See What Your
Marketing Data Shows
Your ad platforms show you clicks. MCP Analytics shows you how spend relates to outcomes in your data. Upload your marketing CSV and get campaign return, channel comparison, and spend-versus-outcome regression, with the method named in the report.
Your Spreadsheet Can't Answer These Questions
Every marketer tracks spend. Few know which spend actually matters.
Campaign Return
Go beyond ROAS. Regression analysis models how spend relates to outcomes in your data, showing where returns appear to flatten, which a simple ratio does not show.
Cross-Channel Comparison
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 can tell apart differences in your data from random variation.
Spend Patterns
See how returns vary with spend. Regression on your historical data estimates how returns change as spend rises, so you can see where extra spend appears to stop paying back proportionally for each campaign.
Export. Upload. Review.
Three steps from raw spend data to a report
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.
Upload Your CSV
Drop the file into MCP Analytics. Check that your file has the columns the analysis needs, such as spend, impressions, clicks, conversions, and a campaign identifier.
Get Your Analysis
Pick an analysis type or ask a question in plain English. Receive an interactive report with charts, and statistical findings, with AI-narrated explanations of the results.
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. Describe how outcomes relate to budget levels, where returns appear to flatten, and cost efficiency by campaign.
Channel Comparison
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 two campaigns or ad groups, with confidence intervals. It describes the difference in your data; it is not a designed experiment.
Traffic Source Analysis
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 showing whether acquisition costs are rising.
Spend Trend Analysis
Daily, weekly, and monthly spend patterns. Seasonality detection and anomaly flagging.
Conversion Funnel
Impression → click → conversion rates by channel. See where prospects drop off and how conversion rates compare by channel.
Budget Allocation
Describes how past performance and marginal return modeling relate to spend levels by channel. Associations in historical data, not a forecast.
Marketing Analytics FAQ
What marketing data formats does MCP Analytics accept?
Any CSV file with marketing data. Column names differ between exports from Google Ads, Meta Ads Manager, LinkedIn Campaign Manager, HubSpot, and CRM systems. Check that your CSV has the columns the analysis needs, such as campaign name, channel, spend amount, impressions, clicks, and conversions.
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, describing where returns appear to flatten, and comparing campaign efficiency using statistical tests rather than raw averages.
Can I compare performance across different marketing channels?
Yes. The channel comparison analysis compares performance across the 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?
MCP Analytics can run marketing performance analysis without a BI tool or SQL. Upload your CSV, describe what you want to learn in plain English, and get a report with charts, statistical findings, and AI-narrated explanations of the results. 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 describe how outcomes relate to spend levels, and get AI-narrated explanations of the results. It is meant to complement platform-native reporting with a cross-channel view of your own data.
Marketing Analytics Resources
Guides, methods, and deep-dives for marketing teams
Channels & Return
Analysis Methods
Ready to See What Your Marketing Data Says?
Upload your campaign spend CSV and get your first analysis.
Where to start
One email with your data and your question. We take it from there.
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