lifetimes

At a glance

• Editor score
  8.2 / 10
• Pricing
  Open source
• Best for
  Lightweight CLV modeling
• Paid from
  Free
• Predictive CLV
  Yes
• Facts checked
  20 Sep 2026

• Where it wins

  • Supports BG/NBD, Gamma-Gamma, RFM, and probability-alive analysis
  • Predicts expected future purchases from transactional data
  • Includes calibration, holdout, and purchase-behavior visualization tools

• Where it doesn't

  • The repository is archived
  • It will not receive new features or issue responses
  • It is a Python library rather than a hosted application

Our verdict on lifetimes

lifetimes is an open-source Python library for data scientists, analysts, and developers who need to analyze repeat-purchase behavior and estimate customer lifetime value from transactional data. It supports customer lifetime value calculation, frequency, recency, and customer-age summaries, along with predictive purchase modeling. The product is designed for teams building CLV analysis in Python rather than selecting a hosted application.

Its main strength is the concentration of established customer-purchase analysis tools in one library. BG/NBD and related models support purchase prediction, while Gamma-Gamma modeling addresses monetary value. Users can calculate customer probability-alive, estimate expected future purchases, generate RFM summaries, and create calibration and holdout datasets. Purchase-behavior visualization adds a way to inspect model inputs and outputs. The published category specifications identify predictive CLV, profitability metrics, and a configurable forecast horizon, making lifetimes a fit for focused modeling workflows built around transaction history.

The key qualification is project status. The official repository identifies lifetimes as archived, says it will not receive new features or issue responses, and points to PyMC-Marketing as a successor project. That makes lifetimes most suitable for lightweight, Python-based CLV work where its existing model set matches the requirement and the team can manage a library-centered workflow. Organizations seeking an actively maintained project, a hosted product, or broader platform coverage should consider the successor direction instead.

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

lifetimes pricing

lifetimes fact sheet

Alternatives to lifetimes

• 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 lifetimes alternatives →

Featured on iTechGuides

lifetimes 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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Last updated 7 Oct 2026 · How we research and update