How Digital Deal Research analyzes listings

Fit Score measures how closely a listing matches the criteria you entered. It is notan investment-quality, risk or valuation score. A high Fit Score means “close to what you asked for”, not “a good business”.

Budget 30

How the asking price sits against the capital you entered. Listings above your budget lose points in proportion to the overshoot.

Income 30

How the disclosed monthly profit compares with the monthly income you asked for.

Workload 25

How the seller-reported owner hours compare with the weekly time you are willing to commit.

Business model 15

Whether the listing carries the monetization you selected. Scored fully when you choose “Any model”.

Scores run from 0 to 100. Where a listing does not disclose a value the component scores zero rather than being estimated, and the missing field is named on the result card. A listing that satisfies every criterion you set is shown as an exact match; the strongest remaining listings are shown separately as close matches, with the specific gaps listed.

Annualized profit

Disclosed monthly profit × 12. A simple annualization of the current run rate, not a forecast.

Annual profit yield

Annualized profit ÷ asking price. What the disclosed profit returns against the capital required, before any financing, taxes or transition costs.

Simple payback

Asking price ÷ monthly profit, expressed in months. It assumes profit stays flat and ignores the time value of money.

Listing multiple

Asking price relative to profit, using the multiple type the marketplace discloses for the listing.

Implied profit / owner hour

Monthly profit ÷ the monthly hours implied by the seller-reported weekly workload. Its accuracy depends entirely on that seller-reported figure.

Downside scenarios

The same calculations re-run on profit reduced by a fixed percentage. This is a mechanical sensitivity check, not a prediction that profit will fall.

Financial history, trends and averages are computed only from the months a listing actually discloses, so a business with three disclosed months is never presented as if it had twelve. Where a figure cannot be calculated it is shown as “—” rather than filled with a substitute value.

An acquisition brief places a listing against a cohort of other businesses that are currently for sale. The cohort is built from listings sharing at least one monetization with the business you are reading about. When too few comparable listings are live to be meaningful, the comparison falls back to the whole current inventory, and the brief says which basis was used.

Percentiles describe where a listing sits within that live cohort on price, profit, workload and economics. They are a snapshot of what is on the market right now — not sold comparables, transaction data, or an appraisal of what a business is worth.

Each brief ends with up to three other current listings worth looking at next. A listing only qualifies if it shares at least one monetization with the business you are viewing — the business model comes first.

Qualifying listings are then grouped by how closely their asking price and monthly profit track the listing you are reading: closely comparable first, broadly comparable next, and same-business-model listings after that. Within a group, listings sharing a niche come first, then those closest on profit, then on price, then on owner workload. Listings missing a figure rank behind listings that disclose it.

There is no similarity score and no personalization. The short line on each card states the properties that actually matched.

The figures on the market intelligence page and in the current-market strip on the finder are recalculated from live inventory at every build. They describe the marketplace as it stands, not a historical series, so they change whenever the inventory does.

• Headline figures are medians, not averages, so a small number of very large listings cannot distort them.
• Each median is taken over its own sample: only the listings that disclosed that figure. A missing value is skipped and never counted as zero, so the sample size is stated alongside every figure.
• Asking prices and listing multiples are only counted above zero. Monthly profit keeps its sign — a loss-making business is a real disclosure and stays in the sample. A disclosed workload of zero hours is valid; a negative one is not.
• Availability bands are cumulative and inclusive of the threshold: a business at exactly $100,000 counts in the “$100,000 or less” band, and one at exactly $3,000 monthly profit counts in the “$3,000 / month or more” band. Percentages are shares of the listings that disclosed the underlying figure, not of the whole inventory.
• A business can carry more than one monetization, so the business-model groups overlap and deliberately do not add up to the inventory total.
• No composite market score, market-health index or AI interpretation is produced. These are descriptive statistics over one marketplace's current inventory.

Current listing data comes from the Empire Flippers public marketplace API. Analysis, scoring and calculations are produced by Digital Deal Research.

• Digital Deal Research is independent. It is not affiliated with, endorsed by, or acting on behalf of Empire Flippers or any marketplace, and it does not own, list or broker the businesses shown.
• Listing information is reported by sellers to the marketplace. It may be incomplete, rounded, or inaccurate, and it is not independently verified here.
• All calculations are derived from that disclosed data. If the underlying figures are wrong, the calculations built on them will be wrong too.
• Marketplace inventory changes constantly. Listings sell, are withdrawn, or change price, so a business shown here may no longer be available.
• Full due diligence — verified financials, traffic data and business identity — happens with the marketplace and the seller, not on this site.

Digital Deal Research publishes research information only. It is not financial, tax, legal or investment advice, and it is not a recommendation to buy any business. Verify a business independently before acquiring it.