Questions tagged [customer-lifetime-value]
Customer Lifetime Value (LTV) is the projected, discounted revenue that a customer will generate during their lifetime. LTV is a key business metric for many types of businesses.
0
votes
0answers
7 views
how to finding the key Products and Preferred Vectors by Product Group?
I have user behavior data. It has data such as number of searches by search list, number of products purchased, and product purchase, such as gender, region and age of individual users.
My concern is ...
1
vote
0answers
58 views
Pareto/NBD and New/Existing Customers
I am looking at implementing a Pareto/NBD model to forecast customer lifetime value in a non-contractual business setting. One thing I haven't got my head around yet is whether such a model is equally ...
0
votes
0answers
28 views
Right techniques to cluster/segment categorical data?
I am new to this forum and to data science. I might be naive in asking my question.
I am working on customer transactions data. I have got data of ~143k customers; for each customer I have monetary ...
0
votes
0answers
32 views
Calculate LTV values between various groups
I have just picked up some basics when it comes to this. I'm currently trying to figure out how to calculate LTV (life time values) for my E-COM customers over time to see confidence level to see if A ...
0
votes
0answers
28 views
Is there a reference for models used to solve specific business needs?
I've gone through the math and algorithms of various learning techniques such as regression, random forests, svm, etc. The next step is to learn models specific to industries, such as modeling churn ...
0
votes
0answers
104 views
Buy till you die (BTYD) modeling with negative “sales”
Trying to figure out if it possible to predict customer value over X months using Buy till you die modeling, or any other approach, where sales can be negative?
Only example I could think of where ...
2
votes
0answers
75 views
Estimating variance of MLE estimate of Beta-Geometric/NBD without MCMC
I'm using Fader's BG/NBD model for customer LTV calculations. The log likelihood is the following:
$$
\sum_{i=1}^{N} \ln L(r, \alpha, a, b|X_i=x_i, t_{x_i}, T_i) = \frac{B(a, b + x)}{B(a, b)}\frac{\...
0
votes
0answers
101 views
How to fit newer cohorts using Pareto/NBD or Beta/Geo for CLTV
I am trying to fit the popular Pareto/NBD or Beta/Geometric models for non-contractual, continuous customer data. On top of that I then fit the Gamma/Gamma model for monetary value (using the very ...
