The Substrate, Wherever You Work
Ask about media performance, customer journeys and data coverage from the AI assistant your team already uses. Signed in as yourself, scoped to your engagements.
by Marketing Evolution
Marketers draft, plan and analyze marketing strategy using AI assistants, but ask how your paid social did last quarter versus the plan, and they can't tell you. Your performance data sits behind dashboards in another tab, so the AI gives generic advice while the real numbers live elsewhere.
Marketing Evolution’s MCP connector closes that gap. It brings Substrate's data, modeling, planning and analytics into Claude, ChatGPT and Gemini through the Model Context Protocol (MCP). No new interface, no exporting and pasting. Ask in the conversation you're already having, and the answer comes from your own data.
What you can ask
Ask in plain language and get an answer in seconds. The connector covers KPI snapshots, media performance, marketing mix models, media plans, customer journeys and data coverage.
Here’s what this might look like:
Check the data first. "How fresh is my data, and what does it contain?" Claude checks which sources are connected and when each was last updated.
Ask the simple question. "Total spend and conversions by channel for the quarter." Get the same numbers you'd see in the dashboard.
Ask the harder one. "Which channels are underperforming relative to spend?" Claude ranks them by cost per conversion and return, then recommends what to pause, reduce or reallocate.
Ask the question behind the question. "How do customers actually get to conversion?" You see which channels open a journey, which close it, and how many days pass in between. That context keeps a team from cutting a channel that starts journeys just because it doesn't close them.
Grounded in your business
Do your “spend” numbers include agency fees? Which currency? Is yesterday’s figure final? That context rarely lives in the data itself, so AI working from raw tables has to guess.
The connector brings your business taxonomy and ontology along with the numbers, meaning how your channels, campaigns and metrics are defined and how they relate to each other. The AI answers using the same definitions your team uses, so the numbers match your dashboard wherever you ask.
Secure by design
The AI gets the answer, not your data. Your data stays in Substrate, and you're always signed in as yourself, scoped to your engagements.
Each customer only ever sees their own data.
Long-running or large results are handled securely.
Every production update passes automated checks before it reaches customers.
Same trusted numbers, in whichever assistant your team already uses.
