performance data remains isolated and is never used to train models for other organizations. Our system leverages validated market metadata as a foundational anchor to calibrate your private model, ensuring your strategic insights remain protected.
How does Keen MEE stay accurate during market volatility?
Absolutely! Keen Marketing Elasticity Engine models emerging channels by applying informed priors from similar categories within its extensive performance library. Our language model interprets tactic descriptions and maps keywords to identify performance signals before you build significant historical data.
Keen MEE breaks down marketing tactics into measurable parts—format, environment, placement—to predict impact and decay. This allows confident, science-based forecasting of new investment returns.
Is the Keen methodology suitable for multi-brand portfolios?
Keen MEE maintains accuracy through a high-velocity Bayesian feedback loop. It integrates weekly investment data and actual performance to continuously recalibrate starting priors. Our engine accounts for external variables such as marketing seasonality, competition, and shifting marketplace dynamics.
By normalizing your brand’s data against thousands of validated economic models, Keen’s system distinguishes between tactical performance and broader market volatility, ensuring your elasticity curves remain precise as conditions evolve.
Keep learning: Benefits of Bayesian marketing mix modeling