From ARV to MAO: A Practical Wholesale Deal Analysis Workflow

A maximum allowable offer is an output, not the beginning of the analysis. The quality of the result depends on the assumptions underneath it: the property’s likely after-repair value, the work required, transaction and holding costs, the end buyer’s return requirements, and the assignment or wholesale fee the deal must support.

A practical workflow makes those assumptions visible. That allows another team member to review the deal, update one input when new information arrives, and explain why an offer range changed without rebuilding the analysis from memory.

Separate property facts from assumptions

Start with the facts you can support: address, property type, size, bed and bath count, lot characteristics, occupancy, visible condition, and known title or access issues. Then label estimates as estimates. A repair number based on a short seller description should not look as certain as a contractor scope or detailed walkthrough.

• Record the source and date for each important fact.
• Use ranges when condition or cost is uncertain.
• Do not silently fill missing information with optimistic assumptions.
• List the questions that could materially change the analysis.

Build ARV from relevant comparable sales

After-repair value should be supported by renovated properties that a future retail buyer would reasonably compare with the subject. Proximity is important, but similarity in property type, size, age, layout, condition, and sale timing also matters. A nearby sale can still be a poor comparable if it belongs to a different buyer segment.

1. Define the renovated condition you are assuming for the subject.
2. Select recent closed sales with the strongest physical and market similarity.
3. Identify meaningful differences instead of relying only on average price per square foot.
4. Create a supported value range, then choose a working ARV within that range.
5. Document why each comparable was included and what could weaken it.

Estimate repairs at the level your evidence supports

Repair estimates should match the intended end condition used in the ARV. Organize the scope by major systems and finish categories, then include contingency for uncertainty. Avoid applying one universal cost-per-square-foot number without checking whether the property needs cosmetic work, major systems, structural work, or a different renovation standard.

• Exterior, roof, windows, and drainage
• Foundation, structure, and major systems
• Kitchen, bathrooms, flooring, paint, and fixtures
• Permits, cleanup, landscaping, and contingency

Model the end buyer’s complete economics

The investor buying the contract or property evaluates more than purchase price and repairs. Financing, closing costs, taxes, insurance, utilities, holding time, selling costs, market risk, and desired profit can all affect what they will pay. Local buyer behavior matters more than a formula copied from another market.

A formula can organize assumptions. It cannot make weak assumptions reliable.

Use a configurable model rather than treating a single percentage rule as universal. Record the buyer-side assumptions and test how the result moves when ARV decreases, repairs increase, or disposition time extends.

Translate the analysis into an offer range

Once the end-buyer ceiling is estimated, account for the wholesale fee and any transaction structure costs to derive the acquisition ceiling. Then create a negotiation range rather than presenting the ceiling as the opening offer. The range should reflect confidence in the inputs and the seller’s priorities, not only the spreadsheet.

• Conservative case: protects against weaker value or higher repairs.
• Working case: uses the most supportable current assumptions.
• Upper boundary: requires clearly stated favorable assumptions and additional review.

Create an approval trail

Store the comparable set, repair range, working assumptions, calculated outputs, reviewer, and decision date with the lead. When new photos, access, or seller information arrives, update the relevant assumption and preserve the reason for the change. This turns deal analysis into a repeatable team process instead of a number that cannot be audited.