Marketing ROI Calculator MCP. Pinpoint true profit, ignoring last-click vanity metrics.
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Marketing ROI Calculator determines true campaign profit and payback period by accounting for all operational costs, not just ad spend.
It calculates attributed revenue using models like Time-Decay, giving you a definitive financial picture of what actually drove sales.
What your AI agents can do
Compute rois metrics comparative
Compares ROI metrics, calculating performance across multiple marketing campaigns side-by-side.
Query marketing investment total
Calculates the total financial investment for a campaign within a defined date range.
Calculate attributed revenue
Calculates gross revenue linked to a specific campaign using various attribution models.
It combines all operational and media spending for a campaign into one verified cost figure.
It calculates the true value of sales using specific attribution models, like Time-Decay.
It delivers a full dashboard that compares ROI metrics and payback periods for multiple marketing efforts at once.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Marketing ROI Calculator: 3 Tools
These three tools let your agent calculate total investment cost, determine attributed revenue using advanced models, and finally compare performance metrics across multiple campaigns.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Marketing ROI Calculator on Vinkius019ec7e7compute rois metrics comparative
Compares ROI metrics, calculating performance across multiple marketing campaigns side-by-side.
019ec7e7query marketing investment total
Calculates the total financial investment for a campaign within a defined date range.
019ec7e7calculate attributed revenue
Calculates gross revenue linked to a specific campaign using various attribution models.
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Marketing ROI Calculator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 3 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Difficulty of Proving Marketing's Value
Right now, generating a true picture of marketing value means jumping between five different dashboards. You pull one report for ad spend, another for production costs, and yet another for attributed sales figures. Then you manually reconcile them all in a spreadsheet, hoping nothing breaks.
With this MCP, you feed the data into three stages: total cost calculation, sophisticated revenue attribution, and then comparison. The agent handles the complex reconciliation automatically, delivering clean financial answers every time.
Getting Clear ROI Metrics with `compute_rois_metrics_comparative`
You eliminate the need for manual cross-referencing. Instead of calculating Campaign A's performance, then starting over for Campaign B, you ask your agent to run a comparison across all three simultaneously.
The result isn't just a list of numbers; it’s an actionable view that instantly highlights where investment dollars are going and which campaigns provide the most return.
What you can do with this MCP connector
Tired of dashboards that only show last-click attribution? Most reporting systems fail because they calculate ROI based on incomplete data—they miss overhead, production costs, and the complex journey a customer takes before buying. This connector solves that by building out a full financial picture.
It starts by aggregating every single cost associated with a campaign: media spend, staff time, tools, everything. Next, it applies sophisticated attribution logic to raw sales data, ensuring credit is given accurately across the entire buyer journey. Finally, it synthesizes all these numbers into one clean view, giving you clear ROI percentages and payback timelines for side-by-side comparisons.
Because this deals with financial figures, auditability matters. When your agent runs a calculation through Vinkius, every tool call generates a cryptographically signed audit trail. That means the data flow is tamper-proof by design, so you know exactly how the numbers arrived at their final conclusion.
019ec7e7-5fbc-726e-8009-973ac17b2a46 
How Marketing ROI Calculator MCP Works
- 1 You first tell the agent which campaign and date range you're tracking, giving it all the necessary cost inputs.
- 2 The system then uses advanced models to calculate how much revenue is truly linked to that spend across the whole customer lifecycle.
- 3 Finally, the results combine the total costs with the attributed revenue, generating a clear comparison of ROI percentage and payback months.
The bottom line is you get deterministic financial reports showing true profit relative to total investment.
Who Is Marketing ROI Calculator MCP For?
Marketing Directors who are tired of reconciling spreadsheets by hand. Finance Analysts who need auditable proof for board presentations. Operations Leads struggling to prove the value of non-direct marketing channels.
Uses this MCP to generate reliable performance reports that justify budget increases and show true profit contribution.
Runs comparative analyses to verify cost allocations against revenue models, providing the necessary audit trail for quarterly reviews.
What Changes When You Connect
- You stop guessing your performance. By calculating total investment using
query_marketing_investment_total, you include every cost center—overhead, tools, and media spend—for an accurate picture. - Forget basic revenue reporting. The agent uses sophisticated logic via
calculate_attributed_revenueto give credit where it's due across the whole customer journey. - Comparing campaigns is simple. Use
compute_rois_metrics_comparativeto get a dashboard view of ROI percentage and payback months for multiple efforts at once. - You move past guesswork. The ability to compare performance metrics means you can immediately see which channels deliver the highest real profit margin against their total spend.
- The entire process is auditable. Vinkius ensures every single tool call generates a cryptographically signed trail, so your finance team trusts the numbers.
Real-World Use Cases
Quarterly Budget Review
A Marketing Director needs to compare Q1's performance for three separate product launches. They use compute_rois_metrics_comparative after feeding it the total costs (from query_marketing_investment_total) and the attributed sales data, proving which launch was most profitable.
Calculating Total Campaign Cost
An Ops Lead needs to know the full cost of 'SummerSale' for audit purposes. They run query_marketing_investment_total with specific dates and all cost inputs (media, production, overhead) to get a verified total investment figure.
Attribution Model Testing
A Finance Analyst needs to test if the 'Time-Decay' model is better than simple last-click attribution. They run calculate_attributed_revenue with raw sales data and compare the resulting attributed revenue figures for accuracy.
Identifying Spend Gaps
The team identifies a campaign that has high costs but low projected ROI. They use all three tools together—cost first, then revenue, then comparison—to pinpoint exactly where the spending needs to shift for better returns.
The Tradeoffs
Using only last-click data
Reporting shows Campaign A is great because it closed the deal. But you ignore that Campaign B was responsible for generating all the initial interest.
→
Run calculate_attributed_revenue to model revenue using advanced logic like Time-Decay, ensuring credit is given across the full customer journey before running comparisons.
Ignoring overhead costs
Calculating ROI only on media spend. This makes your profit look high because it forgets salaries, tools subscriptions, and agency time.
→
Always start with query_marketing_investment_total to aggregate all operational expenses into the total investment figure before running any metrics.
Comparing campaigns manually
Making a spreadsheet where you have to copy and paste three separate ROI calculations, which takes hours and invites errors.
→
Use compute_rois_metrics_comparative to synthesize all the necessary inputs into one dashboard, allowing for immediate, side-by-side analysis.
When It Fits, When It Doesn't
Use this MCP if you need a definitive financial report that proves true profit against total investment. This is required when stakeholders demand full visibility into operational costs or when last-click attribution isn't enough to convince the board. Don't use it if your primary goal is qualitative; for example, if you only care about brand sentiment or user experience scores, this will only give you money metrics. If you are simply trying to track basic ad spend without linking it to revenue, a simple cost tracker tool works fine. But when you need the whole story—cost + complex revenue attribution + comparison—this is your answer.
Common Questions About Marketing ROI Calculator MCP
How does `calculate_attributed_revenue` handle complex customer journeys? +
calculate_attributed_revenue uses models like Time-Decay. This means it doesn't just credit the last ad click; it distributes revenue across all touchpoints that influenced the sale.
What costs does `query_marketing_investment_total` include? +
It aggregates everything: media spend, production costs, overhead, and tools expense. It builds a verified total investment number so you don't forget any cost center.
Can I compare three campaigns easily using `compute_rois_metrics_comparative`? +
Yes. This tool is built for comparison. You pass it all the necessary metrics, and it spits out a single dashboard comparing ROI percent and payback months side-by-side.
Is this calculation accurate enough for finance reports? +
The calculations are highly auditable. Since Vinkius runs every call in an isolated sandbox, the tool calls produce a cryptographically signed audit trail showing exactly how the numbers were derived.
When should I use `query_marketing_investment_total` to define my investment scope? +
You must specify a distinct date range and a campaign ID. The tool calculates the total spending, including media spend, production costs, overhead, and tools expense for that exact window.
What happens if I provide an incorrect raw revenue figure to `calculate_attributed_revenue`? +
The system will return a validation error. This failure message tells you exactly which parameter needs correcting, preventing bad data from entering the final ROI calculation.
How does the platform combine results when I run multiple calculations using `compute_rois_metrics_comparative`? +
The tool accepts structured inputs containing all necessary metrics. This allows you to pass data derived from separate runs, letting it compare performance across different groups.
Is there a way to optimize the token use when running a full sequence involving `query_marketing_investment_total` and other tools? +
Yes. Vinkius has native token optimization built into every call, which cuts down on token consumption significantly compared to manual tool execution.
How does the system account for all types of spending? +
The query_marketing_investment_total tool handles this by aggregating four distinct cost categories: media spend, production costs, headcount overhead, and tools expense. This ensures your total investment is accurate before any ROI calculation begins.
Which attribution model should I use for the most accurate revenue figure? +
The calculate_attributed_revenue tool supports LAST_TOUCH, FIRST_TOUCH, and TIME_DECAY. We recommend starting with TIME_DECAY for complex B2B sales cycles as it provides the most weighted view of customer influence.
Can I compare multiple campaigns in one go? +
Yes. The compute_rois_metrics_comparative tool is designed for this, allowing you to pass a list of campaign IDs and generate a side-by-side comparison of ROI, payback months, and efficiency metrics.
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