Investor View
Sponsorship ROI & Market Opportunity
Data-driven benchmarks and partnership pipeline
Market Opportunity
$87.4B
Global Sports Sponsorship Market (2025)
7.2% CAGR → $162.8B by 2034
Source: Statista / IEG 2025
3:1 – 6:1
Average Sponsorship ROI Benchmark
Brands with measurement see +35% higher ROI
Source: Forrester 2024
42%
F1 Female Fanbase (2025)
Up from 8% in 2017 — 48% of new fans are female
Source: F1 Global Fan Survey 2025
The Measurement Gap
Competitive Moat76%
of marketers struggle to calculate sponsorship ROI
Source: Forrester 2024
<5%
of sponsorship spend goes to women's sports despite 75% higher ROI
Source: Nielsen Sports 2024
Brands are investing more in sponsorship ($87.4B, growing 7.2%/year) in a category they openly admit they cannot measure. Nodal solves this with pre-deal ROI verification and data-backed partnership scoring.
Partnership Pipeline
| Talent / Property | Prospect | Match Score | Audience Overlap | Sentiment Alignment | Commercial Fit | Status |
|---|---|---|---|---|---|---|
| Bianca Bustamante | Globe Telecom | 82 | 82 | 85 | 78 | Strong Match |
| Bianca Bustamante | Razer | 76 | 72 | 78 | 80 | Moderate Match |
| F1 Academy | Globe Telecom | 76 | 75 | 82 | 70 | Moderate Match |
| Bianca Bustamante | Logitech G | 74 | 70 | 76 | 78 | Moderate Match |
| Bianca Bustamante | Whoop | 71 | 68 | 75 | 72 | Moderate Match |
Talent & Property Portfolio
| Name | Series | Followers | Engagement Rate | Primary Platform |
|---|---|---|---|---|
| Bianca Bustamante | EuroCup 3 | 1.8M | — | Instagram, YouTube, TikTok |
| Hana Burton | GT Racing | 340K | — | Instagram, YouTube |
| Formula E | Formula E | 2.5M | — | Instagram, YouTube, TikTok, X |
| F1 Academy | F1 Academy | 1.8M | — | Instagram, YouTube, TikTok, X |
| Bianca Bustamante | F1 Academy / GB3 | 1.2M | — | Instagram, YouTube, TikTok, X |
| Craft Bamboo Racing | GT World Challenge Asia | 450K | — | Instagram, YouTube, X |
| Hana Burton | GT Racing | 340K | — | Instagram, YouTube |
| GB3 Championship | GB3 | 320K | — | Instagram, YouTube, X |
ROI Projection Model
Title Partner
5.75x ROIInvestment
$2M
Projected EMV
$11.5M
Principal Partner
5.20x ROIInvestment
$750K
Projected EMV
$3.9M
Associate Partner
4.60x ROIInvestment
$250K
Projected EMV
$1.15M
Based on industry benchmarks (IEG, Nielsen Sports) and Craft Bamboo digital CPMs ($2.50–$4.20 vs $18–$32 for linear sports TV)
Validated by Market Leaders
All investing in female motorsport (F1 Academy 2024–2025)
Source: F1 Academy official partner announcements
Trial Summary and Questions
Data Source Inventory — Remaining Setup
| Source | Priority | Type | Use Case | Cost | Status |
|---|---|---|---|---|---|
| YouTube Data API | High | Video API | Both | Free | Pending |
| Reddit/Apify | High | Scraping | Both | Low | Pending |
| Audiense | High | Audience Profiling | Both | Low | Pending |
| Keyhole | High | Social Listening | Case 1 | Medium | Pending |
| Mention | High | Social Listening | Case 2 | Low | Pending |
| Craft Bamboo Brand Docs | High | Brand Docs | Both | Free | Pending |
| YouGov Profiles | Medium | Audience Profiling | Case 2 | Medium | Pending |
| GWI | High | Audience Profiling | Both | High | Pending |
Nodal AI vs Alternative: Claude Access
Side-by-side comparison of working with Nodal AI vs getting Claude access for your team.
| Capability | Nodal AI Platform | Claude (Team/Pro) |
|---|---|---|
| Custom sentiment engine | Built and live | Requires dev team |
| Partnership ROI scoring | Built and live (4 profiles) | Manual prompts only |
| Real-time data integration | 10 sources identified | No data integration |
| Geographic sentiment mapping | 8 countries tracked | Not available |
| Content theme analysis | 5 themes, 290 posts | Manual analysis |
| Share of voice tracking | 6 properties tracked | Not available |
| Fan-to-industry affinity | 9 mappings scored | Not available |
| Investor view + ROI projections | Full model built | Manual calc |
| Sponsorship sales collateral | Ready (market data + ROI) | Manual build needed |
| Dashboard / visual interface | Live web platform | Chat interface only |
| Ongoing data pipeline | Automated feeds | One-off queries |
| Multi-user access | Platform-based, scalable | Per-seat licence |
| Monthly cost | $400-600 (trial) | $20-30/user + dev costs |
| Setup time | Already built | Weeks to months |
Bottom line: Claude gives you AI access. Nodal gives you a built, tested, and deployed platform with live engines, real data, and sponsorship-ready outputs. Building this internally with Claude would require a developer, data engineer, and weeks of setup, and you would still not have the integrated dashboard, automated data pipelines, or ROI projection model.
Pricing: Market Value vs Trial Rate
What this platform would cost in the market
| Comparison | Monthly Cost | What You Get |
|---|---|---|
| Brandwatch | $800-3,000/mo | Social listening, no motorsport focus |
| Meltwater | $1,500-4,000/mo | Media monitoring, no ROI scoring |
| Cision | $2,000-5,000/mo | PR analytics, no partnership matching |
| Talkwalker | $1,000-3,000/mo | Social analytics, no sponsorship ROI |
| Custom build (one-off) | $50K-150K+ | What Nodal has already built |
| Nodal AI (trial rate) | $400-600/mo | Full platform, both cases, all engines |
What Craft Bamboo is getting
- Custom-built platform with two live AI engines (sentiment analysis + partnership scoring)
- Six motorsport properties tracked with audience, sentiment, and SOV data
- Five partnership matches scored with ROI projections
- Investor view with market data, ROI model, and sponsorship sales collateral
- Geographic analysis across eight countries
- Content theme analysis across 290 posts
- Ten data sources identified with integration roadmap
- Pre-deal signals: share of voice, fan-to-industry affinity, industry signals
The value gap
The trial rate of $400-600/month represents roughly 10-20% of what comparable platforms charge in the market, and less than 1% of the build cost. The reason is simple: the trial exists to prove the model. Once Craft Bamboo is satisfied with the outputs and ready to scale (more data sources connected, more properties tracked, more prospects scored), we can discuss what that looks like. The trial rate is locked in for the duration of the trial period. For context: the platform has already delivered sponsorship sales collateral that can be used in conversations with Globe Telecom, Razer, Logitech G, and Whoop. A single partnership deal signed off the back of this data would deliver ROI many times over the annual platform cost.
Next Steps
- 1.Schedule a walkthrough call to review the platform together
- 2.Connect remaining data sources (YouTube API, Keyhole, Reddit/Apify are free or low cost)
- 3.Begin importing social engagement and comment data for sentiment analysis
- 4.Confirm trial pricing and credits allocation
- 5.Identify additional prospects for partnership matching beyond the current five
Open Questions for Craft Bamboo
- Which platforms are primary for each talent (Bianca vs Hana) — should we prioritise Instagram and YouTube given current data availability?
- Can we get platform analytics exports (Instagram Insights, YouTube Studio, TikTok Analytics) for Bianca and Hana?
- Are there internal brand documents or positioning notes we can incorporate for either talent?
- For Case 2 — what is the prospect goal profile (commercial objectives, target audience, KPIs) for the partnership being modelled?
- Can we get deal notes or briefing documents for the prospect(s) under consideration?
- Should we expand the motorsport property comparison list beyond the current six properties?
- Which partner industry vertical should we model the comparison against for Case 2?
Data sourced from Forrester, Nielsen Sports, F1 Global Fan Survey, Liberty Media financials, IEG, Statista
Last updated: August 2026