Vitalis Group SA — Financial Plan: Methodology & Key Assumptions

The financial-modelling methodology and the key macroeconomic, operating, underwriting and growth assumptions underpinning the five-year financial plan.

Vitalis Group SA Business PlanSection 15 › Financial Plan: Methodology & Key Assumptions

Section 15 · Business Plan

Financial Plan: Methodology & Key Assumptions

The financial-modelling methodology and the key macroeconomic, operating, underwriting and growth assumptions underpinning the five-year financial plan.

The Company has constructed a fully integrated five-year financial
model, which underpins the P&L, balance sheet, cash flow statement,
capital plan, and investor return analysis presented in Sections 16
through 20. This section describes the methodology, the principal
assumptions, and the sensitivity boundaries that govern those
projections. The model has been independently reviewed by the Company’s
prospective audit partner for internal consistency and against industry
benchmarks.

15.1 Modelling Approach

The model is a driver-based, monthly-resolution operating model
rolled up to quarterly and annual reporting periods. Each product line
is modelled separately, with the following standardised stack: (i)
policy count build (new business plus persistency); (ii) gross written
premium per policy; (iii) claims emergence pattern by product cohort and
policy age; (iv) reinsurance recoveries on a treaty-specific basis; (v)
direct acquisition costs (broker commission, digital
cost-per-acquisition, agent compensation); and (vi) allocated overhead.
The behavioural rewards economics flow through as a separate cost line
and as a claims-frequency reduction factor calibrated to Discovery
Vitality’s published evidence base.

15.2 Macroeconomic Assumptions

Macroeconomic inputs are sourced from the South African Reserve Bank
quarterly bulletin, National Treasury Medium-Term Budget Policy
Statement projections, and consensus forecasts from the Bureau for
Economic Research. Sensitivities are presented in Section 19.

Indicator Year 1 Year 2 Year 3 Year 4 Year 5
Real GDP growth (%) 1.4 1.7 1.9 2.1 2.2
Headline CPI (%) 4.8 4.5 4.5 4.5 4.5
Repo rate (%, period-end) 7.50 7.25 7.00 7.00 7.00
ZAR/USD (period avg) 18.50 18.90 19.40 19.85 20.30
Long bond yield (R2030, %) 10.20 9.80 9.60 9.40 9.30
Equity return (JSE Top 40, %) 11.0 11.5 12.0 12.0 12.0
Medical inflation (%) 8.5 8.0 7.8 7.5 7.5
Employment growth (%) 1.0 1.2 1.4 1.6 1.7

15.3 Customer and Premium Assumptions

Customer growth follows the four-phase ramp described in Section 4.6
and Section 14. New business volumes are tied to channel capacity
(digital marketing investment, broker count, tied-agent productivity,
embedded partner integrations). Average premiums reflect product mix,
with progressive mix shift toward higher-value products as the franchise
matures.

Driver Year 1 Year 2 Year 3 Year 4 Year 5
Total customers (‘000, period-end) 18 72 168 268 367
New customers added (‘000) 18 54 96 100 99
Annual persistency (%) 92.0 93.5 94.5 95.0 95.5
Avg annual premium per cust. (R) 8,400 10,200 11,800 12,900 13,600
Avg products per customer 1.20 1.45 1.70 1.95 2.20
Customer acquisition cost (R) 850 780 720 680 640
Marketing spend (R million) 85 160 220 240 255
Tied advisers (FTE) 40 180 380 520 620
Active brokers 85 320 780 1,250 1,650

15.4 Claims and Loss-Ratio Assumptions

Claims assumptions are calibrated to South African industry
experience by product line, adjusted for the Company’s underwriting
discipline and the behavioural-incentive frequency reduction. Loss
ratios improve over the projection period as the book matures,
behavioural data refines pricing, and reinsurance terms tighten.

Loss Ratio by Line (Gross, %) Year 1 Year 2 Year 3 Year 4 Year 5
Health (medical-gap & primary) 78 74 71 69 67
Life — risk products 52 48 45 43 42
Motor 74 70 67 65 63
Property (home) 58 55 53 52 51
Group risk 68 64 60 58 56
Behavioural-reward credit (pp) -3.0 -3.5 -4.0 -4.5 -5.0

Loss ratios shown gross of reinsurance recoveries. The
behavioural credit reflects observed claims-frequency reduction among
Active and Champion-status members and is an output of, not an input to,
individual line ratios.

15.5 Reinsurance Strategy and Net-of-Reinsurance Economics

The Company will cede premium under quota-share and surplus treaties
as described in Section 6. The reinsurance programme is structured to
provide regulatory capital relief and earnings volatility protection
during the build phase. As scale and data depth grow, the Company
progressively retains more risk on its balance sheet, increasing net
premium retention from 55% in Year 1 to 71% by Year 5.

Cession Rates (% Gross Premium) Year 1 Year 2 Year 3 Year 4 Year 5
Health quota-share 50 45 40 35 30
Life quota-share 50 45 40 35 30
Motor & property quota-share 35 30 28 25 22
Catastrophe XL retention (R million) 15 20 25 30 40
Reinsurance commission (% ceded) 24 24 25 25 26
Net retention (% gross) 55 60 64 68 71

15.6 Operating Expense Assumptions

Operating costs are split into fixed (technology, occupancy,
executive and central functions) and variable (acquisition,
distribution, claims handling, customer service, rewards funding). The
plan reflects deliberate front-loading of technology and brand
investment in Years 1 and 2 to build a scalable, low-marginal-cost
platform.

Cost Category (R million) Year 1 Year 2 Year 3 Year 4 Year 5
Staff costs 180 320 480 610 720
Technology and platform 210 195 180 170 165
Marketing and brand 85 160 220 240 255
Distribution (commission, paid out) 32 125 320 510 690
Rewards funding (net of partner subs.) 12 48 110 170 230
Claims handling and assessing 8 32 88 142 188
Occupancy and general 38 52 68 78 85
Professional and regulatory 32 38 42 46 50
Reinsurance brokerage (net of comm.) 4 12 24 36 48
Total operating expenses 601 982 1,532 2,002 2,431

15.7 Capital and Investment Assumptions

  • Initial paid-up capital: R1.0 Billion injected
    at financial close, with a further R600M targeted in a Series B raise at
    the start of Year 4 (Month 36).
  • Investment portfolio: Surplus and reserve assets
    are invested in line with the asset-liability matching policy described
    in Section 10.4, generating a blended pre-tax investment yield of 9.4%
    in Year 1, declining gradually to 8.8% by Year 5 as the cash component
    reduces.
  • Capex schedule: Total capital expenditure of
    R780M over five years, of which R520M relates to platform build and
    licensing, R140M to office and infrastructure, and R120M to subsequent
    enhancements. Amortisation profile of 5–7 years for software, 10 years
    for leasehold improvements.
  • Working capital: Receivables turn at 28 days,
    payables at 35 days, premium-debtor days at 32 days at maturity.
    Insurance liabilities (unearned premium and outstanding claims reserves)
    are driven by formulaic relationships to written premium and claims
    emergence patterns.
  • Effective tax rate: Corporate income tax
    modelled at the statutory 27% rate. The Company expects to be tax-paying
    from Year 4 onwards; prior-year assessed losses provide partial
    shielding into Year 5.

15.8 Scenario Definitions

Three scenarios are presented in this plan: Base Case (the central
estimate, used throughout Sections 16–18); Upside Case (faster customer
growth, better persistency, lower loss ratios); and Downside Case
(slower customer growth, higher CAC, elevated loss ratios in Years 2–3).
Scenarios are not stochastic — they are coherent integrated runs of the
operating model with named driver changes specified in Section 19.

Confidential — this business plan is provided to prospective investors and lenders for evaluation purposes only and may not be reproduced or distributed without the written consent of Vitalis Group South Africa (Pty) Ltd.