Deep Learning Models on Customer Behavioral Data

Deep Learning Models on Customer Behavioral Data

Deep Learning Models on Customer Behavioral Data

Deep Learning Models on Customer Behavioral Data

TAG: METHOD

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When to Use It: 

You want to surface latent segments of customer behavioral profiles — based on their history of transactions and interactions, to prepare intelligent and data-powered marketing campaigns.

What It Tells You: 

  • How different latent types of customers interact with your brand, e.g. via different shopping channels (online, store, mobile) or different interaction channels (email, SMS, web, etc.)
  • Behavioral scores for each customer


Common Data Sets: 

Transactional and/or CRM data

Statistical Methods: 

Advanced statistical / machine learning methods:

  • Recurrent neural networks
  • Hidden Markov models

 

ABOUT

We are marketers and technologists that build robust models to guide managers in their decisions. We believe in sound design, interpretability, and going out and getting the data if you don’t already have it.

ABOUT

We are marketers and technologists that build robust models to guide managers in their decisions. We believe in sound design, interpretability, and going out and getting the data if you don’t already have it.

ABOUT

We are marketers and technologists that build robust models to guide managers in their decisions. We believe in sound design, interpretability, and going out and getting the data if you don’t already have it.

ABOUT

We are marketers and technologists that build robust models to guide managers in their decisions. We believe in sound design, interpretability, and going out and getting the data if you don’t already have it.

ABOUT

We are marketers and technologists that build robust models to guide managers in their decisions. We believe in sound design, interpretability, and going out and getting the data if you don’t already have it.

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COPYRIGHT GRADIENT METRICS 2018

COPYRIGHT GRADIENT METRICS 2018