AgilOne was founded out of a need we had as frustrated retail marketing leaders. The available analytical and attribution analysis tools were not adequate in handling data from disparate sources, which are an ever growing problem in the world of mobile, social, and multi-channel marketing.
AgilOne delivers a “data scientist in the cloud” that replaces the old way of looking at marketing data. Getting data out of these systems was often complex and required an analyst to perform SQL queries and do manual attribution analysis. Simple predictive algorithms were hard to put into production. Even if marketers could get the right data, acting on it was difficult as the reporting and campaign management tools were not integrated.
Simply put – the path from marketing data to effective campaigns was convoluted and inefficient. We knew there had to be a better way, and out of our passion to find it, AgilOne was born.
Companies gain a sizable competitive advantage when they can harness the power of their data. This requires the ability to handle the sheer volumes of information, from multi-channel sources such as internal customer data, web activity, social data, and much more. Some are internal data sources; many are externally collected and combined in the customers’ database. Most of the data is collected real-time. AgilOne’s powerful engines collect the information from these disparate channels, cleanse and standardize it, run calculations and predictions, and make it available in the cloud for predictive analytics. In short, AgilOne makes the data clean and smart.
Our strength and approach comes from our diverse backgrounds. In order to create a product that meets our clients’ needs, we draw from our experience at strategy consulting firms such as McKinsey & Company, advanced degrees in analytical disciplines, attribution analysis, and executive marketing roles at leading retailers including Best Buy.