What is the Channel99 Connector for LLM's
The Channel99 Connection for LLMs uses an MCP Server (Model Context Protocol) to turn high quality marketing and account signals into a unified context your AI can understand. Plug in your own trained model or a third party LLM and it will immediately see marketing performance, audience profiles and account identity. That lets the model surface reliable insights, recommend next best actions and execute workflows with no learning curve, driving faster decisions and clearer measurement.
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Unified model ready customer context
Channel99 MCP pulls site activity, pixel data, vendor scores, benchmarks and identity into one AI ready context. Your models and reports get richer signal right away so marketing teams see performance and intent without extra setup. -
BYOAI with governance
Keep your trained model and your policies. Plug in your preferred LLM and get trusted answers in your company language. MCP standards also make future LLM swaps straightforward. -
Superior account resolution and audience activation
Turn anonymous clicks and impressions into account level signals you can act on. Channel99’s multi source approach raises match rates and unlocks pipeline signal so teams can build, score and activate audiences in minutes. Actionable insights and execution at scale
Get automated AI digests, in workflow assistants and execution pathways that recommend next best actions and can launch campaign or CRM updates. The result is faster decisions, clearer measurement and direct impact on pipeline.
Where does the Data Come from
Data sources include the Channel99 JS tag and impression pixel, CRM pulls (Salesforce/HubSpot), ad vendor integrations (Google, Microsoft, LinkedIn, Facebook), and IP/firmographic partners. These sources feed a low-latency data layer and curated views used by MCP services. The data available to the MCP server can be found in our Snowflake share documentation as the same scheme is used for this purpose.
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