Connect ProfitMetrics to Claude, ChatGPT, Gemini, or any AI tool that supports MCP servers. Ask questions in plain language, build reports, and monitor performance, all powered by your verified profit data.
No exports, no manual spreadsheet work.
POAS® rose from 2.1 to 2.4 overall. Meta improved the most; Google dipped slightly on higher spend.
| Channel | Ad spend | Gross profit | POAS® | Δ vs. Jul |
|---|---|---|---|---|
| Google Ads | €48,200 | €108,450 | 2.25 | 0.15 |
| Meta | €31,900 | €86,130 | 2.70 | 0.52 |
| Microsoft Ads | €6,400 | €13,440 | 2.10 | 0.08 |
| Total | €86,500 | €208,020 | 2.40 | 0.30 |
Paste an export into ChatGPT and you also hand it the job of deciding what your data means. Is revenue before or after VAT? Is profit calculated before or after shipping, payment fees and ad spend? Is it comparing the right stores and the right periods?
The answer may sound confident, but still be wrong.
The AI guesses what every column means, and never tells you which guess it made.
The AI queries the ProfitMetrics profit engine and answers with the definition attached.
The ProfitMetrics MCP Server removes the guesswork. It connects your AI directly to the same profit engine and metric definitions you already use in ProfitMetrics. Contribution margin, gross profit, and POAS® mean the same thing in every question, every report, and every dashboard.
Ask the questions you'd normally need a dashboard, a spreadsheet or an analyst to answer. Your AI pulls the relevant ProfitMetrics data and explains the result in a format you can use.
Contribution margin grew +11.8% month over month. Volume drove most of it; margin per order was flat.
| July | August | Change | |
|---|---|---|---|
| Orders | 9,412 | 10,388 |
10.4%
|
| Gross profit | €186,300 | €208,020 |
11.7%
|
| Ad spend | €88,700 | €86,500 |
2.5%
|
| Contribution margin | €97,600 | €121,520 |
11.8%
|
Turn live ProfitMetrics data into management reports, channel comparisons and client briefs inside the AI tools you already use. Compare periods, channels, stores or customer types, all without exporting and rebuilding the analysis by hand.
In AI tools that support agents, set them to check the metrics that matter and prepare recurring summaries. Spot changes in profit, spend or POAS® sooner, with the underlying numbers pulled directly from ProfitMetrics.
Make ProfitMetrics the trusted data layer in AI workflows for reporting, analysis, alerts and meeting preparation. Structured data goes in, so your workflows don't depend on copied screenshots, manually cleaned spreadsheets or improvised formulas.
Work with revenue, orders, ad spend, gross profit, contribution margin, POAS®, new-versus-returning customer economics, New Customer POAS®, nCAC, first-order payback, and complete order-cost breakdowns, all from the same metric registry.
Connect once and your AI can work across every client account you already have permission to access in ProfitMetrics. Prepare for meetings, draft weekly reports, compare client performance and identify the accounts that need attention, all without separate exports for every client.
The same structured profit data. The same metric definitions. Every client, every time.
Three of twelve clients dropped. Kettlebrook needs attention first: spend up, profit flat.
Add the ProfitMetrics connector in your AI assistant's settings and sign in with your existing ProfitMetrics account. No API keys, no developer, no installation required.
Your sites, client accounts and permissions are recognised automatically. Ask in plain language and your AI retrieves the relevant live data.
Every figure comes from the ProfitMetrics profit engine and follows the formal definition in the metric registry. If data is limited or a required feature is not enabled, the server says so instead of silently filling the gap.
The metric registry gives each metric a single, machine-readable definition. Your AI works from the same definitions as your ProfitMetrics dashboard.
Includes the costs that determine what you actually earn: COGS at order date, shipping, payment fees, handling and ad spend.
If the requested data is limited or unavailable, the MCP server says so clearly. Your AI explains the limitation instead of inventing a confident answer.
Access mirrors your existing ProfitMetrics permissions, checked on every request. You and your agency only see the stores and clients you are already allowed to access.
Compatible with Claude, ChatGPT, Gemini, Grok, Microsoft Copilot and other AI tools that support MCP servers.
Give your AI structured, verified profit data and turn everyday questions into answers you can act on with confidence.