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MCP Analytics gives marketing, revenue, and customer teams instant statistical analysis through any AI agent — no data scientists, no BI tools, no waiting weeks for reports.
What business teams analyze
- 59 analysis modules ready to run
- 3 min from CSV upload to full report
- 0 lines of code required
every business domain
to complete report
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and any MCP-compatible AI
Marketing & Growth
Measure what works, cut what doesn't. Get campaign ROI, attribution models, and spend optimization from your existing data.
Marketing Analytics
Upload campaign spend data and get ROI analysis, channel comparison, and cost-per-acquisition breakdowns. Works with any marketing platform export.
Ad SpendAd Spend Analyzer
ROAS efficiency by campaign and channel. Identify where you're overspending, find your top-performing ad types, and benchmark across periods.
AttributionMarketing Attribution
Multi-touch attribution across channels. See which touchpoints actually drive conversions, not just which ones get the last click.
MMMMedia Mix Modeling
Statistical regression across all your marketing channels to understand incremental contribution and optimal budget allocation.
TestingA/B Testing
Proper statistical significance testing for campaigns, landing pages, and messaging variants. Know when a winner is really a winner.
SEOSEO Quick Wins
Find keywords ranking 4–20 with high impressions but low CTR. Prioritized list of pages where better titles move the needle fast.
Revenue & Pricing
Forecast where you're heading, model how pricing affects demand, and find the revenue levers hiding in your transaction data.
Revenue Forecasting
Time-series models (ARIMA, Prophet) on your transaction history. Get forecasts with confidence intervals — not just a line drawn with a ruler.
PricingPricing Optimization
Price elasticity analysis on your product catalog. Understand which products can absorb higher prices and which are demand-sensitive.
StripeMRR Analysis
Monthly recurring revenue trends, expansion vs contraction breakdown, and net revenue retention. Works directly with Stripe subscription exports.
ProductsProduct Profitability
Gross margin by SKU, category, and channel. Identify your most and least profitable products using contribution margin analysis.
PromosPromotional Analysis
Did that discount actually work? Measure promo lift vs cannibalization and figure out which promotions add revenue vs give it away.
ShopifyShopify Analytics
AOV trends, geographic revenue distribution, and price sensitivity — all from your Shopify order exports, no third-party apps required.
Customer Intelligence
Segment your customers, predict who will churn, and calculate the lifetime value of each acquisition channel.
Customer Lifetime Value
BG/NBD probabilistic LTV modeling on your purchase history. Predict which customers will buy again, when, and how much — before they do.
ChurnChurn Analysis
Survival analysis and logistic regression to identify which customer behaviors predict churn. Build a risk score from your own data, not industry benchmarks.
SegmentationCustomer Segmentation
RFM segmentation and K-means clustering to identify your Champions, At-Risk, and Lost customers. Turn segments into targeted campaigns.
SampleLTV Report Example
See a complete customer LTV analysis — probability of repeat purchase, expected spend, and segment breakdown — on real transaction data.
SampleRFM Analysis Example
Recency-Frequency-Monetary segmentation on a real retail dataset — Champions, Loyal, At Risk, Lost. Each segment gets specific recommended actions.
SampleChurn Prediction Example
Logistic regression churn model on Stripe subscription data — risk scores, key risk factors, and recommended intervention timing by segment.
Operations & Data
Join datasets, detect anomalies, analyze cohort retention — the operational analytics that make better-run businesses.
Cohort Retention
Classic cohort retention table by signup month. See exactly where users fall off and how different cohorts compare over time.
AnomalyAnomaly Detection
Isolation Forest to flag unusual transactions, orders, or events. Find fraud signals, data quality issues, and outliers automatically.
SupportSLA & Ticket Analysis
Support ticket volume trends, response time distributions, SLA breach rates, and agent workload — from a CSV export of your helpdesk.
TrafficLog Traffic Analysis
Analyze server or app logs to understand usage patterns, peak hours, error rates, and endpoint performance — no ELK stack required.
ExplorerAuto Data Profiler
Upload any CSV and get instant data quality report — distributions, nulls, outliers, correlations, and data type issues across every column.
All modulesFull Analysis Catalog
Browse all 59 available analysis modules. Grouped by domain — statistical tests, ML models, time series, clustering, and more.
Every analysis is just an upload away
Select a module or describe what you want in plain English
Ready in minutes, not months
No data science training, no BI tool configuration, no waiting for the analytics team.
Export your data
CSV from Shopify, Stripe, Google Ads, Salesforce, or any tool. If it exports to a spreadsheet, you're good to go.
Ask your AI agent
Tell Claude, Cursor, or any MCP-enabled AI what you want to know in plain English. It handles the rest.
Get the analysis
MCP Analytics runs the right statistical model, generates an interactive report with charts and AI-written insights.
Share & decide
Export as PDF or share the report link. Bring findings to your next meeting with the actual numbers behind them.
Run your first analysis today
Free to start. No credit card. Works with any data you already have.