LIGHTHOUSE FOR ENERGY / REGIONAL RETAIL

Portfolio overview

Understand today’s economics. Rehearse tomorrow’s decisions.

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Retail customer portfolio / 763,000 customers / 48 cohorts
1 July 2026 → 31 Mar 2027
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Compare a Solar Sharer scenario

Estimate changes in bills, energy costs, workload and the modelled subsidy gap.

Rehearse a decision

The customer profitability curve

Customer groups ranked by margin per customer

PRE-SUBSIDY
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Margin through the period

All costs shown in the selected model scope

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One scenario, seven consequences

Solar Sharer uptake

Open scenario

Half-hourly position

Representative day: Mon 1 Mar 2027 · MWh

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Scenario loadBaselineHedge profile

What this answer depends on

The assumptions that could change the decision

01

Missing dependencyEQ confirmation of the CSO accounting formula

02

Smallest useful changeSet total AHT reduction to 3.47% (3.47 percentage points beyond the current control). Pinned CTS then lowers modelled service and acquisition cost by A$483,098.48, bringing contribution to −A$184,584,347.47 against the fixed baseline of −A$184,584,430.39. At 3.46%, contribution is still A$1,309.23 short. This is the minimum AHT-only result at 0.01-point resolution within the 90% bound; fixed staffing and wrap time are unchanged, and cash release requires a staffing decision.

03

Scenario sensitivityNeither of the two tested joint uptake, shift and price cases reverses the selected case's contribution direction; no reversal threshold was calculated.

Decision paper includes evidence limitations
  • CSO formula is not confirmed by EQ
  • modelled customer data is for scenario rehearsal only
  • Data pack acceptance check failed
Lighthouse for EnergyCalculation engine v0.4.0 · Lighthouse for Energy data 72m-v1Scenario analysis from stated assumptions