Income Property Acquisition Intelligence
Stop guessing what an income property is worth. Learn the acquisition method in the book.
Digital educational products. Designed primarily around US multifamily income-property acquisition practices.
Income Property Acquisition Intelligence
Stop guessing what an income property is worth. Learn the acquisition method in the book.
Digital educational products. Designed primarily around US multifamily income-property acquisition practices.
Stop guessing what an income property is worth. Learn the acquisition method in the book. Capture the property facts in the included Deal Fact-Find. Apply a five-phase, AI-ready decision framework.
From the rent roll and trailing operating statements to lender constraints, due diligence and the first 100 days of ownership—evaluate the deal before you commit the capital.
Digital educational products. Designed primarily around US multifamily income-property acquisition practices.
A compelling cap rate can hide optimistic vacancy assumptions, missing expenses or an outdated tax bill. A financing illustration can assume a loan the property cannot support. And a generic AI prompt can turn unreliable inputs into a polished—but unreliable—answer.
Reconcile the rent roll, actual collections and T-12 operating statements. Rebuild costs rather than accepting the seller's pro forma.
Compare loan-to-value, DSCR and debt-yield constraints. Evaluate the buyer's actual cash requirements and downside exposure.
Set your investment thresholds in advance, then calculate the maximum price that clears the acquisition tests.
Underwrite It. Finance It. Fund It. A practical guide to understanding the full income-property acquisition process—before you make an offer, approach a lender or assemble the funding.
This approximately 165-page book walks the reader from the economics of income-producing property through detailed underwriting, debt sizing, return tests, negotiation, due diligence, capital raising considerations, closing and ownership.
Rather than treating property as a price-per-unit speculation, the book approaches the building as an operating business whose income, expenses, physical systems and financing must work together.
Book value: $79 · Included in the Complete Package
The book answers: What should I examine, how do the numbers connect, and why does each test matter?
Benchmark deals. Test assumptions. Prepare AI-ready analysis.
The companion 11-page PDF takes the book's underwriting method and turns it into a structured, five-phase evaluation process. It provides AI prompt templates, weighted scorecards, red-flag checklists, valuation references and an operating transition roadmap.
Use the framework manually or supply the toolkit and your verified property information to ChatGPT, Claude or another large language model. Work through each phase, review its calculations, and decide what needs further evidence before proceeding.
Toolkit value: $129 · Included in the Complete Package
The toolkit answers: How do I run the same disciplined tests on the property I'm evaluating now?
Test unit-count economics, lending category and the quality of market comparable evidence.
Rebuild operating income and expenses; test asking price against quick and detailed valuation methods.
Identify binding loan constraints, calculate returns and occupancy thresholds, and stress-test debt coverage.
Check documents and building condition; rerun the numbers when new findings change the risk or capital requirement.
Reconcile capital sources and uses, prepare the closing and transition checklist, and structure the first 100 days. This phase is not included in the weighted DIS.
The DIS is a proprietary organizing rubric, not an independently validated investment rating or guarantee.
Seller's asking price
Approximate detailed income-based price check
Approximate model-derived walk-away price
Why the difference? The buyer's loan sizing, cash-on-cash target, break-even occupancy and stressed debt coverage can impose tighter limits than the seller's asking price. The book explains the mechanics; the toolkit gives you the prompts and scorecards to apply the tests.
Illustrative teaching example only. Figures are not a real transaction, appraisal, forecast or promise of investment performance. Recalculate with verified deal-specific inputs.
A structured place to collect the property facts before you start the analysis.
Good underwriting starts with reliable inputs. The included Deal Fact-Find helps you organize the information needed to work through the Acquisition Toolkit rather than asking an AI assistant to fill gaps with assumptions.
Bring together the property's unit mix, asking price, rent roll and T-12 information, financing assumptions, market evidence and available inspection findings. Distinguish confirmed facts from estimates and outstanding questions.
Included with the Complete Package · No separate purchase required
The Fact-Find is an input-collection aid, not a source of verified market data or an automated underwriting engine.
Understand the underwriting sequence, the calculations, lender constraints and diligence questions before making assumptions.
Gather the rent roll, T-12, unit mix, asking price, loan assumptions, market evidence and inspection findings. Use the included Income Property Deal Fact-Find to organize the inputs.
Feed the toolkit and property facts into your AI assistant, or work manually. Review phase scores, gaps, calculations, red flags and the modeled walk-away price.
Important: The Income Property Deal Fact-Find is included in the Complete Package. Complete it with information supported by the seller’s records, your research and professional reports before using it with the AI-ready toolkit.
Learn the method in the book, collect deal-specific inputs in the Fact-Find, then apply the AI-ready toolkit to benchmark the property, test financing and assess risks.
Book and toolkit prices are shown for value comparison only. The Deal Fact-Find is included at no separately stated price. All three resources are sold together on this page.
Save $29 versus the book and toolkit reference prices; Deal Fact-Find included.
One purchase. Three digital resources. No software subscription.
Get the Complete Package →Prices in USD. This is a digital educational package, not hosted AI software. Set the Complete Package purchase URL in Shopify Theme Editor before launch.
The book explains the complete acquisition process and the reasoning behind the underwriting and financing tests. The toolkit turns that method into five phases with AI prompts, weighted scorecards and practical checks for a specific property.
The Complete Package includes the book, the toolkit and the Deal Fact-Find sheet. Learn the method, collect the property facts, then evaluate the deal using a repeatable framework.
No. It is a downloadable PDF with prompts, formulas and scorecards. You use your own AI assistant or work through the framework manually. Any AI output and calculation should be independently verified.
Yes. The Income Property Deal Fact-Find sheet is included in the Complete Package, so you can organize property-specific information before running the toolkit’s prompts and scorecards.
The analytical principles may be useful in other markets, but the materials are primarily oriented toward US income-property financing, tax, due-diligence and legal practices. Adapt them with qualified local professionals.
It provides a method for estimating the maximum supportable price under your own assumptions and thresholds. The answer depends on verified property information, financing terms and independent professional review; it is not an appraisal or investment recommendation.
Read the numbers. Test the debt. Inspect the risk. Set the walk-away price before the negotiation starts.
Elie Jabbour | MEP Workflow Architecture & Acquisition Analyst | Creator of the MEP Sequencing Playbook & AI-Ready M&A Evaluation Toolkit | 20 Years of International Project Experience across Building Services, Oil and Gas, and Water Treatment — Designing and Specifying to ASHRAE, CIBSE, SMACNA, NFPA, and BS standards across GCC, European, and North American Projects.