Turnkey iBuyer Solutions for Real Estate Brokerages
The way we buy and sell houses is changing. There is a transaction revolution currently happening in the Real Estate Industry and homebldr is providing traditional real estate brokerages with the tools necessary to adapt and succeed.
homebldr enables real estate brokerages to stand up in-house iBuying programs and provide clients with an alternative way to sell their home.
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iBuyers, such as Opendoor, Offerpad, and Redfin, have invented a new way to sell houses and have injected the benefits of speed, flexibility, convenience, and certainty into the transaction process. These corporations leverage data and machine learning to provide instant cash offers for houses that they can renovate and sell for a profit. The benefits provided by iBuyers is helping them gain market share at an exponential rate and real estate brokerages that only offer traditional representation services will continue to lose market share to iBuyers unless they change.
In 2021, iBuyers were involved in over 1.3% of house transactions in the US resulting in approximately $50 billion in sales volume and $3 billion in commission revenue diverted from traditional brokerages. If the rate that iBuyer market share is growing continues, they could reach 5% market share by 2025 resulting in $200 billion in sales volume and $12 billion revenue commission no longer being generated by traditional brokerages.
homebldr’s iBuyer platform, homebldr.ai, was modeled after the data and machine learning tools used by iBuyers and enables brokerages to start their own in-house iBuying programs. We provide brokerages that subscribe to homebldr.ai with multiple potential sources of capital to fund their iBuyer programs. We're empowering brokerages with the tools necessary to, not just compete with iBuyers, but surpass them. By combining our technology and sources of capital with their local market knowledge, brokerages will be able to execute the iBuyer business model as a sustainable pace leading to higher and more stable margins.
Democratize the tools necessary for traditional real estate brokerages to adapt to the transaction revolution happening in the Real Estate Industry.
What iBuyers are doing
The significantly flawed real estate transaction process and the illiquidity of the real estate asset class has inspired the invention of a new type of real estate "brokerage" and a new way to sell a house. iBuyers, short for instant buyers, are real estate companies that leverage data and machine learning models to provide instant cash offers for millions of single family homes. Before acquiring a house or even making an offer, iBuyers use machine learning models to determine the current value of the house, estimate the price that will earn seller consideration, predict which renovations will efficiently increase property value, and understand how to maximize the sale price. iBuyers are using machine learning to essentially master the process of house flipping, with 2021 returns surpassing 8% nationally and 12% in hot markets. However, iBuyers are not just ML-powered house flippers. They are market-makers with the goal of improving the process of buying and selling real estate.
The pros and cons
The data and machine learning-powered tools used by iBuyers predict how much profit each house can generate. This allows iBuyers to pay sellers more than fair market value for certain houses while still leaving room for a positive margin. Additionally, iBuyers also offer convenience and certainty to sellers by providing an alternative to the traditional process of working with a broker and dealing with flaky potential buyers, saving time and stress. These benefits provide significant value for sellers and will be the reason for the continuous increase in iBuying adoption over the next decade. However, the iBuying business model completely displaces traditional brokers. In 2021, iBuyers achieved a 1% share of the housing market, claiming $26 billion in sales volume and $1.6 billion in commission revenue. Our data has indicated that by 2025, iBuyers may have a 5% share of the housing market, absorbing $160 billion in sales volume and $10 billion in commission revenue. By 2030, the possibility of a 20% market share would translate to $650 billion in sales volume and $40 billion in commission revenue.
We're leveling the playing field
The upfront costs of hiring professionals to build out data and machine learning tools internally and the difficulty of securing capital for iBuying purposes have delayed the adoption of the iBuyer business model by brokerages. At homebldr, we believe that brokers are essential to the real estate industry and we're on a mission to democratize the tools necessary for brokerages to adapt to the transaction revolution currently happening in the Real Estate Industry. By providing technology and access to capital, we are enabling any brokerage to operate like an iBuyer without having to build any tools internally. While iBuyer's buy-to-sale premiums can range from -40% to upwards of 30%, we believe that combining our technology and sources of capital with brokerages' local market knowledge will allow brokerages to operate in a more consistent buy-to-sale premium range leading to higher and more stable margins.
Cash Offer Analysis
Analyze a house owned by a customer that requests an instant cash offer
View the current fair market value of the house
Manually select one or multiple renovations to observe the effect on the house's value and calculate the return-on-investment of implementing the renovations
Determine the best use of a renovation budget for the house and the corresponding ROI
Find the best renovation service providers for specified renovations in the house's local market
Calculate the instant cash offers amount that will generate a positive return
Cash Offer Analysis
Determine which houses in a market to provide instant cash offers for
View the current fair market value of all houses in a geographic boundary
Determine the best use of a renovation budget on every house in a geographic boundary and the corresponding ROIs
Conclude which houses will generate the highest returns and are worth providing instant cash offers for
Export your analysis and integrate with 3rd party tools
Search the MLS for listings that meet clients' value-add criteria
View property characteristics and our proprietary fair market value prediction for every listing on the MLS
Find the best listings for clients searching for a value-add opportunity
Pull comparables data for any property on-market or off-market
Be able to tell your client which renovations would add the most value to their house before they sell
Produce homebldr renovation reports to quantitatively communicate to potential buyers the value-add opportunity that your listing presents