Confidential — Pitch Deck Economics

AI Proposal Engine for SA Real Estate

Market sizing · Unit economics · Revenue model · Lightstone deal frame

📊 Market Assumptions — Adjust the Inputs
PPRA database: ~40,000 active practitioners. Some estimates up to 60K incl. new categories.
30%
Agents who regularly produce listing proposals / CMAs
Mix of CMAs, listing presentations, auction packs
Research + comp analysis + formatting + review
Base salary + comm. draw + overhead. Avg agent earns R25-40K/mo base
75%
Automated research, data pull, formatting, draft generation
🎯 Market Opportunity — The Numbers
Addressable Agents
12,000
Active proposal-producing agents
Annual Proposals (Market)
1.15M
Proposals across addressable market
Annual Wasted Hours
3.46M hrs
Manual proposal creation time
Annual Wasted Cost (ZAR)
R1.21B
Industry-wide opportunity cost
AI-Recoverable Savings
R907M
Savings from AI time reduction
Per-Agent Annual Saving
R75,600
Direct value proposition
⚙️ Unit Economics Breakdown
Metric Value Notes
💰 Revenue Model — Per-Action Pricing (Not Per-Seat)
Starter
R49/proposal
For individual agents & small teams
  • Automated CMA generation
  • Lightstone data integration
  • PDF-ready output
  • Up to 20 proposals/month
—
Agency
R39/proposal
Volume discount for agencies (50+ /mo)
  • Everything in Starter
  • Brand-templated output
  • Automated email follow-up
  • Appointment scheduling agent
  • Agency analytics dashboard
—
Enterprise / Lightstone
R29/proposal
White-label + equity partnership
  • Full white-label integration
  • API access to all features
  • Dedicated support & SLA
  • Co-branded go-to-market
  • Revenue share model
—
📈 Revenue Scenario — Year 1 Penetration
5%
% of addressable agents acquired in Y1
Blended average across tiers
Token consumption + data API costs
Y1 Gross Revenue
—
Annual recurring revenue
Y1 Gross Margin
—
—
Y1 Paying Agents
—
Active users
LTV per Agent (12mo)
—
Revenue per agent per year
🤝 Seeff Deal Frame

Strategic Partnership — First-Mover Advantage

🏆

First-Mover / Head Start

Seeff gets exclusive 6-month head start before broader agency rollout. Their agent base gets the tool first, locking in brand loyalty.

📊

10–20% Equity Stake

In exchange for data access, distribution, and brand endorsement. Seeff becomes a strategic shareholder, not just a customer.

⏱️

6-Month Exclusivity Window

Tight exclusivity window creates urgency. After 6 months, broader agency rollout begins — Seeff agents already onboarded and trained.

🚀

Strategic Brand Upside

Lightstone evolves from "data provider" to "AI-powered agent productivity platform." Massive brand repositioning in a commoditising data market.

🧮 Cost Structure — Per Proposal
Cost Component Est. ZAR Notes
LLM Token Costs R3–5 GPT-4o / Claude — research + generation + review passes
Lightstone Data API R2–4 Property report pull, AVM, suburb data (negotiable with partnership)
Infrastructure / Hosting R0.50–1 Per-request compute, storage, CDN
Email / Scheduling Agent R0.50–1 Automated follow-up, appointment booking
Total COGS per Proposal R6–11 Blended estimate ~R8
Avg. Selling Price R39 Agency tier (primary target)
Gross Margin per Proposal ~R31 (79%) SaaS-grade margins
Model assumptions based on PPRA data, industry benchmarks, and Lightstone public information · March 2026
Confidential — For internal pitch preparation only