Enterprise Customer Life-Cycle Value Model and Applied Research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Customer relationship management (CRM) more and more the concern of all enterprises, enterprises have become the new era of killer competition winning. Customer lifetime value (CLV) is a customer relationship management (CRM) in a core concept, is an important part of CRM research. In this paper, research scholars combined with the development of domestic enterprises and analyzed the theory of customer relationship management, customer life cycle theory and customer value theory. Then, the existing quantitative calculation of the value of customer life cycle approach to refine and improve, from the customer profitability parameters, dynamic customer retention and customer life cycle to study three aspects of time, and after the proposed expansion of the customer life cycle value model. Finally, the value of customer life cycle model applied analysis, in order to better guide our enterprise customer relationship management practices.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it