AffMeta

AFFMETA is an AI-powered Audience Onboarding Category for Sports, Entertainment, Travel and Gaming. Turning fragmented attention into measurable, owned, segmented and partner-ready audiences. The AffMeta Platform monetizes as the activation and intelligence layer between influencers, affiliates, creators, fans, brands and commercial partners.

Global (world)

The proof of concept for the product has already been done, with a company in the USA, where I managed to get a 50/50% revshare with a Free-to-play casino operator in Germany.

I need to get product-market fit and I have a client who is onboard to do this with me - he is the broker for F1/F2 and we are using Emerson Fittipaldi's son, Emmo, to take his fan base and grow it as he journeys from F2 to F1.

The Problem:
Brands, rights-holders, creators and operators are spending more to reach audiences they do not own — inside a fragmented digital environment that is becoming harder to convert, retain and monetize.
The market does not need more traffic. It needs a measurable audience onboarding layer that turns fragmented attention into owned, qualified and commercially useful demand.

AffMeta Solution:
A New Audience Onboarding Category

The infrastructure layer between influencers, creators, fans, affiliates, brands and commercial partners.
Brands receive real-time dashboards showing their owned audience base as it grows — with segmentation and partner readiness clearly tracked.

The AffMeta infrastructure gives brands a segmented, commercially primed audience they can follow via the dashboard in real-time, onboard with confidence, and retain as owned customers.

AffMeta is an AI-powered audience onboarding platform for Gen Z and Millennials, helping sports, entertainment, travel and gaming brands transform fragmented attention into owned communities, first-party data and partner-ready audiences.
Initial verticals:

Sports / F1-F2 – [Phase 1 – proof of Product-Market Fit, then full remaining race schedule]
Entertainment IP – [Phase 2, focus: reality/movie releases and retail]
Travel and sports tourism – [Phase 2, events and activities-based]
Gaming / iGaming – [Phase 1 operators and expandable in Phase 3] 

One infrastructure engine. Multiple verticals. Repeatable playbooks.

The customer target market is Gen Zs and Millennials predominantly and as I am beginning to take the platform and product to marketing I am focusing on 4 verticals only in the first year of operation:
1. F1/F2 - focusing on the F2 drivers along their journey to Formula 1 status, with their fan base following their journey online, with some fans using simulators to ride behind the rivers and others online playing Prediction Odds challenges and winning rewards.
For example, Emmo has over 220,000 fans on Instagram and a far larger amount on TikTok. The other drivers have their own fan base, so this will grow exponentially.
2. For entertainment, I have a Hollywood producer team releasing 1 x movie and 1 x reality series and they are requiring the same target market for release of these two entertainment IPs.
3. The travel and tourism vertical with play nicely with the F1/F2 globally.
4. Having been in iGaming and consulting for many years to top brands ad operators, I have already being to numerous shows demo'ing the proof of concept and I have operators waiting to bee onboarded, as this is their ideal target market for sports betting and esports, and I have run successful esports campaigns online.
TAM / SAM / SOM - please see screenshot attached.

Revenue Streams - Phase 1 and 2:
Platform / campaign setup fees
Brand activation delivery fees
Creator / clipper campaign management fees
Audience intelligence and reporting fees
Affiliate / referral routing revenue
Partner activation fees
Fan engagement: predictions, missions, rewards, leaderboards and merchandising
Partner referral and conversion commissions

Phase 3 Revenue Streams:
Immersive AR/VR brand environments
Avatar unlocks
Premium fan subscriptions / gated access
Digital rewards
Branded missions inside 3D spaces
Merchandising and eyewear
Advertising billboards
B2B Private interactive spaces / VIPs.

Cost Structure - the budget has been drawn up to facilitate the pre- launch and post-launch activities and for the remaining races in 2026.

The Pre-Seed funding will be used for:
1. Complete product architecture for Phase 1 and 2
2. Accelerate Phase 1 launch
3. Run Pilot campaigns
4. Validate audience and partner economics.

AffMeta monetizes as the activation and intelligence layer between influencers, affiliates, creators, fans, brands and commercial partners.

I have inserted the First year revenue streams in the required revenue block above.
AffMeta wins because it captures value at the orchestration layer:
1. The audience relationship
2. The onboarding journey.
3. The First-Party data.
4. The segmentation logic.
5. The routing decision.
6. The operator introduction.
7. The commercial packaging.

AffMeta does not rely on one revenue stream — it creates multiple commercial layers from the same audience onboarding engine.

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The first F2 race (Silverstone} activation target conversion metrics:
12,000–20,000 registered users base case
20,000–25,000 registered users higher-performance case
35%–45% prediction / challenge participation
45%–60% CRM opt-in
10%–15% qualified for routing to sponsor brands
1,800–2,800 qualified partner-ready users 

CAC / LTV validation layer:
• Track registered user CAC, engaged user CAC, and qualified routed user CAC by source.
• Benchmark qualified audience value against partner revenue, sponsor contribution, and repeat-event cohort value.
• Silverstone proves whether AffMeta can generate partner-ready users at a lower cost than their future monetizable value.

These targets validate AffMeta’s ability to acquire, engage, segment and route live-event communities into measurable partner brand value — while proving that qualified audience LTV can materially exceed CAC over repeat race activations.

As this a new category, AffMeta does not have "complete" competitors, although there are a number of igaming companies using e.g. AR for acquisition and VR for retention - at this point no-one is using it together in a full-funnel 360 degree marketing player journey.

How AffMeta survives AI - and competitors:

AffMeta’s AI-resilient moat comes from:
1. Proprietary data loops — first-party behaviour, intent, segmentation and campaign performance data
2. Deep workflow orchestration — creators, CRM, gamification, brand activations, reporting and partner routing
3. Creator and clipper networks — relationships, briefs, trust and performance history
4. Fan social proof layer — badges, leaderboards, rewards, progression and shareable proof of participation
5. Cross-vertical playbooks — F1/F2, entertainment IP, travel and gaming
6. Independent market position — not locked into one brand, sponsor or operator ecosystem
7. Partner-routing intelligence — matching the right segment to the right commercial partner
8. Human-in-the-loop trust — strategy, compliance, brand fit and commercial routing remain supervised
9. Investor-grade reporting — measurable proof of demand, brand value and repeatable traction.

AI strengthens AffMeta rather than replaces it: the moat is not a single feature, but the proprietary audience data, compliance, workflows, trust layer and commercial execution built around every campaign.

The advantages - repeat of above question:
AffMeta’s AI-resilient moat comes from:
1. Proprietary data loops — first-party behaviour, intent, segmentation and campaign performance data
2. Deep workflow orchestration — creators, CRM, gamification, brand activations, reporting and partner routing
3. Creator and clipper networks — relationships, briefs, trust and performance history
4. Fan social proof layer — badges, leaderboards, rewards, progression and shareable proof of participation
5. Cross-vertical playbooks — F1/F2, entertainment IP, travel and gaming
6. Independent market position — not locked into one brand, sponsor or operator ecosystem
7. Partner-routing intelligence — matching the right segment to the right commercial partner
8. Human-in-the-loop trust — strategy, compliance, brand fit and commercial routing remain supervised
9. Investor-grade reporting — measurable proof of demand, brand value and repeatable traction.

AI strengthens AffMeta rather than replaces it: the moat is not a single feature, but the proprietary audience data, compliance, workflows, trust layer and commercial execution built around every campaign.

The risks are minimal as there are no regulatory nor licensing requirements or known legalities around the activities that we will be entertaining our users with - and we are compliant in most jurisdictions that we intend entering.

Laws may change, but it should not affect the free-to-play model, nor the achievements and rewards of the platform. In addition the brands that will advertise will also have to be compliant and get their own legal teams to ensure compliance of their products.

I have given this example in one of the questions above regarding the acceleration of an incubated platform for AR and Avatars and VR., where I assisted a North American listed blockchain company , called BIGG Digital Assets, to take their product to market with a German free-to-play casino operator with a 50/50% revshare deal, as proof of concept.

I have not entered competitions personally, althoughI have assisted B2B companies in winning awards in software development of their products.

No

Product-Market Fit and the budget has been approved with the broker to ensure all is in order.

Spreadsheets can be shown with NDA and approved investors.

I propose between 10 - 20% negotiable.