Lebesgue helps e-commerce stores make marketing decisions and boost ROI by analyzing all core metrics and providing actionable insights.
Claim this tool to publish updates, news and respond to users.
Sign in to claim ownership
Sign InLebesgue is an AI-powered marketing analytics platform designed specifically for e-commerce businesses. Its core value proposition is to automate the analysis of complex marketing data across multiple channels, transforming raw numbers into clear, actionable insights that directly drive profit growth and return on investment. By consolidating data from advertising platforms, web analytics, and sales systems, it provides a unified view of marketing performance, eliminating the need for manual spreadsheet work and guesswork.
Key features: The platform continuously monitors all core marketing metrics, such as customer acquisition cost, lifetime value, and advertising return on ad spend. It provides automated alerts for significant changes, like a sudden drop in Facebook ad performance or an opportunity to scale a profitable campaign. Lebesgue offers specific recommendations, such as adjusting bids, reallocating budgets, or pausing underperforming ads. It also includes competitor tracking to benchmark your performance against industry averages and detailed customer behavior analysis to understand purchasing patterns.
What sets Lebesgue apart is its deep integration of data science and behavioral economics principles, including auction system mechanics like VCG, to model and predict market dynamics. Unlike generic dashboards, it uses machine learning to provide causal insights, explaining not just what changed but why, and what the likely commercial outcome of a specific action will be. It integrates natively with major platforms like Shopify, Facebook Ads, and Google Ads, pulling data automatically to build a comprehensive customer journey visualization and predictive analytics model.
Ideal for e-commerce store owners, growth marketers, and agencies managing multiple Shopify or similar storefronts. It is particularly valuable for businesses looking to scale their advertising efficiently, reduce customer churn, and systematically improve profitability. Use cases include optimizing daily ad spend across channels, identifying the most valuable customer segments for retention campaigns, and gaining a data-driven edge in competitive retail niches like fashion, electronics, or direct-to-consumer brands.
The service operates on a freemium model with a free plan offering basic insights. Paid plans start from $59 per month, providing advanced analytics, competitor tracking, and unlimited data history, scaling with the number of tracked ad accounts and the depth of predictive features required.