Articles related to machine learning from the team that helps B2C companies build and defend revenue with AI.
Our clients expect that their persona groups won't shift every time they convert a lead. This is why we are currently researching a new method for determining the optimal number of personas, which focuses on the stability of the persona group.
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K-means clustering is an unsupervised clustering algorithm that dates back to 1957. At Faraday, we use this algorithm to target the optimal number of personas hidden within your data.
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As competition increases and as ad space gets more crowded, consumers have more choices of businesses to engage with, making machine learning critical to efficiently reaching and engaging your customers.
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Considerations for B2C marketers thinking about using AI. Establish clear goals, get your data in order, and choose the right implementation approach.
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For nearly every B2C company, revenue is linked to the customer lifecycle. Leverage rich customer data and predictive analytics techniques to generate insights and make predictions that measurably improve outcomes at each stage of the customer lifecycle.
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Diminishing barriers to entry for machine learning Thanks to major improvements in computing power and network speed over the last decade, the barriers to leveraging machine learning have diminished significantly. We’re now seeing a wealth of companies fundamentally changing their industries with innovative data-driven processes optimized with advanced machine
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