Lebesgue
Lebesgue connects ad platforms, analytics, and store data into one AI analytics layer, fixing attribution and producing daily, prioritized growth advice for e-commerce teams.
Pricing
Free & Paid
Platforms
Web
Developer
Lebesgue
Rating
4.5 / 5.0
Last Updated
August 14, 2026
Overview
Lebesgue solves the attribution mess that plagues e-commerce: ad platforms each claim credit, and store owners cannot see the real picture.
It unifies data from Meta, Google, analytics, and the store itself, then uses AI to explain what is actually driving revenue and what to do next.
The result is a daily prioritized recommendation feed that helps marketing teams allocate budget with confidence.
Use Cases
Unifying ad and store data to see true campaign performance
Reallocating ad budget toward channels with real return
Monitoring CAC, ROAS, and LTV with automated alerts
Catching underperforming campaigns early with daily AI reviews
Reporting accurate blended performance to stakeholders
Who Is This For
E-commerce marketing managers running paid acquisition
Store owners who distrust single-platform attribution
Performance marketers who want daily actionable insights
DTC brands scaling ad spend across multiple channels
Agencies managing e-commerce client media budgets
Key Features
Unified Attribution
Merge ad, analytics, and store data into one accurate view of what drives revenue.
AI Growth Recommendations
Get daily, prioritized actions based on your actual performance data.
Budget Allocation Advice
See where to shift spend for the best expected return across channels.
KPI Alerts
Monitor CAC, ROAS, and LTV with alerts when metrics move off target.
Channel Integrations
Connect Meta, Google, analytics, and e-commerce platforms in minutes.
Related Guides
Dive deeper with step-by-step guides from our Knowledge Base.
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Pros & Cons
Pros
- Fixes cross-channel attribution with a single unified view
- AI turns raw data into actionable daily recommendations
- Useful for budgeting decisions, not just reporting
- Free plan available to evaluate insights
Cons
- Focused on e-commerce, not general marketing analytics
- Insight quality depends on data completeness
- Advanced features scale with plan tier
Pricing Plans
Free
For small stores validating insights.
- Basic unified dashboard
- Core attribution
- Limited recommendations
- Standard support
Starter
For growing stores optimizing ad spend.
- Full attribution
- Daily AI recommendations
- Budget allocation advice
- KPI alerts
Growth
For teams scaling paid acquisition.
- Everything in Starter
- Advanced insights
- Team seats
- Custom reports
- Priority support
Scale
For brands with complex media mixes.
- Everything in Growth
- Multi-brand support
- API access
- Dedicated manager
- SLA
Frequently Asked Questions
Editorial Review
Editorial Team
July 17, 2026
For the first time we see one number for true ROAS. The daily recommendations caught a wasted Meta campaign within days and our blended CAC has dropped since.
Editorial Team
June 20, 2026
The unified dashboard replaced three spreadsheets. The budget advice is genuinely useful, though you still need your own judgment for big strategic calls.
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