Pleasepoint DM vs WorthSignal
Pleasepoint DM
pleasepoint.comWorthSignal
github.comSide by side
| Figure | Pleasepoint DM | WorthSignal |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 0 | 1 |
| Spec score · Customer Lifetime Value Software | 7.1 (#32) | 7.9 (#12) |
| Headquarters | Barcelona, Spain | Norway |
| Integrations | Listed integrations include PrestaShop, Shopify, VTEX, Magento, WooCommerce, Salesforce, HubSpot, Brevo, Mailchimp, Klaviyo, Sendy, ActiveCampaign, Microsoft Dynamics 365 and Zoho. | 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. |
| Intended users | The platform is presented for companies using CRM, ecommerce and customer communication systems that want to predict behavior and personalize customer interactions. | The maker describes WorthSignal as a tool for marketers to examine customer value, retention, and marketing ROI. |
| Purpose | Pleasepoint DM predicts customer lifetime value, churn risk, purchase timing, next purchases and pricing to support customer decisions. | WorthSignal turns Excel, CSV or JSON customer data into customer segmentation, lifetime value, retention and marketing ROI analyses. |
Plans
In their own words
Pleasepoint DM
Pleasepoint DM has no write-up on Specifiction yet; its figures are above.
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.