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Benchmarking framework with peer set selection, KPI definition, data normalization, gap analysis, improvement prioritization, and target-setting methodology.

Your AI will produce a benchmarking framework: peer set selection methodology, KPI selection and definition, data normalization approach, gap analysis, improvement prioritization, and target-setting methodology.

Unit economics framework with CAC/LTV analysis, cohort retention curves, margin waterfall, scaling economics, and breakeven modeling.

Your AI will produce a unit economics analysis: CAC and LTV calculation framework, cohort retention curves, payback period analysis, margin waterfall by segment, scaling economics, and breakeven modeling.

Revenue and cost synergy sizing for M&A with bottom-up methodology, implementation costs, phasing timeline, confidence weighting, and tracking framework.

Your AI will produce an M&A synergy model: synergy categories with bottom-up sizing, implementation cost estimates, phasing timeline, confidence-weighted estimates, and a realization tracking framework.

Cost reduction strategy with cost baselining, benchmarking, lever identification (eliminate/automate/outsource/optimize), implementation waves, and savings tracking.

Your AI will produce a cost transformation plan: cost baseline by category, peer benchmarking, reduction levers with sizing, implementation waves, savings tracking framework, and organizational impact assessment.

Pricing strategy with value-based analysis, willingness-to-pay estimation, competitive positioning, price architecture design, and margin impact modeling.

Your AI will produce a pricing strategy: value-based pricing analysis, willingness-to-pay estimation, competitive pricing landscape, price architecture (tiers/bundles), implementation plan, and margin impact modeling.

Market sizing using top-down and bottom-up approaches with assumption trees, data triangulation, segmentation overlay, and confidence ranges.

Your AI will produce a market sizing analysis: top-down and bottom-up estimates, explicit assumption trees, data triangulation, growth projections, segmentation overlay, and confidence ranges.

Full business case with investment summary, cost-benefit analysis, NPV/IRR/payback structure, assumptions register, and sensitivity ranges.

Your AI will produce a business case: investment summary, cost-benefit analysis, NPV/IRR/payback calculation framework, explicit assumptions register, sensitivity ranges, and approval-ready decision framework.