AIM employs dynamic model building to always monitor and update factors that influence your business. This model encapsulates all the factors affecting your sales funnel – from seasonality and network capacities to incremental drivers and beyond.
AIM is structured around three core elements:
AIM’s sophisticated methodology lies at the heart of its effectiveness. It employs cutting-edge, nonlinear structural time series models to interpret and forecast your business dynamics. This advanced methodology provides AIM with a unique capacity to understand and respond to complex trends.
Model building and training at AIM is a three-phase process:
Historical Data Analysis: Initially, AIM uses historical data to understand the unique characteristics of your brand. By examining past performance, identifying patterns and trends, and understanding the influencing factors on your outcomes, AIM sets a solid foundation for your model.
Real-time Updates: After the initial phase, AIM enters a continuous learning phase. It updates your models every day with real-time campaign results, ensuring the data guiding your decisions is always up to date. This dynamic aspect of AIM allows it to adapt to changes in the marketing landscape or your business, ensuring your strategies remain relevant and effective.
At its core, AIM is a next-generation marketing mix modeling (MMM) tool that transcends traditional analytics. It constructs a dynamic, comprehensive profile for your brand, grounded in robust data and refined through machine learning. This facilitates a better understanding of your marketing performance and offers actionable insights that can drive growth and efficiency.
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