Incrementality Estimator Connector for AI agents.
3 live capabilities
Calculate true incremental ROAS and campaign lift using control group data.
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Why people use Incrementality Estimator
Stop Overpaying for Organic Sales with Incrementality Estimator
With the Incrementality Estimator, you can just feed in the raw numbers and let the agent do the heavy lifting. It handles the baseline math and isolates the lift automatically. You get a clear, honest picture of your campaign's performance in seconds.
What Vinkius changes
You stop overpaying for sales you would have gotten anyway.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Verifying brand search impact
A media buyer wants to know if their brand search campaign is driving new sales or just capturing intent.
- Real-world use case 02
Justifying budget increases
A growth lead needs to justify a budget increase by showing a 20% lift over a control group.
- Real-world use case 03
Analyzing social media profitability
A performance marketer wants to see if their TikTok spend is actually profitable after accounting for baseline behavior.
Complete set · 3capabilities
The complete Incrementality Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with Incrementality Estimator.
01—03
3 capabilities in this set.
Part of 3 available through Incrementality Estimator.
- 01 Capability
Calculate baseline metrics
This capability calculates the natural conversion rates for both your control and exposed groups. It sets the foundation for any lift calculation.
- 02 Capability
Calculate incrementality metrics
This capability determines the absolute lift and percentage lift from your campaign. It also calculates your incremental CPA.
- 03 Capability
Calculate roas comparison
This capability compares your reported channel ROAS against your actual incremental ROAS. It helps you see the true return on your spend.
Set up in minutes
One URL. Then ask Incrementality Estimator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Incrementality Estimator from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_tm5KKoTQEsBfA1gKEU6xiVwb0Wu7MUilDtNGbVTj/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Incrementality Estimator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Incrementality Estimator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_tm5KKoTQEsBfA1gKEU6xiVwb0Wu7MUilDtNGbVTj/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Incrementality Estimator URL.
- Step 03
Save and start
Save the connection and enable Incrementality Estimator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"incrementality-estimator": {
"url": "https://edge.vinkius.com/vk_preview_tm5KKoTQEsBfA1gKEU6xiVwb0Wu7MUilDtNGbVTj/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Incrementality Estimator
Open Agent mode in chat and ask: "Using Incrementality Estimator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"incrementality-estimator": {
"url": "https://edge.vinkius.com/vk_preview_tm5KKoTQEsBfA1gKEU6xiVwb0Wu7MUilDtNGbVTj/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Incrementality Estimator
Ask Copilot: "Using Incrementality Estimator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"incrementality-estimator": {
"url": "https://edge.vinkius.com/vk_preview_tm5KKoTQEsBfA1gKEU6xiVwb0Wu7MUilDtNGbVTj/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Incrementality Estimator
Open Cascade and ask: "Using Incrementality Estimator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"incrementality-estimator": {
"url": "https://edge.vinkius.com/vk_preview_tm5KKoTQEsBfA1gKEU6xiVwb0Wu7MUilDtNGbVTj/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Incrementality Estimator
Ask Cline: "Using Incrementality Estimator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add incrementality-estimator --transport http "https://edge.vinkius.com/vk_preview_tm5KKoTQEsBfA1gKEU6xiVwb0Wu7MUilDtNGbVTj/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Incrementality Estimator
Ask Claude: "Using Incrementality Estimator, show me...". 3 tools are ready
Where the request belongs
Work Incrementality Estimator can move forward.
The Incrementality Estimator is for the performance marketer who is tired of seeing inflated ROAS and needs to prove their budget is actually driving growth.
Performance Marketer
Runs daily spend audits to see which channels are actually profitable after accounting for organic baseline.
Growth Analyst
Builds reports for leadership that show the real monetary value of a new marketing intervention.
Media Buyer
Uses lift data to decide where to shift budget between competing social and search channels.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Bayesian A/B Testing Calculator
Quantify conversion probability, expected loss, and uplift using Bayesian inference.
Measured
Marketing performance and incrementality analytics via Measured. track ROAS and cross-channel impact.
ROAS Calculator
Accurately determine your Return on Ad Spend (ROAS) across all channels, benchmark against industry standards, and calculate the break-even point to guide profitable ad spending.
Bring your own AI
Change the model, client or framework. Keep Incrementality Estimator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Incrementality Estimator.
The practical details behind the request, access and result.
How do I know my ads are actually driving new sales?
The Incrementality Estimator helps you see the difference. It compares your ad-exposed group to a control group to show you exactly how many sales happened because of your ads versus how many would have happened anyway.
What is the difference between ROAS and incremental ROAS?
Standard ROAS counts every sale your ads touched. Incremental ROAS only counts the sales that happened because of your ads. This Connector helps you find that specific number so you don't overcount your success.
Can I use this to see if my social media ads are worth the spend?
Yes. By using the Incrementality Estimator, you can see the true lift of your social spend. It helps you identify if those ads are actually driving new behavior or just reaching people who were already going to buy.
How do I calculate marketing lift with a control group?
The Incrementality Estimator automates this for you. You provide the data for both groups, and it handles the baseline math to give you the absolute and percentage lift figures.
Is my ROAS being inflated by organic traffic?
It likely is. Most platforms attribute organic sales to your ads if the user clicked recently. The Incrementality Estimator strips that away to show you the real marginal return on your spend.
What is the difference between reported ROAS and true incremental ROAS?
Reported ROAS treats all conversions as campaign-attributable, which usually overestimates value. True Incremental ROAS uses the calculate_roas_comparison capability to factor in the baseline conversion rate derived from the control group, providing a much more accurate measure of marginal return.
I only have raw cohort sizes and conversions. What should I run first?
You must start by using the calculate_baseline_metrics capability. This establishes the fundamental conversion rates (Control CR and Exposed CR) needed for all subsequent lift calculations.
How do I find the absolute number of extra conversions? Which capability handles this?
The calculate_incrementality_metrics capability is designed for this. It takes your baseline CR and exposed performance data to calculate the absolute incremental conversions, telling you exactly how many extra sales were achieved.
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