Stop Guessing Which
Campaigns Actually Drive Revenue
Your ad platform says it's working. Your spreadsheet says something else. MCP Analytics gives you the statistical truth—upload your marketing data and get channel ROI, attribution analysis, and budget recommendations in minutes.
What Dashboards Won't Tell You
Every platform claims credit. You need to know what's actually working.
True Channel ROI
Go beyond last-click attribution. Statistical regression reveals which channels actually drive conversions—not just which ones happen to be the last touch before a sale.
Diminishing Returns Detection
Find the point where more ad spend stops producing more results. Identify saturated channels before you waste budget, and reallocate to channels still scaling efficiently.
Campaign Comparison That's Statistically Valid
Not just "Campaign A got more clicks." Statistical testing tells you whether the difference is real or noise. Know which campaigns to scale with confidence, not gut feel.
Export. Upload. Optimize.
From raw marketing data to budget recommendations in 3 minutes
Export Your Campaign Data
Download performance data from Google Ads, Meta Ads, LinkedIn, your CRM, or any marketing platform as CSV. Include spend, impressions, clicks, and conversions for the richest analysis.
Upload Your CSV
Drop the file into MCP Analytics. The system auto-detects marketing columns—spend, clicks, impressions, conversions, campaign names—no manual mapping needed.
Get Your Analysis
Pick an analysis or ask a question in plain English. Get an interactive report with statistical findings, visualizations, and AI-written recommendations for your marketing strategy.
10+ Analyses for Marketing Teams
Every analysis runs on your actual data and produces a shareable report
Channel ROI Analysis
Compare return on investment across all marketing channels. Find which channels generate the most revenue per dollar spent.
Attribution Modeling
Move beyond last-click. Regression-based attribution shows the true contribution of each touchpoint in the customer journey.
Ad Spend Efficiency
Cost per acquisition, cost per click, and ROAS across campaigns. Find where you're overspending and where to invest more.
Campaign Comparison
Statistically compare campaign performance. A/B test significance, lift calculation, and confidence intervals for every metric.
Performance Trends
Daily, weekly, monthly performance with trend lines, seasonality detection, and anomaly alerts for key marketing KPIs.
Traffic Source Analysis
Understand where your visitors come from, which sources convert best, and how traffic quality varies by channel.
Page Engagement
Which landing pages convert? Bounce rates, time on page, scroll depth, and engagement patterns by traffic source.
Budget Optimization
AI-generated budget allocation recommendations based on historical performance and diminishing returns curves.
Keyword Performance
Which keywords and search terms drive conversions? Cost-per-conversion analysis and bid optimization insights.
See What You'll Get
Real output from a marketing spend analysis on advertising data
Key Insights
Model explains 78.2% of sales variance
All 3 advertising channels show statistically significant effects (p < 0.05). Standardized coefficients reveal which channel has the strongest dollar-for-dollar impact on revenue.
No multicollinearity issues detected
VIF values are within acceptable range, meaning channel spend levels are sufficiently independent. Your budget allocation recommendations won't be distorted by correlated inputs.
Model generalizes well to new data
Cross-validation RMSE ($1,263) closely matches training RMSE, confirming the model isn't overfitting. Predictions are reliable for budget planning.
MCP Analytics vs Spreadsheets
What you gain beyond manual reporting
Marketing Analytics FAQ
What marketing data formats does MCP Analytics accept?
MCP Analytics accepts CSV exports from any marketing platform including Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, HubSpot, Mailchimp, and any CRM. The system auto-detects common marketing columns like spend, impressions, clicks, conversions, campaign name, and date.
How is this different from Google Analytics or my ad platform's dashboard?
Ad platforms show you metrics within their own silo. MCP Analytics lets you combine data across platforms and apply statistical methods: regression analysis to find what actually drives conversions, spend efficiency curves, diminishing returns detection, and AI-generated recommendations. You get the analysis a data scientist would produce, without needing one.
Can I analyze data from multiple marketing channels together?
Yes. Upload a combined CSV with data from all your channels, or upload multiple files. MCP Analytics can analyze cross-channel performance, compare channel ROI, and identify which combination of channels produces the best results.
Do I need to know statistics to use marketing analytics?
No. MCP Analytics runs the statistical methods automatically and translates results into plain-English business recommendations. You'll see which campaigns to scale, which to pause, and where your budget is being wasted—all explained in terms marketers understand.
How is my marketing data protected?
All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Your marketing data is never shared, never used for AI training, and you can delete it at any time. We process your data to generate reports, then you control its lifecycle.
Marketing Analytics Resources
Guides, tutorials, and deep-dives for marketing teams
Ready to See What's Actually Driving Revenue?
Upload your marketing data and get your first analysis in under 3 minutes. No credit card required.