
Using journey mapping to optimize customer experience
Journey mapping helps brands understand the sequence of actions a customer is likely to take – and it has strategic implications.
Read moreA collection of 6 posts
Journey mapping helps brands understand the sequence of actions a customer is likely to take – and it has strategic implications.
Read moreA fundamental part of location intelligence, spatial aggregation combines individuals into groups and generalizes information about them.
Read moreOur 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.
Read moreK-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.
Read moreKnowing the expected lifetime spend of new customers fundamentally informs retention efforts.
Read moreAn algorithm contains the biases of its builder. At Faraday, we have a handful of approaches we use to minimize these effects at each level of our machine learning pipeline.
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