AI-driven marketing mix modeling for optimal ROI
August 26, 2024 at 8:58:04 PM
What is Keen Decision Systems?
Keen Decision Systems offers an AI-powered Marketing Mix Modeling (MMM) platform designed to revolutionize marketing strategies. By integrating marketing measurement, media planning, and profit & loss forecasting, Keen's software empowers brands and agencies to make data-driven decisions, maximize revenue, and clearly demonstrate ROI.
Features
- Marketing Mix Modeling: Utilizes Bayesian methods to create adaptive models that ensure relevance and accuracy over time.
- Media Planning: Allows for real-time measurement of historical results and future scenario planning across all channels.
- Annual Planning: Provides fast and accurate readings of marketing performance metrics to help organizations hit their strategic goals.
- Marketing Measurement: Automates data loading and enables swift measurement of historical results and future scenarios.
- Demand Planning: Leverages data and insights to develop accurate forecasts and adjust strategies to meet changing market demands.
- Retail Media Optimization: Optimizes spending across multiple media networks by factoring in historical data and trends.
- Revenue Forecasting: Updates factors and inputs business data to forecast future revenue and create new plans for better outcomes.
Use Cases
- Brand Marketers: Optimize your full marketing budget, demonstrate ROI, and drive profitable growth in real-time.
- Marketing Leaders: Determine how to split your overall budget across multiple brands to maximize profit.
- Agency Leaders: Help clients identify where they are leaving money on the table and where to invest next.
- Retailers: Know exactly how much to spend, where, and when across multiple media networks.
- High-Growth Brands: Gain predictability and make informed decisions when pulling marketing levers for the first time.
Pricing
Keen Decision Systems offers a free trial to get started. For detailed pricing information, please visit their website or contact their sales team.
FAQs
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