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CLVTools

Free#11 of 36 in Customer Lifetime Value Software

CLVTools: A configurable open-source toolkit for probabilistic CLV modeling in R. Ranked #11 of 36 in Customer Lifetime Value Software by our editors (8.4/10); pricing: Open source; best for statistical CLV modelers.

8.4/10Editor score
CLVTools8.4 Visit CLVTools

At a glance

  • Editor score
    8.4 / 10
  • Pricing
    Open source
  • Best for
    Statistical CLV modelers
  • Paid from
    Free
  • Predictive CLV
    Yes
  • Facts checked
    20 Sep 2026
CLVTools screenshot
  • Where it wins

    • Supports Pareto/NBD, BG/NBD, and Gamma-Gompertz/NBD models
    • Forecasts transactions, customer-alive probability, spending, and CLV
    • Includes covariates, diagnostics, holdout evaluation, and configurable horizons
  • Where it doesn't

    • Designed for non-contractual businesses rather than every business model
    • Requires analysts to work in the R ecosystem
    • Offers limited integrations beyond its package-based workflow

Our verdict on CLVTools

CLVTools is an open-source R package for analysts and researchers estimating customer lifetime value from transactional histories in non-contractual businesses. Its modeling scope covers customer attrition, spending, future transactions, customer-alive probability, and individual CLV prediction. The package also supports cohort analysis, customer segmentation, and configurable forecast horizons, making it suited to users who want model-based analysis rather than a dashboard-led CLV application.

The main strength is statistical model depth. CLVTools includes Pareto/NBD, BG/NBD, and Gamma-Gompertz/NBD attrition models, along with a Gamma/Gamma spending model. Analysts can add time-invariant and time-varying covariates, apply regularization and equality constraints, and model purchase-attrition correlation. Configurable prediction periods can use durations or end dates, while holdout evaluation and diagnostic plots support model assessment. These capabilities make the package a good fit for teams that need to inspect and adapt their CLV methodology.

Its trade-off is focus. CLVTools is distributed as an R package through CRAN and GitHub, so it fits R-based analytical workflows rather than a broad integrations ecosystem. It is most appropriate for technically comfortable users working with transactional purchase data and probabilistic models. Organizations seeking a packaged operational tool, wider platform connectivity, or a workflow centered on contractual businesses should consider an alternative. For statistical CLV modelers who value open-source access, configurable horizons, and model diagnostics, CLVTools offers a focused foundation.

Your product? Our editors can test CLVTools in depth and publish a review, labelled as paid · from $149/mo →

CLVTools pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on github.com

CLVTools fact sheet

Free planNot verified
Paid fromFree
Predictive CLVYes
Profitability metricsNot verified
Cohort analysisYes
Customer segmentationYes
Forecast horizonConfigurable
Data refreshNot stated
DeploymentSelf-hosted
PlatformsWindows, macOS, Linux
SupportCommunity, Docs
Built forSolo, Small business (editorial estimate)
PricingOpen source
Websitegithub.com
Facts checked20 Sep 2026

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Featured on iTechGuides

Featured on iTechGuides — CLVTools 8.4/10

CLVTools is listed in our Customer Lifetime Value Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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