How Digital Deal Research analyzes listings

Fit Score compares a listing with the criteria you chose in the Finder. A higher score means the listing is closer to your budget, income target, workload and business-model preference. The score answers a screening question only. It does not tell you whether the business is high quality, low risk or fairly valued.

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. If a listing does not disclose a figure needed for one of your criteria, that part of the score receives zero points rather than using an estimate, and the missing figure is shown on the result card. Listings that meet every criterion with disclosed data appear as exact matches. If all disclosed figures fit but one or more required figures are missing, the listing appears as a potential match instead: DDR cannot confirm the full match, and it is never counted as exact. Listings that miss a disclosed criterion appear separately as close matches, with the specific gaps shown.

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 compares the listing with other businesses that are currently for sale. DDR first looks for listings that share at least one monetization model with the business you are reading about. Those listings form the peer group. If there are too few of them for a useful comparison, DDR falls back to the full current inventory. The brief tells you which comparison basis was used.

The percentiles show where the listing sits within that current comparison group on measures such as price, profit, workload and investment economics. They describe the listings that are for sale now. They are not sold-business comparables, transaction data or an appraisal of what the business is worth.

Each brief ends with up to three other current listings that may be useful to compare next. DDR only considers a listing if it shares at least one monetization model with the business you are viewing. That keeps the first comparison anchored to how the businesses actually make money.

DDR then looks at how close the asking price and monthly profit are to the listing you are reading. The closest economic comparisons come first, followed by broader comparisons and then other listings that share the business model. Within each group, a shared niche is preferred first. Profit similarity comes next, followed by asking price and owner workload. If a listing is missing one of those figures, it ranks behind a listing that discloses it.

DDR does not turn this into a separate similarity score. The short explanation on each card tells you which properties caused that listing to appear.

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 independently operated by Avenlund Group OÜ and is not owned, operated or endorsed by Empire Flippers. Avenlund Group OÜ may receive referral compensation when users follow eligible Empire Flippers links. Referral relationships do not determine DDR's methodology, scoring or analysis.

• Digital Deal Research does not act on behalf of Empire Flippers or any other marketplace, is not owned, operated or endorsed by any of them, and does not own, list or broker the businesses shown.
• The marketplace supplies listing data only. It has no say in how that data is normalized, which peers a listing is compared against, how Fit Score is weighted, or what the analysis concludes.
• The "View on Empire Flippers" link on a Business Brief may be a referral link, and the Brief marks it "Referral link" when it is. Referral compensation does not affect which businesses are shown, how they are scored or ranked, or anything written about them: the same calculations run on every listing, and none of them reads whether a link earns anything.
• 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.