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SPECIFICTION
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Braavo Analytics vs CLVTools

Braavo Analytics

getbraavo.com

CLVTools

github.com

Side by side

FigureBraavo AnalyticsCLVTools
Price from$70/moFree
Free plan—Yes
Free trial——
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
Plans published21
Spec score · Customer Lifetime Value Software7.8 (#13)8.4 (#3)
PurposeBraavo Analytics provides financial and monetization analytics for app founders and their teams.CLVTools is an R package for probabilistic customer attrition modeling in non-contractual settings.
SupportBraavo's Help Center says users can contact [email protected] for additional help.The project invites bug reports through GitHub Issues and contributions through pull requests.

Plans

Braavo Analytics

  • WITH FUNDING$70 a month
  • STANDARD$105 a month

Braavo Analytics pricing →

CLVTools

  • CLVTools R packageFree

CLVTools pricing →

In their own words

Braavo Analytics

Braavo Analytics has no write-up on Specifiction yet; its figures are above.

Visit getbraavo.com

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.

Visit github.com