Know Which Campaigns
Actually Drive Revenue
Your ad platforms show you clicks. MCP Analytics shows you which spend turns into money. Upload your marketing CSV, get campaign ROI, channel attribution, and spend optimization—backed by regression analysis, not guesswork.
Your Spreadsheet Can't Answer These Questions
Every marketer tracks spend. Few know which spend actually matters.
True Campaign ROI
Go beyond ROAS. Regression analysis models how each dollar of spend relates to outcomes, revealing diminishing returns thresholds and optimal budget levels that simple ratios miss.
Cross-Channel Attribution
Compare performance across paid search, social, email, and organic in one view. Statistical tests show whether channel differences are real or just noise—so you stop shifting budget on flukes.
Spend Optimization
Find where you're overspending and underspending. Linear regression on your historical data identifies the point where additional spend stops producing proportional returns for each campaign.
Export. Upload. Optimize.
Three steps from raw spend data to actionable insights
Export Your Marketing Data
Download campaign data from Google Ads, Meta Ads Manager, LinkedIn, your CRM, or any marketing platform as CSV. Include spend, impressions, clicks, and conversions. Takes under a minute.
Upload Your CSV
Drop the file into MCP Analytics. The system auto-detects spend columns, impression counts, conversion metrics, and campaign identifiers—no column mapping required.
Get Your Analysis
Pick an analysis type or ask a question in plain English. Receive an interactive report with charts, statistical findings, and AI-written recommendations for your marketing strategy.
Marketing Analyses Available Today
Every analysis runs on your actual data and produces a shareable report
Marketing Spend Analysis
Linear regression on spend vs. outcomes. Find optimal budget levels, diminishing returns thresholds, and cost efficiency by campaign.
Channel Attribution
Compare performance across paid search, social, email, organic, and referral. Statistical tests for significance, not just averages.
Campaign Comparison
Head-to-head statistical comparison of any two campaigns or ad groups. A/B test results with confidence intervals.
Traffic Source Analysis
GA4-powered breakdown of traffic sources, medium effectiveness, and source-to-conversion pathways.
Page Engagement
Which landing pages hold attention and which lose visitors. Engagement rates, scroll depth proxies, and bounce analysis.
Cost Per Acquisition
CPA by channel, campaign, and time period. Trend analysis to spot rising acquisition costs before they eat margins.
Spend Trend Analysis
Daily, weekly, and monthly spend patterns. Seasonality detection and anomaly flagging for budget oversight.
Conversion Funnel
Impression → click → conversion rates by channel. Find where prospects drop off and which channels convert best.
Budget Allocation
Data-driven recommendations for reallocating spend based on historical performance and marginal return modeling.
MCP Analytics vs Spreadsheets & BI Tools
What you gain beyond pivot tables and platform dashboards
| Capability | MCP Analytics | Spreadsheets / BI |
|---|---|---|
| Regression-based spend optimization | ||
| Statistical significance testing | ||
| AI-written campaign recommendations | ||
| Cross-channel performance comparison | Manual setup | |
| Diminishing returns detection | ||
| Interactive shareable reports | Requires setup | |
| Basic spend totals and charts | ||
| Requires technical expertise | No | SQL / formulas |
Marketing Analytics FAQ
What marketing data formats does MCP Analytics accept?
Any CSV file with marketing data. Common exports from Google Ads, Meta Ads Manager, LinkedIn Campaign Manager, HubSpot, and CRM systems all work. Your CSV should include columns like campaign name, channel, spend amount, impressions, clicks, and conversions. The system auto-detects column types.
How is marketing ROI calculated?
ROI is calculated as (Revenue - Cost) / Cost for each campaign and channel. MCP Analytics goes beyond simple ROI by running regression analysis to model how spend relates to outcomes, identifying diminishing returns thresholds, and comparing campaign efficiency using statistical tests rather than raw averages.
Can I compare performance across different marketing channels?
Yes. The channel attribution analysis compares performance across all channels in your data—paid search, social, email, organic, referral, and more. You get cost-per-acquisition by channel, conversion rate comparisons, and statistical tests showing whether differences are significant or just noise.
Do I need a data analyst or BI tool?
No. MCP Analytics replaces the need for a BI tool or data analyst for marketing performance analysis. Upload your CSV, describe what you want to learn in plain English, and get a complete report with charts, statistical findings, and written recommendations. No SQL, no dashboards to configure, no pivot tables.
How does this compare to Google Analytics or ad platform reporting?
Ad platform reports show you metrics for that platform only. MCP Analytics lets you combine data from all channels into one analysis, run cross-channel comparisons, apply regression modeling to find optimal spend levels, and get AI-written recommendations. It complements platform-native reporting by adding the statistical rigor and cross-platform view that individual dashboards can't provide.
Marketing Analytics Resources
Guides, methods, and deep-dives for marketing teams
Attribution & ROI
Analysis Methods
Ready to See What Your Marketing Data Actually Says?
Upload your campaign spend CSV and get your first analysis in under 3 minutes. No credit card required.