Pushwoosh vs WorthSignal

Pushwoosh is a customer messaging and engagement platform for mobile and web audiences. It supports mobile push and in-app messages, web push, email, SMS, WhatsApp, Kakao Talk, and Telegram, with tools for segmentation, personalization, analytics, A/B testing, Journey Builder workflows, and autonomous AI optimization. All plans include full API access through a unified API for its channels, and listed integrations include Adjust, Amplitude, Appsflyer, Mixpanel, Segment, and Shopify. The free plan covers projects with up to 1,000 monthly active users and includes unlimited push notifications, unlimited in-app impressions, and 20,000 email sends monthly; extra email sends cost $1.50 per 1,000. Listed paid plans are Email only at $5.00 per month, Push only at $7.00 per month, and Omnichannel at $13.00 per month. Plans bill by monthly active users or monthly unique email recipients. Pushwoosh says setup through SDK integration, user import, and initial subscriber collection takes 2 to 10 days. It states a 99.9% uptime commitment and lists GDPR and ePrivacy compliance, ISO 27001:2022 certification, SOC 2 Type 2 auditing, and HIPAA compliance.

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.