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on 26-Jul-2022 (Tue)

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Annotation 7100417051916

#recurrent-neural-networks #rnn
Anticipating future customer behavior and making individual-level predictions for a firm’s customer base is crucial to any organization that wants to manage its customer portfolio proactively. More precisely, firms following a customer-centric business approach need to know how their clientele will behave on different future time scales and levels of behavioral complexity (Gupta & Lehmann, 2005; Fader, 2020): What are they going to do in the immediate future and when do they make their next transaction with the focal company, if any? Are some of them at risk of stopping doing business with the firm? How exactly do seasonality and other time-based events influence the propensity of customers to buy?
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Flashcard 7107851717900

Question

Disadvantags of survey-based CX measurement

2. Reactive: Surveys are a [...]-looking tool in a world where customers expect their concerns to be resolved increasingly quickly.

Answer
backward

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Disadvantags of survey-based CX measurement 2. Reactive: Surveys are a backward-looking tool in a world where customers expect their concerns to be resolved increasingly quickly.

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Flashcard 7107854601484

Tags
#causality #statistics
Question
To get this guaranteed dependence between [...] nodes, we will generally assume a slightly stronger assumption than the local Markov assumption: minimality
Answer
adjacent

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To get this guaranteed dependence between adjacent nodes, we will generally assume a slightly stronger assumption than the local Markov assumption: minimality

Original toplevel document (pdf)

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