Nimbus Direct Insurance Business Plan › Section 6 › Business Model

6.1 Value-Creation Logic

Nimbus’s business model is a digitally-native direct insurance
platform whose economics rest on four reinforcing levers:

• Distribution cost advantage — by eliminating
  broker commissions (typically 12.5–17.5% of GWP in personal lines) and
  substituting a digital + tied-call-centre acquisition model, Nimbus
  targets an acquisition cost ratio of approximately 7–9% of GWP at steady
  state.
• Pricing precision advantage — Nimbus’s
  underwriting models incorporate richer, more current data than legacy
  competitors, enabling tighter risk segmentation and self-selecting
  customer mix that improves the loss ratio by 3–5 percentage points
  relative to industry average.
• Operating cost advantage — cloud-native
  infrastructure, microservice architecture, and aggressive process
  automation enable a target operating expense ratio of approximately 14%
  of GWP at scale, compared to industry averages of 19–22%.
• Retention advantage — the Reserve mechanism
  combined with NPS-driven service design extends the average customer
  tenure from an industry benchmark of 3.0 years to a target of 4.0 years,
  raising customer lifetime value by approximately 33%.

6.2 Revenue Streams

Nimbus’s primary revenue source is gross written premium across the
lines described in Section 5. Secondary revenue streams include:

• Investment income from the policyholder funds and shareholder
  capital (target gross yield of 7.5% pre-tax, in line with current South
  African money-market and short-duration bond yields).
• Commission and fee income from partner-distributed value-added
  products (legal expense cover, roadside assistance, breakdown cover)
  underwritten by panel partners.
• Inter-company reinsurance and platform-licensing fees from the
  Botswana subsidiary (from Year 3 onwards).

6.3 Revenue Composition by Segment

6.4 Unit Economics

Unit economics at steady state are summarised below. The LTV/CAC
ratio of 6.5× compares favourably to the SaaS-economy benchmark of 3.0×
and to insurance-industry benchmarks of 4–5×, reflecting the operational
discipline expected of a direct insurer with strong retention
mechanics.

Figure 6.1

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