

Greg Dolan, CEO & Co-FounderAgainst this challenging backdrop, Keen Decision Systems offers MIDA (Marketing Investment Decision Analysis), a decision support system for marketers to optimize their performance in real-time, execute better decisions and efficiently deploy marketing spend across their mix. This enables a business to deploy a quick, efficient and agile marketing strategy. “Decision making becomes tougher as the industry continues to evolve, and a platform like ours is imperative for marketers to keep up with the speed of the market,” says Greg Dolan, CEO and co-founder of Keen Decision Systems, who co-founded the company in 2010 along with John Busbice.
MIDA delivers historical performance measurement and predictive and prescriptive assistance for marketers to optimize their spending choices across all channels and ties investments to financial outcomes. MIDA displaces the traditional marketing analytics, data science, and consulting work of current-day marketers and helps them in their decision-making process. “MIDA reveals the best areas to invest in and delivers a comprehensive perspective of the external environment and the market,” states Dolan. Dolan spent over a decade as a brand marketing executive with major CPG companies, where he craved insights that would allow him to understand how his marketing investments were driving business growth and shareholder value. He co-founded Keen to help marketers achieve just that, with a system that can predictively and prescriptively optimize a marketer’s investment decisions to maximize revenue, profitability and long-term value creation.
At the core of MIDA’s functionalities, marketers have access to their brand’s full knowledge estate, enabling them to build an accurate marketing model that can guide data-driven decisions in service of specific business objectives. The unique set of algorithms used by Keen’s system leverages a propriety database, called Keen’s Marketing Elasticity Engine (MEE) that offers a host of prior elasticities.
MIDA utilizes a Bayesian regression technique that leverages elasticities from Keen’s MEE as a “starting point”. However, these elasticities can be adjusted with information from any brand-specific studies including multi-touch attribution, previous marketing mix, and A/B testing. Keen’s system then ingests the historical marketing activity and financial data, which “pushes and pulls” the prior elasticity based on the data signal. Over time, new information can be appended to the system which, through machine learning,“teaches” the elasticities based on the new data patterns. This gives marketers the opportunity to analyze marketing performance across different tactics on financial outcomes, based on the latest information at any point in time.
The Differentiating Edge
From the many remarkable client success stories, Dolan recalls the successful partnership with Post Consumer Brands, a leading American breakfast cereal manufacturer. Keen helped the Fruity Pebbles brand adopt a forward-thinking approach to their marketing decisions, providing the team with a framework to understand how they can more effectively and efficiently invest their marketing dollars. Keen’s expert team tailored their solution to account for all the data related to the brand’s marketing tactics, including various channels, seasonal competitive factors, pricing, trade activities, and external factors. Later, data from prior studies such as a previous marketing mix and MTA (multi-touch attribution) were incorporated into the system. Keen closely collaborated with the Fruity Pebbles team to identify all of the data sources for their marketing tactics, such as historical related to different media channels. Ultimately, the team was provided with a flexible, agile system that could automatically ingest data through APIs and other data connections, updating as new information became available. After just six weeks, the brand was up and running in a system with the ability to estimate models, run scenarios, and view results with a click of a button. The ultimate goal was to offer an easy workflow from start to finish, and Keen Decisions Systems was able to exceed the client’s expectations. Most importantly, the Pebbles brand saw real results. While the cereal category declined by about five percent over the prior year, Pebbles grew by 12 percent.
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Decision making becomes tougher as the complexity of the marketplace continues to evolve, and a platform like ours is imperative for marketers to keep up with the speed of the market
For the road ahead, the company will continue its endeavor of developing the platform to be more powerful where it can effortlessly connect to various data sources and continuously update with new information. Keen’s focus consistently remains on delivering an excellent user experience, with the company’s product and development team working to deliver a seamless, digestible workflow and interface. Dolan foresees a future where the system will “close the feedback loop,” automating data ingestion, decision making, and results by connecting all information and data sources to provide actionable recommendations within a continuous loop of information. “We aspire to provide confidence to marketers so that they can approach the CFOs and the rest of the C-suite with a deep understanding of how marketing is driving their businesses, and how to maximize that impact with each next decision,” Dolan concludes.
Keen Decision Systems News
Keen Introduces Interpretive AI to Forecasting Tool
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Company
Keen Decision Systems
Management
Greg Dolan, CEO & Co-Founder
Description
Keen Decision Systems offers a decision support system that delivers both performance measurement and predictive and prescriptive assistance for marketers in optimizing spend choices across all channels. The platform named MIDA displaces the traditional marketing analytics, data science, and consulting work of current-day marketers and helps them in their decision-making process.At the core of MIDA’s functionalities, marketers have access to their brand’s full knowledge estate, enabling them to build an accurate marketing model that can guide data-driven decisions in service of specific business objectives.MIDA is built to be industry and data-agnostic, andhas the added advantage of customizable variables, in accordance with the client’s business model.



DURHAM -Keen Decision Systems, announced the launch of a new interpretative AI function to its platform.
Keen is the industry’s first and only decision optimization engine rooted in predictive analytics, powered by AI. The addition of interpretive AI expands upon Keen’s existing marketing mix modeling software to provide marketers with a comprehensive executive summary of their media plan in real-time.
The interpretive AI model overlay analyzes the media plan generated by Keen, while integrating global marketing level insights to provide a high-level analysis specific to that dataset. It also provides recommendations for spending and channel allocation over time, providing marketers with a comprehensive plan without the need for a full analysis. Further, the interpretive AI function adjusts to changes in a marketing mix model, providing new insights based on whether a marketer wants to optimize spend or maximize profit, or if there are changes in the marketing environment, such as seasonal factors or inflation.
“Our platform has long relied on AI to create more impactful and efficient models,” said Greg Dolan, CEO of Keen Decision Systems. “By leveraging interpretive AI, marketers now have a full view of their marketing mix models, forecasts and spend in an easily digestible format, eliminating the need for extensive data analysis and ensuring that teams can deliver effective plan summaries in a matter of minutes.”
According to Keen’s Head of Product, Joshua Lucas, “We see AI as the key to driving down the expertise needed to build models, optimize plans, and communicate insights. From end-to-end we're embedding AI in our platform to enable an informed, quick and delightful experience.”
Emily Doyle, of Premier Nutrition added, “This is a very cool way to visualize data and use AI to synthesize everything, it saves us time and makes our lives easier.”