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SPECIFICTION
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CLVTools vs Dema

CLVTools

github.com

Dema

dema.ai

Side by side

FigureCLVToolsDema
Price fromFree€450/mo
Free planYes—
Free trial——
Open source——
Web—Yes
WindowsYes—
macOSYes—
LinuxYes—
API—Yes
Plans published13
Spec score · Customer Lifetime Value Software8.4 (#3)7.8 (#14)
PurposeCLVTools is an R package for probabilistic customer attrition modeling in non-contractual settings.Dema connects commerce data and supports decisions across marketing, replenishment, and merchandising.
SupportThe project invites bug reports through GitHub Issues and contributions through pull requests.Every plan includes a dedicated onboarding manager and priority support.

Plans

CLVTools

  • CLVTools R packageFree

CLVTools pricing →

Dema

  • Omnichannel analytics add-on€450 a month
  • Unified measurement add-on€1,350 a month
  • Foundation€2,250 a month

Dema pricing →

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.

Visit github.com

Dema

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

Visit dema.ai