Vitalis Group SA Business Plan › Section 4 › Market & Customer Segmentation

4.1 Total, Serviceable and Obtainable Markets

Vitalis assesses the South African opportunity using a Total
Addressable Market (TAM), Serviceable Available Market (SAM) and
Serviceable Obtainable Market (SOM) framework. The TAM represents the
entire industry premium pool across the regulated segments in which the
Company will operate; the SAM is restricted to LSM 5–10 customers in
metropolitan and secondary centres; the SOM is the market share the
Company realistically expects to capture in the medium term.

4.2 Customer Segmentation Model

Vitalis segments the South African market using a hybrid framework
that combines Living Standards Measure (LSM), life stage, behavioural
profile and digital affinity. The combination yields seven priority
customer personas, of which four are addressed at launch and three are
added in Years 2 and 3.

Figure 4.1

4.3 Priority Customer Personas

The four launch personas anchor the Company’s product design, pricing
and distribution choices.

Persona 1 — “The Aspiring Professional” (LSM 7–8)

• Demographics: 28–38 years old; tertiary-educated; salaried;
  metropolitan; smartphone-dependent.
• Income: ZAR 25,000 – 55,000 per month.
• Insurance gap: Funeral cover only; no life insurance; basic
  motor; minimal health.
• Triggers: Marriage; first child; first home purchase; vehicle
  finance.
• Channels: Mobile-first; comfortable with digital onboarding;
  receptive to broker advice for advice-led products.

Persona 2 — “The Established Family” (LSM 8–9)

• Demographics: 38–55 years old; two earners; suburban; financially
  literate.
• Household income: ZAR 65,000 – 180,000 per month.
• Insurance gap: Often over-served on life cover; under-served on
  integrated wealth and short-term; pain points on claims
  experience.
• Triggers: Children at private school/university; ageing parents;
  estate planning.
• Channels: Combination of broker and digital; high responsiveness
  to bundled and shared-value propositions.

Persona 3 — “The Emerging Middle” (LSM 5–6)

• Demographics: 25–45 years old; entry-level salaried or informal
  economy; township and small-town residence; mobile-only.
• Income: ZAR 8,000 – 22,000 per month.
• Insurance gap: Wide — typically only funeral cover (often
  duplicated) and possibly credit life.
• Triggers: Vehicle acquisition; first formal employment; access to
  retail credit.
• Channels: Retailer-embedded; mobile network operator
  partnerships; community-based distribution.

Persona 4 — “The High-Net-Worth Individual” (LSM 10)

• Demographics: 40–65 years old; senior corporate / business owner
  / professional; high digital sophistication.
• Income: ZAR 200,000+ per month, plus business interests.
• Insurance gap: Often fragmented across multiple providers;
  under-served on integrated wealth, life and global cover.
• Triggers: Sale of business; offshore investments; succession
  planning.
• Channels: Private banker / financial planner; concierge service
  essential.

4.4 Geographic Targeting

Vitalis will target growth disproportionately in Gauteng, the Western
Cape and KwaZulu-Natal — the three provinces that together account for
63.7% of national GDP and a higher share of formal-sector employment and
bank account penetration. Provincial targeting also reflects the
geography of the Company’s broker, partner and physical branch
network.

Figure 4.2

4.5 Customer Base Build

The Company expects to grow its active customer base from
approximately 18,000 at the end of Year 1 to 367,000 by the end of Year
5, with the strongest year-on-year growth occurring in Years 2 to 4.
Growth is layered by product line, reflecting the natural cross-sell
sequence: insurance first, banking second, investments third.

Figure 4.3

4.6 Customer Lifetime Value (CLV) Economics

Vitalis models customer economics on a cohort basis. The base-case
CLV calculations for each launch persona are summarised below. CLV is
defined as the present value of expected gross margin contribution over
a 10-year horizon, discounted at 12.5%.

4.7 Distribution-Channel Customer Mix

The Company explicitly designs each persona to be reached via the
channel most economic for that persona. The matrix below shows the
expected Year-5 customer distribution by primary acquisition
channel.

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