CLVTools vs Retina AI
CLVTools
github.comRetina AI
retina.aiSide by side
| Figure | CLVTools | Retina AI |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Customer Lifetime Value Software | 8.4 (#3) | 6.9 (#37) |
| Purpose | CLVTools is an R package for probabilistic customer attrition modeling in non-contractual settings. | Retina AI predicts customer lifetime value to help businesses make more profitable decisions. |
| Support | The project invites bug reports through GitHub Issues and contributions through pull requests. | The company lists [email protected] for questions about its privacy policy and practices. |
Plans
In their own words
CLVTools
CLVTools is a free, GPL-3-licensed R package for probabilistic customer attrition modeling when purchases are not governed by contracts. It implements Pareto/NBD, BG/NBD, Gamma/Gompertz/NBD, and Gamma/Gamma models. Using transaction histories with customer IDs and purchase dates, plus prices in its example data, it predicts individual customer behavior such as expected future transactions and the probability that a customer remains active. Forecast horizons can be configured, supporting predictive customer lifetime value work, cohort analysis, and customer segmentation. Time-invariant covariates work across the models, while some models accept time-varying covariates. Extensions include correlated purchase and attrition processes, L2 regularization, and equality constraints for contextual-factor parameters. Stable installation is available from CRAN; a development version uses GitHub and devtools. Linux, macOS, and Windows are supported, though compiling from source requires the external GNU GSL C++ library. Documentation includes a walkthrough, reference manual, and vignettes.