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Agora Financial Model

PropTech Startup Financials (Free Excel Download)

Agora automates operations for real estate investment firms - investment accounting, fundraising, CRM, investor reporting, portal, and data room in one platform.

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About this model

Agora automates investment accounting, fundraising, CRM, investor reporting, portals, and data rooms for real-estate investment firms. It gives general partners one system for managing operating workflows and the investor relationship, replacing fragmented finance and communication tools.

The company sells vertical SaaS to investment managers rather than individual investors. AUM on the platform is a useful secondary metric because it signals account scale, while its early-stage deck claims product-market fit and addresses a global real-estate investment market.

The model builds ARR from firm clients, ACV, modules, implementation, expansion, and churn. AUM per customer can be tracked alongside subscription revenue, while sales capacity, customer support, gross margin, and operating expenses determine the cash-runway forecast.

A turnkey financial model

Live formulas, no hardcoded values

Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.

All assumptions in one tab

Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.

Statements always balancing

For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.

Distinct schedules for clarity

Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.

No hidden macros or external links

There are no unexplained external workbook links or macros to undermine auditability or portability.

Changes flow through the model

Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.

About Agora

agora.io
Read the pitch deck
Agora pitch deck cover
View on makeslides.com
Total raised
$33.0M
Funding round
Seed
Founded
2020
Category
PropTech
Customer
B2B
Geography
Global

How to build a detailed financial model for Agora

A complete walkthrough of the business, drivers, and assumptions behind the downloadable Agora model - distilled from its pitch deck and publicly available information.

Product & value proposition

Six modules delivered as an integrated platform:

  1. Investment Management - automated investment accounting and investor balance tracking.
  2. Fundraising Automation - opportunity promotion, prospect interest tracking, e-signature collection for subscription agreements.
  3. CRM - purpose-built for real estate investment firms.
  4. Investor Reporting - reporting distributed to investors.
  5. Investor Portal - clean UI for LP access.
  6. Shared Data Room - document management; bulk K-1 publishing.

Key differentiator: deep integrations with property management, accounting, and banking software keep data current automatically. ML-driven onboarding imports unstructured firm data, cutting onboarding from ~3 months to ~2 weeks. Positioned as the only *automated* REIM solution vs. manual alternatives.

Market

  • Global real estate AUM: $32T managed by tens of thousands of investment firms.
  • Addressable firms: 100,000+ globally.
  • Penetration: 95% of those firms do not yet use investment management software - pie chart confirms ~5% using, ~95% not using.
  • No TAM/SAM/SOM dollar figures stated in deck.

Revenue model

  • Not explicitly stated in deck.
  • Business is clearly SaaS (subscription software platform). Pricing is likely per-firm subscription, possibly tiered by AUM under management or number of investors/users - standard for vertical REIM software (e.g., Juniper Square, Yardi). No per-transaction or AUM-bps fee structure mentioned.
  • No pricing page, ARPU, or contract structure shown.

Traction & metrics

All from slide 2:

  • ARR growth: 1,200% since January (year not stated, ~7-month window to July).
  • AUM on platform: $20B+ in real estate assets managed by customers.
  • Customer growth: 760% in 7 months.
  • Customer count (from bar chart, slide 2 image): January ~5 → February ~11 → March ~15 → April ~19 → May ~25 → June ~33 → July ~43. Approximately 43 customers at deck date.
  • Named clients include Electra America, Migdal Capital Markets, Goldman Investments, Valore, and ~8 others.
  • Average AUM per customer: $20B / ~43 = ~$465M.

Unit economics

  • CAC: Described qualitatively as "low" due to network effects among GPs, LPs, co-GPs, brokers. No dollar figure given.

Competition / moat

  • Positioned as "Blue Ocean" - 95% of market not yet using any software.
  • Explicit moat claims: (a) network effects in fractional ownership ecosystem (GPs refer LPs, co-GPs, brokers → low CAC); (b) ML-powered automated onboarding and data sync vs. manual competitors; (c) all-in-one platform vs. point solutions.
  • No named competitors listed in deck.

Team & funding ask / use of funds

  • Bar Mor - Co-Founder & CEO (MORE background).
  • Noam Kahan - Co-Founder & CTO (Technion + Carnegie Mellon).
  • Lior Dolinski - Co-Founder & CPO (Technion).

Recommended financial model

  • Archetype + why: Vertical SaaS ARR model. Revenue is subscription-based, customers are firms (not individuals), AUM on platform is a key value metric. Standard SaaS cohort/ARR waterfall with AUM-per-customer as a secondary KPI.
  • Forecast horizon & granularity: Monthly for Year 1–2 (to capture rapid customer ramp visible in deck), annual for Years 3–5. 5-year total horizon.
  • Key drivers & assumptions:
DriverSeed value
Customers at deck date~43
Customer growth rate (mo.)~20% MoM (derived from 760% in 7 mo.)
ARR growth rate (period)1,200% since Jan
Average AUM per customer~$465M
Average ARR per customer (ARPU)Unknown - must be researched
Gross margin70–80% - typical vertical SaaS with integration overhead
Monthly churn rate1–2% - early stage, sticky enterprise-adjacent product
CACLow - network-effect driven; placeholder $5K–$20K per firm
New customers per month (forward)continue tapering from ~8/mo to ~4/mo as base grows
  • Scenarios (Base / Bull / Bear - which variables flex):
  • Bull: MoM customer growth stays at 20%+; ARPU at high end ($80K+); churn <1%.
  • Base: Growth decelerates to 10–12% MoM by Year 2; ARPU $40K; churn 1.5%.
  • Bear: Competitive entry accelerates, growth drops to 5% MoM; churn 3%; ARPU pressure.
  • Primary flex variables: new logo adds per month, ARPU, gross churn rate.
  • Required sheets / outputs:
  1. Assumptions - all drivers, scenario toggles.
  2. Customer Cohort Waterfall - monthly new/churned/ending customers.
  3. ARR Build - new ARR, expansion ARR, churned ARR, net new ARR, ending ARR.
  4. P&L - revenue, COGS, gross profit, S&M, R&D, G&A, EBITDA.
  5. Unit Economics - LTV, CAC, LTV/CAC, payback months (placeholders until ARPU/CAC confirmed).
  6. AUM on Platform - parallel KPI tracker alongside ARR.
  7. Dashboard - ARR, customers, AUM, gross margin, burn/runway.

Frequently asked

Is the Agora financial model free?+

Yes. The Agora model is a free Excel (.xlsx) download with live formulas. Sign up with your email and the workbook is yours to keep, review, and edit.

What's included in the model?+

A 5-year monthly forecast with P&L, cash flow and runway, valuation (exit multiple plus a DCF cross-check), MOIC/IRR returns, and unit economics, with live formulas throughout.

How was this model built?+

It was built from Agora's pitch deck and publicly available information, then structured to investment-banking standards as a fully editable Excel model.

Can I change the assumptions?+

Yes. You can change assumptions and the live formulas will recalculate in the downloadable Excel model.

Have more financial modelling questions? Contact us

Alex Tapio, ex-Deloitte financial modelling expert

Created by ex-finance professionals

Hey, I’m Alex and I created Finamodel.

Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.

Every model here is one I’d actually use for a client, and I personally vet each one before it goes up.

I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.

Having a template library on hand cuts a first build from hours to minutes.

Need help finding your model? You’ll find me in the Finamodel app!

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