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After-Repair Market Analysis Report (MAR)

After-Repair Market Analysis (MAR)

Input Data for After-Repair Value (ARV) Generation

Subject Property Overview

Context:

This section confirms the subject’s identity and current “As-Is” state before applying repair assumptions.

Location & Identity

Current Use, Occupancy & Condition

After Repair Overview

Hypothetical Condition:

Define the projected characteristics of the subject property after all proposed renovations are complete. This forms the basis for the ARV analysis.

Submarket Definition (Subject’s Competitive Set)

Why this matters to you:

This section defines the subject’s true competitive set—the niche where buyers are actually choosing between this property and its closest substitutes. By naming the submarket, quantifying pricing and rent ranges, and tracking inventory and investor activity, you create the bridge between the Market Area Report and the CMA/BPO value conclusions. It supports your final opinion on price, exposure time, and the most likely buyer segment.

Define the subject’s immediate competitive niche based on price point, buyer segment, property characteristics, and market behavior.

Submarket Pricing Overview

Submarket Sales Activity

Why this matters to you:

This section drills down into the specific Submarket defined earlier. By analyzing sales volume, pricing, and marketing times specifically for this competitive set, we can determine the most probable selling price and exposure time for the subject property with greater precision than broad market data allows.

Enter the sales and listing statistics for the specific submarket (competitive set) defined in the previous section.

Sold Listing Activity

Active Listing Activity

Submarket Distressed Activity

Why this matters to you:

Distressed activity specifically within this submarket can signal localized issues or opportunities. While the broader market might be healthy, a high concentration of distressed sales in this specific niche could indicate oversupply, financing difficulties for this buyer type, or specific neighborhood decline.

Report on the presence and impact of distressed inventory (REO, short sales, etc.) within the specific submarket.

Distressed Listing Activity

Submarket Rental Activity

Why this matters to you:

Rental data provides critical support for value, especially for investment properties or in areas with high tenant occupancy. Analyzing rents, vacancies, and trends helps determine the income potential of the subject property and supports the Income Approach to value if applicable.

Analyze the local rental market conditions to support income-based value conclusions or investor demand.

Rental Market Analysis Scope

Submarket Rental Market Data

Rented Listing Activity

Active Rental Listing Activity

Pricing Segmentation

Why this matters to you:

Market value is not just a single number; it falls within a range defined by condition. By establishing the pricing brackets for “Low” (fixer-upper), “Average” (livable but dated), and “High” (fully renovated), we can clearly place the subject property on this spectrum. This justifies whether your final value opinion should be at the top, middle, or bottom of the market range.

Define the low, average, and high value ranges for both Sales and Rentals within the submarket.

Sales Price Brackets

Low Price Range (Damaged – Poor Condition)

Average Price Range (Fair – Average Condition)

High Price Range (Good – Excellent Condition)

Rental Market Bracket Scope

Rental Price Brackets

Average Rental Range (Fair – Average Condition)

High Rental Range (Good – Excellent Condition)

Submarket Narrative Summary

Target Buyer Profile (After Repair)

Why this matters to you:

This section translates the market data and property condition into a clear picture of who is most likely to buy this property and how they will finance it. It connects the Submarket Definition and Affordability Analysis to a practical buyer profile, supporting decisions about list price, marketing strategy, renovation scope, and expected time on market for both owner-occupant buyers and investors.

Identify the most likely buyer segment based on the subject’s location, projected condition, affordability, and overall position within the market.