Stop Sending Outreach
That Gets Ignored

Contested scores fit across audience overlap, content style, and brand safety to build shortlists that perform. Stop guessing. Start matching.

200+ signals analyzed per match
Shortlists in minutes, not weeks
No
Brief importEligibility checksPerformance predictionsLearning loopsExplainable scoresShareable reportsBrief importEligibility checksPerformance predictionsLearning loopsExplainable scoresShareable reports
Performance

The numbers that matter

Real data from live campaigns showing how matchmaking drives results.

Signals per match
200+

Audience overlap, content style, safety, and performance data fused into every recommendation.

Time saved
65%

Compared to manual outreach and spreadsheet workflows—reclaim hours for strategy.

Engagement lift
3.2×

When match score clears 88, based on 847 live campaigns analyzed.

Live Preview

See how match scores change with your goals

Every preview below taps real scoring logic—swap the lens and watch how the shortlist, creative style, and projected results reconfigure.

Model output
Top creative probability: 87%

Sprinters, cheer captains, and NIL hoopers with audiences that engage with late-night study sessions and pre-game rituals.

Projected reach
2.1M
Incremental sell-through
+31%
Creative resonance
92
Analysis

What we analyze before recommending

Matchmaking isn't luck. It's data, creative judgment, and safety checks working together. Here's what we evaluate before recommending an athlete.

Audience fit

Real overlap with your buyers—demographics, location, purchasing behavior—not vanity metrics.

Past performance

Historic campaign results inform every shortlist. What worked before predicts what works next.

Safety & eligibility

Eligibility, FTC disclosures, and brand safety checks happen automatically—before you see names.

Creative style

Content tone, pacing, and format performance matched to your brief's creative direction.

Transparency

The match report you receive

Every recommendation ships with a transparent breakdown so you can share the why behind the match with procurement, legal, and leadership.

Audience

  • Demographics and location overlap
  • Retail and campus proximity
  • Sentiment and loyalty signals

Brand fit

  • Values and mission alignment
  • Eligibility and compliance checks
  • Partnership conflicts and history

Content

  • Tone, pacing, and format performance
  • Platform-specific results (Reels, TikTok, YT)
  • Engagement depth and reply patterns

Momentum

  • 30/60-day engagement velocity
  • Conversion spillover from past work
  • CPV, CPM, CPA modeling
Guardrails

Built for executive buy-in

The system isn't a black box. It monitors fairness, explains tradeoffs, and maps budgets to outcomes so your leadership team has conviction before signatures land.

Variance window maintained: 7.6%

Fairness & safeguards

Weighting guards against loud vanity metrics. Diversity and eligibility checks run before you ever see a shortlist.

Sequenced plans auto-generated

Plan the narrative

Who sparks interest, who educates, and who closes—mapped to your timeline with shareable playbooks.

Median modeled ROI: 3.4×

Budget scenarios

See expected impact at different spend levels so you invest where lift is provable.

How It Works

Match on signals.
Learn from results.

Signal-based matching finds the right partners. Learning loops make every campaign sharper. Together they keep your shortlist accurate, explainable, and ready to launch.

Signal-based matching

The engine embeds and compares hundreds of brand and athlete signals—from audience demographics to engagement velocity—using similarity models that rank partnerships by the highest projected return.

Ingest
Train
Score
Deploy

Adaptive learning loops

Campaign outcomes feed into a closed-loop retraining system. Sequence models learn what worked, what didn't, and continuously refine match scoring for sharper accuracy at scale.

Workflow

From brief to campaign launch

The match graph doesn't just spit out names—it scripts a cinematic rollout. Each phase blends human creativity with machine precision so your launch lands like a cultural moment.

1
Brief ingestion complete in 4 minutes

Absorb

We ingest your brief, creative anchors, and the KPIs that matter inside a guided workspace. No spreadsheet clean-up required.

2
Forecast accuracy ±6%

Predict

Signal models run across our athlete graph to simulate performance, creative resonance, and risk—before you spend a dollar.

3
Playbooks generated in 38 seconds

Compose

Narrative sequencing orchestrates who ignites buzz, who educates, and who closes conversions. Exportable playbooks keep the team aligned.

4
Closed-loop retraining every 24 hours

Iterate

Live results feed back into the model. Every campaign sharpens the next shortlist, with audit trails that legal and finance sign off on.

Trust

A workflow brands can trust

From uploading a brief to launching your campaign, matchmaking stays transparent and measurable. Every phase has context, predicted outcomes, and a tight feedback loop.

Step 1

Sync your brief + goals

Import a new campaign or connect an existing roadmap. Targets, budgets, and creative needs ingest instantly.

Step 2

Model the universe

Match graph scans thousands of athletes, filters eligibility, and scores the highest-fit cohorts in minutes.

Step 3

Preview outcomes

Review predicted reach, conversions, and playbooks. Every recommendation ships with explainability.

Step 4

Launch + learn

Approve, brief, and monitor campaigns in one flow. Outcomes loop back to sharpen the next shortlist.

Plays nicely with your stack

Data in, data out. Secure integrations keep match scoring live with your latest sales, attribution, and campaign outcomes.

Shopify
Stripe
Meta
TikTok
YouTube
GA4
HubSpot
WorkOS
Impact

Metrics that matter

Brand safety incidents
0

Safety filters prevent misaligned profiles from ever appearing in your queue.

Time to shortlist
90 mins

From brief creation to approved roster with contextual memos & creative notes.

Transparency index
100%

Every recommendation includes reasoning, scoring, and model lineage.

Customer spotlight

"Contested helped us turn small athlete partnerships into an outperforming growth channel. The ROI on our first campaign outperformed every paid channel we’ve tested this year. I have struggled to find influencers before, but you guys made it so easy"

Mike GreerFounder, Altering
App Downloads up 325%
99% brand–athlete compatibility accuracy across live briefs.
3× higher engagement rate compared to manual selection lists.
Automated compliance and eligibility gating across every roster.
Explainable recommendations with shareable match reports.