Instead of the usual 1-7% real estate commission without a guarantee, try Pay Per Offer.
In the founding days of One Minute Home Selling we wanted to focus on creating a most efficient way to generate offers for properties. We didn’t want real estate commission to get in the way of profit. It didn’t matter whether our users were paying 10% commission or zero what they really wanted was the most profit from the sale of a property.
It was a difficult task — and difficult conversation — to determine whether paying commission could produce better result than going for sale by owner. As debates between hiring Realtors vs. Selling by owner raged on the internet it became evident that it was only a matter of time when offers including commissions could be compared in real-time.
Here we are in 2022! Now you can compare offers side-by-side and pay per offer received.
This has been the greatest innovation for the industry since the birth of the multiple listings service ( mls ) almost 90 years ago.
About the Author
Kosol Sek is the founder of Homeselling AI® and inventor of the NoDiscount® PROCESS, built on one principle: create value before lowering price.
Before becoming a licensed Minnesota real estate broker in 2005, Kosol and his team used the NoDiscount® PROCESS to sell as many as 300 properties per month, often in 15 days or less—including properties that had failed to sell with traditional agents charging 6% commissions.
His book, NoDiscount, documents the U.S. Copyright-protected process and its 30+ strategies for creating buyer value and competition before lowering price, generating 5%–27% in additional profit.
Kosol’s technology and consumer advocacy experience dates to the late-1990s Internet boom, when he managed 300,000+ subscribers to AmazingSecrets.com. More than 20 years later, he remains active in real estate, while the NoDiscount® PROCESS has evolved into Homeselling AI®, a free Autonomous Home Selling platform designed to synchronize buyers and offers.
His latest book, Guaranteed Highest Offer, asks the question at the center of his work:
How do you really know you have the highest offer if you haven’t discovered every available offer first?