A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
-
Updated
Jul 19, 2023 - Python
#
cltv
Here are 22 public repositories matching this topic...
ILP ledger plugin for simple unidirectional Bitcoin payment channels
-
Updated
Feb 20, 2018 - JavaScript
The data set named Online Retail II includes online sales transactions of a UK-based retail company between 01/12/2009 - 09/12/2011.
-
Updated
Jul 4, 2022 - Python
FLO wants to determine roadmap for sales and marketing activities. In order for the company to make a medium long -term plan, it is necessary to estimate the potential value that existing customers will provide to the company in the future.
python numpy scikit-learn pandas datascience segmentation customer clv cltv flo customer-segmentation bg-nbd gamma-gamma mtahiraslan
-
Updated
Mar 7, 2023 - Python
FLO would like to set a roadmap for sales and marketing activities. In order for the company to make a medium-long-term plan, it is necessary to estimate the potential value that existing customers will provide to the company in the future.
-
Updated
Jul 4, 2022 - Python
Project for customer management in the Marketing Analytics Department of a large retail bank. The aim of this project is to know which marketing activity effectively retains customers. We have information about individual customer profitability (CLV) and a survey was conducted as well. A research model explaining/predicting individual customer p…
linear-regression spss banking regression-models clv spss-statistics cltv multilinear-regression marketing-analytics multiple-linear-regression customermanagement
-
Updated
Jan 29, 2021
The goal is to predict the number of purchases from each customer in the next 30 days by using the customer lifetime model.
-
Updated
Dec 11, 2020 - Jupyter Notebook
In this section, I will perform RFM analysis and CLTV prediction on the dataset belonging to the FLO store.
-
Updated
Nov 11, 2022 - Jupyter Notebook
CLTV_customer-lifetime-value-analysis
-
Updated
Nov 4, 2023 - Python
In this section, I will perform RFM analysis and CLTV prediction on the online_retail_ii dataset.
-
Updated
Nov 11, 2022 - Jupyter Notebook
FLO wants to determine a roadmap for its sales and marketing activities.
-
Updated
Sep 18, 2022 - Jupyter Notebook
-
Updated
Jun 16, 2020 - Jupyter Notebook
This project involves performing customer segmentation and RFM (Recency, Frequency, Monetary) analysis on customer data from a retail company. The primary goal is to categorize customers into segments based on their buying behavior and identify potential target groups for marketing campaigns.
segmentation churn-prediction clv cltv rfm rfm-analysis churn-analysis cltv-prediciton recency-frequency-monetary churn-rate
-
Updated
Oct 9, 2023 - Python
CLTV prediction, BGNBD, Gamma Gamma
data-science machine-learning ai deep-learning ml artificial-intelligence dl cltv bg-nbd gamma-gamma cltv-prediciton
-
Updated
Nov 6, 2023 - Python
A retail company wants to create a roadmap for its sales and marketing activities. To plan for the medium to long term, the company needs to predict the potential value that existing customers will bring in the future.
segmentation roi churn-prediction cltv churn-analysis bg-nbd gamma-gamma cltv-prediciton churn-rate return-on-investment
-
Updated
Oct 5, 2023 - Python
data-science clustering data-visualization data-analysis e-commerce segmentation cltv kmeans-algorithm rfm-analysis customer-analytics
-
Updated
May 4, 2022 - Jupyter Notebook
DATA ANALYSIS
python data jupyter jupyter-notebook crm data-visualization data-analysis data-cleaning cltv model-training bg-nbd gamma-gamma
-
Updated
Sep 25, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the cltv topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the cltv topic, visit your repo's landing page and select "manage topics."