SB
Super by Meta Financial Model

Media/Gaming Startup Financials (Free Excel Download)

Super is a Facebook-incubated live creator meet-and-greet platform exploring B2B2C sponsorship monetisation for creators.

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About this model

Super is a browser-based live-streaming platform designed around talk-show-style events. A host interviews a creator in front of fans, who can ask questions, join meet-and-greets, react, and purchase digital experiences without downloading an app. The deck presents sponsorship placements across the event lifecycle.

Brands can appear on pre-show pages, pre-roll video, meet-and-greet screens, shareable selfies, replays, trivia, product links, and giveaways. Creators retain 100% of sponsorship fees and Super takes no direct sponsorship transaction fee. Its own monetisation is only implied through fan digital purchases, with no pricing or revenue share disclosed.

Super had run more than 35 public tests. A representative Austin Evans and Snickers event generated 3,201 page views, 2,192 attendees, 293 peak concurrents, 30,302 reactions, and 290 watch hours. The model should separately test event volume, registrations, attendance, fan-purchase conversion, creator support costs, and platform delivery economics.

A turnkey financial model

Live formulas, no hardcoded values

Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.

All assumptions in one tab

Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.

Statements always balancing

For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.

Distinct schedules for clarity

Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.

No hidden macros or external links

There are no unexplained external workbook links or macros to undermine auditability or portability.

Changes flow through the model

Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.

About Super by Meta

Read the pitch deck
Super by Meta pitch deck cover
View on makeslides.com
Funding round
n/a
Founded
2021
Category
Media/Gaming
Customer
B2B
Geography
US

How to build a detailed financial model for Super by Meta

A complete walkthrough of the business, drivers, and assumptions behind the downloadable Super by Meta model - distilled from its pitch deck and publicly available information.

Product & value proposition

Super is a web-based live-streaming platform (no app download required) modelled on late-night talk shows: a host interviews a creator ("Superstar") in front of fans who can interact, ask questions, and buy digital experiences.

Sponsorship placements available to brands:

  • Pre-show page (30 min prior): logo, link, branded background, sponsor video.
  • Pre-roll video (15–30 sec, auto-plays once at event start).
  • Meet & Greet branding: sponsor logo, background on the 1-on-1 fan interaction screen.
  • Super Selfies: branded take-away shareable images.
  • Post-event: on-demand sponsor video replay, sponsored messages/links.
  • Super Trivia: sponsor-centric trivia questions.
  • Merch / Product links: in-show links to sponsor store.
  • Giveaways: in-event prize draws (noted as not fully tested, requires dev work).

Creator keeps 100% of sponsorship revenue. Super takes no transaction fee. Super provides operational support and post-show analytics report.

Revenue model

For this deck (sponsorship product being tested):

  • Creator keeps 100% of sponsor fees. Super receives $0 from sponsorship directly.
  • Super's business model (beyond sponsorship) implied to include fan digital purchases ("interactive, digital purchases") - pricing not disclosed.
  • No CPM rates, flat-fee packages, or revenue-share economics shown for sponsors.

Channels: Direct outreach to brands/agencies (implied by deck audience and contact reference).

Traction & metrics

  • 35+ successful public tests of the platform run to date.
  • Single event stats shown (representative show, Austin Evans / Snickers, ~Feb 2021):
  • Event Page Views: 3,201
  • Registered: 392
  • Attended Event: 2,192
  • Peak Concurrent: 293
  • Meet & Greet Queue: 29
  • Questions Asked: 38
  • Reactions: 30,302
  • Watch Time: 290 hrs
  • No revenue figures disclosed. No cumulative user/creator/event counts given.

Team & funding ask / use of funds

  • Team: Facebook NPE (New Product Experimentation) team - no individuals named.
  • Funding ask: None - this is not a fundraising deck. It is a B2B sponsorship sales/partnership document targeting brands and content agencies.

Recommended financial model

  • Archetype + why: Creator-platform / digital media sponsorship revenue model. Because Super itself earns no direct sponsorship revenue (creator keeps 100%), the model must capture two separate revenue streams: (a) fan-side monetisation (digital purchases, upgrades - implied but not quantified in this deck), and (b) the indirect value Super captures by growing the creator/event supply that drives fan engagement. A 3-statement operating model with a creator/event volume driver tree is most appropriate. If the client intends to model what brands would pay creators (to assess market size or take-rate scenarios), layer in a sponsorship CPM/flat-fee unit economics module.
  • Forecast horizon & granularity: 3 years monthly (Year 1 monthly, Year 2–3 quarterly acceptable). Platform is in alpha; weekly granularity not warranted until post-launch.
  • Key drivers & assumptions:
  • Number of active creators (Superstars) per month
  • Shows per creator per month
  • Avg. registered fans per show
  • Avg. attendees per show
  • Fan digital purchase conversion rate
  • Avg. digital purchase value (ARPU per show)
  • Sponsorship penetration rate (% of shows that carry a sponsor)
  • Avg. sponsorship deal value per show
  • Super's take rate on fan purchases
  • COGS: hosting/streaming infrastructure per show
  • Headcount: product, engineering, ops, creator success
  • Scenarios (Base / Bull / Bear - which variables flex):
  • Bear: Creator growth slow (50 by Y3), low sponsorship penetration (20%), low ARPU ($3)
  • Base: 150 creators by Y3, 40% sponsorship penetration, ARPU $8
  • Bull: 400 creators by Y3 (Facebook distribution flywheel), 65% sponsorship, ARPU $15, Super negotiates rev-share on sponsorship
  • Required sheets / outputs:
  1. Assumptions - all drivers above, scenario toggles
  2. Creator & Event Volume - monthly creator count, shows/creator, viewers/show
  3. Fan Revenue - digital purchase conversion × ARPU × Super take rate
  4. Sponsorship Module - sponsored show volume × avg. deal value (for market sizing; Super take = $0 in base case)
  5. P&L - revenue, COGS (infra), gross profit, OpEx (headcount, marketing), EBITDA
  6. Headcount plan
  7. Cash / Runway (since this is an NPE incubation, Facebook funds it - model burn vs. milestones)
  8. Dashboard - KPIs: active creators, shows/month, total viewers/month, GMV of sponsorships, fan revenue, gross margin

Frequently asked

Is the Super by Meta financial model free?+

Yes. The Super by Meta model is a free Excel (.xlsx) download with live formulas. Sign up with your email and the workbook is yours to keep, review, and edit.

What's included in the model?+

A 5-year monthly forecast with P&L, cash flow and runway, valuation (exit multiple plus a DCF cross-check), MOIC/IRR returns, and unit economics, with live formulas throughout.

How was this model built?+

It was built from Super by Meta's pitch deck and publicly available information, then structured to investment-banking standards as a fully editable Excel model.

Can I change the assumptions?+

Yes. You can change assumptions and the live formulas will recalculate in the downloadable Excel model.

Have more financial modelling questions? Contact us

Alex Tapio, ex-Deloitte financial modelling expert

Created by ex-finance professionals

Hey, I’m Alex and I created Finamodel.

Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.

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I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.

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