AdResonance turns fragmented ad channels into a governed decision system. It records what campaigns saw, what rules applied, what actions executed, and which outcomes improved the next decision across Google, Meta, Shopify, and vertical demand environments.

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Today I’m launching AdResonance, an omnichannel advertising intelligence layer. The problem is simple: advertising data is fragmented across platforms. Google, Meta, Shopify, TikTok, analytics tools, and vertical demand channels all show partial truth. Teams are left trying to understand what happened, why performance moved, and what decision should come next. AdResonance is built to turn those fragmented signals into a clearer decision record: campaign context, budget movement, creative choices, attribution signals, outcomes, and next-step recommendations. The first version is focused on helping operators see across channels instead of reacting inside disconnected dashboards. This is also part of a larger GENYS thesis: AI systems need memory, rules, and verification. AdResonance applies that thesis directly to advertising. I’d value feedback from marketers, agency operators, founders, AI builders, and anyone working on paid media, attribution, or campaign automation.

AdResonance looks less like a campaign tool and more like an omnichannel advertising intelligence layer.

The key question: how are decisions recorded and improved over time?

AdResonance looks less like a campaign tool and more like an omnichannel advertising intelligence layer.

The key question: how are decisions recorded and improved over time?

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

AdResonance

Omnichannel advertising intelligence

Omnichannel advertising intelligence

Forum Threads

How does AdResonance handle decision memory across ad platforms?

Forum Threads

How does AdResonance handle decision memory across ad platforms?