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MediaKits Financial Model

Media/Gaming Startup Financials (Free Excel Download)

SaaS platform for influencers, bloggers, and musicians to create real-time media kits connected live to their social analytics

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About this model

MediaKits creates public, auto-updating media-kit pages for influencers, bloggers, and musicians. Each shareable profile can pull real-time analytics from YouTube, Instagram, TikTok, Twitter, Spotify, Twitch, LinkedIn, and Apple Music, presenting reach, engagement, demographics, and top content to prospective partners.

The creator journey is to create a kit, share it, and be discovered by brands. Longer term, the company intends the profiles to form a searchable brand-side discovery library, supported by a proposition of verified, unedited influencer data rather than manually assembled audience screenshots.

The revenue model is freemium: a first kit is free and MediaKits Pro costs $19 per month. No conversion, user, churn, or brand-side revenue figures are disclosed. The model should therefore forecast free profile acquisition, conversion to Pro, retention, data-connection costs, and the potential later introduction of enterprise discovery or data products.

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 MediaKits

mediakits.com
Read the pitch deck
MediaKits pitch deck cover
View on makeslides.com
Total raised
$1.0M
Funding round
Pre-seed
Founded
2021
Category
Media/Gaming
Customer
B2C
Geography
US-centric

How to build a detailed financial model for MediaKits

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

Product & value proposition

  • MediaKits.com (mediakits.com/<handle>) builds auto-updating media kit pages for influencers
  • Pulls real-time social analytics from YouTube, Instagram, TikTok, Twitter, Spotify, Twitch, LinkedIn, Apple Music
  • Surfaces reach, engagement rate, follower counts, audience demographics (age, gender, location), and top posts in a shareable public URL
  • Secondary vision: become a brand-side discovery library - brands can find and evaluate influencers from a searchable kit repository
  • Three-step customer journey: Create kit → Share kit → Get discovered by brands
  • Long-term positioning: "The most trusted source for influencer marketing data" - verified, undoctored analytics

Market

TAM defined as creators with 10k+ followers/subscribers across platforms:

  • YouTube: 1.2M influencers (10k+ subs)
  • Instagram: 3.14M influencers (10k+ followers)
  • TikTok: 3.1M influencers (10k+ subs)
  • Twitter: 533K users (10k+ followers)
  • Spotify: 2.96M artists earning income
  • Twitch: 7M active streamers
  • Apple Music: 5M recording artists
  • LinkedIn: 50K users (10k+ connections)
  • Implied total TAM by count: ~23M creators across platforms

Influencer marketing industry spend (context for monetization potential):

  • 2016: $1.7B → 2017: $3.0B → 2018: $4.6B → 2019: $6.5B → 2020: $9.7B → 2021: $15.0B → 2022: $20.0B (estimated)

No SAM or SOM explicitly stated in deck.

Revenue model

  • Freemium: first media kit free, no time limit implied
  • MediaKits PRO: $19/month
  • Single paid tier shown; no annual pricing, no team/enterprise tier mentioned in deck
  • Conversion from free to PRO is the core monetisation lever; no brand-side revenue (sponsorship marketplace, data licensing) shown yet - but long-term vision implies a potential B2B layer

Competition / moat

Problem framing:

  • DIY (Canva / Photoshop): time-consuming, not real-time, limited options
  • Freelancers (Fiverr / Upwork): expensive, iterative, slow

Moat articulated:

  • Verified, live-connected analytics prevent influencers from inflating numbers
  • Network effect potential: kit library becomes valuable to brands as creator count grows
  • No direct named competitors presented in the deck

Team & funding ask / use of funds

Founders:

  • Kieran O'Brien (Co-Founder) - founder of GearedSocial, influencer campaign experience
  • Casey Adams (Co-Founder) - entrepreneur, author, social media expert
  • Andrea Khoury (Founding Member, Board) - mommy blogger / influencer
  • Aristotle Loumis (Founding Member, Executive Chairman) - Co-Founder Fyllo, Co-Founder Wesana, Partner/President Marcus Lemonis Fashion Group

Product team:

  • Sagi S. - Product Design Director (ex-SimilarWeb, Google, Fiverr)
  • Mor S. - UI/UX Designer
  • Braydon B. - CTO, full-stack, 4x tech exits
  • Bennet L. - Back End Developer
  • Pavel R. - Front End Developer
  • Robert O. - Developer (Princeton CS)

Notable advisors / investors: Ben Kaplan (FuckJerry), Michael Gruen (TalentX), Wiz Khalifa, David Meltzer (Sports 1 Marketing), Josh Elizetxe (Snow), Dan Fleyshman, Sriram Krishnan (a16z), Hiten Shah (Nira), Steven Galanis (Cameo), Arthur Leopold (Cameo), Elliot Tebele, Balaji Srinivasan, Kendrick Nguyen (Republic), Eric Toda (Facebook)

Funding ask:

  • $1MM seed round
  • Use of funds: product development, initial user acquisition, marketing, legal

Recommended financial model

Archetype + why: Freemium SaaS - subscriber funnel model (free-to-paid conversion). Revenue is purely subscription-based ($19/month per PRO user). The model should be built around registered user growth, free→paid conversion rate, and monthly churn, not a 3-statement from day one. A 3-statement shell can hang off the SaaS outputs but the core is a cohort/funnel driver model. No inventory, no COGS complexity, no marketplace GMV at this stage.

Forecast horizon & granularity:

  • Monthly for Years 1–2, quarterly summary for Years 3–5
  • 5-year horizon total (standard for seed-stage SaaS)

Key drivers & assumptions:

*User funnel:*

  • New free sign-ups per month - start at ~2,000/mo, grow 15% MoM in Y1 as referral loop and SEO kick in; rationale: early-stage SaaS with strong influencer advisor network but no paid UA history
  • Free→PRO conversion rate - 5–8%; rationale: typical freemium SaaS range; product has a clear upgrade hook (analytics depth, verified badge)
  • Monthly churn on PRO - 3–5%; rationale: creator tools see moderate churn due to seasonal campaign activity

*Pricing:*

  • PRO ARPU: $19/month
  • No enterprise or annual tier modelled (not in deck); flag as upside scenario

*Revenue:*

  • MRR = Active PRO subscribers × $19
  • Gross margin - 75–80%; rationale: pure SaaS, primary COGS = API costs (social platform data pulls) + hosting; no content or fulfilment cost

*Cost structure:*

  • Headcount: 6 product/tech team members visible; ~$600K–$800K Y1 fully-loaded team cost
  • S&M: heavy Y1 given "initial user acquisition" is an explicit use-of-funds item; model at 40–50% of gross revenue Y1, declining as organic/SEO scales
  • R&D: ~30% of revenue Y1, declining to ~20% by Y3
  • G&A: ~15% Y1 (legal noted as use of funds)

*Capital:*

  • Starting cash: $1MM raise
  • Runway target: 18–24 months; standard seed expectation

Scenarios (Base / Bull / Bear - which variables flex):

  • Bear: conversion 3%, churn 6%, sign-up growth 8% MoM - runway exhausted ~15 months
  • Base: conversion 5%, churn 4%, sign-up growth 15% MoM - breakeven Month ~30, Series A needed ~Month 18
  • Bull: conversion 8%, churn 2.5%, sign-up growth 25% MoM + brand-side revenue layer opens in Y2 - positive FCF by end of Y3

Primary flex variables: free sign-up volume, free→PRO conversion rate, churn, and timing of any B2B (brand discovery / data licensing) revenue layer.

Required sheets / outputs:

  1. Assumptions - all drivers in one editable panel
  2. User Cohort Model - monthly free sign-ups → PRO conversions → churn waterfall
  3. P&L (monthly Y1–Y2, quarterly Y3–Y5) - Revenue, Gross Profit, OpEx (S&M / R&D / G&A), EBITDA
  4. Cash Flow & Runway - starting balance, monthly burn, months-to-zero, Series A trigger flag
  5. KPI Dashboard - MRR, ARR, Active PRO subscribers, conversion rate, churn rate, LTV, CAC (assumed), LTV:CAC ratio
  6. Scenario toggle - Base / Bull / Bear switchable from Assumptions sheet

Frequently asked

Is the MediaKits financial model free?+

Yes. The MediaKits 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 MediaKits'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.

Every model here is one I’d actually use for a client, and I personally vet each one before it goes up.

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.

Having a template library on hand cuts a first build from hours to minutes.

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