Lapio
Lapio is continuous offer testing software for Shopify e-commerce stores running paid acquisition on Meta and Google. The platform runs champion-challenger tests that automatically promote winners, calculating true net profit per order after subtracting product costs, fulfillment, fees, and returns. Using Bayesian statistics with user-set confidence thresholds, Lapio reports the probability that a challenger beats the live champion and maintains an always-on, auto-scheduled test queue.
- Advertising Technology
- Retail Technology
- Marketing Technology
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Shopify stores running paid acquisition on Meta and Google often rely on ROAS dashboards that attribute revenue by last click and ignore costs entirely. This makes it difficult to know which offers actually grow profit rather than just top-line revenue, leading to manual reading, decisions based on incomplete data, and suboptimal offer strategies.
Solution
Lapio is continuous offer testing software for Shopify e-commerce built to maximize net profit per order. It runs champion-challenger tests where winners are promoted automatically and every new challenger must beat the best performing offer yet. The platform subtracts all costs—product cost, fulfillment, fees, and returns—from every order before determining a verdict, reporting net profit per order rather than revenue. Using Bayesian statistics, Lapio reports the probability that a challenger beats the live champion, with confidence levels set upfront and resolution tracked live. The system maintains an always-on test queue, auto-scheduling consecutive tests without manual intervention.
Target Audience
Primary customers are Shopify stores running paid acquisition on Meta and Google that want to know which offers actually grow profit, not just revenue or ROAS.
Features
- Champion-challenger testing loop that automatically promotes winning offers and queues the next challenger
- Bayesian statistical analysis with user-set confidence thresholds (75, 85, 95, 99 percent) and live probability-to-win reporting
- True net profit calculation subtracting product cost, fulfillment, fees, and returns from every order
- Always-on test pipeline with auto-scheduled consecutive tests (e.g., "10% off vs shipping" followed by "Bundle vs single" and "Free gift threshold")
- Profit history dashboard plotting every approve, verdict, and promotion in euros earned
- One-click Shopify integration with one-time COGS parameter configuration and scan of order costs
- Test runner that uses additional campaigns and ad sets with their own discount codes, leaving existing flows untouched