MIMine Financial Model
Enterprise/Security Startup Financials (Free Excel Download)
Consumer data-privacy assistant that scans your email inbox to map your digital footprint and automates GDPR/CCPA deletion requests to companies.
professionals from Deloitte
Used by professionals from
About this model
Mine is a consumer privacy assistant that scans a user's email inbox to map their digital footprint and automate GDPR and CCPA deletion requests. It is designed to make the personal-data relationships hidden in inboxes more visible and actionable.
The product begins as a consumer freemium service, with a B2B privacy platform under development. That dual-sided ambition means user trust and consumer acquisition matter at first, while business-facing privacy tools could later create a separate recurring-revenue engine.
The model treats consumer and B2B economics separately: users, activation, paid conversion, and support costs for the consumer layer; customer wins, ACV, and retention for SaaS. Privacy operations, product investment, and acquisition spend drive the cash runway.
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 Mine
mine.nl
How to build a detailed financial model for Mine
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Mine model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Smart Data Assistant (branded "Mine"): scans email subject lines (not email content) to identify all companies that have collected a user's personal data
- Generates a personalised digital footprint map across categories: Financial, Identity, Online Behaviour, Social Network
- Automates GDPR/CCPA deletion ("right to be forgotten") requests on behalf of users
- Individual Risk Score based on proprietary ML/NLP algorithms; Value Level Score (VLS); continuous footprint discovery
- Vision: "dynamic consent" on the consumer side; "Enriched Requests" standard for enterprises to process privacy requests faster
- No behaviour change required; fits mainstream (non-tech-savvy) users
Market
- No explicit TAM/SAM/SOM figures in deck.
- Context provided: US data breach victims running into hundreds of millions; 1B+ records exposed in US alone, 160M+ SSNs
- Privacy regulations spreading globally: GDPR, CCPA, PIPEDA, LGPD, PDPA Singapore, OAIC Australia, ICO DPA UK, India, Argentina, Nevada/NY/Texas/DC laws
- Framing: substantial shift in data power from companies toward consumers underway
Revenue model
- B2C - Freemium: product free to end users; no paid tier pricing disclosed; described as "still free until EOY 2020"
- B2B - "Enriched Requests" SaaS: sell to companies to help them process incoming consumer privacy requests faster via a standardised API/platform; described as "in beta phase" at time of deck
- No pricing (B2C premium tier or B2B seat/request fees), no ARPU, no ACV figures disclosed.
Traction & metrics
All figures as of ~September 2020 (8 months post-launch, official launch 21 January 2020):
- >100,000 sign-ups - "mostly organic"
- >1,000,000 deletion requests sent to companies
- ~28% conversion rate from site visitor to sign-up - "6x higher than industry benchmark"
- 15,000 users saved from a potential data breach ("Epic Save")
- 40%–60% reduction in users' online data exposure
- Accumulative signups grew 2x every cohort during COVID period (Dec 2019–Sep 2020) - y-axis values blurred/confidential in image
- Product Hunt: #1 Product of the Day (Jan 22, 2020), #1 Product of the Week, #2 Product of the Month; 4,352 upvotes
- Zero revenue disclosed (product free at time of deck)
Competition / moat
- Moat described as tech + product:
- Individual Risk Score (proprietary ML/NLP)
- Footprint Continuous Discovery
- Value Level Score (VLS)
- Privacy Policy Analysis
- Mainstream UX - no behaviour change required
- Regulatory tailwind: GDPR/CCPA enforcement gives legal weight to user requests
- No competitive landscape slide or named competitors in deck
Team & funding ask / use of funds
- Gal Golan - Co-Founder & CTO; background at SalesPredict, Microsoft
- Gal Ringel - Co-Founder & CEO; background at Verizon Ventures, Nielsen; Forbes 30 Under 30
- Kobi Nissan - Co-Founder & CPO; background at INSEAD, King, Accenture
- 16 employees at time of deck
- Raised $3M in total; investors: Battery Ventures, Saban Ventures, Intel Ignite
Recommended financial model
Archetype + why: Dual-stream freemium + B2B SaaS model. The near-term driver is B2C user growth (free, leading to eventual premium conversion); the medium-term revenue driver is B2B SaaS (Enriched Requests). Model should capture both streams separately, with B2C as the user acquisition funnel that feeds B2B pipeline credibility. Closest archetypes: consumer freemium → premium conversion waterfall (B2C arm) + ARR SaaS model (B2B arm).
Forecast horizon & granularity:
- Monthly for Year 1–2 (product is pre-revenue; monthly granularity needed to track user growth and conversion inflection)
- Quarterly for Years 3–5
- Total horizon: 5 years
Key drivers & assumptions:
*B2C - User funnel:*
- Monthly new sign-ups (starting base: ~100K cumulative at Sep 2020); growth rate post-deck
- Site visitor → sign-up conversion: 28%
- Free → premium conversion rate
- B2C premium ARPU / month
- Monthly churn on premium subscribers
*B2B - Enriched Requests SaaS:*
- B2B launch date
- Number of enterprise/SMB clients
- B2B ACV / seat pricing
- B2B logo churn
- Revenue per privacy request processed
*Costs:*
- Headcount: 16 employees at deck date;
- Avg fully-loaded cost per employee
- Cloud / infrastructure costs
- S&M:
- R&D:
*Balance sheet / cash:*
- Cash raised: $3M; burn rate
- Runway
Scenarios (Base / Bull / Bear - which variables flex):
- Base: 28% visitor-to-signup sustained; B2C premium conversion 3%; B2B ARR ramp begins Q1 2021; 20 B2B clients by end Y1
- Bull: COVID privacy awareness sustains elevated sign-up growth; B2C conversion 5%; B2B 50 clients Y1 at higher ACV; regulatory enforcement tightens and drives enterprise urgency
- Bear: Growth decelerates sharply post-COVID; B2C monetisation delayed to 2022; B2B sales cycle long (6–12 months); cash runs out without raise; user fatigue on privacy tools
Required sheets / outputs:
- Assumptions - all drivers, toggleable by scenario
- B2C Funnel - monthly visitors → sign-ups → free MAU → premium subscribers → MRR
- B2B ARR - client adds, churn, ACV, ARR bridge
- P&L - Revenue (B2C + B2B), Gross Profit, Opex (R&D / S&M / G&A), EBITDA, Net Income
- Headcount Plan - by department, cost build
- Cash Flow & Runway - monthly burn, cash balance, months of runway
- KPI Dashboard - Total sign-ups, MAU, premium subs, B2B clients, ARR, burn, runway
Frequently asked
Is the Mine financial model free?+
Yes. The Mine 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 Mine'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
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.
Need help finding your model? You’ll find me in the Finamodel app!
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