Controlled simulation proof

A working decision engine, not just a slide.

A sample enterprise SaaS campaign was processed through the working ProQualiFind / DisqualiFind decision engine to show how campaign opportunities can be ranked before ad budget scales.

View receipt screenshot

12 Campaign opportunities reviewed

4 Opportunities passed all alignment constraints

8 Opportunities showed one or more alignment violations

1 Verified top priority decision generated

What was tested

Enterprise SaaS pre-spend alignment simulation

The sample campaign reviewed 12 enterprise SaaS campaign opportunities against pre-spend alignment criteria including intent strength, offer relevance, audience alignment, timing quality, readiness, context risk, and brand safety.

Campaign objective Generate qualified enterprise SaaS demo requests.

Top ranked opportunity Compliance workflow searches.

Engine method Strict lexicographic violation vector ranking. No weighted score was used.

Engine version proq-simple-decision-demo-2.2.0

Verified ProQualiFind controlled simulation receipt

Execution artifact hash:
a5317773328f7964c582c6540d6e11b06f2e2a31c831e40c988d54ff3128c449

Simulation finding

Budget-priority clarity before spend is committed.

4 opportunities passed Four opportunities passed all alignment constraints and remained eligible for stronger budget consideration.

8 opportunities flagged Eight opportunities showed one or more alignment violations before campaign spend was scaled.

The system selected Compliance workflow searches as the top priority because it passed the required brand safety, context risk, intent strength, offer relevance, audience alignment, timing quality, readiness, channel, and geography checks.

Controlled simulation using sample data. This is not a customer performance claim and does not claim measured savings, conversion lift, or guaranteed campaign improvement. Product savings and lift remain to be validated through paid pilots.