Wedded Wonderland: the life events commerce OS.
A valuation-led blueprint with financial inputs, product roadmap, and GTM execution to scale into a multi-billion platform for weddings, proposals, honeymoons, and milestone celebrations.
2028 valuation
$1.0B
Base case
2032 valuation
$5.1B
Base case
Life events mix
35%
Non-wedding GMV
Gross margin
75%
2032 target
Product portfolio
Four engines that compound together
Life Events OS
CoreOne operating system for every celebration
- Weddings, proposals, honeymoons, birthdays
- Unified planning, booking, and payments
- Repeatable annual engagement and retention
Vendor OS
CoreThe operating system for celebration businesses
- Leads, CRM, proposals, contracts
- Pricing intelligence and demand signals
- Performance analytics and automation
Marketplace + Payments
CoreTrust, escrow, and conversion infrastructure
- Standardized booking and deposits
- Escrow, installment plans, disputes
- Take rate expansion through value add
Data + AI
CoreThe compounding moat
- Pricing benchmarks and heatmaps
- Agentic workflows for vendors and consumers
- Model-agnostic, data-first architecture
Valuation model
Revenue inputs and valuation bridge
Base case inputs in USD millions. Valuation is modeled as revenue x multiple and will change with growth, margin, and market conditions.
FY2026
$86M valuation
Base case
FY2028
$1.0B valuation
Base case
FY2032
$5.1B valuation
Base case
| Year | GMV | Take rate | Vendor SaaS | Consumer subs | Ads | Data/AI | Total |
|---|---|---|---|---|---|---|---|
| 2026 | $84M | $6.7M | $2.5M | $1.2M | $0.4M | $0M | $10.8M |
| 2027 | $240M | $21.6M | $7M | $3M | $1.2M | $0.2M | $33M |
| 2028 | $765M | $76.5M | $18M | $6M | $2.5M | $0.8M | $103.8M |
| 2029 | $1.62B | $170M | $35M | $10M | $6M | $2M | $223M |
| 2030 | $2.85B | $313.5M | $60M | $18M | $10M | $4M | $405.5M |
| 2031 | $5B | $575M | $90M | $30M | $15M | $7M | $717M |
| 2032 | $7B | $840M | $110M | $40M | $20M | $10M | $1.02B |
Implied valuation
Multiples compress as revenue scales. Use as directional guidance.
| Year | Multiple | Valuation |
|---|---|---|
| 2026 | 8x | $86.4M |
| 2027 | 8x | $264M |
| 2028 | 10x | $1.04B |
| 2029 | 8x | $1.78B |
| 2030 | 7x | $2.84B |
| 2031 | 6x | $4.3B |
| 2032 | 5x | $5.1B |
Margin expansion
Cost of revenue declines as payments scale and AI inference costs normalize.
| Year | Gross margin | EBITDA % |
|---|---|---|
| 2026 | 60% | -30% |
| 2027 | 65% | -12% |
| 2028 | 70% | 6% |
| 2029 | 72% | 15% |
| 2030 | 73% | 23% |
| 2031 | 74% | 29% |
| 2032 | 75% | 34% |
Capital plan
Expect negative EBITDA through FY2027. Plan $12M to $20M in cumulative funding to finance GTM and AI infrastructure, then reinvest gross margin into growth.
Break-even
FY2028
EBITDA positive
Take rate
12%
By FY2032
Product roadmap
Phase-driven execution
Phase 1
2026Liquidity and trust
- Booking and payments for top 5 categories
- Vendor OS core with CRM and proposals
- AI planner v1 with timelines and matching
- Reviews, verification, and escrow workflows
Phase 2
2027-2028Scale and automation
- Vendor OS v2 with contracts and automation
- Dynamic pricing signals and lead scoring
- Proposal and honeymoon planning modules
- Data products and enterprise venue groups
Phase 3
2029-2032Platform and adjacency
- Embedded payments and marketplace APIs
- International expansion and localization
- Financing, insurance, and post-event services
- Life events lifecycle and personalization
GTM plan
Go-to-market engine
Supply first
GTMSecure premium vendors in 5-8 launch markets and guarantee lead quality.
- Inside sales for anchor vendors
- Vendor success onboarding in 14 days
- Co-marketing packages to prove ROI
Demand capture
GTMOwn search intent with city-level content across life events.
- Wedding, proposal, honeymoon, birthday pages
- Editorial celebration guides and video
- Referral loops for consumers and vendors
Conversion engine
GTMStandardize booking and payment flows to expand take rate.
- Escrow, deposits, installment plans
- Dispute resolution and trust scores
- Conversion uplift experiments
Partnerships
GTMLeverage venues, hotels, and travel partners for scale.
- Venue groups and hotel chains
- Travel and destination partners
- Insurance and financing bundles
Future proof moat
AI-native from day one
Model-agnostic infrastructure and a proprietary dataset protect the core business as AI models evolve.
- Marketplace liquidity with two-sided network effects
- Vendor OS switching costs and workflow lock-in
- Proprietary pricing and demand dataset
- AI-native planning and operations layer
Execution lens
Data, trust, and automation compound.
Every booking strengthens the marketplace flywheel and improves AI planning quality.
Execution
Turning the plan into momentum
Align product, GTM, and capital around a tight sequence of milestones to avoid complexity creep.