King MLS

Property search and ranking for Mike King

Try the search and buyer matching with fictional listings. Demo changes stay in your browser; Mike’s working app is private.

Story narration

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Mike King has an established formula for evaluating real-estate opportunities in Los Cabos. I built a system that applies his formula to saved MLS searches and brings the ranked listings and market information together on his website. He uses the rankings in his newsletter to attract prospective clients and bring in new business, as well as helping existing clients compare properties and decide what to buy. The supporting automation keeps listing data and ranked Google Sheets results up to date.

Mike’s market rank compares properties using his formula. A separate buyer match rank considers what a particular buyer wants. Keeping both visible lets him distinguish a property’s position in the market from how well it suits that person.

This walkthrough uses an example buyer. The Google Sheet shows Mike’s ranked output.

Set the buyer’s criteria

This buyer has a $250,000 budget and wants at least two bedrooms and two bathrooms. A pool is required; furnished and ocean view are preferences. Mike can record those differences instead of treating every feature as equally important.

Buyer criteria for a $250,000 property with two bedrooms, two bathrooms and a pool, with furnished and ocean view preferred — The buyer’s requirements stay separate from their preferences.

Compare the matches

The shortlist shows each property’s price, buyer match rank and market rank. It also explains which requirements the property meets and what makes it relevant, so Mike can compare the reasons for a match before opening the listing.

A property shortlist showing prices, buyer match rank, market rank and reasons each property fits — Compare the leading matches, including unmet preferences and the points behind each buyer score.

Review a property

Opening a candidate keeps the buyer’s criteria alongside the photographs, pricing and property details. Mike can inspect the listing, then return to the same shortlist. The ranking helps him narrow the search; he still makes the recommendation.

A selected property with photographs, price, market rank and listing details — Mike can open a candidate to inspect the property and its pricing.

Keep the comparison available

The automation also updates Mike’s Google Sheets, with combined rank, price rank and price per square foot rank alongside the listings. This keeps the comparison available in the format he uses with clients and for his newsletter.

Mike’s El Tezal West Google Sheet with combined rank, price rank, price per square foot rank and property addresses — Mike’s ranked Google Sheet for El Tezal West.

Behind these views, the system syncs listings from the MLS feed and checks the data for issues, including duplicates. That maintenance supports the part Mike’s clients see: current information he can review and use in a conversation about a property.