Revenue attributionwithout the tracking hassle
Connect your payment processor for instant AI-powered insights. Our ML models predict customer behavior and forecast growth with 98% accuracy—no tracking codes needed.
Revenue by Channel
ML AnalysisLinkedIn campaigns driving 2.3x higher LTV customers
Increase LinkedIn budget by 40% for optimal ROI
Works With Your Payment Stack
Connect your payment processor for instant AI-powered insights. No tracking codes, no SDK, just pure ML intelligence.
Connect Stripe
One-click OAuth connection. No code, no SDK, just instant access to your payment data.
ML Analysis
Smart sampling analyzes 20% of your data for 98% accuracy. 5x faster than competitors.
Get Predictions
Receive AI predictions for churn, LTV, and revenue. Know what will happen, not just what did.
Financial management shouldn't be this hard
Other solutions and tools...
Manual data entry
Hours of time you can't get back - spent copying your financial data from payment processors to spreadsheets (ouch)
Unfairly expensive
You're not an enterprise, or a Fortune 500 company, so why are you paying as much as one?
Features you don't need
99 features and you only need one... but you'll have to pay for all of them.
Complex tools
The learning curve is steeper than a UFO's flight path. Houston, we have a problem!
Give up hours of your time or buckets of your cash? You shouldn't have to choose.
Revenue intelligence that works from Day 1
What we offer instead...
Privacy-first attribution
No cookies, no tracking pixels, no GDPR headaches. Our ML analyzes payment patterns to reveal revenue sources with 94%+ accuracy
Zero setup, instant insights
Unlike competitors that need 30-60 days of data, connect your payment processor and get attribution insights immediately
Startup-friendly pricing
Starting at $79/month (Pro) or $149/month (Premium) - 10x cheaper than competitors
Actionable, not just analytical
While others show dashboards, we tell you exactly what to do: "Shift 40% budget to LinkedIn - driving 2.3x higher LTV"
The only platform that combines payment processor analytics with ML revenue intelligence
Why QuantLedger wins
Starting Price
QuantLedger
$79/mo
Others
$300-$1,399/mo
Setup Time
QuantLedger
Instant
Others
30-60 days
Tracking Required
QuantLedger
None
Others
Pixels & cookies
GDPR Compliance
QuantLedger
Built-in
Others
Complex setup
Dark Social Attribution
QuantLedger
✓ ML-powered
Others
✗ Blind spot
Actionable Insights
QuantLedger
✓ Specific actions
Others
Just dashboards
| Feature | QuantLedger | Others |
|---|---|---|
| Starting Price | $79/mo | $300-$1,399/mo |
| Setup Time | Instant | 30-60 days |
| Tracking Required | None | Pixels & cookies |
| GDPR Compliance | Built-in | Complex setup |
| Dark Social Attribution | ✓ ML-powered | ✗ Blind spot |
| Actionable Insights | ✓ Specific actions | Just dashboards |
The Stripe Analytics Alternative with ML Intelligence
Better than Baremetrics & ChartMogul • ML-powered payment data analytics • No tracking pixels needed • Works retroactively on all your data
Payment Data Analytics
Step 1Superior Stripe analytics alternative that extracts 40+ behavioral signals. Connect Stripe, PayPal, or Square for instant payment data analysis—no code required.
Analyzing 15,000+ Stripe transactions for hidden revenue patterns...
ML Revenue Attribution
Step 2Advanced ML revenue attribution software using markov chain models. Achieve 95%+ accuracy without tracking pixels—perfect GDPR-compliant analytics solution.
ML Attribution: $45K revenue → 40% Google, 35% LinkedIn, 25% Direct (95% confidence)
Predictive Analytics AI
Step 3Churn prediction AI and customer lifetime value calculator powered by machine learning. Generate actionable retention strategies from payment behavior patterns.
Customer A: $12K CLV, 75% churn risk → AI recommends annual plan for 40% retention boost
Churn Prevention
Identify customers at risk of churning and get specific recommendations on how to retain them, like offering targeted discounts or switching to annual plans.
Marketing Optimization
Discover where customers drop off in your funnel and get actionable advice on how to improve conversion rates and customer journey completion.
Our ML Arsenal Powers Your Growth
Six production-grade ML models working in harmony to deliver predictive insights with industry-leading accuracy. No tracking needed, just pure machine learning intelligence.
XGBoost
Gradient boosting for churn prediction and customer segmentation with extreme performance.
Random Forest
Ensemble learning for customer lifetime value prediction with robust performance.
LSTM Network
Deep learning for revenue forecasting and time-series analysis with memory cells.
Markov Chain
Multi-touch attribution modeling for complex customer journeys and channel analysis.
Logistic Regression
Binary classification for conversion probability and propensity scoring.
Isolation Forest
Anomaly detection for fraud prevention and unusual revenue pattern identification.
Combined Model Accuracy: 98%
Our ensemble approach leverages the strengths of each model, delivering industry-leading accuracy for revenue attribution and prediction.
Privacy-First
No cookies, no tracking pixels. 100% GDPR compliant attribution using only payment data.
Real-Time Processing
Sub-second predictions with optimized model serving infrastructure.
Self-Learning
Models continuously improve with your data, becoming more accurate over time.
Real-time Revenue Intelligence Dashboard
Connect Stripe, PayPal, Square and more. Watch as ML models analyze every transaction to reveal insights you've been missing.
Monthly Recurring Revenue
$124,500
Attribution Accuracy
94%
Churn Prevention
$8,400
Potential revenue saved
Revenue Forecast
$142,000
85% confidence
Revenue by Marketing Channel
ML-attributed revenue sources
Top Channel
Google Ads
Best ROI
Email (4.2x)
Growth Leader
LinkedIn +32%
Customer Lifetime Value
Predicted LTV by segment
Total Predicted LTV
$3.2M
Avg. Confidence
86%
Real-time Processing
Every transaction analyzed instantly
Privacy-First
No cookies or tracking pixels
Works Retroactively
Analyze all historical data
Customer Lifetime Value Calculator • Churn Prediction AI • Revenue Intelligence Platform
Predictive Analytics for SaaS Growth
The payment data analytics tool achieving 95%+ attribution accuracy without tracking pixels - powered by advanced ML revenue attribution software
0%
Attribution Accuracy
Without tracking pixels
40+
ML Features Analyzed
Per transaction
4
ML Models
Working in consensus
ML Intelligence Capabilities
0%
Attribution From Day 1
Without any tracking
< 1min
Time to Insights
Real-time ML processing
0%
Historical Data
Works retroactively
The ML attribution insights are incredible - we discovered 40% of our revenue was coming from channels we didn't even know were working. No tracking pixels needed!
— Sarah Chen, Founder @ TechFlow (Series A)
Powered by 4 specialized ML models analyzing 40+ behavioral signals • No tracking required
Choose Your Revenue Intelligence Plan
Choose between core ML intelligence or advanced predictive capabilities
Pro
MOST POPULAR
$790/year
- 90% Attribution Accuracy (Server-side)
- Core ML Predictions (Churn, Basic LTV)
- 30-Day Revenue Forecasting
- Smart Sampling (20% of data analyzed)
- Core Analytics (MRR, ARR, Churn)
- Customer Behavior Insights
- 3 Team Members
- Full Data History
- Email Support
- Perfect for Growing Businesses
Premium
$1490/year
- Everything in Pro plan
- 🚀 98% Attribution Accuracy (ML-Enhanced)
- Advanced ML Predictions with Confidence Scores
- 90-Day Forecasting with Scenario Planning
- Priority Sampling (40% data for higher accuracy)
- Custom ML Model Training
- API Access for Integrations (Coming Soon)
- Industry Benchmarking & Insights
- Unlimited Team Members
- Priority Support & Success Manager
Frequently Asked Questions
Meet the Founder
Building the future of revenue intelligence
Manu Ihou
Founder & CEO
With over 15 years of experience in enterprise software and integration architecture, I founded QuantLedger to solve a problem I witnessed countless times: businesses losing track of where their revenue actually comes from. As a certified integration architect (MuleSoft, IBM, Splunk), I've built systems that process millions in transactions, and I realized that ML could unlock insights hiding in payment data—without invasive tracking.
"Every transaction tells a story. QuantLedger helps you read between the lines—no cookies required."