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SPECIFICTION
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Insighta vs WorthSignal

Insighta

insighta.io

WorthSignal

github.com

Side by side

FigureInsightaWorthSignal
Price from$2,000/moFree
Free plan—Yes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
Self-hosted—Yes
Plans published31
Spec score · Customer Lifetime Value Software7.6 (#20)7.9 (#12)
HeadquartersKnoxville, Tennessee, United StatesNorway
IntegrationsInsighta connects with Shopify, Magento, custom-built commerce platforms and marketing tools, and offers custom 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.
SupportThe pricing page lists email support and a dedicated Slack channel for all three plans.Security reports are reviewed on a best-effort basis and the volunteer project does not promise a formal response-time SLA.

Plans

Insighta

  • Core Plan$2,000 a month
  • Pro PlanPriced on request
  • Pro+ PlanPriced on request

Insighta pricing →

WorthSignal

  • WorthSignalFree

WorthSignal pricing →

In their own words

Insighta

Insighta has no write-up on Specifiction yet; its figures are above.

Visit insighta.io

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.

Visit github.com