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WorthSignal

Norway

What it is

WorthSignal is a free, open-source customer analytics toolkit that turns Excel, CSV, or JSON data into segmentation, lifetime value, retention, and marketing ROI analyses. Its nine analysis areas include RFM targeting, customer equity, acquisition and retention budgets, Markov switching ROI, contractual retention, BG/NBD, BG/BB, and complaint recovery. The app reads XLSX, XLS, XLSM, CSV, and JSON files, suggests column mappings, and lets users adjust each mapping without changing the uploaded file. Results can be exported as Excel or JSON. In local mode, analysis runs in memory on the user's computer; the project says it does not intentionally send uploaded customer data to its maintainer or a third-party API. Hosted files are processed by the selected server, whose operator is responsible for access, logs, retention, and privacy obligations. WorthSignal requires Python 3.10 or newer and offers launch guidance for Windows and Mac, terminal use across operating systems, and Docker deployment. Its documented methods are described as classic and deliberately simple models. The project uses the AGPL-3.0-or-later license, with commercial use subject to its conditions.

For and against

For

  • Reads Excel, CSV, and JSON data files.
  • Offers nine customer analysis areas.
  • Exports results as Excel or JSON.
  • Local mode processes analyses in memory.

Against

  • Requires Python 3.10 or newer to run.
  • Hosted deployment operators manage privacy and access controls.
  • Security reports have no formal response-time SLA.
  • Older release branches are not maintained.

The verdict

WorthSignal provides a free, local-first route to customer value and segmentation analysis from spreadsheet-style files. Users should account for the Python requirement and the deployment operator's responsibilities when hosting it.

Who it suits

WorthSignal is aimed at working marketers and spreadsheet users who want customer analysis without a notebook or statistics software. It may suit users comfortable running a Python-based or hosted deployment.

Plans and prices

WorthSignal

Free

Open-source AGPL-3.0-or-later; local-first customer analytics toolkit

Every plan, in full

On the record

Analysis areas
It covers nine areas, including RFM targeting, CLV, customer equity, acquisition and retention budgets, Markov switching ROI, contractual retention, BG/NBD, BG/BB and complaint recovery.github.com · read 7 Oct 2026
Data handling
The app reads XLSX, XLS, XLSM, CSV and JSON files, suggests column mappings and leaves the uploaded file unchanged.github.com · read 7 Oct 2026
Data mapping
WorthSignal suggests input columns and lets users correct every mapping without modifying the uploaded file.github.com · read 7 Oct 2026
Deployment limits
The project maintains security fixes on the latest main branch and does not currently maintain older release branches.github.com · read 7 Oct 2026
Exports
Analysis results can be downloaded as Excel or JSON.github.com · read 7 Oct 2026
File formats
The app reads .xlsx, .xls, .xlsm, .csv, and .json files and exports results as Excel or JSON.github.com · read 7 Oct 2026
Hosted deployment
For hosted deployments, uploaded files are processed by the chosen server and the deployment operator is responsible for access controls, logs, retention and privacy obligations.github.com · read 7 Oct 2026
Integrations
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.github.com · read 7 Oct 2026
Intended users
The maker describes WorthSignal as a tool for marketers to examine customer value, retention, and marketing ROI.ulrikerlingsen.com · read 7 Oct 2026
License
The repository states that WorthSignal is licensed under AGPL-3.0-or-later and that commercial use is allowed subject to the license conditions.github.com · read 7 Oct 2026
Local privacy
In local mode, analyses run in memory on the user’s computer, and the app says it does not intentionally send uploaded customer data to the maintainer or a third-party API.github.com · read 7 Oct 2026
Maker
The maker’s site identifies Ulrik Erlingsen as the person who independently designs and builds the Signal products.ulrikerlingsen.com · read 7 Oct 2026
Methods
The project says its methods are documented and cited, and describes them as classic, deliberately simple models rather than advanced statistical approaches.github.com · read 7 Oct 2026
No telemetry
The app does not include user accounts, advertising, product analytics, telemetry, or a customer-data database.github.com · read 7 Oct 2026
Purpose
WorthSignal turns Excel, CSV or JSON customer data into customer segmentation, lifetime value, retention and marketing ROI analyses.github.com · read 7 Oct 2026
Requirements
Running the app requires Python 3.10 or newer.github.com · read 7 Oct 2026
Security support
Security fixes are made on the latest main branch, and vulnerability reports are reviewed on a best-effort basis without a formal response-time SLA.github.com · read 7 Oct 2026
Support
Security reports are reviewed on a best-effort basis and the volunteer project does not promise a formal response-time SLA.github.com · read 7 Oct 2026

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