Real Estate Data Analysis Break-Even: $95K Monthly Revenue

Fixed costs $114.3K/mo Year 4 base

Contribution margin 79% After variable costs

Break-even revenue $145.4K/mo Monthly target

Break-even timing Month 39 Forecast point

Break-even calculator

Test monthly revenue, variable expenses, and fixed costs to see when the service breaks even.

Lean Base Full

Monthly revenue Revenue creates the margin that has to cover fixed costs. $ Low sales High sales Variable expenses Direct costs rise with each sale, including data licensing, cloud, commissions, and project support. $ Light direct cost Heavy direct cost

Money available to cover fixed costs $70,200 $90,000 revenue - $19,800 variable expenses

Margin ratio

78%

Covers fixed costs

Yes

Fixed monthly costs This is the monthly overhead the contribution margin must cover. $ Lean overhead Heavy overhead

Break-even chart Revenue Total costs

Which expenses stay fixed, and which move with sales in this property analytics model?

Cost classification

This model reaches EBITDA break-even around Month 39, so classification matters. Keep stable monthly overhead separate from revenue-linked data, cloud, commissions, and support costs.

Expense	Cost	Break-Even Treatment	Common Mistake
Office Rent	Fixed	Use the $5,000 monthly amount from Month 1 through Month 60.	Tying rent to customer count instead of capacity.
Legal & Accounting Services	Fixed	Use the recurring $1,500 monthly amount in fixed overhead.	Dropping it after launch even though it recurs.
Core Software Licenses (CRM, PM)	Fixed	Use the $1,200 monthly base for customer relationship and project management tools.	Modeling the full license stack as usage-based.
Data Acquisition & Licensing	Variable	Apply the revenue percentage, from 12.0% in the first year to 8.0% in Year 5.	Holding data expense flat while sales scale.
Cloud Hosting & Infrastructure	Variable	Apply the revenue percentage, from 8.0% in the first year to 5.0% in Year 5.	Ignoring usage growth from subscriptions and API feeds.
Sales Commissions	Variable	Apply the commission rate, from 5.0% in the first year to 4.0% in Year 5.	Placing commissions in fixed payroll.
Client Onboarding	Semi-variable	Model a base support load plus added effort as new accounts go live.	Treating every new client as zero service work.
New Full-Time Hires	Semi-fixed	Add payroll in approved staffing steps as capacity expands.	Spreading new salaries as a simple revenue percentage.

How does break-even change from a lean launch team to a base buildout and then a full multi-client service?

Scenario table

As the team gets bigger, fixed payroll and marketing rise faster than contribution, so the break-even line climbs from about $946K in lean mode to about $1.80M in the full setup. The mix shifts toward subscriptions and API feeds as volume grows.

Planning assumptions only; actual results can move with client mix, pricing, and hiring pace.

Scenario	Monthly Revenue	Variable Costs	Fixed Costs	CM Ratio	Operating Profit	Break-Even Signal
Lean launch team, custom reports	$946K	$265K	$681K	72.0%	$0	Thin cushion at launch; one weak sales month can turn this negative.
Base expanded team, mixed delivery	$1.41M	$331K	$1.08M	76.5%	$0	Mid-stage scale still needs steady subscription and API volume to hold break-even.
Full multi-client service, subscription led	$1.80M	$342K	$1.46M	81.0%	$0	Better unit economics, but the larger payroll base keeps the break-even line high.

What pushes this plan below break-even?

Stress test

Year 1 is thin: the plan breaks even at about $946K of revenue with a 72% contribution margin. A 10% revenue miss, a 10% fixed-cost jump, or 5 points of margin pressure can push it into loss fast.

Stress Case	Changed Assumption	Break-Even Revenue	Revenue Gap	Risk Signal
Current plan	No change.	$946K	$0 gap	No cushion if acquisition slips.
Revenue shortfall	Revenue falls 10% to $851K.	$946K	$95K gap	Slower client wins turn the plan negative fast.
Fixed-cost pressure	Fixed costs rise 10% to about $749K.	$1.04M	$94K gap	Extra overhead raises the bar quickly.
Margin pressure	Contribution margin falls 5 points to 67%.	$1.02M	$70K gap	Higher data license fees or discounting eat the cushion.
Combined pressure	Revenue falls 10%, fixed costs rise 10%, and margin drops to 67%.	$1.12M	$267K gap	At $851K revenue, loss reaches about $179K.

What should you verify before signing the lease and hiring the first full-time team for this real estate data service?

Founder checklist

Don’t lock in the lease or full-time hires until recurring paid demand can cover the $63.9K monthly Year 1 load. This model stays negative until Month 39, so the real test is whether pipeline, pricing, and delivery speed can survive the $1.005M cash trough first.

1Recurring Pipeline$63.9K/mo

Verify signed or near-signed recurring work can cover the Year 1 monthly load, because break-even does not arrive until Month 39.

2CAC Check$500 CAC

Check that paid leads still come in near the $500 CAC assumption before you spend the $50K Year 1 marketing budget.

3Data Rights12% COGS

Confirm you can license the property data at the assumed 12% cost share, or your forecasts will not be safe to sell.

4Gross Margin72% CM

Test a real mix of subscriptions, API feeds, and custom reports to make sure the 72% contribution margin survives direct data and cloud costs.

5Delivery Load20 hrs/report

Prove one sample custom report still takes about 20 hours, so you can scale output without hiring analysts too early.

6Cash Runway$1.005M gap

Keep enough cash to absorb the $1.005M minimum gap in Month 38, since payback does not show up until Month 58.