What is Lebesgue?
Lebesgue is an eCommerce analytics tool that gives online brands a unified view of marketing performance, customer value, and ad spend efficiency. It combines first-party attribution, customer lifetime value analysis, competitor tracking, and AI-driven insights in a single platform. Brands use it to understand which channels drive profitable growth and where to direct their marketing budget.
Features & Benefits
- First-party attribution (Le Pixel) – Track the true revenue impact of ads across Meta, Google, TikTok, Pinterest, Microsoft, and email using a first-party pixel with AI cross-device visitor matching, multiple attribution models (first touch, last touch, linear, position-based, time decay, Shapley), and unlimited data retention.
- Customer lifetime value (LTV) analysis – Measure current and predicted LTV by cohort, product, geolocation, and discount. Includes churn and retention rates, predicted revenue, and payback period analysis segmented by first-time vs. repeat customers.
- Competitor tracking – Monitor competitor Facebook and Google ads, email strategies, trending keywords, brand awareness growth, and ad publishing frequency across Meta, Instagram, and TikTok.
- AI agents – Automated agents surface insights, detect anomalies, forecast ad spend, audit accounts daily, track inventory, monitor competitor ads in real time, and flag next-step opportunities without manual dashboard review.
- Marketing Mix Modeling (MMM) – Model budget allocation across channels using GAM-based predictive spending models to identify the channel mix that maximizes growth and profitability.
- Product intelligence – Identify high-potential products by sales contribution, margin, and performance trends to prioritize inventory and ad spend.
- Creative strategy – Analyze ad creative performance and generate AI-powered copy variations including customized ad copy, new custom copy, and product copy.
- All-in-one dashboard – View orders, revenue, COGS, profit, ad costs, and channel performance in a single interface with weekly and daily automated reports and data export.
- Stock inventory tracking – Monitor inventory levels to avoid stockouts and align ad spend with product availability.
- Market benchmarks – Compare ad performance against data from 20,000+ eCommerce brands across funnel metrics, CPM forecasts, CTR, and conversion rates by industry.
Real-World Applications
Shopify merchants running paid social and search campaigns may use Lebesgue as their primary eCommerce analytics tool to replace fragmented reporting across multiple platforms. Instead of pulling data from Meta Ads Manager, Google Ads, and Shopify separately, everything consolidates into one view. Teams can identify which campaigns generate the highest-LTV customers rather than just the most conversions, which changes how they allocate ad budgets.
Brands investing heavily in Facebook and Instagram advertising can use the competitor ad tracking feature to monitor what rivals are running, how frequently they post, and which keywords they target. This kind of paid social intelligence helps media buyers adapt creative and bidding strategy based on actual market activity rather than guesswork.
DTC brands with large product catalogs can use product intelligence and stock inventory tracking together to avoid spending ad budget on low-margin or out-of-stock items. When paired with LTV cohort analysis, marketers can identify which products attract repeat buyers and shift acquisition spend accordingly.
Growth teams evaluating marketing mix modeling for the first time may find Lebesgue’s MMM feature a practical entry point. Rather than commissioning custom attribution studies, they can use the platform’s GAM-based models to test budget reallocation across channels and measure incremental revenue impact. Combined with Le Pixel’s server-side tracking and Facebook CAPI integration, the data feeding those models stays accurate even as third-party cookie tracking degrades.
