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© 2017 – Creditas Soluções Financeira Ltda. 1© 2017 – Creditas Consultoria Financeira Ltda.
Allan Dieguez
Data Scientist @...
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Improving customer value estimation by predicting conversion — Allan Dieguez (Creditas) @PAPIs Connect — São Paulo 2017

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The objective of this presentation is to describe the challenges of modeling a customer conversion predictor using real leads data observed on different levels of the conversion funnel. This predictor is useful for segmenting customers by estimated effort of conversion, which allows intelligence-based decision making for many areas of the company, such as marketing, customer success and credit analysis. The discussion will include the solution sketching process, as well as the data extraction, feature engineering and model evaluation. It’ll also be covered some challenges of using such models as a support system for the operations analysts, as well as collecting their feedback to improve the solution.

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Improving customer value estimation by predicting conversion — Allan Dieguez (Creditas) @PAPIs Connect — São Paulo 2017

  1. 1. © 2017 – Creditas Soluções Financeira Ltda. 1© 2017 – Creditas Consultoria Financeira Ltda. Allan Dieguez Data Scientist @ Creditas
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