Interactive class model: score logic, action decisions, architecture trace, and live experiments.
20 Targeted Signals
Cybersecurity Sprint (jx73vrbs)
68 Seconds to Ingest
Raw-to-Nexus ingestion speed
$0.25 Cost Per Signal
High-efficiency Bounty sourcing
Current View: Manual GTMInteractive: loading...
Live Scoring Console
Signal Score = Intent (0-30) + Fit (0-30) + Urgency (0-20) + Trust (0-20)
Student Input Mode
18
20
12
14
Score
64
Action Tier
Nurture This Week
Nurture This Week
What This Means
Run a nurture sequence this week and collect one stronger intent signal.
Next Best Lever
Increase Trust to move fastest.
What-if Compare (Before / After)
No baseline yet. Click "Set Baseline".
Cold -> Warm -> Hot Autoplay (60s)
Simulation idle.
KPI Projection + Confidence
Tier band: Nurture This Week
Meeting Rate
14%
SQL Probability
8%
Confidence: 68%
Objection Simulator
Pick an objection to see guided response.
Business Case: Bounty x NBC
We just hit the first 20 Cybersecurity targets in 68 seconds.
At $0.25/outcome, efficiency is solved. But if an agency can't turn a spreadsheet into a GTM motion, they churn.
The NBC Move: We've built the GTM infrastructure to pipe these signals directly into legendary deals (e.g. NBC LA Architecture).
Save Class Run
Hotkeys: 1/2/3 presets, M mode, A architecture, S baseline, P poll apply, T simulation.
Architecture Trace
As inputs move, show how the system decides the next GTM action.
Intent Signals
Ingestion
Enrichment
Reasoning
Action Tier
↓
Revenue Outcome
Class prompt: “Which single variable changes outcome most, and why?”