Caura Financial Model
InsurTech Startup Financials (Free Excel Download)
Mobile app that aggregates all car-related payments (parking, congestion/ULEZ, tolls, tax, insurance) into a single platform, with insurance comparison as a key monetisation layer.
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About this model
Caura is a mobile app for managing car-related payments including parking, tolls, congestion charges, tax, and insurance comparison. It aims to make a fragmented set of driving obligations as simple as one connected wallet.
The product had shipped an iOS MVP, secured seven insurance partners, and obtained an FCA license. Its likely revenue comes from insurance-switch referral commissions and transaction margin or convenience fees on car payments rather than a recurring subscription.
The model is a transaction and referral build. Active drivers, payments per driver, payment value, transaction margin, insurance quotes, switch conversion, and CPA determine revenue. Partner economics, payment costs, app acquisition, and repeat use drive contribution margin.
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 Caura
caura.com
How to build a detailed financial model for Caura
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Caura model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Single app to manage and pay for all car-related obligations: parking, Congestion Charge, ULEZ, tolls (Dart Charge), road tax (VED), MOT reminders, and insurance comparison.
- Described as "Citymapper for your car".
- Payments via Apple Pay, in-app; real-time confirmation.
- Roadmap: Siri / voice ("Hey Siri, park my car"), geo-triggered payments, Apple CarPlay / Android Auto integration.
- 7 insurance partners secured at time of deck.
- FCA licence obtained.
Market
UK motor insurance market:
- Motor premiums: £12BN
- Policies underwritten: 31.1M
- Aggregator / PCW revenue (UK): £1.2BN
- UK PCW market size grew from £1,235M (2007) to £5,145M (2016E) at +17% p.a.
European PCW market sizes (% of GWP in brackets):
- Germany (40%): €1,134M by 2016E, +16% p.a.
- Italy (47%): €789M by 2016E, +58% p.a.
- France (30%): €336M by 2016E, +15% p.a.
- Spain (24%): €470M by 2016E, +32% p.a.
- Netherlands (10%): €141M by 2016E, +9% p.a.
No explicit TAM/SAM/SOM breakdown for the full payments platform beyond insurance. Parking fine market context: local authorities made £820M profit from parking fines (2016/17); 5.65M private parking tickets issued (2017).
Revenue model
Deck does not state explicit revenue model, fee structure, or take-rate. Inferred from product and market context:
- Insurance referral / CPA commissions: user switches insurer via Caura; Caura earns a referral fee from the chosen insurer. Standard UK PCW model.
- Transaction facilitation for parking, tolls, CC/ULEZ, VED: potential transaction margin or convenience fee on each payment processed.
- No subscription fee or freemium tier mentioned in deck.
Traction & metrics
- MVP (iOS) shipped.
- 7 insurance partners signed.
- £1.3M raised (over-subscribed bridge round).
- No revenue, GMV, user count, DAU/MAU, or transaction volume figures disclosed.
Competition / moat
- Problem framed as extreme fragmentation: 10+ parking apps, 5+ insurance PCWs, multiple statutory charge portals, each requiring separate sign-up.
- Named competitors: PayByPhone, MiPermit, RingGo, Dash, Parkmobile, ParkRight, MoneySuperMarket, GoCompare, uSwitch, comparethemarket, Confused.com.
- Moat implied: single sign-on / one wallet for all car costs; CarPlay/Android Auto integration as a channel differentiator; FCA licence as regulatory barrier.
- FT cited re: CMA concern that PCW sites may inflate premiums - deck positions Caura as addressing this.
Team & funding ask / use of funds
Team:
- Sai Lakshmi - CEO & Founder. Prior: Echo (acquired Jun-19 by McKesson/LloydsPharmacy). Background: Apple, Armapartners, Bain & Company. Education: Oxford, Imperial.
- Shaun Foce - Director of Engineering. Prior: Sainsbury's, ASOS, Key Telematics. +5 direct reports.
- Chris Tingley - Director of Product. Prior: Conjure, TfL, Jaguar, Ford GT, McLaren. +1 direct report.
- Bhavin Kotecha - Chief of Staff / Finance Director. Prior: Public, BMW, PwC. Education: Southampton.
- Alan Hickman - Director of Insurance. Prior: LV=, RSA, AXA.
- Toby Astor - Investor / Director. Prior: Jaguar Land Rover, Goldman Sachs. Education: Imperial, London Business School.
- David Tovar - Investor / Director. Prior: Bulb, Exane. Education: LSE, Merrill Lynch / Bank of America.
Funding:
- Total raised to date: £1.3M (over-subscribed round, EIS-eligible).
- Use of funds (prior round): Product & Eng 60%, Marketing 20%, Brand & website 10%, Legal 8%, Contingency 2%.
- Deck purpose appears to be a bridge / continuation raise (Covid-19 bridge noted as in-progress milestone).
- No explicit ask size stated in deck.
Recommended financial model
Archetype + why: Payments aggregator + insurance PCW hybrid. Primary revenue is referral/commission (per-policy CPA for insurance switches) plus a per-transaction margin on parking/tolls/VED payments. Best modelled as a transaction-volume / GMV model with blended take-rate, layered with an insurance CPA revenue line. Not a SaaS ARR model (no subscription). Not a marketplace with supply-side costs.
Forecast horizon & granularity:
- 3 years (2021–2023), monthly for Year 1, quarterly for Years 2–3.
- Early stage: model should be driver-based from registered users → active users → transactions per user → revenue per transaction.
Key drivers & assumptions:
*User acquisition:*
- Registered users at launch: 0; ramp from marketing spend post-raise.
- Monthly user growth rate (Y1): 10–20% MoM early (typical for funded consumer fintech launch); taper to 5% by Y2.
- Marketing spend as % of raised capital: 20% per prior round allocation.
- CAC: £5–15 (UK fintech consumer app benchmark; no deck data).
*Engagement:*
- Monthly active rate (MAU / registered): 40–60% (typical app cohort).
- Transactions per MAU per month: 2–4 (parking dominant; insurance annual).
*Revenue per transaction:*
- Parking: £0.20–0.40 convenience fee or margin per transaction (UK norm for payment aggregators).
- Tolls / CC / ULEZ: £0.50–1.00 per transaction (smaller volume, higher charge value).
- VED (road tax): £0.50–1.50 per renewal.
- Insurance referral CPA: £30–60 per completed switch (UK PCW benchmark; GoCompare/MoneySuperMarket typical range); annual event per user.
*Market size anchor:*
- UK registered cars: ~33M (public data); 31.1M policies underwritten.
- Addressable registered users (realistic 3-year ceiling): 0.5–2% of UK car owners = 165K–660K users.
*Costs:*
- Engineering / product headcount: largest cost (60% of prior raise); 4–8 FTE at £60–80K average salary.
- Marketing: £150–300K/year in early years.
- Payment processing / partner fees: 0.5–1% of GMV passed through.
- FCA compliance / legal: £50–80K/year ongoing.
Scenarios (Base / Bull / Bear - which variables flex):
- Bear: slow user growth (5% MoM Y1), low engagement (30% MAU rate), low CPA (£30 insurance). Extends runway burn; no revenue breakeven in 3 years.
- Base: 12% MoM Y1 growth, 45% MAU rate, £40 insurance CPA, £0.25 parking take. Breakeven ~Month 30–36.
- Bull: viral / CarPlay channel drives 20%+ MoM growth; insurance CPA £55; parking take-rate expanded via B2B council contracts. Breakeven Year 2.
Required sheets / outputs:
- Assumptions - all drivers in one place with / flags.
- User funnel - registered → MAU → transactions by category (parking, tolls, VED, insurance).
- Revenue build - by revenue line (parking fees, toll fees, VED fees, insurance CPA).
- OpEx - headcount (by role), marketing, tech infrastructure, legal/compliance, G&A.
- P&L (monthly Y1, quarterly Y2–3).
- Cash flow & runway - critical given bridge-round context; show months of runway at current burn under each scenario.
- KPI dashboard - MAU, transactions/MAU, blended take-rate, CAC, LTV, LTV:CAC.
Frequently asked
Is the Caura financial model free?+
Yes. The Caura 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 Caura'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
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