Signals legacy DSPs never see.
Every bid request on the Boost Boss network carries a bb_context object populated by the host application's MCP layer. Benna learns from every dimension in real time — and none of it relies on cookies, device IDs, or third-party data.
Intent is a first-class feature.
On a news site, all you know is that a 34-year-old in Austin clicked "read more." On an MCP surface, we know they just asked Claude "why is my pytest failing on the CI runner" — and that's a completely different person to bid on.
Benna treats the prompt as a signal, the tool chain as a signal, and the conversational stage as a signal. All three together produce a prediction that is 12x more predictive of conversion than any cookie-based segment we benchmarked against.
Every signal is privacy-preserving: no PII leaves the host application. Embeddings are computed on-device where possible and transmitted as anonymous vectors to the Benna inference gateway.
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