Reaktion vs WorthSignal

Reaktion is ecommerce analytics software for tracking customer revenue, gross profit, and orders, then comparing customer lifetime value with acquisition cost. Cohort analysis groups customers by their first-order month and follows selectable metrics over time, with accumulation and a heatmap. You can break down LTV by channel, discount behavior, first product, sales location, market, or brand. Reaktion says it provides up to two years of customer order history from the first sync and uses hashed email and phone numbers to combine guest, web, app, and point-of-sale orders into customer profiles. Segments can be sent to Google Ads, Meta Ads, and TikTok for value-based bidding. Its integrations page lists 32 integrations, including Shopify, WooCommerce, Klaviyo, GA4, Google Sheets, and Slack. ShipBob and ShipStation are marked as coming soon; Bing, PriceRunner, and Kelkoo imports use Google Sheets. Rise costs $169 a month, billed $169 /mo, and includes 1,000 orders and one store. Custom pricing is listed for more than 50,000 orders or 20 stores. Android and iOS apps show a near real-time view of sales, orders, marketing performance, and tracking health.

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.