Phase 2 Vision · Not Live Beta Intelligence

AI Insights Workspace workspace is a product vision preview. Phase 1 beta uses rules-based Map/Match over published listings, shortlist, dual-sided connect, and Opportunity Desk — not a live Identity Graph or AI ranking engine. Open Brief Builder · Marketplace · Workspace

AI Intelligence

AI Insights Workspace

An intelligence layer that turns fragmented sports data into recommendations for sponsor fit, pricing, audience opportunity, churn risk, and growth plays.

Demo Snapshot (not live ops data)AI recommendation layer

Signals indexed

2.8M

Audience, creator, property, event, participation

Recommendations

412

Generated across open workspaces

Confidence range

72-94%

Transparent fit scoring by source

Manual hours saved

140/wk

Discovery, reporting, and shortlist automation

Latest Activity

Pair WPL property with education brand

Create proposal

Bundle run coaches into marathon pack

Build roster

Price pickleball title package upward

Adjust rate card

Operator

Executive team, strategy, revenue ops, data analyst

Managed inside Arena workspace.

Next Actions

  • Open recommendation queue
  • Compare sponsor fit model
  • Export executive insight memo

Signals

Performance Metrics

Signals indexed

2.8M

Audience, creator, property, event, participation

Recommendations

412

Generated across open workspaces

Confidence range

72-94%

Transparent fit scoring by source

Manual hours saved

140/wk

Discovery, reporting, and shortlist automation

Dataset

Relevant Workspace Data

RecommendationWorkspaceConfidenceReasonAction
Pair WPL property with education brandBrand Discovery91%Female sports + family decision-maker overlapCreate proposal
Bundle run coaches into marathon packCreator CRM84%High retention and training intentBuild roster
Price pickleball title package upwardProperty Sponsor Room79%Category demand exceeds inventoryAdjust rate card

Workflow

How Teams Use This Workspace

  1. 1

    Normalize signals from every profile, property, event, campaign, and community.

  2. 2

    Generate explainable recommendations with confidence and source context.

  3. 3

    Route recommendations into the correct workspace for action.

  4. 4

    Track accepted actions to improve scoring and executive proof loops.

Decisions And Actions

Open recommendation queue
Compare sponsor fit model
Export executive insight memo

Connected Pages

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