Connecty learns your goals, strategy, ICP, and funnel focus — then your metrics, signals, and playbooks become a living graph its agents reason over to recommend accurate, custom actions every day.
A semantic layer stops at metrics — what happened. A decision needs four layers above it: the situations to weigh, the moves you'd make, and the goals that pick the winner. Connecty adds them.
Each layer is filled with your definitions. That's why the same ad, the same number, the same frame means something specific to you.
What's happening right now — read frame-by-frame and joined to revenue.
The situations worth evaluating — every "what if," weighed daily against live signals.
Your playbooks — the moves a great media buyer would make, ranked and reversible.
Your targets and strategy — what the agents steer every decision toward.
Inside Signals, every video is read into the building blocks of why an ad works — then judged against your top performers, in the right cohort and funnel stage.
A weak hook at the top of funnel is fatal — the hook is the entire job. The identical weak hook at the bottom of funnel is often fine, because a warm audience doesn't need a scroll-stopper. Rules-based tools score both the same. Connecty knows the difference — because every signal is judged against your own top performers, in the right cohort and funnel stage. That's what makes the recommendation yours, not the category's.
Link Meta, Google, Shopify, Stripe. Tell us your goals, ICP, and funnel focus.
We extend your metrics with Signals, Scenarios, Actions, and Goals — verified and governed.
Agents weigh every scenario against live signals each morning — no rules to wire.
A ranked list of custom actions with full lineage back to the data. You approve.
The same four layers — Signals, Scenarios, Actions, Goals — replicate across the business. One graph, more decisions.
Real marketing decisions running in production — not a pilot.
Auto-built semantics, no modeling project to staff.
Each action traces back to your data and definitions — and is reversible.
From a consolidated Day Zero layer to real-time learning agents that keep the graph current.
Warehouse, medallion, aggregates, dashboards, governance.
Global to local context.
Code comparison.
Local context comparison.
External, unstructured, undocumented.
Launch the Autonomous Semantic Layer and give your agents instant, governed intelligence — grounded in your own goals and definitions.
