Subscription e-commerce brands lack SaaS-style metrics. Stripe and ReCharge show basic revenue but not cohort analysis, LTV predictions, or churn breakdowns by reason. Brands don't know their payback period or which acquisition channels produce the highest-LTV subscribers. Finance teams build monthly reports manually in spreadsheets.
Subscription analytics platform purpose-built for physical product subscriptions that calculates MRR, churn rate, LTV, cohort retention curves, and payback period — giving subscription brands the same analytics SaaS companies use to optimize growth.
E-commerce brands with subscription products wanting to understand churn and retention, DTC companies running replenishment or curation subscriptions, and CMOs who need subscription KPIs for board reporting
Physical product subscriptions are booming — subscription e-commerce grew 41% in 2024. Brands need data-driven churn reduction. Investors and boards demand SaaS-style reporting from subscription brands. No tool bridges the gap between SaaS analytics and e-commerce subscriptions.
$49/mo (up to 1,000 active subscribers), $99/mo (up to 5,000 + cohort analysis), $199/mo (up to 25,000 + LTV prediction + reports), $399/mo (unlimited + API + custom dashboards). Annual: 20% discount.
SaaS subscription analytics. $100+/mo, designed for software subscriptions not physical products
Free but manual, 10+ hours/month for accurate reporting, formula errors create wrong decisions
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