TrueProfit vs WorthSignal

TrueProfit is a profit analytics platform for Shopify and TikTok Shop sellers. It evaluates marketing channels, products, and customers using net profit, with a real-time dashboard for profit, margins, advertising spend, and other metrics. Users can customize profit-and-loss reports for any date range and configure cost tracking by SKU, quantity, and region, along with dynamic shipping rules and fixed or variable operating costs. Listed connections include Shopify, TikTok Shop, advertising platforms, fulfillment services, and shipping providers. Its MCP connection can make TrueProfit data available to compatible assistants such as Claude and ChatGPT for analysis. The mobile app is available on iOS and Android, and a Chrome extension generates advertising URL parameters for several platforms. TrueProfit has no free plan; its 14-day trial is followed by paid plans from $35/mo. Billing recurs every 30 days through Shopify, and each Shopify store needs a separate subscription even when multiple stores are viewed together.

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.