# Customer churn and segmentation

{
  "id": "T12384",
  "title": "Customer churn and segmentation",
  "url": "/topics/T12384",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "5e82a557a77cec3b",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "38285012273227376",
  "address_version": "morton4x16-v1",
  "coordinates": [
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    12384
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

This cluster of papers focuses on customer equity management and prediction, utilizing data mining, machine learning, and segmentation techniques to understand customer churn, lifetime value, and profitability. It explores the impact of marketing strategies on customer retention and financial performance in various industries, particularly in telecommunications.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T12384

No owner-reviewed local answer yet.