CLVTools
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.
At a glance
- Editor score8.4 / 10
- PricingOpen source
- Best forStatistical CLV modelers
- Paid fromFree
- Predictive CLVYes
- Facts checked20 Sep 2026

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.
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CLVTools pricing
CLVTools fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Predictive CLV | Yes |
| Profitability metrics | Not verified |
| Cohort analysis | Yes |
| Customer segmentation | Yes |
| Forecast horizon | Configurable |
| Data refresh | Not stated |
| Deployment | Self-hosted |
| Platforms | Windows, macOS, Linux |
| Support | Community, Docs |
| Built for | Solo, Small business (editorial estimate) |
| Pricing | Open source |
| Website | github.com |
| Facts checked | 20 Sep 2026 |
Alternatives to CLVTools
- Braavo AnalyticsA focused analytics platform for app subscription revenue, cohorts, LTV, and acquisition ROI.9.4
- RetentionXA broad ecommerce intelligence platform combining LTV, retention, attribution, and profitability.9.3
- ThetaA deep CLV and profitability toolkit for teams making advanced customer-value decisions.9.2
See all CLVTools alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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