redhat-et / customer-growth-model

The repo enables accurate customer revenue forecasting using ARIMA and other time series methods. It provides practical examples, data preprocessing, evaluation, and optimization. It also identifies potential customers through market analysis and predictive modeling. Empowering businesses for data-driven growth.
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Create a blog post on Growth Model #4

Open suppathak opened 1 year ago

suppathak commented 1 year ago

Create a blog post that explores the intersection of predictive analytics, AI, and ML technologies in fostering customer growth. This post aims to showcase the potential of leveraging these advanced techniques for gaining insights, making data-driven decisions, and enhancing customer acquisition and retention strategies. The blog post aims to provide practical insights and guidance to businesses seeking to utilize AI/ML predictive analytics for sustainable customer growth.

hemajv commented 1 year ago

Rough draft: https://docs.google.com/document/d/1FU3IZy-TUNiDIiV_DoxjmkoSTlPsdvtOs-D4EgmrlJE/edit