Cohora vs WorthSignal
Cohora
cohora.comWorthSignal
github.comSide by side
| Figure | Cohora | WorthSignal |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Customer Lifetime Value Software | 7.9 (#11) | 7.9 (#12) |
| Integrations | The FAQ says Cohora integrates directly with Shopify, Klaviyo, ESPs, CDPs, and other marketing-stack tools. | The README documents file-based input and Excel or JSON downloads, and says the app can be deployed on Streamlit Community Cloud from a GitHub repository. |
| Support | The FAQ says most brands are live within a few weeks and that Cohora’s team helps with integrations, segmentation, and campaign design. | Security reports are reviewed on a best-effort basis and the volunteer project does not promise a formal response-time SLA. |
Plans
In their own words
WorthSignal
WorthSignal is a free, open-source toolkit that turns spreadsheet and data files into customer value analyses for marketers. It reads XLSX, XLS, XLSM, CSV and JSON files, suggests column mappings and lets users correct them without changing the uploaded file. Its analyses cover nine areas, including RFM targeting, customer lifetime value, customer equity, acquisition and retention budgets, Markov switching ROI, contractual retention, BG/NBD, BG/BB and complaint recovery. Results can be downloaded as Excel or JSON. In local mode, analysis runs in memory on the user's computer; WorthSignal says uploaded customer data is not intentionally sent to its maintainer or a third-party API. Hosted deployments process files on the chosen server, and that operator is responsible for access controls, logs, retention and privacy obligations. The app requires Python 3.10 or newer and can be launched on Windows or Mac, through terminal instructions for any operating system, or with Docker. Its documented methods are described as classic, deliberately simple models. The project uses the AGPL-3.0-or-later license, with commercial use subject to its conditions.