# Aura Financial Model

All-in-one consumer "intelligent safety" subscription replacing fragmented point solutions for identity, device, WiFi, social, assets, and privacy protection.

- Canonical: https://finamodel.com/startups/aura
- Excel download: https://finamodel.com/startup-models/aura.xlsx
- Category: Consumer/DTC
- Model type: SaaS ARR / Valuation
- Funding round: Series F
- Funding: $200M
- Founded: 2022
- Geography: United States (references FBI, FTC data; US-centric threat framing).
- Customer: B2B

## About the company

Aura is a consumer intelligent-safety subscription that bundles identity, device, WiFi, social, asset, and privacy protection in one app. It replaces several fragmented point solutions with a single login, bill, and protection experience.

The direct-to-consumer plan costs $19.85 per month, materially below the cited cost of purchasing comparable tools separately. Its value proposition is simplification as well as a broad set of digital-protection benefits.

The model is consumer subscription ARR. Members, paid conversion, monthly price, family-plan or upsell potential, churn, and retention determine revenue. Identity-service costs, acquisition, claims or support, and subscriber engagement drive margin.

## What's included

- 5-year monthly revenue build with stage-appropriate growth assumptions
- Full P&L, headcount plan, and operating-expense schedule
- Cash-flow statement, runway, and burn-rate tracking
- Valuation via exit multiple with a DCF cross-check
- Returns analysis with MOIC and IRR
- Unit economics including CAC, LTV, payback, and cohort retention

## Product & value proposition

Aura bundles six protection categories - Identity, Device (antivirus/anti-malware), WiFi/VPN, Social (cyberbullying, social image, criminal record), Assets (home title, bank account, 401k), and Privacy (data removal, robocall blocking) - into a single app, login, and bill at $19.85/month. Competitors offering equivalent coverage piecemeal cost $76.90/month across 6 products, 6 bills, 6 logins. The product runs on web, mobile, desktop, and home network. The tech stack includes a proprietary ML/AI personalization engine fed by a data lake spanning VPN traffic, dark web, credit feeds, browsing data, DNS, public records, and IoT.

## Market

- TAM stated as $100B opportunity; no methodology or breakdown shown.
- Digital crime financial losses (US consumers): $0.9B (2017) → $1.5B (2018) → $1.9B (2019) → $3.3B (2020E); source: U.S. FTC 2020 Consumer Sentinel Report.
- Home burglary losses for comparison: $3.4B (2017), $3.4B (2018), $3.0B (2019), $2.7B (2020E); digital crime losses surpassed home burglary by 2020.

## Revenue model

- Model: Monthly subscription, direct-to-consumer.
- Price: $19.85/month (all-in plan). No annual pricing, tiered plans, or family plan pricing shown in deck beyond this single price point.
- Value anchor vs. alternatives: $76.90/month for 6 equivalent standalone products; Aura = ~74% discount.
- Channels: App (mobile, web, desktop); no channel partner / affiliate / employer channel disclosed.

## Competition / moat

- Named competitors (fragmented): CyberScout, InfoArmor, ID Watchdog, LifeLock, MyCleanPC, Malwarebytes, PC Matic, Private Internet Access, NordVPN, Norton, ExpressVPN, Bark, TruthFinder, Title Lock, Secure Title Lock, ManagerUrID, DeleteMe, OneRep.
- Moat claims: Proprietary ML/AI personalization engine; bundled data lake from own product usage (VPN traffic, credit feeds, dark web, etc.) creating data flywheel; automation reduces consumer decision-making burden; proactive vs. reactive posture.
- Positioning: "Intelligent Safety" category - distinct from "security/guard/shield" fear-based language of competitors.

## Recommended financial model

- **Archetype + why:** Consumer subscription SaaS (subscriber-based ARR model). Revenue is purely recurring monthly subscription at a fixed price point; churn, subscriber growth, and CAC payback are the core value drivers. A 3-statement model sits underneath to capture the cost structure (data/infra, sales & marketing, R&D, G&A).

- **Forecast horizon & granularity:** 5-year annual (Year 1–5), with Year 1 monthly for cash runway visibility. Monthly granularity important given subscription nature and likely high early CAC.

- **Key drivers & assumptions:**

| Driver | Value |
| -- | -- |
| Monthly subscription price | $19.85 |
| Competitor bundle price (context) | $76.90 |
| Monthly subscriber growth rate | 8–15% MoM early, tapering |
| Monthly churn rate | 2.0–3.5% |
| Blended CAC | $50–$120 |
| LTV (= ARPU / churn) | ~$567–$993 at 2–3.5% churn |
| LTV:CAC ratio | 5–8x target |
| Gross margin | 60–70% |
| S&M as % of revenue (early) | 40–60% |
| R&D as % of revenue | 15–25% |
| G&A as % of revenue | 8–12% |
| Annual digital crime loss growth (US market context) | ~54% CAGR 2017–2020 |

- **Scenarios (Base / Bull / Bear - which variables flex):**
  - *Base:* 10% MoM subscriber growth tapering to 3% by Y5; 2.5% churn; CAC $80.
  - *Bull:* 15% MoM growth tapering to 5%; 1.8% churn; CAC $60 (viral/referral upside, employer channel).
  - *Bear:* 6% MoM growth tapering to 2%; 4% churn; CAC $130 (paid-only, competitive market).
  - Primary flex variables: subscriber growth rate, churn, CAC.

- **Required sheets / outputs:**
  1. **Assumptions** - all drivers, scenarios toggle.
  2. **Subscriber Model** - beginning subscribers, new adds, churned, ending; MoM and YoY.
  3. **Revenue Build** - subscribers × $19.85 × 12; MRR and ARR.
  4. **P&L (Income Statement)** - Revenue, COGS, Gross Profit, S&M, R&D, G&A, EBITDA, Net Income.
  5. **Unit Economics** - CAC, LTV, LTV:CAC, payback period, cohort contribution margin.
  6. **Cash Flow** - Operating CF, capex (minimal), free cash flow, cumulative burn.
  7. **Balance Sheet** - simplified (cash, deferred revenue, equity).
  8. **Dashboard** - MRR, ARR, subscriber count, churn rate, LTV:CAC, runway.

## Frequently asked questions

### Is the Aura financial model free?

Yes. The Aura model is a free Excel download with live formulas.

### Can I change the assumptions?

Yes. The workbook is editable and its live formulas recalculate when assumptions change.