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SPECIFICTION
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Nozzle vs WorthSignal

Nozzle

nozzle.ai

WorthSignal

github.com

Side by side

FigureNozzleWorthSignal
Price from$399/moFree
Free plan—Yes
Free trialYes—
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
Self-hosted—Yes
Plans published41
Spec score · Customer Lifetime Value Software7.8 (#15)7.9 (#12)
HeadquartersNew York, United States; London, United KingdomNorway
PurposeNozzle analyzes Amazon customers’ buying patterns for brands, including repeat order rate, profit per customer, and customer acquisition cost.WorthSignal turns Excel, CSV or JSON customer data into customer segmentation, lifetime value, retention and marketing ROI analyses.
SupportThe site links to a Nozzle Help Center with setup, troubleshooting, use case, how-to, account, and data articles.Security reports are reviewed on a best-effort basis and the volunteer project does not promise a formal response-time SLA.

Plans

Nozzle

  • Growth$399 a month
  • Scale$699 a month
  • Intelligence$1,400 a month
  • Intelligence+Priced on request

Nozzle pricing →

WorthSignal

  • WorthSignalFree

WorthSignal pricing →

In their own words

Nozzle

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

Visit nozzle.ai

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